Biodiversitas vol. 15, no. 2, October 2014

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ISSN: 1412-033X E-ISSN: 2085-4722


Journal of Biological Diversity Volume 15 – Number 2 – October 2014

ISSN/E-ISSN: 1412-033X (printed edition), 2085-4722 (electronic)

EDITORIAL BOARD (COMMUNICATING EDITORS): Abdel Fattah N.A. Rabou (Palestine), Alan J. Lymbery (Australia), Alireza Ghanadi (Iran), Ankur Patwardhan (India), Bambang H. Saharjo (Indonesia), Daiane H. Nunes (Brazil), Ghulam Hassan Dar (India), Guofan Shao (USA), Faiza Abbasi (India), Hassan Pourbabaei (Iran), Hwan Su Yoon (South Korea), I Made Sudiana (Indonesia), Ivan Zambrana-Flores (United Kingdom), Joko R. Witono (Indonesia), Katsuhiko Kondo (Japan), Krishna Raj (India), Livia Wanntorp (Sweden), M. Jayakara Bhandary (India), Mahdi Reyahi-Khoram (Iran), Mahendra K. Rai (India), Mahesh K. Adhikari (Nepal), María La Torre Cuadros (Peru), Maria Panitsa (Greece), Muhammad Akram (Pakistan), Muhammad Iqbal (Indonesia), Mochamad A. Soendjoto (Indonesia), Mohib Shah (Pakistan), Mohamed M.M. Najim (Srilanka), Pawan K. Bharti (India), Paul K. Mbugua (Kenya), Rasool B. Tareen (Pakistan), Seweta Srivastava (India), Seyed Aliakbar Hedayati (Iran), Shahabuddin (Indonesia), Shahir Shamsir (Malaysia), Shri Kant Tripathi (India), Stavros Lalas (Greece), Subhash Santra (India), Sugiyarto (Indonesia), T.N.Prakash Kammardi (India)

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Sebelas Maret University Surakarta


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 109-114

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150201

The study of genetic diversity of Daemonorops draco (Palmae) using ISSR markers REVIS ASRA1, SYAMSUARDI2, MANSYURDIN3, JOKO RIDHO WITONO4,♥ 1

Graduate School of Science Education, Department of Biology, Jambi University. Jambi 36361, Jambi, Indonesia. 2 Herbarium of Andalas University (ANDA), Department of Biology, FMNS, Andalas University, Padang 25163, West Sumatra, Indonesia 3 Laboratory of Genetic, Department of Biology, FMNS, Andalas University, Padang 25163, West Sumatra, Indonesia 4 Center for Plant Conservation Bogor Botanic Gardens, Indonesian Institute of Sciences (LIPI). Jl. Ir. H. Juanda 13 Bogor 16003, Indonesia. Tel./ Fax (+62) 0251-8322187. ♥email: jrwitono@yahoo.com Manuscript received: 9 June 2014. Revision accepted: 8 August 2014.

ABSTRACT Asra R, Syamsuardi, Mansyurdin, Witono JR. 2014. The study of genetic diversity of Daemonorops draco (Palmae) using ISSR markers. Biodiversitas 15: 109-114. The genetic diversity in five populations of Daemonorops draco (Willd.) Blume (Jernang: in Bahasa Indonesia) was analyzed using Inter Simple Sequence Repeat (ISSR) markers. The screening results from using 15 ISSR primers showed that only 5 of ISSR primers had clear and reproducible bands. Based on the data from the matrix binary analyzed using POPGENE version 3.2, the highest genetic diversity was found in the Sepintun population at 0.0969 average heterozygosis (H) and 0.146 average Shannon Index (I). The heterozygosis calculation of the total population (HT) was 0.2571. The heterozygosis value within a population (HS=0.0704) was smaller than that between populations (DST=0.1867). Using the clustering analysis program Pastversion 32 on 43 individuals of D. draco, we found that there were three groups of D. draco. Group A consisted of 8 individuals in the Bengayoan population, group B consisted of 9 units in the Nunusan population and group C consisted of three populations; Tebo, Sepintun and Mandiangin consisted of 10, 8 and 8 individuals. The genetic similarity varied among all populations with the values between 0.07-0.93. Key words: Daemonorops draco, genetic diversity, ISSR marker.

INTRODUCTION Daemonorops is a genus of rattan palms. The genus consists of 115 species, but only 12 of which produce resin known as dragon's blood palm. Rustiami et al. (2004) states that the distribution of the species of the dragon’s bloods is limited to Malaysia, Thailand and western Indonesia. Daemonorops draco (Willd.) Blume is a species that produces the most resin of high economic value, because of its larger fruits and longer in fructescences. Daemonorops draco is usually found in Sumatra (Jambi, Riau and Bengkulu) and Kalimantan (Purwanto et al. 2005). Daemonorops draco resin can be internally processed in the human body to improve blood circulation, improve tissue regeneration, cure sprains, ulcers, control bleeding, and relieve pain (Bensky and Gamble 1993; Thomson 2007). The resin is a source of livelihood for the indigenous tribes (Anak Dalam, Talang Mamak and Melayu Tua) who live in the Bukit Tigapuluh National Park of Jambi and Riau Provinces, Indonesia. Cultivation of the species has not been done. Since local people usually harvest young fruit for high yields of resin, it is very difficult to find mature fruit to get seeds for cultivation. Planting seedlings is also less desirable, because usually less than50% of young individuals reach maturity. Habitat destruction of D. draco for oil palm and rubber plantations also causes

population reduction of the species. According to the Forestry Department of Jambi Province (2009), the presence of D. draco in wild population is rare. Efforts to overcome the scarcity of D. draco through both in situ and ex situ conservation are important to do. Because conservation deals with the species' adaptability in its environment, knowledge of the level of genetic diversity is the most important thing in the effort to conserve D. draco. Hamrick et al. (1990) argued that the data of genetic diversity and gene flow mechanisms must become a criterion to determine the effectiveness of conservation programs in situ and ex situ. Therefore, it is necessary to know the level of genetic diversity in the natural habitat, such as Bukit Tigapuluh National Park, secondary forest and the cultivation area of D. draco. Molecular markers are usually used to analyze the genetic diversity within and among populations. ISSR (Inter Simple Sequence Repeat) markers are some of the most useful markers used in investigating the clonal diversity and population genetic structure (Rossetto et al. 1999). As a PCR-based marker, the ISSR marker has several advantages over others. The binding of ISSR primers is directed by simple sequence repeat, unlike the SSR marker that does not need prior knowledge of the target sequence on ISSRs (Godwin et al. 1997). In addition, the target sequences are very abundant throughout the ISSR eukaryotic genome and evolve rapidly. As a consequence,


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ISSR markers generate a large number of polymorphic fragments per primer (Fang and Roose 1997). The study indicates that the ISSR markers produce both reliable and reproducible bands because the annealing temperature and sequence of ISSR primers are extended (Qian et al. 2001). The ISSR method has been used in several palm species such as Pinanga (Witono and Kondo 2006), Calamus thwaitesii (Ramesha et al. 2007) and Phoenix dactylifera (Younis et al. 2008).

MATERIALS AND METHODS Plant materials Forty three individuals of D. draco were obtained from five locations: three locations in Bukit Tiga Puluh National Park (BTNP) in the Province of Jambi and Riau, Indonesia, another location in the secondary forest in the Province of Jambi and the other location in a rubber cultivation area in the Province of Jambi, Indonesia (Figure 1). Genomic DNA extraction All of genomic DNA were extracted from silica geldried leaf tissues. First, the leaves were ground into a fine powder in liquid nitrogen using a mortar following the modification of CTAB (cetyl trimethyl ammonium bromide) protocol described by Doyle and Doyle (1987) with additional modifications described by del Castillo (2006). The DNA template samples were diluted with TE buffer to create the working solution of 10 ng μL-1 for PCR analysis.

PCR (Polymerase Chain Reaction) The DNA amplification was carried out following ISSR technique using kits Go Taq® Green Master Mix, Promega Madison WI USA’s product, which contained PCR amplification components: enzyme Taq DNA polymerase, dNTPs, MgCl2 and PCR buffer. To create the cocktail needed, we used 12.5 μL Go Taq® Green Kit, 3 μL ISSR primer (20 pmol mL-1 concentration), 3 μL of DNA template (20 ng μL-1 concentration) and 6.5 μL of nucleasefree water. The DNA amplification was done on a PCR machine (MultiGEN labnet), for about 35 cycles. PCR procedures were carried out in the following order: (1) one cycle of denaturation at 94oC for 5 min: (2) 35 cycles of 94oC for 60 s (denaturation), 50oC for 45 s (annealing), 72oC for 120 s (extension); and (3) final extension 72oC for 5 minutes and followed by soaking at 4oC. Electrophoresis The amplified result of DNA fragments by ISSR marker was processed using electrophoresis with 5 µL of the standard DNA, 1 kb DNA ladder (100 ng μL-1) in the first slot of 1.5% agarose gel in TBE 1X as the buffer solution. Then, agarose gel was run using electrophoresis technique with 60 volt for 90 minutes at room temperature. The resulting amplified bands were observed using gel documentation (Alpha Innotech) and recorded onto a CD. Each reaction was repeated 2 times to get the reproducible bands.

Figure 1. Daemonorops draco leaf sampling sites for genetic diversity research.


ASRA et al.– Genetic diversityof Daemonorops draco

Data analysis The results of the binary data matrix were analyzed using the population genetics software POPGENE version 3.2 (Yeh et al. 1997). A dendrogram was constructed based on the genetic distance matrix introduced by Nei (1978) using the program Past.

RESULTS AND DISCUSSION There were five useful primers (HB 8, UBC807, UBC808, UBC810 and UBC834) found from the 15 primers that were screened. These five primers were used for PCR amplification. These five primers produced various sizes of bands. The band profiles produced from the five primers were used to study the genetic variation within and among populations of D. draco, the resulting bands were clear, polymorphic and reproducible (Figure 2). The five primers used in this research produced 175 bands that were scored and used for further analysis. Of the total number of bands produced using the five primers on the five different populations of jernang, there were 47 bands in the Mandiangin population, 51 bands in the Bengayoan population, 53 bands in the Tebo population, 57 and 64 bands in the Sepintun and the Nunusan populations. These polymorphic bands from every primer varied from 11to 15 and the scores varied from 30 to 37 (Table 1). The percentage of polymorphic bands was calculated on the profile DNA bands different in different individuals (Klug et al. 2012). In this research, the UBC810 produced the greatest number of polymorphic bands (15) and the total bands scored (37). On the other hand, HB8 produced the minimum number of polymorphic bands (10) and total bands scored (30). As a result, the HB8 primer contained fewer repeated DNA (GA)6) in their DNA sequences than the other 4 primers, which had DNA sequences repeated for about eight times. According to the research of Witono and Kondo (2006) on Pinanga genetic analysis using ISSR markers, the minimum number of polymorphic bands (10) was found with the UBC primer 881,which had fewer repeated DNA sequences (GGGTG)3) than the 8 other primers that had repeating DNA sequences t repeated for about eight times. Some of the other primers used in this study were: UBC813 (CT)8T), UBC815(CT)8G), UBC844 (CT)8RC and UBC845(CT)8RG). The POPGENE analysis program version 3.2 was used to analyze the genetic diversity of D. draco in each population (Bengayoan, Nunusan, Tebo, Sepintun and Mandiangin). Table 2 shows that the highest percentage of polymorphic loci was found in the D. draco population in Sepintun (29.14% with 51 polymorphic loci), followed by the population in Bengayoan (20.57% with 36 polymorphic loci), Tebo (17.71% with 31), Nunusan (16.00% with 28) and finally Mandiangin (9.71% with 17). The percentage of polymorphism and the number of polymorphic loci demonstrate that the percentage of polymorphism is influenced by the population and the research sample. The Mandiangin population was the population with the fewest individuals (20 individuals).

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Heterozygosity (H) or gene diversity is used to show diversity, since it has a few correlations to the population size and the polymorphic loci number. The highest number in genetic diversity was found in the Sepintun population with an average heterozygosity (H) of 0.0969 and an average Shannon index (I) of 0.146. The values of Bengayoan population were 0.0806 (H) and 0.1175 (I), Tebo population 0.0756 (H) and 0.1088 (I), the Nunusan population 0.0620 (H) and 0.0910 (I.) The lowest genetic diversity was found in the Mandiangin population with H = 0.0542 and I = 0.0369.

A

B

C

D

E Figure 2. ISSR profile from D. draco in the five populations: (a) Bengayoan (BTNP), (b) Nunusan (BTNP), (c) Tebo (BTNP), (d) Sepintun (secondary forest) and (e) Mandiangin (plantation).


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Table 1. Primer sequences and amplification numbers of polymorphic bands

Primer HB 8 UBC 807 UBC 808 UBC 810 UBC 834

Sequences 5’-GAGAGAGAGAGAGG-3’ 5’-AGAGAGAGAGAGAGAGT-3’ 5’- AGAGAGAGAGAGAGAGC-3’ 5’-GAGAGAGAGAGAGAGAT-3’ 5’-AGAGAGAGAGAGAGAGYT-3’ Total

No. of amplification bands 12 13 13 16 13

Repeated DNA (GA)6 GG (AG)8 T (AG)8 C (GA)8 T (AG)8 YT

No. of polymorphic bands 11 13 13 15 13

Polymorphic bands (%) 96.67 100 100 93.75 100

No. of bands scored 30 37 37 36 35 175

Table 2. The results of the analysis of Daemonorops draco genetic diversity with ISSR markers in each population: Bengayoan, Nunusan, Tebo, Mandiangin and Sepintun. Total Na Ne H I Pp (%) N samples Bengayoan (BTNP) 8 1.2057 ± 0.4054 1.1449 ± 0.3147 0.0806 ± 0.1691 0.1175 ±0.2417 20.57 36 Nunusan (BTNP) 9 1.16 ± 0.3677 1.1083 ± 0.2685 0.062 ± 0.149 0.091 ± 0.2156 16.00 28 Tebo (BTNP) 10 1.1771 ± 0.3829 1.1373 ± 0.3095 0.0756 ± 0.1673 0.1088 ±0.2389 17.71 31 Sepintun (Secondary forest) 8 1.2914 ± 0.4557 1.1661 ± 0.3148 0.0969 ± 0.1713 0.146 ± 0.2477 29.14 51 Mandiangin (Plantation) 8 1.0971 ± 0.297 1.0655 ± 0.2201 0.0369 ± 0.1201 0.0542 ± 0.1728 9.71 17 Note:Pp (%): Percentage of polymorphic loci, N: Number of polymorphic loci, Na: The average number of alleles observed, Ne: The average number of effective alleles, H: The average heterozygosity/Nei’s genetic diversity, I: Mean Shannon index (Lewontin 1972) Population

Genetic diversity of D. draco in the Bukit Tigapuluh National Park (BTNP) should be higher than other populations. Based on the study, genetic diversity of three populations of D. draco in BTNP (Bengayoan H = 0.0806, Nunusan H = 0.062 and Tebo H = 0.0756) was lower than that of the populations of D. draco in Sepintun Secondary Forest (H = 0.0969). This is caused by the habit of indigenous tribes (Anak Dalam Tribe, Talang Mamak Tribe and Melayu Tua Tribe) who always cut down male individuals of D. draco. According to the indigenous tribe, D. draco male is considered useless, since it does not produce fruits. The reduced or absence of male individuals lead to low probability of sexual reproduction of D. draco females, so that they will reproduce asexually (apomixis) (Asra 2012). This does not occur in Sepintun Secondary Forest because people in the Sepintun do not cut down male individuals. Based on interviews with the owner of the jernang population in Mandiangin, we discovered that the D. draco population in Mandiangin originally came from seeds or plants collected from Sepintun. As comparison, the populations of D. draco from Sepintun had the highest genetic diversity while the lowest genetic diversity was recorded in the populations of D. draco from Mandiangin. This is probably due to the selection of seeds from single or few parents which leads to a more uniform seeds. Another factor that causes the low genetic diversity in Mandiangin population is the limited number of individuals in the population. The heterozygosity calculation of the total population (HT) was equal to 0.2571 (Table 3). It seems that there was a very large genetic variation between the D. draco populations in Bengayoan, Nunusan, Tebo, Mandiangin and Sepintun. The heterozygosity of the total population

(HT) of D. draco genetic variation was 72.6% between populations and 27.4% among the populations. Table 3. The analysis of D. draco’s genetic diversity of 43 individuals (D. draco) using ISSR markers and the gene flow program (POPGENE Program 3.20) Samples

HT

HS

DST

GST

NM

43

0.2571

0.0704

0.1867

0.7262

0.1885

Note: HT HS DST GST NM

: The total population heterozygosity (HS + DST) : The value of heterozygosity in the population : The value of heterozygosity between populations : Genetic differentiation between populations : The flow of genes (gene flow)

Table 6 shows that the value of heterozygosity within the population (HS=0.0704) was smaller than the value of heterozygosity between populations (DST = 0.1867). This result is contrary to the popular opinion of Nybom and Bartish (2000) which states that outcrossing species have the lowest genetic diversities between populations. Besides outcrossing, D. draco also reproduces by apomixis (Asra 2012). Apomixis will produce individuals similar to their parents. That means that within population they will produce lower genetic diversities and between populations they will produce higher genetic diversities. Geographical isolation is also a factor that probably causes high genetic diversity between populations. The geographical distance between the five populations of D. draco (several kilometers) prevents cross pollination with individuals in the other populations. Hamrick and Godt


ASRA et al.– Genetic diversityof Daemonorops draco

(1996) state that the combination of the breeding systems and geographic distance causes low genetic variation within a population, however the genetic variation between our populations was high. The coefficient of genetic differentiation (GST) on D. draco was equal to 0.7262. That number is higher than the standard genetic differentiation number proposed by Nybom and Bartish (2000) which is equal to 0.23 (for an outcrossing breeding system) and 0.19 (for endemic plants). Geographical isolation and apomixis are the major factors that have caused the high genetic differentiation in D. draco. The geographical isolation has inhibited gene flow. This condition was proved by the low number of NM (0.1885). Fischer and Matthies (1998) states that the greater geographical isolation is, the less gene flow there will be. Cluster analysis was used to calculate the genetic distances between the 43 individuals (Figure 3). The dendrogram shows the individuals grouping according to their genetic similarities. The grouping by genetic similarities also demonstrates the genetic differentiation among D. draco populations.

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separating them from each other. Group C was divided into two subgroups: subgroup Tebo and subgroup Sepintun and Mandiangin. We learned that the origin of the Mandiangin population was the relocation of a portion of the Sepintun population. In other words, Sepintun’s population is the ancestor of the entire Mandiangin’s population. This was proven with dendrogram which shows that the Sepintun and Mandiangin populations were related and contained within the same group separated by a small genetic distance of only 0.14.

CONCLUSION Five of the15 ISSR primers showed clear and reproducible bands. Genetic diversity of the D. draco populations in the conservation area of Bukit Tigapuluh National Park (BTNP) (Bengayoan H= 0.0806, Nunusan H= 0.062 and Tebo H= 0.0756) was lower than that of the Sepintun Secondary Forest (H=0.0969). Genetic diversity of the D. draco plantation (Mandiangin H=0.0369) was lower than that of the natural population (BTNP and Sepintun Secondary Forest). The heterozygosity within populations (HS=0.0704) was smaller than that between populations (DST=0.1867). The cluster analysis program of 43 individuals of D. draco found that there were three similar groups: group A consisted of 8 individuals from the Bengayoan population, group B 9 individuals from the Nunusan population and group C three populations; the Tebo (10), the Sepintun (8), and the Mandiangin (8) individuals. The genetic similarities among all populations varied between 0.07-0.93.

ACKNOWLEDGEMENTS We would like to express our gratitude to the Bukit Tigapuluh National Park (BTNP) Rengat, for permission to use the BTNP’s area as a major base for this research and their help in the field, and to the Frankfurt Zoological Society (FZS) Jambi for facilitating the research in Tebo’s BTNP. We also thank our field guides in Rantau Langsat (Rengat), Tebo, Mandiangin and Sepintun, Riau, Indonesia. Figure 3. The results of the dendrogram’s cluster analysis of genetic distance between individuals from the 5 populations using the ISSR markers.

The results of the cluster analysis program using Pastversion 32 on the 43 D. draco individuals show that they were divided into three similar groups. Group A consisted of 8 individuals from the Bengayoan population, group B 9 individuals from the Nunusan population, and group C three populations; Tebo, Sepintun and Mandiangin. According to the similarity coefficient, the genetic similarities among all populations varied between 0.07 and 0.93. The genetic similarity between groups A, B, and C was 0.07. The differences or dissimilarities between the groups correlate with the geographical distances

REFERENCES Asra R. 2012. Pollination System and Genetic Diversity of Jernang (Daemonorops draco (Willd.) Blume). [Ph.D. Dissertation], Andalas University, Padang. Bensky D, Gamble A. 1993. Chinese Herbal Medicine. Materia Medica. China, Beijing. del Castillo C, Winkel T, Mahy G, Bizoux JP. 2007. Genetic structure of quinoa (Chenopodium quinoa Willd.) from the Bolivian altiplano as revealed by RAPD markers. Genet Resour Crop Evol 54: 897-905. Doyle JJ, Doyle JL. 1987. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull 19: 11-15. Fang DQ, Roose ML. 1997. Identification of closely related citrus cultivars with inter simple sequence repeat markers. Theor Appl Genet 95: 408-417. Fischer M, Matthies D. 1998. RAPD variation in relation to population size and plant performance in the rare Gentianella germanica. Amer J Bot 86: 811-819.


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Godwin ID, Aitken EAB, Smith LW. 1997. Application of inter simple sequence repeat (ISSR) markers to plant genetics. Electrophoresis 18: 1524-1528 Hamrick JL, Godt MJW. 1990. Allozyme diversity in plant species. In: Brown AHD, Clegg MT, Kahler AL, Weir BS (eds). Plant Population Genetics, Breeding, and Genetic Resources. Sinauer. Sunderland, MA. Hamrick JL, Godt MJW. 1996. Effects of life history traits on genetic diversity in plant species. Phil Trans R Soc London Ser B Biol Sci 351: 1291-1298. Klug WS, Cummings MP, Spencer C, Spencer CA, Palladino MA. 2012. Concept of Genetics. 10th ed. Pearson Education Inc., California. Lewontin RC. 1972. Testing the theory of natural selection. Nature 236: 181-182. Nei M. 1978. The theory of genetic distance and evolution of human races. Jpn J Hum Genet 23: 341-369. Nybom H, Bartish VI. 2000. Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants. Perspect Pl Ecol Evol Syst 3 (2): 93-114. Purwanto Y, Polosakan R, Susiarti S, Walujo EB. 2005. Extractivism of Jernang (Daemonorops spp.) and its develompental possibilities: Case study in Jambi, Sumatra, Indonesia. Research Center for Biology-IIS, Bogor. [Indonesian]

Qian W, Ge S, Hong DY. 2001. Genetic variation within and among populations of a wild rice Oryza granulata from China detected by RAPD and ISSR markers. Theor Appl Genet 102: 440-449. Ramesha BT, Ravikanth G, Rao MN, Ganeshaiah KN,ShaankerR. 2007. Genetic structure of the rattan Calamus thwaitesii in core, buffer and peripheral regions of three protected areas in central Western Ghats, India: do protected areas serve as refugia for genetic resources of economically important plants? J Genet 86 (1): 9-18. Rossetto M, Jezierski G, Hopper SD, Dixon KW. 1999. Conservation genetics and clonality in two critically endangered eucalypts from the highly endemic south-western Australian. Biol Conserv 88: 321-331 Rustiami H, Setyowati FM, Kartawinata K. 2004. Taxonomy and uses of Daemonorops draco (Willd.) Blume. J Trop Ethnobiol 1 (2): 65-75. Thomson GE. 2007. The Health Benefits of Traditional Chinese Plant Medicines: Weighing the Scientific Evidence. Rural Industries Research and Development Corporation. Australian Government. Witono JR, Kondo K. 2006. Genetic analysis of some species of Pinanga (Palmae) by using ISSR markers. Berita Biologi 8 (1): 19-26. Yeh FC, Yang RC, Boyle TBJ, Ye ZH, Mao JX. 1997. POPGENE, the user-friendly shareware for population genetic analysis. Molecular Biology and Biotechnology Centre, University of Alberta, Canada. Younis RAA, Ismail OM, Soliman SS. 2008. Identification of sex-specific DNA markers for date palm (Phoenix dactylifera L.) using RAPD and ISSR techniques. Res J Agric Biol Sci 4: 287-184.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 115-130

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150202

Diversity of coprophilous species of Panaeolus (Psathyrellaceae, Agaricales) from Punjab, India AMANDEEP KAUR1,♥, N.S. ATRI2, MUNRUCHI KAUR2 1

Desh Bhagat College of Education, Bardwal-Dhuri-148024, Punjab, India. Tel.: +91-98152-49537; Fax.: +0175-304-6265; ♥ email:_amandeepbotany75@gmail.com. 2 Department of Botany, Punjabi University, Patiala-147002, Punjab, India. Manuscript received: 31 July 2014. Revision accepted: 1 September 2014.

ABSTRACT Kaur A, Atri NS, Kaur M. 2014. Diversity of coprophilous species of Panaeolus (Psathyrellaceae, Agaricales) from Punjab, India. Biodiversitas 15: 115-130. An account of 16 Panaeolus species collected from a variety of coprophilous habitats of Punjab state in India is described and discussed. Out of these, P. alcidis, P. castaneifolius, P. papilionaceus var. parvisporus, P. tropicalis and P. venezolanus are new records for India while P. acuminatus, P. antillarum, P. ater, P. solidipes, and P. sphinctrinus are new reports for north India. Panaeolus subbalteatus and P. cyanescens are new records for Punjab state. A key to the taxa explored is also provided. Key words: Dung, epithelial pileus cuticle, systematics, taxonomy.

INTRODUCTION The genus Panaeolus (Fr.) Quél., belonging to the family Psathyrellaceae Readhead, Vilgalys & Hopple, is characterized by its usually coprophilous habitat, bluing context, epithelial pileipellis, metulloidal chrysocystidia and spores which do not fade in concentrated sulphuric acid. The members of the closely related genus Psathyrella are usually found growing on wood or lignin-enriched soils, have brittle white stipe and their basidiospores loose color in concentrated sulphuric acid. The gills of Panaeolus do not deliquesce as do those of the related genera Coprinopsis P. Karst., Coprinellus P. Karst. and Parasola Redhead, Vilgalys & Hopple. The genus Panaeolina Maire is distinguished by having ornamented spores and dark brown gills, in comparison to smooth basidiospores and mottled grayish-black gills in Panaeolus. Kirk et al. (2008) recognized 15 species under this genus. However, MycoBank (www.mycobank.org) documents 134 associated records of the genus till July 31, 2014. Panaeolus species are saprotrophic in habitat and most of the species grow solitary, scattered or in groups on dung and on soil (Singer 1986; Pegler 1986). From India, so far 27 species are reported by various workers (Bose 1920; Pathak and Ghosh 1962; Ghosh et al. 1967; Sathe and Sasangan 1977; Sarbhoy and Daniel 1981; Natarajan and Raaman 1983; Bhide et al. 1987; Abraham 1991; Dhancholia et al. 1991; Lakhanpal 1993, 1995; Bhavani Devi 1995; Patil et al. 1995; Vrinda et al.1999; Manimohan et al. 2007; Kaur et al.2013, 2014). Here we present the results of a preliminary study of coprophilous Panaeolus as it occurs in the state of Punjab.

MATERIALS AND METHODS Study area The state of Punjab is located in the north-western part of India covering an area of 50,362 sq. km. which constitutes 1.57% of the total geographical area of the country. It lies between 29º32' to 32º32'N latitude and 73º55' to 76º70'E longitude. Its average elevation is about 300 m from the sea level. Climatically, Punjab has four major seasons-summers, monsoon, winter and autumn season. The amount of rainfall ranges between 250 mm to 1000 mm. Most of the annual rainfall is experienced during the arrival of southwest monsoon in the region. About 7080% of the total rainfall is received during July, August and September and the rest during the winter months. The mean monthly temperature is more than 20˚C. It is primarily an agrarian state having diverse flora and fauna. Various domesticated and wild herbivorous animals are found on the grazing lands of the state. Of the total livestock, about 90% are cattle and buffaloes and the rest are sheep, goats, camels and other animals which are domesticated for agriculture, dairy, transportation and other purposes. Collection, preservation and observation Conventional morphology based mycological techniques were used in the study (Singer 1986; Pegler 1977, 1986; Atri et al. 2005). The color terminology used for macroscopic description is that of Kornerup and Wanscher (1978). The specimens were preserved according to the techniques given by Smith (1949) and Atri and Saini (2000). The drawings of microscopic details were made with the aid of camera lucida under an oil immersion lens. All the collections examined have been deposited in the


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Herbarium of Botany Department, Punjabi University, Patiala (Punjab), India (PUN). During the present investigation, authentic names, basionym and synonyms of the investigated taxa are as per the latest version of Dictionary of Fungi (Kirk et al. 2008) and the information available on MycoBank (www.mycobank.org).

RESULTS AND DISCUSSION Taxonomy Panaeolus (Fr.) Quél. in Mém. Soc. Émul. Montbéliard 5: 151, 1872. Basionym. Agaricus subgen. Panaeolus Fr. in Summa Veg. Scand. 2: 297, 1849. Synonyms. Campanularius Roussel, 1806. Coprinarius Fr. in Syst. Mycol. 1: 11, 300, 1821. Anellaria P. Karst. in Bidr. Känn. Finl. Nat. Folk 32: 517, 1879. Chalymmota P. Karst. in Bidr. Känn. Finl. Nat. Folk 32: 518, 1879. Copelandia Bres. in Hedwigia 53: 51, 1912. Type species. Panaeolus papilionaceus (Bull.) Quél. (1872). Key to the investigated coprophilous taxa of Panaeolus 1 Chrysocystidia present; caulocystidia present or absent .......... 1′ Chrysocystidia absent; caulocystidia present ....…………..

2 9

2 Caulocystidia present ……………………………………... 2′ Caulocystidia absent; pileocystidia present; clamp connections present …………………....................…..…...

3

3 Clamp connections present; pileocystidia absent .......... 3′ Clamp connections absent; pileocystidia present or absent ........ ………………….....………………………………....

4

4 Stipe solid at maturity, stout ……….........………….…… 4′ Stipe hollow at maturity, thin ……………………...........

5 6

5

Pileus plano-convex, umbonate, surface smooth; stipe white, unchanging; chrysocystidia with constricted apex; basidiospores 12–15.6×10–11 µm……….........P. solidipes 5′ Pileus convex, exumbonate, surface aerolate, having angular scales; stipe pale, bruising brown; chryso-cystidia with tapered pedicellate base; basidiospores 13.6– 20.4×10–13.6 µm ……………....................... P. antillarum 6

Pileus 1.4–1.5 cm broad, umbonate; basidia 4-spored; basidiospores 10–14×7–9.8 (11) µm, germ pore oblique to straight………………………..................………….P. ater 6′ Pileus 2.5–4 cm broad, exumbonate; basidia mostly 2spored, very rarely 4-spored; basidiospores 9–12×7–10 µm ………………………………………….P. tropicalis 7

Pileus convex, exumbonate, pileal margin appendiculate, with brownish gray marginal band; pileo-cystidia present; basidia 4-spored; basidiospores 12–14.5×8.5–10.2 µm, stipe diverse colored …….. P. africanus var. diversistipus 7′ Pileus campanulate, umbonate, margin non-appendiculate; pileocystidia absent; basidia mostly 2-spored, very rarely 4-spored; basidiospores 13.6–17×10–12 µm ...................... ............................... ................................... P. lepus-stercus 8

Pileus surface with irregular angular cracks, greenish white; basidiospores 12–14.4 (15.3)×7.6–10 µm, verrucose ……………………………….. P. castaneifolius

8

7

8′ Pileus surface with horizontal cracks, pale colored with ashy gray, brownish gray or bluish gray shades; basidiospores 11.4–16.4×8.5–12 µm, smooth.....................P. cyanescens 9 Stipe annulate; pileus umbonate .. …………………........... 10 9′ Stipe without annulus; pileus umbonate or not ...………... 11 10 Carpophores yellowish brown; pileus and stipe flesh staining bluish when bruised; stipe equal in diameter throughout, hollow; annulus median in position…P. cyanoannulatus 10′ Carpophores orange white to orange gray; stipe staining reddish when bruised, obclavate, solid; annulus superior ……………………………………. ........... P. venezolanus 11 Pileus umbonate ...………………...........……...…………... 12 11′ Pileus exumbonate …….................……...……………........ 14 12 Pileus and stipe surface creamish buff; pileal margin splitting at maturity; cuticle fully peeling; basidio-spores large, (14.3) 15.7–18.5×9.2–11.4 µm……..…...P. alcidis 12′ Pileus and stipe surface with reddish shades; pileal margin not splitting at maturity………………………………… .... 13 13 Pileus 1.8–3.2 cm broad, conico-convex to convex, with prominent marginal band; stipe 0.2–0.4 cm broad, pruinose; basidiospores 11.8–14.4 (15.3)×7–9.3 (10) µm ……………………………………………. P. subbalteatus 13′ Pileus 1.7–2 cm broad, campanulate to broadly conical, marginal band absent; stipe 0.2 cm broad, pruinose near the apex, smooth below; basidiospores 11.4–15×7.8–11 µm…………………………………………P. acuminatus 14 Pileal margin appendiculate; basidiospores 13–17×8.5– 11.5 µm, limoniform-hexagonal; pileocystidia present ...... ……………………………………............ P. sphinctrinus 14′ Pileal margin non-appendiculate…………..…………… .... 15 15 Pileus surface yellowish white to grayish white, smooth; margin splitting at maturity; taste and odor not distinctive; stipe surface yellowish white, bruising pinkish brown; clamp connections present; basidiospores 13.6–17×8.5–12 (12.7) µm……….……. P. papilionaceus var. parvisporus 15′ Pileus surface yellowish, with orange scales; margin not splitting at maturity; taste mild; odor farinaceous; stipe surface yellowish, bruising blackish gray; clamp connections absent; basidiospores 12.8–15.5×8.5–10 µm ........................................ P. speciosus var. pilocystidiosus

Panaeolus solidipes (Peck) Sacc. in Syll. Fung. 5: 1123, 1887. Figure 1. Basionym. Agaricus solidipes Peck in Ann. Rep. New York St. Mus. Nat. Hist. 2: 101, 1872. Synonym. Campanularius solidipes (Peck) Murrill in Mycologia 10 (1): 31, 1918. Carpophores 12 cm in height. Pileus 5.5 cm broad, plano-convex; broadly umbonate; surface white (2A1), yellowish white (2A2) at umbo, dry, delicate, white (2A1), smooth; pileal veil absent; margin regular, splitting at maturity, non-striate, non-appendiculate; cuticle fully peeling; flesh thin, white, unchanging; taste and odor mild. Lamellae adnate, unequal, 4-sized, subdistant, broad, up to 0.6 cm broad, fragile, grayish black, unchanging; gill edges smooth. Stipe central, 11.6 cm long, 0.7 cm broad, cylindrical, equal, longitudinally twisted, solid, surface white (2A1), unchanging, smooth, exannulate. Basidiospores 12–15.6×10–11 µm (Q = 1.3), lenticular, limoniform in face view, ellipsoidal in side view, apically truncated by a broad, central germ pore, thick-walled,


KAUR et al. – Panaeolus from Punjab, India

smooth, rusty brown, not bleaching in concentrated H2SO4. Basidia 17–23×8.5–13 µm, clavato-cylindrical, 2-, 4spored, thin-walled, hyaline; sterigmata 2.8-3.6 µm long. Gill edges sterile. Cheilocystidia 14–27×4–9 µm, abundant, polymorphic, clavate to sublageniform, thin-walled, hyaline, densely granular at the apices. Pleurocystidia chrysocystidioid, 21–47×11.4–17 µm, abundant, metulloidal, ventricose-fusoid, constricted at the apex, thinwalled, granular throughout. Pileus cuticle cellular epithelium, cellular elements 20–34×24–45.5 µm, globose, subglobose to piriform, thin-walled, hyaline; pileocystidia absent; pileus context homoiomerous, made up of interwoven 7–15.6 µm broad hyphae. Hymenophoral trama regular, composed of parallel, thin-walled, hyaline 3–14 µm broad hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle hyphal with scattered groups of caulocystidia; stipe context made up of thin-walled, hyaline, 8.5–30 µm broad hyphae; caulocystidia 17–31×5–8.5 µm, cylindrical to clavate, thin-walled, hyaline. Clamp connections present in stipe context hyphae. Material examined. India, Punjab, Sangrur, Upoki, 231 m asl., solitary on horse dung, 4 September 2009, Amandeep Kaur, PUN 4034. Discussion. The above examined collection matches well with the description of P. solidipes (Arora 1986). It is characterized by medium sized basidioma, white to yellowish white pileus, solid stipe, absence of veil and lenticular spores. P. semiovatus which is closely related can be separated by its hollow annulate stipe and elongateelliptic basidiospores. Arora (1986) reported this species

Figure 1. Panaeolus solidipes. A. Carpophore; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Chrysocystidia; F. Pileal elements; G. Caulocystidia.

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from California and Arizona where it fruit on horse dung and on manure. Arora considers it as the only nonhallucinogenic Panaeolus worth eating while Hard (1908) opined it as one of the best of mushrooms to eat. Miller (1968) reported it from Alaska, Yukon and Canada where it is found growing solitary on horse dung. The only previous record of this species from India is that of Bhavani Devi (1995) from Trivandrum, Kerala state. Our collection therefore represents the first record of the species from north India. Panaeolus antillarum (Fr.) Dennis in Kew Bull. 15 (1): 124, 1961. Figures 2 and 3. Basionym. Agaricus antillarum Fr. in Elench. Fung. 1: 42, 1828. Synonyms. Psilocybe antillarum (Fr.) Sacc. in Syll. Fung. 5: 1052, 1887. Anellaria antillarum (Fr.) Hlavácek, 1997. Carpophore 9.2 cm in height. Pileus 2.8 cm broad, 1.7 cm high, convex; surface pale (2A2) to buff with light brown (6D8) shades, dry, cracked, aerolate, squamose, nonstriate; pileal veil scaly, scales large, angular, appressed fibrillose, covering the entire pileus surface; apex plane, dark brown (6F7), margin regular, splitting, non-striate, non-appendiculate; cuticle fully peeling; flesh thin, 0.1 cm thick, pale, unchanging; taste and odor mild. Lamellae adnate, unequal, 2-sized, crowded, moderately broad, up to 0.6 cm broad, fragile, grayish-black. Spore print grayish black. Stipe 9 cm long, 0.45 cm broad, cylindrical, with subbulbous base, solid, dusted with grayish-black basidiospores on the upper half, surface pale (2A2), changing brownish towards the base when handled, fibrillose, exannulate. Basidiospores 13.6–20.4×10–13.6 μm (Q =1.44), limoniform-subhexagonal in face view, ovoid to ellipsoidal in side view, with broader base, acute apex, truncated with a central germ pore, thick-walled, smooth, blackish brown, not bleaching in concentrated H2SO4. Basidia 10–20×7– 13.5 μm, inflated clavate, 4-spored, thin-walled, hyaline; sterigmata up to 3.6 μm long. Gill edges sterile. Cheilocystidia 14–18.5×8.5–10 μm, abundant, polymorphic, clavate, cylindrical or lageniform, with round apex, thin-walled, hyaline. Pleurocystidia chrysocystidioid, 25–57×7–13 μm, abundant, polymorphic, inflated clavate, elongate ovoid, lageniform or ventricose-fusoid, with long tapering base, thin-walled, hyaline but having a single irregular amorphous refractive body which becomes pale golden in 10% KOH. Pileus cuticle a cellular epithelium; cells 15.6–37×11.4–18.5 μm in size, subglobose or piriform, thin-walled, hyaline; pileocystidia absent; pileus context homoiomerous, made up of thin-walled, 3–11.4 μm broad hyphae. Hymenophoral trama regular, composed of parallel, thin-walled 3–7 μm broad hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle hyphal, with caulocystidia scattered in tufts; stipe context made up of longitudinally running cylindrical thin-walled 2.8–18.5 μm broad hyphae; caulocystidia 18.7–30.6×5–8.5 μm, cylindrical to clavate, with round apex, thin-walled, hyaline. Clamp connections present throughout.


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A

B

C

D

Figure 2. Panaeolus antillarum. A. Carpophore growing in natural habitat; B. Aerolatepileal surface and stipe changing brownish towards the base when handled; C. Basidiospores; D. Chrysocystidium. Bars C-D = 20 µm.

Figure 3. Panaeolus antillarum. A. Carpophore; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Chrysocystidia; F. Pileus cuticle elements; G. Caulocystidia.

Material examined. India, Punjab, Sangrur, Ratolan, 231 m asl., growing solitary on cattle dung, 28 September 2008, Amandeep Kaur, PUN 4225. Discussion. Panaeolus antillarum is recognized by medium sized basidiomata, whitish pileus with angular scales, solid exannulate stipe, subhexagonal spores with central germ pore and prominent pedicellate chrysocystidia with an irregular amorphous refractive body (Pegler 1977; Watling and Gregory 1987; Stamets 1996; Reid and Eicker 1999). Pegler (1977) reported this species growing on cow dung in Kenya; on elephant and buffalo dung in Uganda and amongst grasses in open pasture in Tanzania. Watling and Gregory (1987) reported it growing in grassy places or on freshly manured soil from British Isles. Zhishu et al. (1993) reported it growing gregariously on cow dung from China’s Guangdong Province. Stamets (1996) reported it growing gregariously in subcespitose groups during rainy season in north and south America. According to Reid and Eicker (1999), this species is able to grow on a wide range of dung of herbivorous mammals including cattle, horses, buffaloes, elephants and rhinoceros. They also observed it growing on pile of stable manure and in open pasture in South Africa. Hausknecht and Krisai (2003) reported it growing on horse manure heaps from Australia. Doveri (2010) collected the species growing on cattle dung from Italy. Watling and Richardson (2010) recorded it growing on cattle and horse dung from East Falkland. They documented it as a widespread tropical to subtropical coprophilous species. From India, the species was earlier reported growing on elephant dung from Tamil Nadu (Natarajan and Raaman 1983) and Kerala (Manimohan et al. 2007). The present collection from Punjab represents the first report of this species from north India. Panaeolus ater (J.E. Lange) Kühner & Romagn. in Doc. Mycol. 16 (61): 46, 1985. Figures 4 and 5. Basionym. Panaeolus fimicola var. ater J.E. Lange in Fl. Agaric. Danic. 4: 6, 1940. Carpophores 5.7–8.8 cm in height. Pileus 1.4–1.5 cm broad, 0.6-0.8 cm high, convex to applanate; umbonate, umbo short, yellowish; surface whitish (2A1) to pale (2A2) with grayish brown (6E3) shades, hygrophanous, changing to pale color, smooth; margin regular, not splitting at maturity, non-striate, non-appendiculate, sometimes reflexed at maturity; cuticle not peeling; flesh thin, whitish, unchanging, non-deliquescent; taste and odor mild. Lamellae adnate, unequal, 3-sized, subdistant, narrow, 0.15–0.2 cm broad, fragile, grayish-black; gill edges smooth. Spore print black. Stipe 5.5–8.7 cm long, 0.15–0.2 cm broad, cylindrical, equal in diameter throughout, solid when young, hollow at maturity, surface whitish (2A1), changing to grayish brown on bruising, pruinose, shiny; annulus absent. Basidiospores 10–14×7–9.8 (11) µm (Q = 1.42), lenticular, limoniform-subhexagonal in face view, ellipsoidal in side view, with oblique to straight, yellowish germ pore, thick-walled, smooth, reddish brown to blackish brown, not bleaching in concentrated H2SO4. Basidia 17– 22.7×8.5–11.5 µm, clavate, 4-spored, thin-walled, granular; sterigmata 2.8–4.3 µm long. Gill edges sterile.


KAUR et al. – Panaeolus from Punjab, India

Cheilocystidia 22.7–27×5.7–10 µm, abundant, polymorphic, cylindrical, clavate, sublageniform to fusoid, thin-walled, densely granular at apex. Pleurocystidia chrysocystidioid, 24–53×11.4–14 µm, abundant, metulloidal, ventricose-fusoid, with blunt, tubular to mucronate tips, thick-walled, granular, golden brown, some with apical encrustations. Pileus cuticle a cellular epithelium; cells 14–36×14–26 µm, subglobose, ellipsoidal, clavate to piriform, thin-walled, hyaline; pileocystidia absent; pileus context homoiomerous, made up of horizontally tangled, septate, thin walled 11.4–21.4 µm broad hyphae. Hymenophoral trama regular, composed of thin-walled, 8.5–14 µm broad hyaline hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle hyphal, with caulocystidia scattered in tufts on the surface and in between the context tissue; context made up of cylindrical, thin-walled 8.5–24 µm broad hyphae; caulocystidia 25–50×4.4–11.4 µm, abundant, polymorphic like cheilocystidia, cylindrical, clavate, lageniform or fusoid, thin-walled, with rounded to distinctly capitate granular tips. Clamp connections present throughout. Materials examined. India, Punjab, Fatehgarh Sahib, Nogwaan, 228 m asl., scattered on cattle dung, 21 August 2009, Amandeep Kaur, PUN 4032; Hoshiarpur, Chak Sadhu, 295 m asl., in groups on buffalo dung, 22 July 2011, Narinderjit Kaur, PUN 4704. Discussion. The above description matches closely with P. ater (Watling and Gregory 1987; Stamets 1996). The species is characterized by convex, pale to grayish brown, slightly umbonate pileus, pruinose stipe, presence of chrysocystidia and limoniform spores. Panaeolus fimicola Fr. mainly differs by the lack of chrysocystidia (Watling

A

B

C

D

Figure 4. Panaeolus ater. A. Carpophore growing in a natural habitat; B. Basidiospores; C. Cheilocystidia; D. Chrysocystidium. Bars B-D = 20 µm.

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and Gregory 1987). This species is reported to grow in grassy places in British Isles (Watling and Gregory 1987) and in well fertilized lawns or on dung in America, Africa and Europe (Stamets 1996). Except for the record by Bhavani Devi (1995) from Kerala, no other reports exist for this species in India. The present collection therefore seems significant and forms the first record for north India. Panaeolus tropicalis Oláh in Rev. Mycol. 4: 289, 1969. Figures 6 and 7. Basionym. Copelandia tropicalis (Oláh) Singer & R.A. Weeks in Lloydia 42 (5): 472, 1979. Carpophores 6.5–12.5 cm in height. Pileus 2.5–4 cm broad, 1.5-1.8 cm high, convex to applanate; surface pale cream with bluish gray tinge, dry, smooth; pileal veil absent; margin regular, not splitting at maturity, nonstriate; cuticle fully peeling; flesh thin, bluing when handled, non-deliquescent; taste and odor not distinctive. Lamellae adnate to recurrent, unequal, 3-sized, subdistant, moderately broad, up to 0.25 cm broad, fragile, bluish gray; gill edges smooth. Stipe central to slightly eccentric, 6.4– 12.4 cm long, 0.2–0.4 cm broad, tubular, equal in diameter throughout, solid, surface pale cream, changing to bluish gray on bruising, pruinose, exannulate.

Figure 5. Panaeolus ater. A. Carpophore; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Chrysocystidia; F. Pileal elements; G. Caulocystidia.


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Basidiospores 9–12×7–10 µm (Q = 1.23), lenticular, limoniform in face view, broadly ellipsoidal in side view, slightly angular at the centre, with acute base and a truncate germ pore at the apex, thick-walled, smooth, blackish brown, not bleaching in concentrated H2SO4. Basidia 12.8– 21×7–11.4 µm, clavate, 2-, 4-spored, mostly 2-spored, thinwalled, hyaline; sterigmata 2–3.6 µm long. Gill edges sterile. Cheilocystidia 15.5–25.5×5.5–8.5 µm, abundant, polymorphic, cylindrical, clavate or lageniform, thinwalled, hyaline to granular, some with subcapitate densely granular tips. Pleurocystidia chrysocystidioid, 31–54×8–17 µm, metulloidal, ventricose-fusoid, thick walled, granular, golden brown, reddish brown in NH4OH, some with apical encrustations. Pileus cuticle a cellular epithelium, cells 21– 30×11–35.5 µ m, globose, subglobose or piriform, thinwalled, hyaline; pileocystidia absent; pileus context made

A

B

Figure 6. Panaeolus tropicalis. A. Basidia; B. Chrysocystidium and spores. Bars A-B = 20 µm.

Figure 7. Panaeolus tropicalis. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Chrysocystidia; F. Pileal elements; G. Caulocystidia.

up of interwoven 5.7–20 µm broad hyphae. Hymenophoral trama regular, composed of thin-walled 5.7–18.5 µm broad hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle hyphal, with caulocystidia present in groups; context hyphae interwoven, thin-walled, hyaline 2.8-25.6 µm broad; caulocystidia 17–37×5.7–7.7 µm, cylindrical, clavate or lageniform, thin-walled, hyaline. Clamp connections present in the stipe context hyphae. Materials examined. India, Punjab, Patiala, Nainakut, 251 m asl., in groups on mixed cattle dung, 16 June 2008, Amandeep Kaur, PUN 4076; Patiala, Bhunerheri, 251 m asl., in groups on mixed cattle dung, 16 June 2008, Amandeep Kaur, PUN 4346; Hoshiarpur, Kot Fatuhi, 295 m asl., solitary on mixed cattle dung among grassy litter, 18 August 2011, Narinderjit Kaur, PUN 4341. Discussion. The characteristic features of the present collections are in agreement with Panaeolus tropicalis (Stamets 1996). Panaeolus cyanescens is a closely matching species but unique in having mostly 4-spored basidia, larger spores (12–16×9–10.5 µm) and presence of pileocystidia (Watling and Gregory 1987). Panaeolus tropicalis is typically dung inhabiting and reported from Hawaii, Central Africa, Cambodia (Stamets 1996) and also in Mexico, Tanzania, Florida, Japan and the Philippines (http://en.wikipedia.org/wiki/Panaeolus_tropicalis). No previous report of this species exists in India prior to this study. Panaeolus africanus var. diversistipus Amandeep Kaur, NS Atri & Munruchi Kaur in Mycosphere 4 (3): 620, 2013. Material examined. India, Punjab, Hoshiarpur, 295 m asl., Jejon Duaba, solitary on mixed cattle dung heap, 5 July 2011, Amandeep Kaur, PUN 4342. Discussion. Panaeolus africanus var. diversistipus differs from the type variety mainly in the stipe characteristics. P. africanus has a white stipe with pinkish shades and a pruinose apex (Stamets 1996). However, P. africanus var. diversistipus has pure white surface towards the stipe apex, grayish brown in the middle and light brown towards the base, moreover the whole surface is covered with white scales and also with cottony basal mycelium. Stamets (1996) reported P. africanus from Central and South Africa where it found growing on hippopotamus and elephant dung in the spring and rainy seasons. The variety is so far known only from the type locality (Amandeep et al. 2013). Panaeolus lepus-stercus Atri, M. Kaur & A. Kaurin J. New. Biol. Rep. 3 (2): 129, 2014. Material examined. India, Punjab, Pathankot, Sheep and Rabbit Breeding Farm, Dalla Dhar, 309 m asl., growing scattered on rabbit pellets, 01 September 2011, Amandeep Kaur, PUN 4340. Discussion. Panaeolus lepus-stercus is characterized by yellowish gray umbonate pileus, bisporic as well as tetrasporic basidia, large limoniform-hexagonal spores, polymorphic chrysocystidia, absence of pileocystidia, absence of clamp connections and habitat on rabbit pellets. Among the species of Panaeolus having chrysocystidia, P. tropicalis Oláh, P. ater (J.E. Lange) Kühner & Romagn.,


KAUR et al. – Panaeolus from Punjab, India

P. rubricaulis Petch, P. antillarum (Fr.) Dennis, P. cyanescens (Berk. & Br.) Sacc., P. solidipes (Peck) Sacc. and P. tirunelveliensis Natarajan and Raman are some of the superficially related ones. Panaeolus tropicalis and P. ater differs by their smaller spores while P. antillarum by its much larger spores. Panaeolus rubricaulis is distinct by the dark brown pileus with white marginal band and appendiculate margin (Pegler 1986). Panaeolus cyanescens differs in having larger carpophores, presence of pileocystidia and clamp connections, and in the absence of caulocystidia (Pegler 1986; Wartchow et al. 2010). Panaeolus solidipes differs in having large sized pure white carpophores, plano-convex pileus, longitudinally twisted stipe and in the presence of clamp connections (Arora 1986). Panaeolus tirunelveliensis can easily be separated by its exclusive 2-spored basidia, smaller spores (12.6– 14×8.4–11.2 µm) and by the terrestrial habitat. The species is so far known only from the type (Kaur et al. 2014). Panaeolus castaneifolius (Murrill) A.H. Sm. in Mycologia 40 (6): 685, 1948. Figures 8 and 9. Basionym. Psilocybe castaneifolia Murrill in Mycologia 15 (1): 17, 1923. Synonyms. Psathyrella castaneifolia (Murrill) A.H. Sm. in Mem. New York Bot. Gard. 24: 33, 1972. Panaeolina castaneifolia (Murrill) Bon. in Doc. Mycol. 9 (35): 39, 1979. Panaeolina castaneifolia (Murrill) Ew. Gerhardt in Biblioth. Bot. 147: 111, 1996. Carpophores 5.7–6.5 cm in height. Pileus 3.3–3.8 cm broad, 1.5–2 cm high, hemispherical to convex; surface greenish white (27A2) with brown (6E8) apex, dry, wrinkled, with irregularly angular cracks; pileal veil absent; margin irregular, splitting at maturity, non-striate; cuticle fully-peeling; flesh thin, pale, bluing when handled; taste and odor not distinctive. Lamellae adnate, unequal, 3-sized, subdistant, moderately broad, up to 0.4 cm broad, smooth, fragile, grayish-black; gill edges white. Spore print black. Stipe central, 5.5–6.3 cm long, 0.2–0.25 cm broad, cylindrical, slightly bulbous at the base, twisted, hollow, surface greenish white (27A2), changing to grayish brown on handling, pruinose, exannulate.

Figure 8. Panaeolus castaneifolius. Carpophores showing cracked pileus surface and stipe bruising grayish brown.

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Basidiospores 12–14.4 (15.3)×7.6–10 µm (Q=1.5), limoniform in face view, ellipsoidal in side view, with a truncate germ pore, thick-walled, finely verrucose, blackish brown, not bleaching in concentrated H2SO4. Basidia 15.3– 29×6.8–13.6 µm, clavate, 2-, 4-spored, thin-walled, granular; sterigmata 3.4–5 µm long. Gill edges sterile. Cheilocystidia 18.7–27.2×8.5–12 µm, abundant, lageniform to ventricosefusoid, thick-walled, granular, densely granular at the tips. Pleurocystidia chrysocystidioid, 35.7–52.7×15.3–22 µm, metulloidal, ventricose-fusoid, thick-walled, granular, with golden yellow apical incrustations. Pileus cuticle cellular with scattered pileocystidia; cellular elements 12–20.4×10– 23.8 µm, globose to subglobose, thin-walled, hyaline; pileocystidia 35.7–54.4×3.4–8.5 µm, cylindrical, lageniform or filiform, thin-walled, granular; context made up of interwoven 6.8–18.7 µm broad hyphae. Hymenophoral trama regular composed of thin-walled, 5–15.3 µm broad hyphae. Subhymenium pseudo-parenchymatous. Stipe cuticle hyphal with projecting hyphal elements all over the surface; projecting hyphae septate, thin-walled, hyaline, 3.4–5 µm broad; context composed of 6.8–20.4 µm broad, intermingled, cylindrical, thin-walled hyaline hyphae. Clamp connections present throughout. Materials examined. India, Punjab, Sangrur, Sikanderpura, 231 m asl., in groups on mixed cattle dung, 29 June 2011, Amandeep Kaur, PUN 4358; Patiala, Ghanaur, 251 m asl., solitary on buffalo dung, 19 July 2011, Amandeep Kaur, PUN 4357.

Figure 9. Panaeolus castaneifolius. A. Carpophore; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Chrysocystidia; F. Pileus cuticle elements; G. Pileocystidia; H. Stipe cuticle.


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Discussion. The above examined collections have been identified as P. castaneifolius. Their macroscopic and microscopic characters are in conformity with the details given by Stamets (1996) for this species. However, pleurocystidia of the Indian collections are extending well beyond the basidial layer and not so in Stamets (1996) collections. It is reported as growing scattered to gregariously in grassy areas from North and South America (Stamets 1996). The species is recorded for the first time from India. Panaeolus cyanescens (Berk. & Br.) Sacc. in Syll. Fung. 5: 1123, 1887. Figures 10 and 11. Basionym. Agaricus cyanescens Berk. & Broome in J. Linn. Soc. Bot. 11: 557, 1871. Synonym. Copelandia cyanescens (Berk. & Br.) Singer in Lilloa 22: 473, 1951. Carpophores 4.5–11 cm in height; Pileus 1.8–4.7 cm broad, 1.1–2.2 cm high, conico-convex to applanate; surface dry to moist, delicate, pale (2A2), with ash gray (1B2), brownish gray (6E2) to bluish gray (21D2) shades, yellowish gray (3D2) to yellowish brown (5E8) at the apex, wrinkled, cracked horizontally when dry; pileal veil in the form of hanging remnants along the pileal margin in some carpophores; margin regular to irregular, splitting at maturity, non-striate; cuticle not peeling to fully peeling; flesh thin, pale white, changing to bluish gray on handling; taste and odor mild. Lamellae adnate, unequal, 3-sized, subdistant, moderately broad to broad, 0.3–0.6 cm broad, fragile, grayish-black; gill edges smooth, white. Spore print black. Stipe 4.3–10.8 cm long, 0.15–0.4 cm broad, cylindrical, equal in diameter throughout, first solid then hollow, surface ash gray (1B2) to brownish gray (6E2) with bluish gray (21D2) shades, pruinose to pruinose-fibrillose, shiny; exannulate. Basidiospores 11.4–16.4×8.5–12 µm (Q=1.35), lenticular, limoniform to slightly hexagonal in face view, ellipsoidal in side view, with a truncate germ pore, thickwalled, smooth, blackish brown, not bleaching in concentrated H2SO4; apiculate, apiculus 0.7–1.4 µm long. Basidia 13.5–25.5×8.5–13.7 µm, clavate, 2-, 4-spored, thin walled, hyaline; sterigmata 1.4-3.6 µm long. Gill edges sterile. Cheilocystidia 13–40×5–13 µm, polymorphic, cylindrical, clavate, lageniform to ventricose-fusoid, thinwalled, hyaline, some densely granular at apices. Pleurocystidia chrysocystidioid, 23–68×9–24 µm, abundant, metulloidal, ventricose-fusoid, thick-walled, golden brown, occasionally with apical incrustations. Pileus cuticle an epithelium with scattered pileocystidia; cellular elements 18.7–41×11.5–51 µm, globose, subglobose, to clavate, thin-walled, hyaline; pileocystidia 30–38.3×5.7–9 µm, lageniform, ventricose-fusoid, thinwalled, hyaline; context homoiomerous, made up of interwoven, thin-walled 2.8–20.4 µm broad hyaline hyphae. Hymenophoral trama regular, composed of thinwalled, 5–27 µm broad hyphae. Subhymenium pseudoparenchymatous. Stipe context made up of longitudinally tangled, thin-walled 2–22 µm broad hyphae. Clamp connections present in stipe context hyphae and basal mycelium.

A

B

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D

E

F

Figure 10. Panaeolus cyanescens. A. Carpophores growing in natural habitat; B. Undersurface of the pileus showing grayishblack gills with white edges; C. Basidiospores; D. Cheilocystidia; E. Chrysocystidium; F. Pileus cuticle elements. Bars C-F = 20 µm.

Figure 11. Panaeolus cyanescens. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Chrysocystidia; F. Pileus cuticle elements; G. Pileocystidia.


KAUR et al. – Panaeolus from Punjab, India

Materials examined. India, Punjab, Fatehgarh Sahib, Sirhind, 228 m asl., along G.T. Road, in groups on mixed dung and humicolous soil under Eucalyptus citriodora tree, 16 September 1995, Amanjeet Kaur, PUN 2708; Fatehgarh Sahib, Sirhind, 228 m asl., in caespitose groups on cattle manure in the field of Allium sativum crop, 17 November 1995, Amanjeet Kaur, PUN 2712; Fatehgarh Sahib, Sirhind, 228 m asl., in groups on cattle dung, 17 November 1995, Amanjeet Kaur, PUN 2707; Fatehgarh Sahib, Sirhind, 228 m asl., in groups on cattle manured soil, 27 November 1995, Amanjeet Kaur, PUN 2711; Patiala, Bir Bhunerheri, 250 m asl., scattered on cattle manured soil near Parthenium grass, 07 March 1998, Amanjeet Kaur, PUN 2710; Fatehgarh Sahib, Bassi, 228 m asl., scattered on mixed dung, 14 September 1998, Amanjeet Kaur, PUN 2713; Fatehgarh, Sirhind, 228 m asl., in groups on cattle dung manured soil in Allium sativum field, 28 November 1998, Amanjeet Kaur, PUN 2709; Sangrur, Malak Majra, 251 m, gregarious on buffalo dung, 23 June 2008, Amandeep Kaur, PUN 4355; Patiala, Dakala, 251 m asl., Dashmesh Nagar, gregarious on cow dung, 25 June 2008, Amandeep Kaur, PUN 4077; Patiala, Chhat Bir, 251 m asl., in caespitose clusters on buffalo dung, 30 June 2008, Amandeep Kaur, PUN 4028; Patiala, Chhat Bir, 251 m asl., gregarious on buffalo dung, 30 June 2008, Amandeep Kaur, PUN 4078; Hoshiarpur, Simbli, 295 m asl., scattered on mixed cattle dung, 19 July 2008, Harwinder Kaur, PUN 4361; Ludhiana, 254 m asl., in groups on cattle dung, 03 September 2008, Baljit Kaur, PUN 3922; Ludhiana, Nasrali, 254 m asl., scattered in groups on mixed cattle dung, 23 July 2009, Amandeep Kaur, PUN 4079; Mohali, Bhajauli, 316m asl., scattered on cow dung heap, 21 August 2009, Amandeep Kaur, PUN 4031; Ropar, Kuraali,394 m asl., solitary on mixed cattle dung, 21 August 2009, Amandeep Kaur, PUN 4033; Sangrur, Jaatimajra, 251 m asl., gregarious on horse dung, 03 September 2009, Amandeep Kaur, PUN 4080; Patiala, Chhat Bir, 251 m asl., in groups on elephant dung, 10 July 2010, Amandeep Kaur, PUN 4353; Patiala, Chhat Bir, 251 m asl., scattered on elephant dung, 10 July 2010, Amandeep Kaur, PUN 4354; Ropar, near Haveli, 394 m asl., in groups on buffalo dung, 16 July 2010, Arpana Lamba, PUN 4296; Ropar, 394 m asl., in groups on buffalo dung, 25 July 2010,ArpanaLamba, PUN 4297. Discussion. The macro and microscopic details of the Indian collections are in conformity with the details of P. cyanescens (Stamets 1996). Pegler (1977, 1983, 1986) reported this species as Copelandia cyanescens from Kenya, Tanzania, Uganda, Trinidad and Sri Lanka. This species is distributed widely and reported from different geographical locations (Zhishu et al. 1993; Stamets 1996; Reid and Eicker 1999; Dennis 1970; Guzmán and PérezPatrica 1972; Stijve 1992; Guzmán et al. 2000; Wartchow et al. 2010). From India, different workers described it under either as Copelandia cyanescens (Bose 1920; Ghosh et al. 1967; Natarajan and Raaman 1983; Manjula 1983; Manimohan et al. 2007) or as Panaeolus cyanescens (Abraham 1991; Lakhanpal 1993). It is widely distributed in the coprophilous habitats of Punjab.

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Panaeolus cyanoannulatus Atri, M. Kaur & A. Kaurin J. New. Biol. Rep. 3 (2): 126, 2014. Material examined. India, Punjab, Hoshiarpur, Jeewanpur Jattan, 295 m asl., in a group on a mixed cow and horse dung heap in a pasture, 18 July 2008, Amandeep Kaur, PUN 4223. Discussion. Panaeolus cyanoannulatusis a bluestaining species with well developed annulus on the stipe. It can be distinguished from the other blue-staining allied Panaeolus species such as P. cyanescens (Berk. & Broome) Sacc., P. tropicalis Oláh, P. cambodginiensis Oláh & R. Heim and P. subbalteatus (Berk. & Br.) Sacc. mainly in being annulate. Panaeolus semiovatus (Fr.) Lundell & Nannf. which is also an annulate species differs in the pale cream to pale buff campanulate pileus, chrysocystidia within the hymenium and the basidiospores measuring 16–20×9–11 µm in size (Watling and Gregory 1987), in comparison to yellowish brown conical umbonate pileus, no chrysocystidia and smaller basidiospores in Panaeolus cyanoannulatus. It is not yet known outside type locality (Kaur et al. 2014). Panaeolus venezolanus Guzmán in Mycotaxon 7 (2): 221, 1978. Figures 12 and 13. Carpophores 6.7–7.9 cm in height. Pileus 2–2.3 cm broad, 1.2–1.4 cm high, campanulate; umbonate, umbo acute, brown; surface orange white (5A2) to orange gray (5B2), dry, smooth; margin regular, splitting at maturity, non-striate, non-appendiculate; cuticle half peeling; flesh thin, 0.1 cm thick, pale, unchanging; taste and odor not distinctive. Lamellae adnate, unequal, 3-sized, distant, moderately broad, up to 0.4 cm broad, fragile, grayish black; gill edges smooth, white. Stipe central, 6.4–7.7 cm long, 0.1–0.2 cm broad, cylindrical, obclavate, solid, surface orange gray (5B2), bruising reddish, pruinose; annulate, annulus superior, single, membranous, patchy. Basidiospores 12–15.3×8.5–10 µm (Q=1.47), limoniformsubhexagonal in face view, ovoid to ellipsoidal in side view, with central to slightly eccentric germ pore, thickwalled, smooth, grayish brown, not bleaching in concentrated H2SO4. Basidia 18.7–35.7×12–16 µm, clavate, 2–, 4–spored, thin-walled, hyaline; sterigmata 3.4– 6 µm long. Gill edges sterile. Cheilocystidia 19.5–32.3×5– 8.5 µm, cylindrical to clavate, thin-walled, slightly granular. Pleurocystidia absent. Pileus cuticle a cellular epithelium with scattered pileocystidia; cellular elements 12.7–25.5×12–27.2 µm, globose to subglobose, thinwalled, hyaline; pileocystidia 29–52.7×4.3–10 µm, elongated cylindrical to lageniform, thin walled, granular. Hymenophoral trama regular, composed of parallel, thinwalled, hyaline 7–10 µm broad hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle hyphal with caulocystidia scattered in clusters; caulocystidia 16– 35.7×5–7.6 µm, cylindrico-clavate or lageniform, thinwalled, granular; stipe context hyphae longitudinally running, thin-walled, hyaline 6.8–22 µm broad. Clamp connections present in stipe context hyphae. Material examined. India, Punjab, Faridkot, Panjgraean, 196 m asl., in a group on cattle dung and wheat


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straw mixture heap, 19 August 2011, Amandeep Kaur, PUN 4834. Discussion. Panaeolus venezolanus is recognized by the annulate stipe, non-bluing carpophores, large sized limoniform to ovoid basidiospores and absence of pleurocystidia. It is close to P. papilionaceus but the presence of an annulus separates it from this species. Panaeolus solidipes and P. semiovatus though possess annulus can be differentiated by their white carpophores and presence of chrysocystidia within the hymenium. Panaeolus venezolanus was reported by Guzmán (1978) growing gregariously from Venezuela and Mexico. During the present survey, it was recorded growing in a group on cattle dung and wheat straw mixture heap in midAugust for the first time from India.

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Panaeolus alcidis Moser in Mycologia 76: 551, 1984. Figures 14-15. Carpophores 5.3–8.5 cm in height. Pileus 2.1–2.5 cm broad, 1.2–1.4 cm high, campanulate to convex, umbonate; umbo broad, round, grayish yellow (2B6); surface creamish buff, bluish grey when handled, dry, cracked; margin regular, splitting at maturity, non-striate; flesh thin, bluing when exposed, non-deliquescent; cuticle fully-peeling; pileal veil absent; taste and odor not distinctive. Lamellae adnate, unequal, 3-sized, subdistant, broad, up to 0.6 cm broad, fragile, grayish-black; gill edges smooth, white. Spore print black. Stipe central, 5.1–8.3 cm long, 0.1–0.2 cm broad, tubular, slightly bulbous at the base, solid, surface creamish buff, brown when handled, bruised or with age, pruinose; annulus absent.

A

B

Figure 12. Panaeolus venezolanus. A. Carpophores growing in natural habitat; B. Carpophores showing unequal distant gills and reddish bruising on the stipe.

Figure 14. Panaeolus alcidis. A. Carpophores growing in natural habitat; B. Carpophore showing adnate, subdistant gills and bulbous stipe base.

Figure 13. Panaeolus venezolanus. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Pileal elements; F. Pileocystidia; G. Caulocystidia.

Figure 15. Panaeolus alcidis. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Pileal elements; F. Pileocystidia; G. Caulocystidia.


KAUR et al. – Panaeolus from Punjab, India

Basidiospores (14.3) 15.7–18.5×9.2–11.4 µm (Q = 1.66), ellipsoidal, truncated with a straight to slightly oblique germ pore, thick-walled, smooth, blackish brown, not bleaching in concentrated H2SO4. Basidia 20.4–34×10– 13.6 µm, clavate, 2–, 3–, 4–spored, thin-walled, hyaline; sterigmata 3.4–5 µm long. Gill edges sterile. Cheilocystidia 20.4–29×5–10 µm, abundant, polymorphic, cylindrical, clavate, lageniform or bottle-shaped, some with tapering, wavy, filiform tips, thin-walled, granular. Pleurocystidia absent. Pileus cuticle cellular with scattered pileocystidia; cellular elements 15.3–46×13.6–30.6 µm, subglobose, piriform to clavate, thin-walled, hyaline; pileocystidia 34– 56×5.0–12 µm, cylindrical, lageniform or filiform, some with incrusted capitate tips, thin-walled, granular; pileus context made up of interwoven 6.8–22 µm broad hyphae. Hymenophoral trama regular composed of 5–18.7 µm broad hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle with caulocystidia scattered in tufts; caulocystidia 17–48×6–10 µm, cylindrical, clavate or lageniform, thinwalled, hyaline; context hyphae 6.8–20.4 µm broad, longitudinally running, cylindrical, thin-walled, hyaline. Clamp connections present in the stipe context hyphae. Material examined. India, Punjab, Moga, Chak Fatehpur, 217 m asl., scattered or in caespitose groups on buffalo dung, 28 June 2011, Amandeep Kaur, PUN 4359. Discussion. Panaeolus alcidis is recognized by the absence of annulus, non-appendiculate pileal margin and the large sized ellipsoidal basidiospores. Moser (1984) reported the species growing on moose dung from Sweden, Saskatchewan and Canada and on roe deer and reindeer droppings from Sweden. It has also been reported growing on cattle dung from Italy (Doveri 2010). It is a new record for India. Panaeolus subbalteatus (Berk. & Br.) Sacc. in Syll. Fung. 5: 1124, 1887. Figures16 and 17. Basionym. Agaricus subbalteatus Berk. & Br. in Ann. Mag. Nat. Hist. 7: 378, 1861. Carpophores 5.7–12.8 cm in height; Pileus 1.8-3.2 cm broad, 1.2–1.5 cm high, conico-convex to convex; umbonate, umbo broad, brown; surface pale to reddish gray (12E2) when young, bluish gray (21F3) at maturity, finally reddish gray (12E2) with bluish gray (21F3) marginal band, smooth; pileal veil absent; margin regular, not splitting at maturity, non-striate; flesh thin, unchanging, nondeliquescent; cuticle half-peeling to fully peeling; taste and odor mild. Lamellae adnexed to adnate, unequal, 3–sized, subdistant, ventricose, moderately broad to broad (0.3–0.5 cm), fragile, grayish black; gill edges smooth. Spore print grayish black. Stipe central, 5.5–12.7 cm long, 0.2–0.4 cm broad, tubular, equal, with slightly bulbous base, solid, surface reddish gray (12E2) changing to reddish brown after bruising, solid, sometimes twisted, pruinose; annulus absent. Basidiospores 11.8–14.4 (15.3)×7–9.3 (10) µm (Q = 1.6), lenticular, limoniform in face view, elongated ellipsoidal in side view, with truncate germ pore, thickwalled, smooth, reddish brown to blackish brown. Basidia 14–35.7×7–15.4 µm, clavate, 2–and 4–spored, thin walled, granular, sterigmata 2-3.5 µm long. Gill edges sterile.

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Cheilocystidia 14–39×4–14.5 µm, crowded, lageniform, cylindrico-clavate or clavate, with round apex, thin-walled, hyaline to granular. Pleurocystidia absent. Pileus cuticle cellular with scattered pileocystidia; cellular elements 17– 37.4×12–25.5 µm, ovoid, piriform or pedicellate clavate, thin walled, hyaline; pileocystidia 17–49×3–10 µm, polymorphic, wavy, filamentous, cylindrical, lageniform or ventricose-fusoid, thin walled, granular, some with densely granular tips; pileus context hyphae thin walled, hyaline, 4– 13.6 µm broad. Hymenophoral trama regular composed of parallel, thin-walled, hyaline 5–15.3 µm broad hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle with caulocystidia present in groups; context hyphae parallel, cylindrical, thin-walled, hyaline 5–18.7 µm broad; caulocystidia 18.7–68×3.5–14 µm, similar in shape like pileocystidia. Clamp connections present throughout. Materials examined. India, Punjab, Barnala, Wazeedake, 228 m asl., in groups on buffalo dung among grasses, 31 July 2009, Amandeep Kaur, PUN 4228; Bathinda, Nandgarh, 211 m asl., scattered on buffalo dung, 01 August 2009, Amandeep Kaur, PUN 4227; Ropar, Padiala, 394 m asl., in groups on a mixed cattle dung heap, 21 August 2009, Amandeep Kaur, PUN 4229; Ropar, Kiratpur Sahib, 394 m asl., in groups on mixed cattle dung, 13 July 2012, Harwinder Kaur, PUN 4770.

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Figure 16. Panaeolus subbalteatus. A. Carpophores growing in a natural habitat; B. Basidia; C. Cheilocystidia; D. Pileus cuticle elements; E. Caulocystidia; F. Clamp connection in stipe context. Bars B-F = 10 µm.


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Figure 18. Panaeolus acuminatus. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Pileus cuticle elements; F. Pileocystidia; G. Caulocystidia. Figure 17. Panaeolus subbalteatus. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Pileus cuticle; F. Pileocystidia; G. Caulocystidia.

Discussion. The macroscopic and microscopic details of the above examined collections are in conformity with P. subbalteatus (Watling and Gregory 1987; Stamets 1996). It is characterized by conico-convex to convex, broadly umbonate, reddish gray pileus with a darker band along the margin and stipe bruising reddish brown. Panaeolus acuminatus is quite close to this species but differs by narrow stipe (less than 0.3 cm broad) and lacking belted pileal margin (Watling and Gregory 1987). In the literature it is reported to be a psilocybin mushroom (Guzmán et al. 1976; Arora 1986; Stamets 1996). It is cosmopolitan in distribution and seen on a wide variety of habitats (Allen 1994; Watling and Gregory 1987; Stamets 1996; Doveri 2010; Natarajan and Raaman 1983; Abraham 1991). The species is being reported for the first time from Punjab. Panaeolus acuminatus (Schaeff.) Quél. in Mém. Soc. Émul. Montbéliard 5: 257, 1872. Figure 18. Basionym. Agaricus acuminatus Schaeff. in Fung. Bavar. Palat. Nasc. 4: 44, 1774. Synonyms. Agaricus carbonarius Batsch in Elench. Fung. p. 69, 1783. Coprinarius acuminatus (Schaeff.) P. Kumm. in Der Führer in die Pilzkunde p. 69, 1871. Chalymmota carbonaria (Fr.) P. Karst. 1879. Dryophila carbonaria (Fr.) Quél. in Enchir. Fung. p. 70, 1886.

Carpophores 6.3–7.8 cm in height. Pileus 1.7–2 cm broad, 0.9–1.2 cm high, campanulate to broadly conical; umbonate, umbo round, dark brown (8F7); surface dark reddish brown (8E8), hygrophanous, fading to grayish brown (6E3) after some time, smooth; pileal veil absent; margin regular, not splitting at maturity, non-striate; cuticle half-peeling; flesh thin, 0.1 cm thick, pale white, unchanging, non-deliquescent; taste and odor mild. Lamellae adnexed, unequal, 3-sized, subdistant, moderately broad (up to 0.35 cm), fragile, grayish-black; gill edges smooth. Stipe 6.2–7.5 cm long, 0.2 cm broad, tubular, solid, surface reddish brown (8E8), unchanging, pruinose near the apex, smooth below, exannulate. Basidiospores 11.4–15×7.8–11 µm (Q = 1.4), lenticular, limoniform in face view, ellipsoidal in side view, slightly angular in the centre, truncated with a central germ pore, thick-walled, smooth, reddish brown in water, blackish brown in KOH (10%), not bleaching in concentrated H2SO4. Basidia 17–25.5×8.5–11.5 µm, clavate, 2–, 4– spored, thin-walled, hyaline; sterigmata 2.8–4.3 µm long. Gill edges sterile. Cheilocystidia 15.5–25.5×5.5–8.5 µm, abundant, polymorphic, cylindrical, clavate or sublageniform, thin-walled, hyaline. Pleurocystidia absent. Pileus cuticle a cellular epithelium with scattered pileocystidia; cells 13–24×13–17 µm, clavate or piriform, thin-walled, hyaline; pileocystidia 21–25.5×6.5–8.5 µm, cylindrical or sub-lageniform, thin-walled, hyaline; pileus context made up of interwoven 6–21 µm broad hyphae. Hymenophoral trama regular composed of thin-walled hyphae measuring 4.5–18.5 µm in width. Subhymenium pseudoparenchymatous. Stipe cuticle with caulocystidia


KAUR et al. – Panaeolus from Punjab, India

scattered in tufts; context hyphae longitudinally running, cylindrical, thin-walled, hyaline, 4.3–28.3 µm broad; caulocystidia 17–24×7–11.4 µm, cylindrical to inflated clavate, thin-walled, granular, densely granular towards the base. Clamp connections present in the stipe context. Material examined. India, Punjab, Bathinda, Lehra Mohabbat, 211 m asl., gregarious on mixed cattle dung in a pasture, 02 August 2009, Amandeep Kaur, PUN 4030. Discussion. The above collection matches well with the description of P. acuminatus which is characterized by campanulate, reddish brown pileus and nippled apex (Pegler 1977; Watling and Gregory 1987). Pegler (1977) reported it from Uganda, Tanzania; Watling and Gregory (1987) from Britain; Stamets (1996) from North America and Europe and Doveri (2010) from Italy. This species has been reported growing scattered on elephant dung from Kerala in South India by Vrinda et al. (1999). It is the first time record from North India. Panaeolus sphinctrinus (Fr.) Quél. in Mém. Soc. Émul. Montbéliard 5: 151, 1872. Figures 19 and 20 Basionym. Agaricus sphinctrinus Fr. in Epicr. Syst. Mycol. 235-236, 1838. Synonyms. Coprinarius campanulatus var. sphinctrinus (Fr.) Quél. in Enchir. Fung. p. 119, 1886. Panaeolus campanulatus var. sphinctrinus (Fr.) Quél. in Fl. Mycol. France p. 54, 1888. Carpophores 4.5–14.5 cm in height. Pileus 1.7–2.7 cm broad and 0.7–1.5 cm high, obtusely campanulate when young, convex to hemispherical at maturity; surface dry, delicate, buff colored with mouse gray (5E3) to bluish gray (21D2) shades; pileal veil in the form of whitish, overhanging fibrils along the margin; margin regular, splitting at maturity, non-striate, appendiculate; cuticle fully peeling; flesh thin, slightly deliquescent at maturity; taste mild; odor farinaceous. Lamellae adnexed to broadly adnate, wedge shaped, unequal, 3–sized, subdistant, moderately broad, up to 0.5 cm broad, fragile, grayishblack. Spore print black. Stipe 4.3–14.2 cm long, 0.4–0.6 cm broad, tubular, solid, surface buff to dark smoky gray, pruinose fibrillose; exannulate. Basidiospores 13–17×8.5–11.5 µm (Q = 1.5), lenticular, limoniform in face view, elongate-ellipsoidal in side view, truncated with a central germ pore, thick-walled, smooth, grayish brown in water, blackish brown in KOH, not bleaching in concentrated H2SO4. Basidia 14–25.5×10–13 µm, inflated clavate, 2–, 4–spored, thin-walled, hyaline; sterigmata short, 1.4–4.3 µm long. Gill edges sterile. Cheilocystidia 14–33×2.8–13 µm, polymorphic, vesiculose, inflated clavate or lageniform, some with subcapitate apex, thin-walled, hyaline. Pleurocystidia absent. Pileus cuticle two to three layered cellular epithelium with scattered pileocystidia; cellular elements 13–28×11.5–24 µm, globose, subglobose to piriform, thinwalled, hyaline; pileocystidia 22.7–30×6.5–8.5 m, clavate to elongated cylindric with rounded apex, thin-walled, hyaline; pileus context homoiomerous, made up of interwoven, thin-walled 2.8–28.4 µm broad hyphae. Hymenophoral trama regular, composed of thin-walled, hyaline 6–25.5 µm broad hyphae. Subhymenium

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pseudoparenchymatous. Stipe cuticle hyphal with caulocystidia present in tufts; context hyphae lie parallel, thin-walled, hyaline 4.5–25.4 µm broad; caulocystidia 21– 31×6–8.5 µm, fusoid to clavate, some with subcapitate apex, thin-walled, hyaline. Clamp connections present throughout.

A

B

C

D

Figure 19. Panaeolus sphinctrinus. A. Carpophores growing in natural habitat; B. Carpophores showing appendiculate pileal veil and grayish-black lamellae; C. Gill edge showing cheilocystidia; D. Caulocystidia. Bars C-D = 10 µm.

Figure 20. Panaeolus sphinctrinus. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Pileal elements; F. Pileocystidia; G. Caulocystidia.


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Materials examined. India, Punjab, Hoshiarpur, Mahilpur, 295 m asl., gregarious on horse dung in a pasture, 18 July 2008, Munruchi Kaur and Amandeep Kaur, PUN 4224; Bathinda, Lehra Mohabbat, 211 m asl., gregarious in caespitose groups on cow dung, 2 August 2009, Amandeep Kaur and Harwinder Kaur, PUN 4029. Discussion. Panaeolus sphinctrinus is characterized by smooth pileus with mouse gray shades and appendiculate margin of white partial veil fragments. Panaeolus campanulatus is a close species which can be differentiated by the brick red to reddish brown pileus and smaller spores. P. papilionaceus differs by whitish or buff pileus which is frequently cracked and stipe with pinkish shades towards the base (Watling and Gregory 1987). Panaeolus sphinctrinus is found throughout the world and is widely distributed in North America, South America, Europe, Iceland, North Africa, Canary Islands, Israel, Siberia, Japan (Dennis 1986). Pegler (1977) reported it from Kenya and Tanzania. Watling and Gregory (1987) reported the species growing on dung of horse, cow and sheep in fields and hill pastures from British Isles. Natarajan and Raaman (1983) reported it growing solitary on ground in the month of August from Tamil Nadu, India. The species is being documented here for the first time from North India. Panaeolus papilionaceus var. parvisporus Ew. Gerhardt in Biblioth. Bot. 147: 58, 1996. Figures 21 and 22. Carpophores 5.3–9.3 cm in height. Pileus 1.5–2.2 cm broad, 1–1.3 cm high, campanulate to convex; surface yellowish white to grayish white, sometimes with grayish black shades, smooth, delicate; pileal veil absent; margin regular, splitting at maturity, non-striate, nonappendiculate; cuticle fully peeling; flesh thin, unchanging, non-deliquescent; taste and odor not distinctive. Lamellae adnate, unequal, 3-sized, subdistant, moderately broad, up to 0.5 cm broad, fragile, grayish-black. Spore print black. Stipe central, 5.2–9 cm long, 0.2–0.3 cm broad, tubular, solid, surface yellowish white, bruising pinkish brown, pruinose, exannulate. Basidiospores 13.6–17×8.5–12 (12.7) µm (Q = 1.5), lenticular, limoniform in face view, ellipsoidal in side view, with broader centre, acute base and a broad germ pore, thick-walled, smooth, blackish brown, not bleaching in concentrated H2SO4. Basidia 18.7–32.3×12–15.3 µm, clavate, 2–, 4–spored, thin-walled, granular; sterigmata 4.36.8 µm long. Gill edges sterile. Cheilocystidia 25.5–44×5– 10 µm, abundant, polymorphic, clavate, cylindric, lageniform to even flask-shaped, some with subcapitate apex, thin-walled, granular throughout, some densely granular at the apices. Pleurocystidia absent. Pileus cuticle a cellular epithelium with scattered pileocystidia; cellular elements 15.3–29×17–25.5 µm, subglobose, ovoid or clavate, non-pedicellate, thin-walled, hyaline; pileocystidia 30.5–54.5×5–13.5 µm, polymorphic, cylindrical, lageniform or ventricose-fusoid, some with subcapitate apex, thin-walled, granular, sometimes with golden contents; pileus context homoiomerous, made up of thinwalled, hyaline 8.5–17 µm broad hyphae. Subhymenium pseudoparenchymatous. Stipe cuticle with caulocystidia

scattered on the surface; context hyphae longitudinally running, cylindrical, thin-walled, hyaline 5-18.7 µm broad; caulocystidia 20.4–42.4×5–10 µm, cylindrical or lageniform, thin-walled, hyaline. Clamp connections present throughout. Material examined. India, Punjab, Sangrur, Dugni, 231 m asl., in groups on buffalo dung among grasses along roadside, 27 June 2011, Amandeep Kaur, PUN 4360.

A

B

Figure 21. Panaeolus papilionaceus var. parvisporus. A. Carpophores growing in natural habitat; B. Carpophores showing stipe bruising pinkish brown.

Figure 22. Panaeolus papilionaceus var. parvisporus. A. Carpophores; B. Basidiospores; C. Basidia; D. Cheilocystidia; E. Pileus cuticle elements; F. Pileocystidia; G. Caulocystidia.


KAUR et al. – Panaeolus from Punjab, India

Discussion. The present collection agrees well with the description by Kuo (2007). The species is distinct by campanulate to convex yellowish white to grayish white pileus, stipe bruising pinkish brown, large basidiospores, presence of pileocystidia, and caulocystidia. Panaeolus papilionaceus var. papilionaceus differs in having appendiculate pileal margin with remnants of the partial veil. It forms a new record for India. Panaeolus speciosus var. pilocystidiosus Amandeep Kaur, NS Atri & Munruchi Kaur in Mycosphere 4 (3): 622, 2013. Material examined. India, Punjab, Barnala, Rarh, 228 m asl., scattered on cattle dung, Amandeep Kaur, PUN 4081, June 26, 2008. Discussion. Panaeolus speciosus var. pilocystidiosus differs by basidiospores 12.8–15.5×8.5–10 µm in size (Kaur et al. 2013) as compared to 14–20×10–12×8–10 µm in P. speciosus (Watling and Gregory1987). Also the clamp connections are altogether absent while pileocystidia are found present on the pileus cuticle in this variety. The clamp connections are reported to be present while pileocystidia are reported to be absent in P. speciosus (Watling and Gregory 1987). Kaur et al. (2013) documented this taxon for the first time from coprophilous habitats of India. Remarks During the study, forty four collections of Panaeolus have been critically analyzed and identified to sixteen species. It is inferred that the genus is widely distributed and occurs in a wide variety of dung types. The different dung habitats in the central, north-east and south-west regions of Punjab state in India explored during the present investigation and observed that coprophilous Panaeolus were quite frequent in all areas and in all major seasons of the year. The frequency of species found in each season varies and majority (10 species) is encountered during monsoon months, three were collected during summer and two were fruited during both seasons. Panaeolus cyanescens was the only species found throughout the year. Regarding their preference on the type of herbivorous dung, as many as seven different types of dung substrates were identified. It includes mixed, buffalo, cow, horse, elephant and rabbit and some are also fruited on manured soil. Majority of species found exclusively on mixed dung while Panaeolus ater, P. castaneifolius and P. subbalteatus were found growing on both mixed and buffalo dung. Panaeolus alcidis and P. papilionaceus var. parvisporus were encountered only on buffalo dung. Panaeolus solidipes was found growing on horse dung and Panaeolus lepus-stercus was documented on rabbit dung. However, Panaeolus cyanescens was found on a variety of dung and manured soil habitats and have no preference for any particular type of dung. The growth habits vary from solitary, scattered, gregarious to caespitose groups. Majority of species (7 species) found either scattered or in small groups. Panaeolus tropicalis and P. castaneifolius were observed growing solitary to scattered. Panaeolus solidipes, P. antillarum and P. africanus var. diversistipus were

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observed in solitary manner. Panaeolus acuminatus and P. sphinctrinus were found in gregarious manner. Panaeolus alcis was found in caespitose clusters. Panaeolus cyanescens were found in solitary, scattered, gregarious and caespitose clusters manner. The study reveals that dung is an important substrate which serves as a favorable niche for the growth of Panaeolus mushrooms in the state of Punjab. Proper management of livestock and pastures are important in the conservation of coprophilous mushrooms of Punjab.

ACKNOWLEDGEMENTS The authors wish to thank Punjabi University, Patiala for providing laboratory facilities. The grant-in-aid under SAP-III program by University Grants Commission, New Delhi, India to the Department of Botany, Punjabi University, Patiala, Punjab, India is also acknowledged.

REFERENCES Abraham SP. 1991. Kashmir fungal flora-an overview. In: Nair MC (ed) Indian Mushrooms. Kerala Agricultural University, Velenikkara, Kerala. Allen J. 1994. Close encounters of the Panaeolus kind. Psychedelic Illuminations 5: 58-62. Arora D. 1986. Mushrooms Demystified: A Comprehensive Guide to the Fleshy Fungi. Ten Speed Press, Berkeley, CA. Atri NS, Kaur A, Kour H. 2005. Wild mushrooms-collection and identification. In: Rai RD, Upadhyay RC, SharmaSR (eds) Frontiers in Mushroom Biotechnology. National Research Center for Mushroom, Chambaghat, Solan, India. Atri NS, Saini SS. 2000. Collection and study of agarics-an introduction. Indian J Mush 18: 1-5. Bhavani Devi S. 1995. Mushroom flora of Kerala. In: Chadha KL, Sharma SR (eds) Advances in Hortriculture, Vol. 13-Mushrooms. Malhotra Publishing House, New Delhi. Bhide VP, Pande A, Sathe AV, Rad VG, Patwardan PG. 1987. Fungi of Maharashtra. Maharashtra Association for the Cultivation of Science. MACS Research Institute, Pune, India. Bose SR. 1920. Records of Agaricaceae from Bengal. J Asiat Soc Bengal 16: 347-354. Dennis RWG. 1970. Fungus flora of Venezuela and adjacent countries. Kew Bull 3: 1-531. Dennis RWG. 1986. Fungi of the Hebrides. HMSO, Kew, London. Dhancholia S, Bhatt JC, Pant SK. 1991.Studies of some Himalayan Agarics. Acta Bot Indica 19 (1): 104-109. Doveri F. 2010. Occurrence of coprophilous Agaricales in Italy, new records, and comparisons with their European and extraeuropean distribution. Mycosphere 1: 103-140. Gerhardt E. 1996. Taxonomische revision der gattungen Panaeolus and Panaeolina (Fungi, Agaricales, Coprinaceae). Biblioth Bot 147: 1149. Ghosh RN, Pathak NC, Tiwari T. 1967. Studies on Indian Agaricales. Indian Phytopath 20: 237-242. Guzmán G, Allen JW, Gartz J. 2000. A worldwide geographical distribution of the neurotropic fungi, analysis and discussion. Anali dei Civeci Musei, Rovereto 14: 189-270. Guzmán G, Ott J, Boydston J, Pollock SH. 1976. Psychotropic mycoflora of Washington, Idaho, Oregon, California and British Columbia. Mycologia 68: 1267-1272. Guzmán G, Pérez-Patraca AM. 1972. Las species conocidas del genero Panaeolus en Mexico. Bol Soc Mex Mic 6: 17-53. Guzmán G. 1978. A new species of Panaeolus from South America. Mycotaxon 7: 221-224. Hard ME. 1908. The Mushroom, Edible and Otherwise: Its habitat and its time of growth. The Ohio Library Co., Columbus, Ohio.


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B I O D I V E R S IT A S 15 (2): 115-130, October 2014

Hausknecht A, Krisai-Greilhuber I. 2003. Pilzbeobachtungen in einemneugeschaffenen Weidegebiet. Österr Z Pilzk 12: 101-123. Kaur A, Atri NS, Kaur M. 2013. Two new coprophilous varieties of Panaeolus (Psathyrellaceae, Agaricales) from Punjab, India. Mycosphere 4: 616-625. Kaur A, Atri NS, Kaur M. 2014. Two new species of Panaeolus (Psathyrellaceae, Agaricales) from coprophilous habitats of Punjab, India. J New Biol Rep 3: 125-132. Kirk PF, Cannon PF, Minter DW, Stalpers JA. 2008. Ainsworth and Bisby’s ‘Dictionary of Fungi’ (10th ed). CABI Bioscience, CAB International, UK. Kornerup A, Wanscher JH. 1978. Methuen Handbook of Colour, 3rd ed, Eyre Methuen, London. Kuo M. 2007. Panaeolus papilionaceus. Retrieved from the MushroomExpert.Com. http://www.mushroomexpert.com/Panaeolus_papilionaceus.html [accessed May 15, 2014]. Lakhanpal TN. 1993. The Himalayan Agaricales-Status of systematics. Mush Res 2 (1): 1-10. Lakhanpal TN. 1995. Mushroom Flora of North West Himalayas. In: Chadha KL, Sharma SR (eds) Advances in Hortriculture, Vol. 13Mushrooms. Malhotra Publishing House, New Delhi. Manimohan P, Thomas KA, Nisha VS. 2007. Agarics on elephant dung in Kerala State, India. Mycotaxon 99: 147-157. Manjula B. 1983. A revised list of Agaricoid and Boletoid Basidiomycetes from India and Nepal. Proc Indian Acad Sci (Plant Sci) 92: 81-213. Miller OK Jr. 1968.Interesting Fungi of the St. Elias Mountains, Yukon Territory, and Adjacent Alaska. Mycologia 60: 1190-1203. Moser M. 1984. Panaeolus alcidis, a new species from Scandinavia and Canada. Mycologia 76 (3): 551-54. Natarajan K, Raaman N. 1983. South Indian Agaricales. Biblioth Mycol 89: 1-203. Pathak NC, Ghosh RN. 1962. Fungi of Uttar Pradesh. Bulletin of the National Botanic Gardens, No. 62, National Botanic Gardens, Lucknow, India.

Patil BD, Jadhav SW, Sathe AV. 1995. Mushroom flora of Maharashtra. In: Chadha KL, Sharma SR (eds) Advances in Hortriculture, Vol. 13Mushrooms. Malhotra Publishing House, New Delhi. Pegler DN. 1977. A Preliminary Agaric flora of East Africa. Kew Bull 6: 1-615. Pegler DN. 1983. Agaric flora of the lesser Antitles. Kew Bull9: 1-668. Pegler DN. 1986. Agaric flora of Sri Lanka. Kew Bull 12: 1-514. Reid DA, Eicker A. 1999. South African Fungi 10: New species, new records and some new observations. Mycotaxon 73: 169-197. Sarbhoy AK, Daniel J. 1981. Fungi of India. CBS Publishing, New Delhi, India. Sathe AV, Sasangan KC. 1977. Agaricales from South West India-III. Biovigyanam 3: 119-121. Singer R. 1986.The Agaricales in Modern Taxonomy (4th ed). Sven Koeiltz Scientific Books, Germany. Smith AH. 1949. Mushrooms in their Natural Habitats. Hafner Press, New York. Stamets P. 1996.Psilocybin Mushrooms of the World. Ten Speed Press, Berkeley. Stijve T. 1992. Psilocin, psilocybian, serotonin and urea in Panaeolus cyanescens from various origin. Persoonia 15 (1): 117-121. Vrinda KB, Pradeep CK, Mathew S, Abraham TK. 1999. Agaricales from Western Ghats-VI. Indian Phytopath 52 (2): 198-200. Wartchow F, Carvalho AS, Sousa MCA. 2010. First record of the psychotropic mushroom Copelandia cyanescens (Agaricales) from Pernambuco, Northeast Brazil. Rev Bras Biociênc 8: 59-60. Watling R, Gregory NM. 1987. British Fungus Flora-Agaric and Boleti 5. Strophariaceae and Coprinaceae. Royal Botanic Gardens, Edinburgh. Watling R, Richardson MJ. 2010. Coprophilous fungi of the Falkland Islands. Edinburgh J Bot 67 (3): 399-423. Zhishu B, Guoyang Z, Taihui L. 1993. The Macrofungus Flora of China’s Guangdong Province. The Chinese University Press, China.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 131-136

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150203

New records of Pteridophytes for Kashmir Valley, India SHAKOOR A. MIR1, ANAND K. MISHRA1, ZAFAR A. RESHI2, M. P. SHARMA1,♥ 1

Department of Botany, Jamia Hamdard, Hamdard Nagar, New Delhi-110062, India. Tel: +91-9968172445; ♥email: mps_2k@hotmail.com. 2 Department of Botany, University of Kashmir, Hazratbal, Srinagar-190006, Jammu and Kashmir, India Manuscript received: 12 July 2014. Revision accepted: 2 September 2014.

ABSTRACT Mir SA, Mishra AK, Reshi ZA, Sharma MP. 2014. New Records of Pteridophytes for Kashmir Valley, India. Biodiversitas 15: 131-136. During the recent field survey of district Shopian four species of Pteridophytes are reported for the first time that constitutes new records for Kashmir valley. These species are Hypolepis polypodioides (Blume) Hook, Pteris stenophylla Wall. ex Hook. & Grev., Dryopteris subimpressa Loyal and Dryopteris wallichiana (Spreng.) Hylander. The diagnostic features of H. polypodioides are presence of longcreeping slender rhizome and eglandular, colorless or brown tinged hairs throughout the frond. P. stenophylla is characterized by having dimorphic fronds and 3 to 5 pinnae clustered at stipe apex. D. subimpressa is marked by pale-green lamina and the largest basiscopic basal pinnule in the lowest pair of pinnae. Similarly, the characteristic features of D. wallichiana are presence of huge frond size, glossier and dark-green lamina and dense browner scales in stipe and rachis. In present communication taxonomic description, synonyms, ecology and photographs are provided for each of these newly recorded species. Key words: Kashmir Valley, new record, Pteridophytes, Shopian.

INTRODUCTION Pteridophytes are group of seedless and spore producing plants, formed by two lineages, Lycophytafronds with no leaf gap in the stem stele and monilophytesfronds with leaf gap in the stem stele (Pryer et al. 2001, 2004; Smith et al. 2006). They occupy unique position in the plant kingdom and are enormously fascinating from the angle of phylogenetic and morphological characters, bridging the gap between non-seed-bearing bryophytes and seed-bearing vascular plants. They constituted an important part of earth’s flora for millions of years (Pryer et al. 2001) and are today widely distributed in tropic and temperate regions, especially at higher elevations. Total number of Pteridophyte species are estimated to be 15,000 among which approximately 9600 ferns and 1400 Lycophytes are described worldwide (Chapman 2006; Smith et al. 2006, 2008). Of these species enumerated in the world, Indian landmass, which is one of the richest nations in terms of biological diversity and is counted among the 18 identified mega biodiversity countries of the world, harbors 1100 species (Fraser-Jenkins 2012). The major centers of their distribution being the Himalayas and the Western Ghats out of nine phytogeographical regions of India as reported by Chatterjee (1939). Kashmir valley is an integral but geologically ‘younger᾽ part of main Himalayan range. It is enclosed by lofty mountains of the Pir Panjal range in the south and southwest, the greater Himalayan range in north and east. Total area of the valley is 15,948km2 with 64% being mountainous (Dar et al. 2002). The altitude of the valley plain at its summer capital, Srinagar is 1,675m above mean

sea level (Dar et al. 2002) and the highest peak is that of the ‘Kolahoi or Gwashibror’ with an elevation of 5,420m. Because of topographical, altitudinal and geographical variation, the valley portrays great habitat diversity and harbors rich floristic diversity of immense scientific interest and economic potential. However, the published literature on flora of Kashmir showed that only Phanerogams are well documented. Cryptogams, especially Pteridophytes have received little attention in the past with regards to their survey and inventorization and thus, have not been examined thoroughly (Dar et al. 2002). The workers that surveyed Pterido-flora of Kashmir valley are Clarke (1880), Beddome (1883, 1892), Hope (1903), Stewart (1945, 1951, 1957, 1984), Handa et al. (1947), Javeid (1965), Kapur and Sarin (1977), Dhir (1980), Kapur (1985) and Khullar (1994, 2000). Nonetheless, their collective contribution resulted in the discovery of only 90 species and 4 varieties of Pteridophytes from Kashmir division (Dar et al. 2002). The Stewart’s Catalog (Stewart 1972) nevertheless remained a prime source. In the recent, Wani et al. (2012) presented an up-to-date account of fern and fern allies of Kashmir valley, Gurez and Ladakh, yet reported only total of 106 taxa. To explore possibility of new records in the valley, this study is undertaken in the district Shopian.

MATERIALS AND METHODS Study area Shopian is a hilly district situated in the south and south-west of Kashmir valley in the close vicinity of Pir-


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Panjal range between latitude of 330.20′ and 340.54′ North and longitude of 730.35′ and 750.35′ East with an elevation of 1600 to 4500 meters above mean sea level. Total area of the district is 812.70 km2, of which more than half 442.98 km2 is under forests, meadowlands, glaciers, subalpine and alpine zone. Daily average temperature ranges from maximum 32ºC and minimum 15ºC during summer to a maximum of 4ºC and minimum of -4ºC during winter (Bhat et al. 2012). The region receives an annual precipitation of about 1050 mm mostly in the form of snow. According to Raza et al. (1978), the district possess three major categories of soils namely hill soils, alluvial soils and karewa soils. Great altitudinal variation and contours of hills shape the district into a gradually heightening slope with a wavy appearance that adds magnificent variation in vegetation. These edaphoclimatic variations, mountain slopes and terraces, permanent glaciers, large number of stream and streamlets and significant precipitation build many ideal sites for the luxuriant growth of pteridophytes in this district. The outline of study area is shown in Figure 1. Regular field trips were carried out in district Shopian and its adjacent area for the collection of pteridophytes diversity during 2010 to 2012. On the survey we not only confirmed the presence of the various species reported earlier by various workers from other parts of Jammu and Kashmir, but also discovered four more species that are new to the pteridoflora of Kashmir valley. These four species are Hypolepis Polypodioides, Pteris stenophylla, Dryopteris subimpressa and Dryopteris wallichiana that were identified by the relevant literature and authenticated from Botanical Survey of India, Dehradun. The voucher

specimens are deposited in Department of Botany, Jamia Hamdard and in the Herbarium of University of Kashmir (KASH).

RESULTS AND DISCUSSION A detailed account comprising taxonomic descriptions, synonyms, distribution and figures of these newly recorded species is provided hereunder: Hypolepis polypodioides (Blume) Hook., Sp. Fil. 2: 63 (1852). Synonym: Cheilanthes polypodioides Blume, Enum. Pl. Javae 2: 139 (1828); Hypolepis coerulescens A. Biswas J. Econ. Taxon. Bot. 7: 121 (1985); Hypolepis gamblei A. Biswas J. Econ. Taxon. Bot. 7: 124 (1985); Hypolepis indica A. Biswas J. Econ. Taxon. Bot. 7: 112 (1985); Hypolepis sikkimensis A. Biswas J. Econ. Taxon. Bot. 7: 122 (1985); Hypolepis viridula A. Biswas J. Econ. Taxon. Bot. 7: 123 (1985). Family: Dennstaedtiaceae Description: Rhizome slender, long-creeping, woody, thick, 0.3-0.4 cm, hairy; hairs short brown. Stipes long 50 cm or more, dark-brown at base turning light in the distal region, hairy; hairs eglandular, colorless or brown tinged. Lamina 3 pinnate, ovate to deltate, 40-70 cm long & 20-40 cm broad, herbaceous, hairy on both surfaces; pinnae ca. 15 pairs, the large lower pinnae opposite, upper pinnae often alternate, petiolate, lanceolate to deltate; pinnules 12-18 pairs, basiscopic pinnules larger than the acroscopic ones, lanceolate, margin lobed to the costae; ultimate segments

INDIA

KASHMIR Figure 1. Research site “Shopian” located at south-west of Kashmir, Jammu and Kashmir, India


MIR et al. – New records of Pteridophytes from Kashmir, India

oblong, ca. 10 pairs, 1cm long by 0.5 cm broad, apex rounded, margin crenate or lobed, often reflexed; rachis dark-brown and course, grooved, hairy, hairs as on stipe. Veins free, simple or forked. Sori exindusiate, round, intramarginal, 2-6 pairs per pinnule, unprotected, partially protected by reflexed teeth. Spores yellowish brown, exine uniformly spinulose. Chromosome number n=104. Figure 2: A, B & C Habit and Habitat: Terrestrial; growing among large boulders on sandy soil near streams. Altitudinal distributional range and localities of occurrence: 1600-2200 meter; Kund, Rambi Ara Specimen examined: Kund, 2025 m elevation, 27.09.2011, SAM 907 (KASH). Distribution: Bangladesh, Myanmar, China, Indonesia, Laos, Malaysia, Nepal, Philippines, Taiwan, Thailand, Vietnam, India (Arunachal Pradesh, Dehradun, Garhwal, Himachal Pradesh, Manipur, Sikkim, Uttar Pradesh, South India, Jammu division (Dixit 1984; Khullar 1994; Chandra 2000). Pteris stenophylla Wall. ex Hook. & Grev., Icon. Filic., 2: t. 130 (1829). Synonyms: Pteris cretica L. var. stenophylla (Wall. ex Hook. & Grev.) Baker, Syn. Fil. 154 (1867); Pteris pellucida Presl. var. stenophylla (Wall. ex Hook. & Grev.) C.B. Clarke, Trans. Linn. Soc. London, Bot. 1 (7): 463 (1880). Family: Pteridaceae Description: Rhizome very short, creeping, thin, 3-4 mm, scaly: scales dark-brown, lanceolate. Fronds dimorphic, clustered. Stipes ca. 20 cm long, stramineous, thin, 1-2 mm, base scaly, upward glabrescent, scales as on rhizome. Lamina pinnate, digitate, 15-20 cm long, texture subcoriaceous, glabrous; pinnae ca. 3 or 5, clustered at stipe apex, linear- lanceolate in shape, up to 20 cm long, 12 cm broad, base cuneate, margin sub-entire and undulate in lower part, serrate upwards, the dentations oblique, rather sharp, papyraceous or thicker, apex long acuminate, dimorphic; fertile pinnae narrower (ca. 0.7 cm) than sterile ones, infertile apex is small and coarsely dentate-serrate; veins simple or forked, reaching the margin, mid-vein straw-colored, convex adaxially. Sori indusiate, marginal, indusia continuous. Spores brown. Chromosome number n=29. Figure 2: D, E & F Habit and Habitat: Terrestrial; growing among dry rocks in open forests Altitudinal distributional range and localities of occurrence: 2000-3000 meter; Kund, Kellar. Specimen examined: Shopian, Kellar, 2400 m elevation. 15.10.2011, SAM 820 (KASH). Distribution: Bhutan, Nepal, Philippines, India (Himachal Pradesh, Uttar Pradesh, Uttarakhand, Jammu Division (Dixit 1984; Khullar 1994; Chandra 2000). Dryopteris subimpressa Loyal, Nova Hedwigia 16: 467 (1968). Synonyms: Dryopteris submarginata Loyal Caryologia 18(3): 473 (1965).

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Family: Dryopteridaceae Description: Rhizome long-ascending, scaly, stout. Stipe long, ca. 30 cm, very base blackish, rest stramineous, base densely clothed with scales; scales pale brown, ovate, adnate, margin entire, apex acute, gradually smaller and sparser upward; rachis abaxially brownish, adaxially stramineous, very sparsely scaly. Lamina 2 to 3-pinnate, deltoid-lanceolate, ca. 40 cm long and 30cm broad, widest at base, apex acute, pale green, thinly leathery, glabrous on both surfaces; pinnae ca. 17 pairs, up ca. 16 cm long, 8 cm broad (largest), triangular-lanceolate, petiolate, alternate, basal pair largest, tapering upwards, apex acuminate; pinnules ca. 13 pairs, obliquely spreading, narrowly oblong-lanceolate, alternate, distant, pinnules petiolate towards lower half, adnate half-way above, basal basiscopic pinnule of lowest pinnae largest ca. 5 cm long, base 1.6 cm wide (at base), gradually smaller and narrower upward, apex acute with dentate projections, margin lobed to pinnate; pinnulets (lobes) many, deltoid-oblong, margin serrate, apex obtuse or truncate, sharply serrate. Veins 1012 pairs per pinnule, raised abaxially, impressed adaxially, costae and costule sparsely fibrillose and scales. Sori indusiate, rounded, 4-6 pairs per pinnule, terminal on veins, large, in 1 row on each side of costule and close to it; indusia brownish, rounded-reniform, thick, persistent, thick, glabrous. Spores light-brown, perinate, perine folded. Chromosome number n=41. Figure 2: G, H & I Habit and Habitat: Terrestrial; growing along the small stream banks Altitudinal distributional range and localities of occurrence: 1800-2700 meters; D.K. Pora, Narwani, Zainapora, Turkawangam Specimen examined: Shopian, D. K. Pora, 1850 m alt., 06.07.2011, SAM 859 (KASH). Distribution: Nepal, China, India (Himachal Pradesh, Kumaun, Uttarakhand, Sikkim, West Bengal) (Dixit 1984; Khullar 2000; Chandra 2000). Dryopteris wallichiana (Spreng.) Hylander, Bot. Notis: 352 (1953). Synonyms: Aspidium paleaceum Lag. ex Sw., Syn. Fil. 52 (1806); Aspidium parallelogrammum Kunze, Linnaea 13: 146 (1839); Aspidium wallichianum Spreng., Syst. Veg. 4(1): 104 (1827); Dryopteris doniana Ching, Sunyatsenia 6(1): 3-4 (1941); Dryopteris doiana Tagawa, Acta Phytotax. Geobot. 5(4): 253-254 (1936); Dryopteris himalaica (Ching & S.K. Wu) S.G. Lu, Acta Bot. Yunnan. 13(1): 40 (1991); Dryopteris quatanensis Ching, Wuyi Sci. J. 1(1): 6 (1981); Dryopteris ursipes Hayata, Icon. Pl. Formosan. 5: 291-293, f. 116 (1915); Dryopteris filix-mas var. paleacea Druce, List Brit. Pl. 87 (1908); Dryopteris cyrtolepis Hayata, Icon. Pl. Formosan. 4: 149-150, f. 89 (1914); Dichasium parallelogrammum (Kunze) Fee, Mem. Foug. 5: 303, pl. 23B, f. 1 (1852); Lastrea patentissima (Wall. ex Kunze) J. Sm., J. Bot. (Hooker) 4: 193 (1842); Lastrea parallelogramma (Kunze) Liebm., Kongel. Danske Vidensk. Selsk. Skr., Naturvidensk. Math. Afd., ser. 5 1: 271 (1849); Nephrodium patentissimum (Wall. ex Kunze) C.B. Clarke, J. Linn. Soc., Bot. 15(83): 156-157 (1877);


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A

B

C

D

E

F

G

H

I

J

K

L

Figure 2. A, B, C: Hypolepis polypodioides; D, E, F: Pteris stenophylla G, H, I: Dryopteris subimpressa; J, K, L: Dryopteris wallichiana


MIR et al. – New records of Pteridophytes from Kashmir, India

Nephrodium parallelogrammum (Kunze) C. Hope, J. Bombay Nat. Hist. Soc. 14: 728-729 (1903); Aspidium crinitum M. Martens & Galeotti Nouv. Mem. Acad. Roy. Sci. Bruxelles 15(5): 66 (1842); Lastrea filix-mas var. parallelogramma (Kunze) Bedd. Handb. Ferns Brit. India, 249 (1883). Family: Dryopteridaceae Description: Rhizome erect, massive, bearing several fronds in whorled fashion, densely clothed with brown, lanceolate scales. Fronds evergreen, monomorphic, shuttlecock shaped. Stipes short, ca. 14 cm, stramineous, very densely scaly; scales at stipe base blackish mixed with pale ones, scales upwards along with rachis light-brown to paler, mixed with few blackish ones, scale base usually dark, scales lanceolate to narrowly lanceolate, margins with projections, apex acuminate; rachis densely scaly and fibrillose; Lamina 1-pinnate- pinnatisect, green to deepgreen, lanceolate to oblong-lanceolate, large, ca. 70 cm long and 22 cm broad, base narrowed, glabrous abaxially, scantly scaly on abaxial side, coriaceous in texture; pinnae numerous, 30-38 pairs, alternate, middle pinnae large, 11 cm long and 1.8 cm broad, broadest at base, apex acute, lanceolate, shortly petiolate, margin deeply lobed, sometimes pinnate, lower pinnae reduced; pinnules (lobes) up to 22 pairs, rectangular, obliquely spreading, roundly truncate to truncate at apex, apex toothed, basal pair of pinnules clearly separate from next to it, other pinnules are joined by a narrow wing, basal basiscopic pinnule with an auricle towards below. Veins free, forked; costae and costules grooved above, groove continuous from rachis to costae, scaly and fibrillose. Sori indusiate, round, 4-5 pairs per pinnule, in a single row on either side of pinnule, medial, 2/3rd of frond is fertile; indusia dark-brown, reniform falling off at maturity, glabrous, entire. Spores brownish, perinate, perine granulose. Chromosome number n=41. Figure 2: J, K & L Habit and Habitat: Terrestrial; growing on Forest floor Altitudinal distributional range and localities of occurrence: 2000-3500 meters; Huran, Dubjan, Peergali Specimen examined: Shopian, Dubjan, 2725 m alt., 23.07.2011, SAM 929 (KASH). Distribution: Mexico, Jamaica, Cuba, Brazil, Argentina, China, Tibet, Bhutan, Nepal, Taiwan, Myanmar, Japan, Vietnam, Philippines, Borneo, Java, India (Himachal Pradesh, Uttarakhand, Uttar Pradesh, Sikkim, Meghalaya, Arunachal Pradesh) (Dixit 1984; Khullar 2000; Chandra 2000). Discussion Pteridophytes inhabit a great variety of substrates, climates, and light regimes, both in habitats dominated by flowering plants and those where few angiosperms can survive. Owing to the vast variety of edapho-climatic and physiographic heterogeneity and diverse habitats including lakes, springs, swamps, marshes, rivers, cultivated fields, orchards, subalpine and alpine meadows, mountain slopes and terraces, permanent glaciers, etc., the Kashmir valley

135

harbors robust diversity of almost all groups of plants. The valley also contains vast diversity of plant species that are distinct from those in the rest of the country and endemic to this region. Different researchers have contributed to the study of pterido-flora of Kashmir valley; however, Ralph Randles Stewart (1972) is utmost fern collector of this realm. Recently, Wani et al. (2012) presented an up-to-date account of fern and fern allies of Kashmir valley, Gurez and Ladakh and cited a total of 106 taxa. The authors also included ecological status, phytogeographical affinity and the distributional data of collected ferns. During the current extensive field surveys carried out in different regions of district Shopian and its adjacent area a good number Pteridophyte species were collected, out of which four species have been reported for the first time from the study area that makes up new records for the Kashmir valley. There are no earlier reports of their collection from the valley. However, these species have been reported from other parts of the world and also from different regions of India. The two species viz., Dryopteris subimpressa and Dryopteris wallichiana are new to the Jammu and Kashmir state, whereas Hypolepis polypodioides and Pteris stenophylla had earlier been reported from the Jammu division. The distinguishing features of Hypolepis polypodioides are presence of longcreeping slender rhizome and eglandular, colorless or brown tinged hairs throughout frond. Pteris stenophylla differs from its close relative Pteris cretica in having dimorphic fronds and the presence of only 3 or 5 pinnae clustered at stipe apex. Similarly D. subimpressa is characterized by the presence of pale-green lamina and in bearing the largest basiscopic basal pinnule in the lowest pair of pinnae. The Dryopteris wallichiana contrasts from its close relatives, D. redactopinnata and D. xanthomelas in having huge frond size reaching up to meters; glossier and dark-green lamina; and browner and dense scales in stipe and rachis.

CONCLUSION In addition to a good number of species, four species of pteridophytes namely; Dryopteris subimpressa, Dryopteris wallichiana, Hypolepis polypodioides and Pteris stenophylla were collected for the first time from Kashmir valley, which are discussed in the present communication. This study is expected to act as a stepping stone for further floristic studies and their need for studying the Pteridophyte diversity in other parts of Jammu and Kashmir State. In addition, field survey is a primary methodology to assess plant communities that furnish the basic information required for conservation of biodiversity.

ACKNOWLEDGEMENTS The first author is thankful to University Grants Commission (UGC), New Delhi for providing financial assistance to carry out the research work. Authors are also


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thankful to Late Dr. H.C. Pande (Sci.-'D') and Dr. Brijesh Kumar from Botanical Survey of India, Dehradun for providing helps in the identification of species.

REFERENCES Beddome RH. 1883. Handbook to the ferns of British India, Ceylon and Malay Peninsula. Thacker Spink and Co, Calcatta. Beddome RH. 1892. Supplement to the ferns of British India, Ceylon and Malay Peninsula. Thacker Spink and Co, Calcutta. Bhat TA, Nigam G, Majaz M. 2012. Study of some medicinal plants of the Shopian District, Kashmir (India) with emphasis on their traditional use by Gujjar and Bakerwal Tribes. Asian J Pharm Clin Res, Vol 5, Suppl 2: 94-98. Chandra S. 2000. The Ferns of India, Enumeration, Synonyms & Distribution. International Book Distributors, Dehra Dun, India. Chapman AD. 2006. Numbers of Living Species in Australia and the World. Report for the Department of the Environment and Heritage, Canberra, Australia. Chatterjee D. 1939. Studies on the endemic flora of India and Burma. J Asiat Soc Bengal (Sci.) 5: 19-68. Clarke CB. 1880. A Review of ferns of Northern India. Trans Linn Soc (Bot) London 1: 425-611. Dar GH, Bhagat RC, Khan MA. 2002. Biodiversity of the Kashmir Himalaya. Anmol Publications Pvt Ltd, New Delhi. Dhir KK. 1980. Ferns of North Western Himalayas. Bibliotheca Pteridologia. 1: 1-158. Dixit RD. 1984. A Census of Indian Pteridophytes, Flora of India IV. Bot Surv India, Howrah, Calcutta, India. Fraser-Jenkins CR. 2012. Rare and threatened Pteridophytes of Asia 2. Endangered species of India-the higher IUCN Categories. Bull Natl Mus Nat Sci Ser B 38 (4): 153-181. Handa KL, Kapoor LD, Chopra IC. 1947. Male ferns of Kashmir. Curr Sci 16: 55-56. Hope CW. 1903. The ferns of Northwestern India including Afghanistan the Trans-Indus Protected Areas & Kashmir. J Bombay Nat Hist Soc 14: 720-749. Javeid GN. 1965. Some ferns & ferns allies of Srinagar, Kashmir. Science 2: 90-100.

Kapur SK, Sarin YK. 1977. Useful medicinal ferns of Jammu & Kashmir. Indian Drugs 14: 136-140. Kapur SK. 1985. Contribution to the Pteridophytic flora of the Jammu and Kashmir. J Econ Tax Bot 6: 503-514. Khullar SP. 1994. An Illustrated Fern Flora of West Himalaya Vol. I (Botrychiaceae to Aspleniaceae). International Book Distributors, Dehradun, India. Khullar SP. 2000. An Illustrated Fern Flora of West Himalaya. Vol. II. International Book Distributors, Dehradun, India. Pryer KM, Schneider H, Smith AR, Cranfill R, Wolf PG, Hunt JS, Sipes SD. 2001. Horsetails and ferns are a monophyletic group and the closest living relatives to seed plants. Nature 409: 618-622. Pryer KM, Schuettpelz E, Wolf PG, Schneider H, Smith AR, Cranfill R. 2004. Phylogeny and evolution of ferns monilophytes with a focus on the early Leptosporangiate divergences. Am J Bot 91: 1582-1598. Raza M, Ahmad A, Mohammad A. 1978. The valley of Kashmir, a geographical interpretation. Vikas Publication, New Delhi. Smith AR, Pryer K, Schuettpelz E, Korall P, Schneider H, Wolf PJ. 2006. A classiďŹ cation for extant ferns. Taxon 55: 705-731. Smith AR, Pryer KM, Schuettpelz E, Korall P, Schneider H, Wolf PG. 2008. Fern classification. In: Ranker TA, Haufler CH (eds). Biology and Evolution of Ferns and Lycophytes. UK, Cambridge University Press, Cambridge. Stewart RR. 1945. Ferns of Kashmir Himalaya. Bull Torrey Bot Club 72: 399-426. Stewart RR. 1951. The ferns of Pehlgam, Kashmir. J Indian Bot Soc 30: 137-142. Stewart RR. 1957. The fern and fern allies of West Pakistan. Biologia 3: 1-32. Stewart RR. 1972. An annotated catalogue of the vascular plants of West Pakistan and Kashmir. In: Nasir E, Ali SI (eds). Flora of West Pakistan. Fakhri Press, Karachi. Stewart RR. 1984. Remarks on North-West Himalayan Ferns. Indian Fern J 1: 41-46. Wani MH, Shah MY, Naqshi AR. 2012. The ferns of Kashmir-an update account. Indian Fern J 29: 100-136. Blume CL. 1828. Enumeratio Plantarum Javae et Insularum Adjacentium. Fasc. II, Filices. Lugduni Batavarum, Batavia. Biswas A. 1985. The genus Hypolepis Bernh. in India. J Econ Taxon Bot 7: 111–124


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 137-141

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150204

Epidermal studies of three species of Vernonia Schreb. in Southern Nigeria CATHERINE IJEOMA KEMKA-EVANS1,♼, BOSA OKOLI2, CHIB UIKE NWACHUKWU1 1

Department of Biology, Alvan Ikoku Federal College of Education, P.M.B 1033, Owerri, Imo State, Nigeria. Tel.: +234 083 230300, ♼ email:_kemkakate@yahoo.com. 2 Regional Centre for Bioresources and Biotechnology, University of Port Harcourt, Rivers State, Nigeria. Manuscript received: 17 April 2014. Revision accepted: 31 July 2014.

ABSTRACT Kemka-Evans CI, Okoli B, Nwachukwu CU. 2014. Epidermal studies of three species of Vernonia Schreber in Southern Nigeria. Biodiversitas 15: 137-141.The leaf epidermal studies of three species of Vernonia namely V. cinerea (L) Less, V. amygdalina Delile. (bitter leaf and non-bitter leaf variety) and V. conferta Benth. were undertaken with the aim of revealing their foliar characters which will enhance their identification and determination of their taxonomic relationship. Matured leaves were soaked in Sodium Oxochlorate II for 24hours to separate the epidermal surfaces. Data from the measurement of stomata and epidermal cells were analyzed. The presence of diagnostic characters such as contiguous stomata and sinuous anticlinal walls on the abaxial leaf surface of non-bitter variety of V. amygdalina and on both leaf surfaces (adaxial and abaxial) of V. cinerea are of taxonomic importance. The irregular T-shaped trichomes on the leaf surfaces of V. amygdalina (bitter leaf) and the cuticular striations on the adaxial surface of the same taxa could be used to delimit the taxa from the other species. The distribution of the stomata show hypoamphistomatic in all the three species studied. Anomocytic stomata occurred on all the taxa studied. Anisocytic stomata were found on the abaxial surface of V. conferta. These characters examined revealed interspecies relationship among the three species and also suggest that V. amygdalina (non bitter leaf) is a variety of V. amygdalina (bitter leaf) and should not be regard as another species of Vernonia. The epidermal leaf characters of V. amygdalina (non-bitter leaf) is also been reported for the first time. Key words: Epidermal, Southern Nigeria, Vernonia.

INTRODUCTION Vernonia Schreber belongs to the tribe Vernonieae of the family Asteraceae (Compositae). The family Asteraceae is the largest family of the flowering plants, comprising 950 genera, and 23,000 species (Gills 1988). Olorode (1984) noted that the family Asteraceae possesses simple leaves with alternate or opposite leaf arrangement. Among the species found in Nigeria, V. cinerea (L) Less, V. amygdalina Delile and V. conferta Benth. form an interesting group to study because V. cinerea is a herbaceous weed while V. amygdalina is usually treated as a shrub and also occur as bitter leaf and non bitter leaf variety and V. conferta is a small tree. The existence of V. amygdalina in bitter leaf and non-bitter leaf form, sometimes poses a problem in classification of the species as V. amygdalina (non-bitter leaf) is usually regarded as a different species. The use of epidermal characters in general and those of trichomes in particular, have been widely recognized in angiosperm taxonomy. The taxonomic value of the leaf epidermal characters is well documented (Jayeola et al. 2001; Adedeji and Illoh 2004; Adedeji 2004). The epidermal characters in general and those of trichome in particular have been used by many researchers in the study of Angiosperm. Such workers include eight species of Indigofera (LeguminosaePapilionideae) (Nwachukwu and Edeoga 2006), two

species of Solanum (Solanaceae) (Mbagwu et al. 2008), three species of Boerhavia (Nyctaginaceae) (Edeoga and Ikem 2001) and eight species of Crassocephalum (Asteraceae) (Kemka and Nwachukwu 2011). Oladele (1990) found the occurrence and morphology of the irregular T-shaped trichomes on V. amygdalina to be diagnostic. Adedeji and Jewoola (2008) noted that the epidermal cells of V. cinerea and V. amygdalina are slightly irregular to polygonal with wavy or undulating anticlinal walls on the adaxial surface and sinuous anticlinal walls on the abaxial surface. They also observed that the leaf surfaces are amphistomatic. The present work which is epidermal studies on the three species of the genus Vernonia is aimed at providing a more detailed information of the epidermal characters which could be used to delimit the species and also document the epidermal characters of V. amygdalina (non bitter leaf) .It is also aimed to ascertain the taxonomic relationship of the three species considering the fact that they exhibit different habits of growth.

MATERIALS AND METHODS Sources of plant specimens The three Vernonia species studied namely V. cinerea (L) Less (Figure 3), V. amygdalina Delile (bitter leaf and


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15 (2): 137-141, October 2014

non-bitter leaf variety) (Figures 1 and 2) and V. conferta (Figure 4) were collected from Imo, Abia and Rivers, Southern Nigeria. The plant materials were grown at University of Port Harcourt, Rivers State, Nigeria. The specimens collected were authenticated by the curator/plant taxonomist at University of Port Harcourt, Rivers State, Nigeria and the voucher specimen deposited at the herbarium of the same university. Epidermal studies Epidermal peels of both adaxial and abaxial surfaces of the four different taxa made following a modified method of Metcalfe and Chalk (1979). The materials fixed in F.A.A. (Formalin acetic acid alcohol mixture) for 48hours materials were rinsed with distilled water and soaked in commercial bleach (Sodium Oxochlorate (II) (NaCIO)) for 24hours to clear the epidermis and loosen the tissues, The two surfaces were carefully separated using a razor blade and finally stained with safranin-O. The epidermal strips were then mounted temporarily on clean slides in 50% glycerin and covered with cover slips. Photomicrographs were taken from good preparation using a Leitz-habolux – 12 – microscope fitted with WILD-Mps camera. The length and breadth of 30 stomata and epidermal cells were measured on both surfaces. Ten microscopic fields chosen at random were used for enumeration of number of stomata and epidermal cells appearing per field view. The stomatal index and frequencies were calculated according to the formula of Salisbury in Olorode (1990) using the formula Stomatal Index = S/E+S x 100/1 where S = number of stomata per unit area, E = number of epidermal cells in the same area.

1

RESULTS AND DISCUSSION The epidermal cell and stomatal characteristics of taxa investigated are shown in Tables 1 and 2. The epidermal cell shape is irregular in all the taxa. The anticlinal wall is straight – arcuate on both surfaces of V. amygdalina (bitter leaf: Figures 6 and 10), V. conferta (Figures 8 and 12) and the adaxial surface of V. amygdalina (non-bitter variety; Figure 7). Sinuous anticlinal walls occurred on both the abaxial and adaxial surfaces of V. cinerea (Figures 5 and 9) and the abaxial surface of V. amygdalina (non-bitter variety: Figure 11). The distribution of the stomata is hypoamphistomatic in all the species (stomata occurring on both the upper and lower surfaces of the taxa studied). Stomatal types are generally anomocytic (stoma lacks morphologically differentiated subsidiary cells) in both the adaxial and abaxial surfaces of all the species but contiguous stomata occurred on the abaxial surfaces of V. cinerea and V. amygdalina (non-bitter leaf Figures 9 and 11). Only V. conferta has anisocytic stomata (stoma surrounded by three subsidiary cells. figures 8 and 12).Radiating cuticular striations appeared on the adaxial surface of V. amygdalina (bitter leaf). The highest stomatal length 31.86±1.10 occurred on V. amygdalina (non-bitter leaf) and the lowest 18.00±1.90 on V. conferta. Vernonia amygdalina (bitter leaf) exhibited the highest stomatal width 24.82±1.58 and the lowest 12.15±1.30 occurred on V. conferta. T-shaped, short-stalked glandular trichomes were found on both surfaces of the leaves of all taxa and bilobed trichomes were common on the abaxial surface of the species studied. The T-shaped trichomes in V. amygdalina are peculiar to it (Figure 10).

2

3

Figure 1. Morphological Features of Vernonia amygdalina (bitter leaf), showing leaves and inflorescence. Figure 2. Morphological Features of Vernonia amygdalina (Non-bitter leaf), showing leaves and inflorescence. Figure 3.Morphological Features of Vernonia cinerea, showing leaves and inflorescence. Figure 4.Morphological Features of Vernonia conferta, showing leaves and inflorescence.

4


KEMKA-EVANSet al.–Epidermal studies of Vernonia Schreber

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Table 1. Epidermal cell characteristics of the Vernonia species studied Species Character Epidermal cell shape Anticlinal cell pattern Epidermal cell length (nm) Epidermal cell width (nm) Number of epidermal cells per sq mm Co-efficient of variation

V. cinerea

V. amygdalina (bitter-variety) Adaxial Abaxial Irregular Irregular

V. amygdalina (non-bitter-variety) Adaxial Abaxial Irregular Irregular

Sinuous

Sinuous

Sinuous

41.22±1.85

48.40±4.41

Adaxial Irregular

Abaxial Irregular

Straightarcuate 56.97±6.74

Sinuous 39.81±3.50

Straightarcuate 55.53±1.51

31.68±5.07

29.25±1.22

29.07±2.05

15.84±0.93

5890

5300

2572

11.83

9.004.19

2.727.05

V. conferta Adaxial Irregular

Abaxial Irregular

41.49±6.71

Straightarcuate 36.99±1.84

Straightarcuate 32.04±3.45

20.78±6.90

31.41±1.20

31.05±3.47

19.08±0.69

1088

2750

560

5334

2900

9.335.89

2.727.07

16.33731

5.0411.17

10.783.5

Table 2. Stomatal characteristics and trichomes of Vernonia species studied Species

Abaxial Contiguous

V. amygdalina (bitter-variety) Adaxial Abaxial Anomocytic Anomocytic

27.90±1.29

27.45±0.40

27.63±1.36

V. amygdalina (non-bitter-variety) Adaxial Abaxial Anomocytic Anomocytic and contiguous 26.61±1.32s 31.86±1.10

16.65±1.25

24.82±1.58

13.77±0.82

19.08±3.68

4.64- 7.5

1.45- 6.36

4.92- 5.95

34.88

4.84

1.68

1.11

Bilobed glandular trichome

Irregular shaped glandular

V. cinerea

Character Adaxial Stomatal type Anomocytic and contiguous Stomatal 27.18±4.39 length Stomatal 23.22±2.89 width(nm) Co-efficient 16.07- 12.45 of variation Stomatal 9.84 index (%) Stomatal 1.17 length:width Trichomes Bilobed glandular trichome

V. conferta Adaxial Anomocytic

Abaxial Anomocytic

26.46±1.64

18.00±1.90

20.97±1.5

15.75±1.74

12.15±1.30

4.62- 19.28

3.45- 7.15

6.19- 11.10

10.6- 1128

5.35

10.44

21.61

5.32

9.38

2.01

1.39

1.51

1.68

1.48

Bilobed glandular

T-shaped glandular trichome

T-shaped glandular trichome

T- Irregular shaped glandular

5

T- T-shaped glandular

6


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15 (2): 137-141, October 2014

7

8

9

10

11

12

Figure 5. Adaxial epidermis of Vernonia cinerea showing sinuous anticlinal walls and anomocytic stomata. X 250 Figure 6. Adaxial epidermis of Vernonia amygdalina (bitter leaf) showing straight-arcuate. X 250 Figure 7. Adaxial epidermis of Vernonia amygdalina (non-bitter leaf) showing anomcytic stomata. X 150 Figure 8. Adaxial epidermis of Vernonia conferta. showing straight-arcuate anticlinal Walls. áşŒ 150 Figure 9. Abaxial epidermis of Vernonia cinerea showing contiguous stomata and sinuous anticlinal walls. X 250 Figure 10. Abaxial epidermis of Vernonia amygdalina (bitter variety) arrows show glandular trichomes. X 40 Figure 11. Abaxial epidermis of Vernonia amygdalina (non-bitter variety) showing contiguous stomata. X 250 Figure 12. Abaxial epidermis of Vernonia conferta showing anisocytic stomata. X 250


KEMKA-EVANSet al.–Epidermal studies of Vernonia Schreber

The anatomical evidence has provided useful information in the characterization of V. amygdalina, V. cinerea and V. conferta. The epidermal cell shape is irregular in all the taxa. The highest epidermal cell length 56.97±6.74 was observed in V. amygdalina (bitter leaf) and the lowest 32.04±3.45 in V. conferta. The highest epidermal cell width 31.68±5.07 was also observed in V. amygdalina (bitter leaf) and the lowest 19.08±0.69 in V. conferta. The anticlinal walls varied from straight–arcuate to sinuous. The sinuous anticlinal walls on the abaxial surface of V. amygdalina (non-bitter leaf) could be used to distinguish it from V. amygdalina (bitter leaf). The occurrence of the sinuous anticlinal walls and both surfaces of V. cinerea could be used to delimit it from the other species. The distribution of stomata is hypoamphistomatic in all the species. The highest stomatal length 31.86±1.10 was recorded on V. amygdalina (non-bitter leaf) and the lowest 18.00±1.90 on V. conferta. V. amygdalina (bitter leaf) exhibited the highest stomatal width 24.82±1.58 and the lowest 12.15±1.30 occurred on V. conferta. The presence of bilobed glandular trichomes in all the taxa suggests that the species are related. However the occurrences of irregular T-shaped trichomes in V. amygdalina (bitter leaf) agree with the work of Oladele (1990) who found out those irregular T-shaped trichomes could be of diagnostic importance in the three Vernonia species studied. The occurrence of anomocytic stomata on all the taxa studied suggests that the species are related. Anisocytic stomata found on the abaxial surface of V. conferta are of taxonomic importance. Okoli (1987) found contiguous stomata and cuticular striations to be of useful diagnostic feature on the leaf epidermis of Telfairia occidentalis Hook F. The contiguous stomata on the non – bitter leaf of V. amygdalina and also V. cinerea could be used to delimit the taxa. The presence of cuticular striations on the adaxial surface of V. amygdalina (bitter leaf) is also of diagnostic value in delimiting the taxon. The variation in the duration and habit of the various species of V. amygdalina is of taxonomic and horticultural importance. Vernonia amygdalina (non-bitter variety) which is a perennial plant can be propagated through seedlings and has less longevity compared to that of V. amygdalina (bitter leaf). The non – bitter variety also does not need several washing in water to remove the bitter taste before it is used for soup. The two taxa of V. amygdalina could be hybridized so as to extend the productivity and longevity of the hybrid. The work through the micro morphological features studied reveal that the three species are related

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irrespective of the differences in their habit. The observed micromophological difference such as the shape of trichomes conform with some classification systems, whereby V. cinerea has consistently been put in the section Tephrodes while V. amygdalina and V. conferta have different times, been put in the section strobocalyx (Isawumi 1993).

CONCLUSION The overall results from the study show that epidermal characters are of taxonomic importance in the classification and delimitation of the four taxa among the three species of Vernonia.

REFERENCES Adedeji O, Illoh H C. 2004. Comparative foliar anatomy of ten species in the genus Hibiscus Linn. in Nigeria. New Botanist31: 147-180. Adedeji O, Jewoola OA. 2008. Importance of epidermal characters in Asteraceae family. Not Bot Hort Agrobat Cluj 36 (2): 7-16. Adedeji O. 2004. Leaf epidermal studies of the species of Emilia Cass. (Asteraceae) in Nigeria. Botanica Lithuanica 10(2): 121-133. Burkill HM. 1985. The Useful Plants of West Tropical Africa, Vol. 1, AD Royal Botanic Gardens Kew. The Whitefriars Press Ltd., London. Edeoga HO, Ikem CI. 2001. Comparative morphology of Leaf epidermis in three species of Boerhavia L. J Econ Tax Bot19:197-205. Gills LS. 1988. Taxonomy of Flowing Plants. African Fep Publishers Ltd., Nigeria. Isawumi MA. 1993. New Combination in Baccuaroides Moench (Vernonieae; Compositae) in West African. Feddes Reportorium 104: 304-326. Jayeola AA, Thorpe JR, Adenegan JA. 2001. Macromorphological and micromorphological studies of the West African Rhizophora L. Feddes Repertorium 112: 349-356. Kemka CI, Nwachukwu CU. 2011.Epidermal micromorphology of species in the genus Crassocephalum Moench S. Moore (Compositae) in Nigeria. J Pharm Clin Sci 3:31-41. Mbagwu F N, Nwachukwu CU, Okoro OO. 2008. Comparative leaf epidermal studies on Solanum macrocarpon and Solanum nigrum. Res J Bot 3 (1): 45-48. Metcalfe CR, Chalk L. 1979. Anatomy of Dicotyledons, Vol.1, 2nded. Oxford U.K., London. Nwachukwu CU, Edeoga HO. 2006. Morphology of the leaf epidermis in certain species of Indigofera L. (Leguminosae – Papilionoideae). Intl J Bot 4: 40-43. Okoli BE. 1987. Anatomical studies in the leaf and probract of Telfairia (Cucurbitaceae). Feddes Reportorium 98: 3-4. Oladele F A. 1990. Leaf epidermal features in Vernonia amygdalina and Vernonia cinerea. Nigerian J Bot 3: 71-77. Olorode O. 1984. Taxonomy of West Africa Flowering Plants. Longman, London.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 142-146

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150205

Morphometric variations of three species of harvested cephalopods found in northern sea of Aceh Province, Indonesia ZAINAL ABIDIN MUCHLISIN1,♼, BATMI ZULKARNAINI2, SYAHRUL PURNAWAN2, ACHMAD MUHADJIER2, NUR FADLI2, SAMANTHA H. CHENG3 1

Department of Aquaculture, Faculty of Marine and Fisheries, Syiah Kuala University, Banda Aceh 2311, Indonesia. ♼email: muchlisinza@unsyiah.ac.id. 2 Department of Marine Sciences, Faculty of Marine and Fisheries, Syiah Kuala University, Banda Aceh 2311, Indonesia. 3 Department of Ecology and Evolutionary Biology, University of California-Los Angeles, USA. Manuscript received: 28 May 2014. Revision accepted: 3 August 2014.

ABSTRACT Muchlisin ZA, Zulkarnaini B, Purnawan S, Muhadjier A, Fadli N, Cheng SH. 2014. Morphometric variations of three species of harvested cephalopods found in northern sea of Aceh Province, Indonesia. Biodiversitas 15: 142-146. The purpose of the present study was to evaluate the morphometrics of three harvested cephalopods, Sepioteuthis lessoniana, Sepia officinalis and Uroteuthis sp. found in northern sea of Aceh Province, Indonesia. Sampling was conducted for six months from July to December 2012 in one week interval. A total of 318 cephalopods; 139 Sepioteuthis lessoniana, 139 Uroteuthis sp. and 40 Sepia officinalis were analyzed for morphometric study and 13 anatomical characters were measured to the nearest 0.01 mm using a digital caliper. Morphometric measurements were significantly different between the different species of cephalopods (ANOVA, p<0.05). S. officinalis differed in six morphological characters (head length, head width, tentacles length, gladius width, rancis width and length) from the squid species. Fin width and length were significantly greater in S. lessoniana than in S. officinalis and Uroteuthis sp. On the other hand, Uroteuthis sp. had significantly greater mantle lengths, standard lengths and gladius lengths than the other two cephalopod species (Duncan Test, p<0.05). However, fin width was similar between S. lessoniana and Uroteuthis sp., while eye diameter was similar between S. officinalis and Uroteuthis sp. A Discriminant Function Analysis scatter plot successfully discriminated the three species indicating significant differences in morphological variation. This analysis also indicates that morphometrically, S. lessoniana and S. officinalis are more similar to each other despite being in different orders. Key words: Morphology, Malacca strait, Sepioteuthis lessoniana, Sepia officinalis, Uroteuthis.

INTRODUCTION There are at least 100 species Decapodiform cephalopods (cuttlefish and squids) occurring in Indonesia waters, of which 24 are economically valuable (Djajasasmita et al. 1993) including Sepioteuthis lessoniana, Sepia officinalis, Uroteuthis chinensis, Uroteuthis duvauceli, Uroteuthis edulis, Uroteuthis singhalensis, Uroteuthis bartschi, Pterygioteuthis giardi and Symplecteuthis oualaniensis (Ismawan 2006). The cephalopods are economically very valuable aquatic organisms and they play an important role especially in the food web in marine ecosystem (Okutani et al. 1993). These species are traded in both fresh and processed forms, as well used as live bait for the tuna capture industry. Aceh Province is situated at the northern tip of Sumatra in Indonesia. It occupies two Indonesia Regional Fisheries Management Units, locally known as Wilayah Pengelolaan Perikanan (WPP), the Malacca Strait (WPP 571) and Indian Ocean (WPP 572). While Decapodiformes in these regions are heavily harvested, little is known concerning their biology and ecology. According to the Department of Marine and Fisheries Affair of Indonesia (DKP 2011), the estimated maximum sustainable yields (MSY) per year are

1,900 MT and 1,700 MT in WPP 572 and WPP 572, respectively. Unfortunately, total exploitation in both regions is in excess of this estimate at an average of 3,000 MT per year (DKP 2011) indicating an overfishing in these regions. Our field observation at the local market, there are three species of squids were frequently caught by Acehnese fishermen i.e. Uroteuthis sp., S. lessoniana and S. officinalis. To date, study on the morphometric of cephalopods found in Aceh waters especially at WPP 571 and WPP 572 have not been evaluated. On the other hand, information on morphometric variation is needed to provide comprehensive understanding on the biology of this aquatic animal to plan a better management and conservation strategies. The quantitative morphology of cephalopods can be studied through morphometrics, a numerical techniques used in the process of scientific description of fishes and cephalopods as well (Barriga-Sosa et al. 2004; Pinheiro et al. 2005). The morphometric is concerned with methods for the description and statistical analysis of shape variation within and among samples of organisms (Boletzky and Nege 1997). The study on the cephalopods has been increasing during the last three decades due to increasing of exploitation and overfishing


MUCHLISIN et al.– Morphometrics variation of cephalopods

(Caddy 1995). Study on the genetic of the big-fin reef squid, Sepioteuthis lessoniana from this region has been reported by Cheng et al. (2014), and the incubation period and hatching rate of big-fin squid eggs under various salinity levels has been reported by Andy-Omar et al. (2001); However, information on biological aspects of other cephalopods from Indonesian in general and Aceh waters is still in infancy. Hence, the objective of the present study was to evaluate the morphometric variations of three species of cephalopods, Sepioteuthis lessoniana, Uroteuthis sp. and Sepia officinalis harvested from northern sea of Aceh, Indonesia.

MATERIALS AND METHODS Sampling The squid samples were obtained from local fishermen from July to December 2012. The fishing ground is located at northern sea of Aceh Province, Indonesia (Figure 1). The sampling frequency was one week interval and the cephalopods were obtained from the same fishermen at fishing port of Lampulo, Banda Aceh, Indonesia. Collected samples were preserved in crush ice and transported to the laboratory at Syiah Kuala University, Banda Aceh, Indonesia for further analysis. Morphometric characters measurement A total of 318 cephalopods (139 Sepioteuthis lessoniana, 139 Uroteuthis sp. and 40 Sepia officinalis) were analyzed for traditional morphometric study and 13 anatomical characters were measured to the nearest 0.01 mm using a digital calipers. All measurements were

143

conducted on the left side of specimen (Figure 2). The description of each character is shown in Table 1. The data were standardized by transforming the measurements to size-independent shape variables based on Schindler and Schmidt (2006) as follows: Mtrans = M x 100/TL Where, M is the original measurement, Mtrans is transformed measurement, and TL is total length. Data analysis Univariate analysis The data of morphometrics were analyzed by one-way Analysis of Variance (One-way ANOVA) to test differences among species for each character and followed by a Duncan multiple range tests to investigate sources of variance if data had significant difference (Dytham 2003). Multivariate analysis Discriminant Function Analysis (DFA) was utilized in this study. The eigenvalues, cumulative percentage, percentage of total variance, and canonical correlation were generated in this analysis. Functions are considered useful for explaining the data if the eigenvalues are higher than 1 (Kaiser 1960). A structure matrix was also performed and the largest absolute correlation between each character and any discriminant function was utilized to explain the data. The Mahalanobis squared distance was used in a stepwise method to calculate overlap between each group. The group separation was shown in a scatter plot of function 1 versus function 2. All statistical analyses were performed using SPSS software v14 (SPSS Inc., Chicago, IL, USA).

Figure 1. The map of northern sea of Aceh, Indonesia showing fishing ground of Cephalopods (circle of left map).


B I O D I V E R S IT A S 15 (2): 142-146, October 2014

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RESULTS AND DISCUSSION The ANOVA test showed that species were significantly different on morphometric measurements of squids (p<0.05), and Duncan multiple range tests revealed that S. officinalis had significantly higher values for head length, head width, tentacular length, gladius width, length and width of rancis, than the other two species. S. lessoniana had higher value on two characters namely

A

width and length of fins, these values were significantly different from those of S. officinalis and Uroteuthis sp. While, Uroteuthis sp. had higher value on three characters of mantle length, standard length and gladius length. However, the higher similarity of fins width was detected between S. lessoniana with Uroteuthis sp. and eye diameter between S. officinalis with Uroteuthis sp. (Table 2). Hence, the three species of tested squids had higher morphological variation.

B RS

PTt

LS

PT LR

C

PR

PK PG

LG LM

PM

Figure 2. The morphometric characters of cephalopods measured in the study (modified from Andy-Omar 1999). A. Dorsal body view; PK= head length, PM= mantle length, LM= mantle width, PTt = tentacle length, PT= total length, B. Mantle and fins view; PS= fin length, LM= mantle width, LS= fins width, C. Gladius ventral view; PG= gladius length, PR= Rancis length, LR= Rancis width.

Table 1. Description of morphometric characters of cephalopods examined in the study Character Total length (PT) Eye diameter (DM) Head length (PK) Head depth (LK) Tentacle length (PTt) Mantle length (PM) Mantle width (LM) Fins width (LS) Fins length (PS) Gladius length (PG) Gladius width (LG) Rancis length (PR) Rancis width (LR)

Descriptions Distance from the left foremost tip of the mantle to the end of tentacle. Distance between anterior and posterior edge of the eye ball. Distance between the origin of mantle to origin of tentacle Orbital between right eye and left eye Distance between origin of the tentacle to end of longer tentacle The distance between the ventral lateral protruding to the posterior The larger part of mantle on the ventrolateral The distance between the end tip of right fin to the the end tip of left fin at dorsal part The fin length between the anterior lobe and the posterior The total length of the dorsal gladius. The larger width between the anterior and posterior parts. The length of gladius tip at posterior part The width of gladius at posterior part


MUCHLISIN et al.– Morphometrics variation of cephalopods

145

Table 2. The mean (±SD) of measured character of cephalopods. The mean value the same row followed by a different superscript are significant different (P < 0.05).

Characters Eye diameter Head length Head depth Mantle length Mantle length Fins length Fins width Tentacle length Total length Gladius length Gladius width Rancis length Rancis width

Sepioteuthis lessoniana n = 139 2.47±0.38b 9.04±1.24b 7.07±1.12b 36.00±3.20b 27.36±3.75c 32.07±2.91c 6.36±1.06b 56.49±5.53b 44.04±4.95b 35.00±3.23b 6.15±0.91b 8.24±1.10b 2.07±0.59b

Sepia officinalis n= 40 1.25±0.22a 10.20±1.17c 9.63±3.44c 32.99±2.65a 26.16±3.19b 29.47±2.79b 4.25±0.48a 60.28±2.69c 40.72±3.10a 32.69±2.30a 11.18±0.87c 8.97±0.71c 7.69±0.69c

Uroteuthis sp. n= 139 1.25±0.47a 7.59±1.15a 5.12±1.06a 41.06±3.83c 11.39±2.35a 13.17±4.75a 5.95±1.65b 52.64±5.42a 48.17±4.42c 40.28±3.83c 5.09±0.82a 6.79±2.03a 1.80±0.55a

Discriminant Function Analysis (DFA) resulted in two functions and both had eigenvalues of more than 1 Function 1 had eigenvalues of 28.33 explaining 62.6% of total variance, and this function had high loadings for eleven characters i.e. mantle width, mantle length, fins length, fins width, gladius width, gladius length, head length, head width, standard length, rancis length and tentacle length. While function 2 had eigenvalues of 16.94, explaining 37.4% of total variance and had high loadings for eye diameter and rancis width (Table 3). The scatter plot of Function 2 against Function 1 showed that individuals of the three cephalopods groups were divided into three clusters where S. lessoniana and Uroteuthis sp. were closely related while S. officinalis was clustered separately (Figure 3). Table 3. Eigenvalues, percentage of variance and DFA loading of morphometric characters. High loading characters indicated in bold types Function Eigenvalue % of Variance Cumulative % Canonical correlation Mantle width (LM) Fins length (PS) Gladius width (LG) Gladius length (PG) Mantle length (PM) Head length (PK) Fins length (PS) Rancis length (PR) Tentacle length (PTt) Head depth (LK) Fins width (LS) Rancis width (LR) Eye diameter (DM)

1 28.33 62.6 62.6 0.983 0.436(*) 0.412(*) 0.315(*) 0.179(*) 0.161(*) 0.141(*) 0.118(*) 0.099(*) 0.091(*) 0.084(*) 0.061(*) 0.382 0.153

2 16.94 37.4 100 0.972 0.228 0.239 0.299 0.040 0.006 0.010 0.087 0.009 0.014 0.003 0.031 0.555(*) 0.293(*)

Figure 3. The Canonical Discriminant Function scatter plot: function 1 versus function 2 of morfometric characters of cephalopods

Generally the three examined squids displayed higher morphological differences among groups, indicating valid taxonomic status of these species. Morphometric characters have been widely utilized in fisheries biology to assess differentiation and relationships among various taxonomic categories and also for stock identification (Turan 1999). Based on the morphological data the squids samples have been discriminated into three separate groups indicating the different taxonomic status. However, for validation of the taxonomic status of these species, genetic analysis data are needed. Presently the genetic data of S. lessoniana has been reported by Cheng et al. (2014), but no information on the rest species was available. According to Prioli et al. (2002) genetic data have been recognized as useful information in species identification. In addition, within the same species, size can vary with the age and affected by environmental factors (Armstrong and Cadrin 2001), therefore genetic data are useful in overcoming this problem. Therefore, studies on the genetic variations of Sepioteuthis lessoniana, Sepia officinalis and Uroteuthis sp. are crucially needed. According to Dewanto (2001) morphological variations are affected by environmental factors i.e. water temperature, current and salinity, and by genetic factor. Moreover, Matthews (1998) stated that aquatic organisms have morphological adaptation to their environment. In general, the similarities in morphometric measurements indicate similar responses in growth to similar environmental conditions, or similar life histories. It is significant that systematically, Uroteuthis sp. and Sepioteuthis are more closely related (both being in the same family Loliginidae and same order Teuthidae) while S. officinalis is in an entirely different order (Sepiidae). Phylogenetically, this is a different story since the deeper phylogenetic relationships between families and orders of Decapodiformes is quite complex and not well resolved (Anderson 2000; Lindgren et al. 2010). It is significant that Sepia and Sepioteuthis share similar habitat characteristics and life histories and home ranges and are shown here to be


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B I O D I V E R S IT A S 15 (2): 142-146, October 2014

more morphometrically similar than Uroteuthis which is much more associated with open waters and less with strictly coastal environments. This is in agreement with Tehranifard and Dastan (2011) who studied one species of Sepia (S. pharaonis) where the species is a neritic demersal species which occurs down to 130 m. Thus despite being divergent systematically, Sepia and Sepioteuthis are similar morphometrically. This has major implications for management and conservation. Strategies to conserve Sepia may benefit Sepioteuthis, however, in no way does it seem that practices benefiting Uroteuthis will benefit either of those. This is highly contradictory to how catch is reported and monitored for Sepioteuthis in particular, because it is usually lumped in with other Uroteuthis species when in fact, morphometrically, and ecologically, they are more similar to Sepia.

CONCLUSIONS Most of the morphometric characters of cephalopods were highly different among the three species were observed. However, the fin width S. lessoniana and Uroteuthis sp. were relatively similar and the eye diameter of Uroteuthis sp and S. officinalis were relatively similar. There was higher similarity in body shape between S. lessoniana and S. officinalis.

ACKNOWLEDGEMENTS The study was supported by a grant from the Explorers Club granted to S.H. Cheng. We express appreciation to anonymous reviewers for their critical comments and suggestions. The technical assistance by all members of Aquaculture Research Group of Syiah Kuala University, Banda Aceh, Indonesia is also acknowledged.

REFERENCES Anderson FE. 2000. Phylogeny and historical biogeography of the loliginid squids (Mollusca: Cephalopoda) based on mitochondrial DNA sequence data. Mol Phylogenet Evol 15: 191-214. Andy-Omar SB, Danakusumah E, Rani C, Siswanto E, Hade AR. 2001. Incubation period and hatching rate of big fin squid Sepioteuthis lessoniana in salinity of 24 to 38o/oo. Phuket Mar Biol Cent Spec Publ 25 (1): 139-143. Andy-Omar SB. 1999. Reproductive biology and cultures effort of cephalods. Paper of Special Case of Reproduction. Biological

Reproduction Study Program, Institut Pertanian Bogor, Bogor. [Indonesian] Armstrong MP, Cadrin SX. 2001. Morphometric variation among spawning groups of the Gulf of Maine—Georges Bank herring complex. In: Funk F, Blackburn J, Hay D, Paul AJ, Stephenson R, Toresen R, Witherell D (eds). Herring: Expectations for a New Millennium. University of Alaska, Alaska Sea Grant College Program, Fairbanks. Barriga-Sosa IDLA, Jimenez-Badillo MDL, Ibanez AL, ArredondoFiguuero JL. 2004. Variability of tilapias (Oreochromis spp.) introduced in Mexico: Morphometric, meristic and genetic characters. J Appl Ichthyol 20: 7-14. Boletzky P, Nege S. 1997. Morphometrics of the shell of three Sepia species mullsca cephalopod intra and interspecific variation. Zool Beitr NF 38 (2): 137-156. Caddy JF. 1995. An overview of present resource exploitation. Cephalopod and demersal finfish stocks: some statistical trends and biological interactions. Squid 94 Venice. The 3rd International Cephalopod Trade Conference. 15.16.17 November 1994. Italy. Cheng SH, Anderson FE, Bergman A, Mahardika GN, Muchlisin ZA, Dang BT, Calumpong HP, Mohamed KS, Sasikumar G, Venkatesan V, Barber PH. 2014. Molecular evidence for co-occurring cryptic lineages within the Sepioteuthis cf. lessoniana species complex in the Indian and Indo-West Pacific Oceans. Hydrobiologia 725: 165-188. Dewantoro E. 2001. The RNA/DNA morphometrical characters ratio and composition of common carp flesh (Cyprinus carpio L.) sinyonya, karper kaca strains and their hybrid. Master Thesis, Institut Pertanian Bogor, Bogor. [Indonesian] Djajasasmita M, Soemodihardjo S, Sudjoko B. 1993. Status of cephalods resources in Indonesia. National Seminar on MAB Indonesian Program, Indonesian Sciences Agency (LIPI), Jakarta. [Indonesian] DKP. 2011. Marine and Fisheries Statistics 2011. Marine and Fisheries Affairs, Republic of Indonesia, Jakarta. [Indonesian] Dytham C. 2003. Choosing and using statistics. A biologist’s guide. 2nd ed. Blackwell, London. Ismawan T. 2006. Influence of the differences in type and depth of attractor settlement on the squid eggs attachment. Thesis, Institut Pertanian Bogor, Bogor. [Indonesian] Kaiser HF. 1960. The application of electronic computer to factor analysis. Educ Psychol Measur 20: 141-151. Lindgren AR. 2010. Molecular inference of phylogenetic relationships among Decapodi formes (Mollusca: Cephalopoda) with special focus on the squid Order Oegopsida. Mol Phylogenet Evol 56: 77-90. Matthews WJ. 1998. Patterns in freshwater fish ecology, Chapman and Hall, USA. Okutani T, Odor RK, Kuodera T. 1993. Recent Advances tn Fisheries Biology. Tokai University Press, Tokyo. Pinheiro A, Teixeira CM, Rego AL, Marques JF, Cabral HN. 2005. Genetic and morphological variation of Solea lascaris (Risso, 1810) along the Portuguese coast. Fish Res 73: 67-78. Prioli SMAP, Prioli AJ, Júlio Jr HF, Pavanelli CS, et al. 2002. Identification of Astyanax altiparanae (Teleostei, Characidae) in the Iguaçu River, Brazil, based on mitochondrial DNA and RAPD markers. Genet Mol Biol 25: 421-430. Schindler I, Schmidt J. 2006. Review of the mouthbrooding Betta (Teleostei, Osphronemidae) from Thailand, with descriptions of two new specie. Zeitschrift fur Fischkunde 8: 47-69 Tehranifard A, Dastan K. 2011. General morphological characteristics of the Sepia pharaonis (cephalopoda) from Persian gulf, Bushehr region. Proc Int Conf Biomed Eng Technol 11: 120-126. Turan C. 1999. A note on the examination of morphometric differentiation among fish populations: the truss system. Turkish J Zool 23: 259-263.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 147-161

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150206

Short-term abandonment of human disturbances in Zagros Oak forest ecosystems: Effects on secondary succession of soil seed bank and aboveground vegetation 1,♥

1

2

MEHDI HEYDARI , DAVID POTHIER , MARZBAN FARAMARZI1, JAVAD MERZAEI1

Department of Forestry and Rangeland Faculty of Agriculture and Natural Resources, Ilam University, Iran. Tel.: +988412227015, Fax.: +988412227015, ♥email: m_heydari23@yahoo.com. 2 Centre d’étude de la forêt (CEF), and Département des sciences du bois et de la forêt, Pavillon Abitibi-Price, 2405 rue de la Terrasse, Université Laval, Québec, QC G1V 0A6, Canada. Manuscript received: 13 April 2014. Revision accepted: 13 May 2014.

ABSTRACT Heydari M, Pothier D, Faramarzi M, Merzaei J. 2014. Short-term abandonment of human disturbances in Zagros Oak forest ecosystems: Effects on secondary succession of soil seed bank and aboveground vegetation. Biodiversitas 15: 147-161. Zagros Oak forests in the west of Iran have been degraded by anthropogenic activities during many years and to fight against this degradation, several management strategies have been implemented. The principal objectives this study were to identify the characteristics of the soil seed bank and the aboveground vegetation that were affected by degradation and short-term abandonment of human disturbances and evaluate the potential of the soil seed bank to restore the degraded types after short-term conservation management. For that, we compared three types of Zagros forest ecosystem with different management regimes: (i) Long term disturbed type as LDT (also used and disturbed at the present), (ii) Short-term abandonment of human disturbances as SAD (5 years without human disturbances) and an undisturbed control or C (iii). We selected three replicates or stands per type. In the aboveground vegetation (ABV), 115, 72 and 51 species were recorded in C, SAD and LDT types, respectively, whereas in the soil seed bank (SSB) flora, 33, 19 and 12 plant taxa were observed in C, SAD and LDT types, respectively. The percentage of annuals increased in ABV and decreased in SSB with increasing site degradation with human activities such as animal husbandry in the forest edges. The percentage of perennial and biennial herbs decreased in ABV and increased in SSB with increasing site degradation. The Shannon index of the SSB decreased with increasing site degradation. The average seed density in the SAD type was significantly larger than that of the LDT type. DCA analysis showed that the seed bank flora of SAD and LDT types were relatively similar and differed from that of the C type. This indicates that a full recovery of degraded type in the oak forest ecosystem in the Zagros region cannot be based only on the soil seed bank present at the beginning of the protection period while a more complete recovery may require a longer period of protection. Key words: Disturbance, oak forests, secondary succession, soil seed bank, Zagros.

INTRODUCTION A vast area of the Zagros Mountain ranges, in the west of Iran, is covered by typical vegetation. These semi-arid forests have a major influence on the water supply, soil conservation, climate alteration and socio-economical balance of the entire country. These forests are currently considered as degraded because of firewood production, land-use change (e.g. conversion of forest into agricultural land) and livestock feeding (Sagheb Talebi et al. 2004). The vegetation of Zagros forests includes several rare plant species and many of them (186 species of tree, shrub and herbaceous) are endangered by anthropogenic activities. In addition, human activities can influence a variety of other ecological characteristics including plant richness, diversity and communities (Angermeier and Karr 1994; Ito et al. 2004). To prevent this degradation, several management strategies, such as traditional management and long-and short-term enclosure, have been implemented in this region

(Ghazanfari et al. 2004; Adeli et al. 2008; Bassiri and Iravani 2009; Zandebasiri et al. 2010). In this regard, the identification of characteristics that are directly influenced by degradation and management can provide a useful tool for detecting human activities, adjusting forest management, and improving ecosystem understanding. Floristic studies can form the basis for environmental measures through the determination of regional vegetation potential as well as protection of native vegetation and endangered species (Stace 1989; Ferrari et al. 1993). Despite the important role of soil seed banks in the composition of different plant communities, and thus in their conservation (Wisheu and Keddy 1991; Wagner et al. 2003), the floristic studies in Zagros forests have only focused on aboveground vegetation (Basiri and Karami 2006; Akbarzadeh et al. 2007; Abasi et al. 2009; Heydari et al. 2009; Arekhi et al. 2010). Indeed, no studies dealing with soil seed banks were conducted in Zagros and, as a consequence, the potential of the lasting seed reserve in the soil for reducing the risk of local extinction of vulnerable


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species is still unknown (Aparicio and Guisande 1997), especially after site degradation and management. Yet, the composition of the soil seed bank is particularly important for the vegetation communities appearing under different management regimes (Fourie 2008; Hu et al. 2013). While plant community characteristics were observed to change under different management and disturbance histories (Dupouey et al. 2002; Takafumi and Hiura 2009; Tárrega et al. 2009; Beguin et al. 2011), it is likely that soil seed banks changed as well. The dynamics of soil seed banks can thus potentially play an important role in improving ecosystem management (Luzuriaga et al. 2005). Soil seed banks can be particularly important to evaluate the degree of degradation and the recovery potential of degraded ecosystems (Snyman 2004; Scott et al. 2010) such as that of the sensitive ecosystem of Zagros. Indeed, the characteristics of aboveground vegetation and soil seed bank, as well as traits such as composition, life form, seed density, similarity, and biodiversity, can be affected by site degradation and management (Bekker et al. 1997; Tessema et al. 2012). The floristic characteristics of both the established vegetation and the soil seed bank, and their relationship under different management regimes and degree of degradation has been compared in different regions of the world (López-Mariño et al. 2000; Lindner 2009; Tessema et al. 2012; Martinez et al. 2009). The results of these studies generally indicate that the soil seed bank is a good predictor of future emerging vegetation following disturbances and can thus be used to assess the degree of degradation of affected sites. The duration of conservation management is another important characteristic to consider in promoting ecosystem recovery after degradation. Because the socioeconomic conditions of people living in some regions such as Zagros, who are very dependent on the state of the ecosystem, it is important to pay attention to the link between the duration of conservation management and people activities. The aim of the present study was thus to examine the influence of degradation and short-term conservation management on the floristic composition of

Figure 1. Location of the study site in Ilam city, Ilam province of Iran

both the established vegetation and the soil seed bank. With these results, we will be able to determine which species groups are most represented in each case and thus evaluate the potential of the seed bank in the restoration of the degraded region in Zagros forests after short-term conservation management.

MATERIALS AND METHODS Site description This study was carried out in the Zagros forests, west of Iran (Figure 1). Three types of Zagros forest ecosystems with different management regimes were compared: (1) Long term disturbed type as LDT (also used at the present), (2) Short-term abandonment of human disturbances as SAD (5 years without human disturbances) and an undisturbed control or C (3). We selected three replicates or stands per Zagros type (three replicates, stands or sites of each type, nine independent stands in total, the three sites of each management type were not clustered together). The dominant tree species of these forests was oak (Quercus persica Jaub. & Spach) which covered more than 90% of the study area. In addition, all types were characterized by the same conditions in terms of physiography (slope, aspect and altitude). These areas are characterized by a flat topography and their elevations range from 1000 to 1250 m (maximum height difference between these types was about 150 meters). Average annual precipitations in the study area are 590 mm while mean annual temperature is 17 °C. According to personal communication with experts and natives as well as to aerial photographs taken in 1965, The land cover of all stands were similar 50 years ago and were covered by similar dense forests. However, since that time, the rapid increase in human population promoted the intensification and the concentration of agriculture in many areas as well as animal husbandry in residual forests of SAD and LDT types. For example, several nomad populations become sedentary and settled on the edges and in the forest of SAD


HEYDARI et al. – Human disturbances in Zagros oak forest, Iran

and LDT types. Five years ago, the SAD type was protected by the Office of Natural Resources of Ilam city to prevent the entry of livestock, to exclude agriculture and animal husbandry in the forest edges, and to block road access to forests. The LDT type is still not protected and is considered as a damaged area with application of agriculture and animal husbandry. On the other hand, the C type is one of the least disturbed areas in Zagros forests and any disorder has never been recorded. Accordingly, we did not observe signs of degradation in this type during our vegetation sampling. Above-ground vegetation (ABV) sampling The releve method of Braun-Blanquet (1932) was used for vegetation sampling (Muller-Dombois and Ellenberg, 1974). Since the objective was not to characterize the Zagros ecosystems exhaustively but to compare them, a similar surface was studied, located in the centre of each stand, using a systematic sampling method. Two perpendicular transects of about 40 m were established in each stand and a quadrate of 1 m2 was used as sampling unit. Fifteen quadrates were studied in each stand (seven in each transect and one in the centre), the first one randomly placed during the peak period of vegetation cover, i.e. during June 2012. All the species present in each quadrate were recorded, quantifying their abundance as a cover percentage (visually estimated always by the same researchers, so that the bias, if it exists, is similar in all the stands). Cover values higher than 100% were due to species superposition (Tárrega et al. 2009). Plant samples were collected in June 2012 and were identified using the available literature (Parsa 1943-1950; Ghahreman 1975-2000; Masoumiramak 1986-2000), and deposited in the herbarium of the Faculty of Forestry of the University of Ilam, Iran. The life forms were recognized based on Raunkiaer’s classification (Raunkiaer 1934). The phytocorya distribution of plants was made according to Zohary (1973) and Takhtajan (1986). Soil seed bank (SSB) sampling Three soil samples for seed bank (randomly collected within each sample plot each with the dimensions of 400 cm2 (20×20) and a depth of 5 cm) analysis were collected from the same sampling areas as those of the plots used for above-ground vegetation. Sampling was carried out in early spring 2012, i.e. after the end of the germination period but before the dispersion of new seeds for most species. The litter layer was included in the soil samples because this layer may contain a high number of seeds (Leckie et al. 2000). Each sample was separated into two collection bags, the organic LFH (litter-fibric-humic) material and the mineral soil, and was then stored fresh in a refrigerator, in the dark at 3-4°C for three months to cold stratify the seeds. The soil samples were passed through a 4-mm sieve to exclude coarse stones and plant fragments, and excluded material was inspected visually for large seeds and fruits. A known volume of sieved sample soil was spread as a 5-cm deep layer overlying sterilized coarse sand in 40 × 20 cm germination trays. Leaf litter was shaken and the seeds present were added to the soil samples (Leckie et al. 2000).

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Forty five seed trays (for each type and totally 140) containing only sterilized sand were placed among the sample trays to test for contamination by local seeds. In the course of the germination test, no seedlings were found in these control trays. The germination trays were placed in a greenhouse at 20-25 °C where they were submitted to natural light conditions and were regularly watered with tap water from above with a fine spray. Emerging seedlings were identified, counted and removed or replanted (and grown) for later identification. Soil samples were maintained and checked weekly for emerging seedlings for approximately 1 year, since a shorter period of study could result in an underestimation of the persistent seed bank (Baskin and Baskin 1998). For each plot, the species composition and mean density (number of seeds/m2) were determined. Biodiversity computation For each plot, species richness, diversity and evenness in the above ground vegetation and in the soil seed bank were determined using Magurran (Equation 1), Shannon (Equation 2), and Pielou indices (Equation 3) (Ludwig and Reynolds 1988; Kent and Coker 1994). As proposed by Magurran (1988), the total number of species was used as a richness index since it is considered to be one of the best indices of species richness (Kent and Cooker 1994). Diversity and evenness indices of the soil seed bank were based on species abundance (density). However, in the case of aboveground vegetation, these indices were based on species cover. Magurran species richness: D=S Shanon diversity index:

S

........................... [1]

H    pi ln pi

................. [2]

i 1

Pielou evenness index: E  H  ln S

........................ [3]

Where pi= Ni/N, is the number of individuals of species i, N is total number of individuals of all species present, and S is the number of species present. Data analyses The total number of seedlings germinating per tray was summed for each plot and used for data analyses. Seedling totals were expressed as seed density per m2. Biodiversity indices computed from the seed bank and the above-ground vegetation samples of the three types were compared using ANOVA and Duncan’s multiple comparison test (DiazVilla et al. 2003; Leicht-Young et al. 2009). Residuals were examined by Levene and Kolmogorov-Smirnov tests to verify that the assumption of homogeneity of variance and normality, respectively, was met for both the soil seed bank and vegetation data. To determine the characteristic genera of each stand or type, we used a cluster analysis with the indicator method of Dufrene and Legendre (1997). This method calculates an indicator value (IV) for each genus in predefined clusters (like the clusters identified by a cluster analysis). It is especially suited for identifying indicator taxa independently of the plant community as a whole (Dufrene


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and Legendre 1997; McGeoch and Chown 1998). This method gives an integrated measure of the relative mean abundance and the relative frequency of the studied genera in each cluster and is calculated as follows:

................................ [4] Where Aij (relative mean abundance) is the mean number of individuals of genus i in cluster j divided by the mean number of individuals of genus i in cluster j plus the mean number of individuals of genus i outside cluster j; Bij (relative frequency) is the number of locations in cluster j where genus i is present divided by the total number of locations in cluster j; IVij is the relative mean abundance of genus i in cluster j multiplied by the relative frequency of genus i in cluster j multiplied by 100%. Genera that are weakly associated with a cluster because they are either not abundant or not present in all the locations within that cluster will score a low IV. Only genera that have both a high mean abundance and are present in the majority of locations of a cluster will score a high IV for that particular cluster. IV values can vary between 0 and 100%, with 0% indicating no association with a cluster, while 100% indicates that the genus was found in all locations of that particular cluster, and was absent in all other locations outside that cluster. To test whether the observed IV of a genus in a cluster was significantly higher than could be expected based on a random distribution of individuals over the locations, the observed IV was compared with 999 randomly generated IV values. These random IV values were generated with a random reallocation procedure within which the number of individuals per genus per location was randomly reshuffled over the locations (Dufrene and Legendre 1997). If the observed IV of a genus in a cluster fell within the top 5% of the random IV values (sorted in decreasing order), it was considered to deviate significantly from the expected random mean, i.e. the genus had a significantly higher IV than expected. The similarity of the seed bank flora to the aboveground flora was determined by calculating Jaccard's similarity coefficient (IJS) between paired sample plots for which both seed bank and aboveground species presence/absence data were available:

IJ S  2C 2C  A  B  .......................................... [5] Where, C refers to the number of species common to both the seed bank and the aboveground vegetation, A and B represent total number of species detected in the seed bank and the corresponding above-ground vegetation, respectively (Kent and Coker 1994). Compared with several other similar indices, Jaccard's coefficient is robust and unbiased even at small sample sizes (Ludwig and Reynolds 1988). The differences in similarity between seed bank and aboveground species among the three types were also investigated using ANOVA. To compare the composition and abundance of species in the aboveground vegetation and in the soil seed bank, a

multivariate ordination was conducted using Detrended Correspondence Analysis (DCA) (Hill and Gauch 1980). DCA was used to examine the variation in the plant species composition and was applied to the species relative abundance data. The relative abundance of species in the seed bank and the aboveground vegetation was calculated as the number of seedlings (or abundance) of one species divided by the total number of emerged seedlings (or total abundance) of all species per quadrate. Prior to analysis, seed bank density data and original cover value of vegetation data were separately adjusted by maximum value modification to prevent any bias from the species with high values (i.e. seed bank density or cover value). By this adjustment, seed bank densities and cover percentages were transformed to values in the range of 0 to 1 (McCune and Mefford 1999). To avoid artifacts arising through under-sampling of less frequent taxa in the seed bank, only taxa that were found in three or more plots were included in the DCA analysis. Rare species were down weighted to reduce distortion of the analysis. Following this procedure, sample plots were ordinated to obtain the pattern of variation in the aboveground vegetation and seed bank. For ordination of the soil seed bank and aboveground vegetation data, CANOCO 4.5 was used (ter Braak and Smilauer 1998). Yates-corrected χ2 test was performed to compare seed bank floristic composition with the standing vegetation (Arriaga and Mercado 2004).

RESULTS AND DISCUSSION Aboveground vegetation characteristics Flora The aboveground vegetation was composed of a total of 115, 72 and 51 species, belonging to 80, 52 and 38 genera and 26, 21 and 16 families in C, SAD and LDT types, respectively. Compositae (12, 17 and 18 species in C, SAD and LDT types, respectively) was the most frequently observed family whereas Centaurea (6 species), Centaurea (6 species) and Euphorbia (5 species) were the most frequently observed genus in C, SAD and LDT types, respectively (Table 1, Figure 2). Life forms and growth forms of ABV Hemicryptophytes and therophytes were the dominant life form in all types. The life form spectrum of plant species was as follow: Hemichryptophyte 46% and therophyte 37% in C type, hemichryptophyte 49% and therophyte 35% in SAD type, and hemichryptophyte 41% and therophyte 41% in LDT type (Figure 3). Of the 115 species in C type, 47% were perennial forbs, 35% were annual forbs, and 5% were biennial forbs. There was 47%, 33% and 5% of perennial forbs, annual forbs and biennial forbs in SAD type. Of the 51 species in LDT type, 37% were perennial forbs, 38% were annual forbs, and 8% were biennial forbs. In other words, forbs were the largest group in all types. Annual grasses in LDT type were 2 to 3 times more numerous than in C and SAD types. The proportion of perennial forbs tended to decrease with increasing site degradation, i.e. from C to SAD to LDT types (Figure 4).


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* * * * * * * * * * * * * * * * * *

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* * *

* * *

*

*

*

*

*

*

* *

* * * * * * * * *

* * * * * * * * * * * * *

Seed bank * *

* * *

*

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* * * * *

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* * * * * * * * * * * * * * * *

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Growth form

*

C Aboveground

Seed bank

Aboveground

SAD

Llife form

Acantholimon bromoifolium Boiss. Achillea aleppica DC. var. aleppica Alcea kurdica (Schlesht). Alef Allium affine Ledeb. Allium stamineum Boiss. Amygdalus inflata Spach Anemone biflora DC. Aristolochia olivieri Collegno in Boiss. Artemisia vulgaris L. Asperula glomerata (M. B.) Griseb. Astragalus (Incani) abnormalis (Rech. f.) Astragalus (Leucocercis) curviflorus Boiss. Astragalus (Hymenostegia) ferruminatus Maassoumi Astragalus (Alopecuroidei) kurdaicus Boiss. & Noe Astragalus ovinus Boiss. Asyneuma cichoriiforme (Boiss.) Bornm. Bongardia chrysogonum L. Bromus danthoniae Trin. Bromus sterilis L. Bromus tectorum L. Bromus tomentellus Boiss. Callipeltis cucullaria (L.) Stev. Cannabis sativa L. Capsella bursa-pastoris (L.) Medicus Onopordum carduchorum Bornm. & Beauv Cardaria draba (L.) Desv. Carthamus oxyacantha M. B. Carthamus glaucus L. subsp. glaucus Centaurea behen L. Centaurea bruguierana (DC.) Hand-Mzt. Centaurea iberica Trev. ex. Spreng. Centaurea koeieana Bornm. Centaurea virgata Lam. Subsp. squarrosa (Willd.) Gugler Centaurea intricata Boiss. Subsp. kermanshensis Wagenitz Cephalaria dichaetophora Boiss. Cerastium inflatum Link ex Desf. Chardinia orientalis (L.) O. Kuntze Chenopodium album L. Chenopodium botrys L. Cichorium pumilum Jacq. Cirsium congestum Fisch. & C. A. Mey. ex. DC. Cirsium spectabile DC. Conyza canadensis (L.) Cronq. Conyzanthus squamatus (Spreng.) Tamamsch. Convolvulus betonicifolius Mill. Coronilla scorpioides (L.) W.D.J. Koch Cousinia stenocephala Boiss. Cousinia cylindracea Boiss. Cousinia jacobsii Rech. F. Cousinia pichleriana Bornm. Ex Rech. F. Crataegus pontica C. Koch Crepis kotschyana (Boiss.) Boiss. Dianthus macranthoides Hausskn. ex Bornm. Dianthus strictus Banks & Soland. var. strictus Echinochloa crus-galli (L.) P. Beauv. Echinops mosulensis Rech. F. Eremostachys macrophylla Montbr. & Auch. Eryngium billardieri F. Delaroche Eryngium noeanum Boiss. Euphorbia macrostegia Boiss. Euphorbia petiolata Banks & Soland. Euphorbia aleppica L.

Seed bank

Species

Aboveground

LDT

Phytogeography

Table 1. Floristic composition, life-forms, growth forms and Phytogeography of soil seed bank and above-ground vegetation of three types

Family

IT IT IT IT IT IT IT IT IT IT IT IT IT IT IT IT M, IT Cosm IT, ES Cosm IT IT, SS Cosm Cosm IT M IT, SS/M IT M/IT IT IT,M IT IT IT Es IT IT Cosm IT IT, ES, M ES IT IT IT, ES, SS IT IT IT IT IT Cosm Cosm IT IT-ES IT PL IT IT IT IT IT IT,M IT

He He He Ge Cr Ph Ge He Ph Th He He Ch He He He Ge Th Th Th He Th Th He Ch He Th Th He He He He He He Th Th Th Th Th He Ge Ge Th He He He He He Th Th Ph Th He He Th He He He He He Th Th

P-Forb P-Forb P-Forb P-Forb P-Forb Shrub P-Forb P-Forb P-Forb P-Forb P-Forb P-Forb P-Forb P-Forb P-Forb B-Forb A-Forb P-Grass A-Grass A-Grass P-Grass A-Forb A-Forb A-Forb B-Forb A-Forb A-Forb A-Forb P-Forb A-Forb A-Forb P-Forb P-Forb P-Forb A-Forb A-Forb A-Forb A-Forb A-Forb A-Forb P-Forb P-Forb A-Forb P-Forb P-Forb A-Forb P-Forb P-Forb B-Forb A-Forb Tree A-Forb P-Forb P-Forb A-Grass A-Forb P-Forb P-Forb P-Forb P-Forb A-Forb A-Forb

Plumbaginaceae Compositae Malvaceae Liliaceae Liliaceae Rosaceae Ranunculaceae Aristolochiaceae Compositae Rubiaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Campanulaceae Podophyllaceae Gramineae Gramineae Gramineae Gramineae Rosaceae Canabaceae Cruciferae Compositae Cruciferae Compositae. Compositae Compositae Compositae Compositae Compositae Compositae Compositae Dipsaceae Caryophyllaceae Compositae Chenopodiaceae Chenopodiaceae Compositae Compositae Compositae Compositae Compositae Convolvulaceae Papilionaceae Compositae Compositae Compositae Compositae Resedaceae Compositae Caryophyllaceae Caryophyllaceae Gramineae Compositae Labiatae Umbelliferae Umbelliferae Euphorbiaceae Euphorbiaceae Euphorbiaceae


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Euphorbia denticulata Lam. . * * IT He P-Forb Euphorbiaceae * Euphorbia macroclada Bioss. * * IT He P-Forb Euphorbiaceae * Ferulago angulata (Schlecht.) Subsp. cardochorum * IT He P-Forb Umbelliferae * (Boiss. & Hausskn.) Ferulago macrocarpa (Fenzl) Boiss. * IT He P-Forb Umbelliferae * Galium aparine L. * PL Th A-Forb Rosaceae Gladiolus segetum Ker-Gawl. * IT Ge P-Forb Irideaceae Glycyrrhiza glabra L. * IT Ch P-Forb Papilionaceae Gundelia tournefortii L. * * IT He A-Forb Compositae * Gypsophila pallida Stapf var. pallida * IT He P-Forb Caryophyllaceae * Hedysarum wrightianum Aitch. & Baker * IT Th A-Forb Papilionaceae Helianthemum salicifolium (L.) Miller * * * IT-ES Ch P-Forb Cistaceae Heliotropium denticulatum Boiss. & Hausskn IT Ch A-Forb Boraginaceae * * Heliotropium europaeum L. * IT,ES Th A-Forb Boraginaceae Heliotropium noeanum Boiss * * IT Th A-Forb Boraginaceae Heteranthelium piliferum (Banks & Soland.) Hochst Th P-Grass Gramineae * * * * IT,ES Hordeum bulbosum L. * * IT,M,ES Cr P-Grass Gramineae Hordeum spontaneum C. Koch * * IT,M Th A-Grass Gramineae * Hypericum helianthemoides (Spach) Boiss. * IT He P-Forb Hypericaceae * Lactuca serriola L. * IT,ES He B-Forb Compositae Malabaila porphyrodiscus Stapf & Wwttst. * He P-Forb Umbelliferae Marrubium vulgare L. * IT, M He P-Forb Labiatae * Marrubium cuneatum Russel * IT He P-Forb Labiatae Medicago rigidula (L.) All * * * IT PL A-Forb Papilionaceae Medicago polymorpha L. * * * * IT,M Th A-Forb Papilionaceae Medicago radiata L. * * * * * M,IT Th A-Forb Papilionaceae Mindium laevigatum (Vent.) Rech. f. & Schiman-Czeika He P-Forb Campanulaceae * * * IT Muscari tenuiflorum Tausch IT Ge P-Forb Liliaceae * * Nigella oxypetala Boiss. * * IT He A-Forb Ranunculaceae Noaea mucronata (Forssk.) Aschers. et Schweinf. IT Ch P-Forb Chenopodiaceae * * * Onosma hebebulbum DC. * IT He P-Forb Boraginaceae * Onosma microspermum Stev * * IT He P-Forb Boraginaceae * Onosma sericeum Willd. * IT He P-Forb Boraginaceae * Ornithogalum brachystachys C. Koch * IT,M Cr P-Forb Liliaceae * Onobrychis haussknechtii Boiss. * IT He P-Forb Papilionaceae Papaver dubium L. * * * IT Th A-Forb Papaveraceae Phlomis bruguieri Desf. * IT He P-Forb Labiatae * Phlomis olivieri Benth * IT He P-Forb Labiatae * Picnomon acarna (L.) Cass. * * * IT,ES Th A-Forb Compositae * Poa bulbosa L. * * IT,ES,M,SS Cr P-Grass Gramineae * Prangos uloptera DC. * * * IT He P-Forb Umbelliferae Quercus brantii Linddl * * * IT Ph Tree Fagaceae Ranunculus arvensis L. * IT,M Th A-Forb Ranunculaceae * Reseda lutea L. * IT,M,ES He B-Forb Resedaceae Salvia bracteata Banks & Soland IT He P-Forb Labiatae * * Salvia palaestina Benth. * IT He P-Forb Labiatae Scandix pecten-veneris L. * IT,SS Th A-Forb Umbelliferae * Senecio vernalis Waldst.& Kit. * * IT,ES,M Th A-Forb Compositae Silene chlorifolia Sm. * * IT-ES He P-Forb Caryophyllaceae * Silene longipetala Vent. * * * IT He B-Forb Caryophyllaceae * Smyrniopsis aucheri Boiss. * IT He P-Forb Umbelliferae * Stachys inflata Benth. * IT Ch P-Forb Labiatae * Stachys kurdica Boiss. & Hohen. * * IT He P-Forb Labiatae * Taeniatherum crinitum (Schreb.) Nevski * * * M,IT Th A-Grass Gramineae Taraxacum montanum (C.A. Mey) DC. IT He P-Forb Compositae * * * Teucrium polium L. * * IT,M He P-Forb Labiatae * Torilis tenella (Delile) Reichenb. * * IT,M Th A-Forb Umbelliferae Torilis leptophylla (L.) Reichenb. * IT,M Th A-Forb Umbelliferae * * Trifolium echinatum M. B. * * IT Th A-Forb Papilionaceae * Trifolium scabrum L. * * * IT Th A-Forb Papilionaceae Trifolium purpureum Loisel. var. purpureum * * IT Th A-Forb Papilionaceae Trigonella elliptica Boiss. * * * IT Th A-Forb Papilionaceae Tulipa montana Lindl. * IT,M Cr P-Forb Liliaceae Turgenia latifolia (L.) Hoffm. * * IT,ES,M Th A-Forb Umbelliferae Tragopogon longirostris Bisch. * * IT He B-Forb Compositae Urospermum picroides (L.) Desf. * * * M,IT Th A-Forb Compositae Vaccaria grandiflora (Fisch. & DC.) Jaub. & Spach * IT Th A-Forb Caryophyllaceae Velezia rigida L. * * * IT Th A-Forb Caryophyllaceae Vicia peregrine L * IT-M Th A-Forb Papilionaceae Zoegea leptaurea L. * * IT Tr A-Forb Compositae Note: IT: Irano-Turanian, M=Meditrrranean, Es=Euro-Siberian, SS=Saharo -Sindian, COSM=Cosmupolite, Th=Therophyte, He= Hemicryptophyte, Cr=Cryptophyte, Ch=Chamaephyte, Ph=Phanerophyte, A=Annual, B=Biennial, P=Perennial, F=Forb, G=Grass. *: Presence


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Figure 2. The percentage number of species in each plant family in ABV (A) and SSB (B) types.

Phytogeography of ABV The Phytogeographical elements in C type included: Irano-Turanian (70%), Irano-Turanian/Mediterranean (13%), Irano-Turanian/Euro-Siberian (6.8%) and Cosmopolitan (4%) (Figure 4). Irano-Turanian (65%), Irano-Turanian/ Mediterranean (9%), Irano-Turanian/Euro-Siberian (3.9%) and Cosmopolitan (8%) were the dominant Phytogeographical elements in SAD type while the phytogeographical elements of the LDT type were dominated by Irano-Turanian (53%), Irano-Turanian/Mediterranean (9%), Irano-Turanian/EuroSiberian (6%) and Cosmopolitan (11%). Hence, the IranoTuranian and Irano-Turanian/Mediterranean were the dominant phytogeographical elements in all three types. However, the percentage of Irano-Turanian decreased from C to SAD and then to LDT types. Conversely, the proportion of Cosmopolitan and Pluriregional increased with increasing site degradation, i.e. from C to SAD to LDT types (Figure 5).

Soil seed bank characteristics Flora The soil seed bank flora comprised 33, 19 and 12 plant taxa belonging to 25, 18 and 9 genera, and 14, 11 and 11 families in C, SAD and LDT types, respectively. In C type, the most frequently observed species were in the following families: Papilionaceae (7 species, 20%), Compositae (7 species, 20%) and Gramineae (6 species, 17%). Bromus and Trigonella, with 12 and 9% of the total number of species, were the largest genus in this type. In the SAD type, Compositae (6 species, 30%) and Medicago (11%), were the most frequently observed family and genus, respectively. Compositae (3; 30%) and Papilionaceae (3 species; 30%) were also the dominant families in the LDT type. Medicago and Bromus (16.7% each) had the highest abundance in this type (Table 1, Figure 2).


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Figure 3. The life form spectrum of plant species for aboveground vegetation and soil seed bank in (C), (SAD) and (LDT) types. Th: Therophytes, He: Hemicryptophytes, Ph: phanerophytes, Ge: Geophytes, Ch: Chamephytes and Cr: Cryptophytes.

Figure 4. Percentage number of species in vegetation and soil seed bank (0-10 cm) for different types according to growth forms (P: perennial A: annual and B: biennial).

Figure 5. Phytogeographical elements in this region. IT = Irano-Turanian, M= Meditrrranean, Es= Euro-Siberian, SS = Saharo-Sindian, Cosm= Cosmupolite, PL= Pluriregional.


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Figure 6. Percentage of species belonging to different life forms in aboveground vegetation and soil seed bank

Life forms and growth forms of SSB Therophyte was the dominant life form of plant species in the soil seed bank of all the studied sites. The proportions of the principal life form of plant species in C, SAD and LDT types, respectively, were 65%, 50%, and 50% for therophyte and 26%, 40%, and 40% for hemichryptophyte. Contrary to therophytes, the occurrence of hemichryptophytes was higher in LDT type than in other types. Camephytes also increased from C to LDT types (Figure 3). As for the growth forms of the 34 species in C type, 60% were annual forbs, 11% were perennial forbs, and 11% were annual grasses. There were 50% and 30% of annual forbs and perennial forbs, respectively, in the SAD type. Also, of the 12 species in the LDT type, 50% were annual forbs, 25% were perennial forbs, and 16% were perennial grasses. The C type had more annual forbs than the two other types. However, the proportion of perennial forbs was higher in the soil seed bank flora of SAD and LDT types as compared to the C type. Perennial grasses increased in LDT type in compared with C and SAD types. Grasses in LDT type were less than C type (Figure 4).

Phytogeography of SSB The phytogeographical elements in C type included Irano-Turanian (53%), Irano-Turanian/Mediterranean (15%), and cosmopolitan (9%) while Irano-Turanian (36%), IranoTuranian/Mediterranean (30%), Irano-Turanian/ EuroSiberian (11%) and Irano-Turanian/Euro-Siberian/SaharaSindian (11%) were dominant phytogeographical elements in the SAD type. In the C type, Irano-Turanian (32%), Irano-Turanian/Mediterranean (18%), Irano-Turanian/ Euro-Siberian/Sahara-Sindian (15%), Irano-Turanian/EuroSiberian/Mediterranean (15%) and Cosmopolitan (7%) were the dominant phytogeographical elements. Overall, the Irano-Turanian and the Irano-Turanian/Mediterranean were the dominant phytogeographical elements. The IranoTuranian elements in soil seed bank decreased from C to SAD and to LDT type. The proportion of Cosmopolitan was higher in C than in LDT site. Sahara-Sindian elements were only present in SAD and LDT types, with a highest percentage in C type (Figure 5).

Table 2. Number of species belonging to different growth forms recorded in the types. Stand diversity is the cumulative richness of the above ground vegetation and the soil seed bank. Life form Trees Shrubs Perennial and biennial herbs Annuals Vegetation diversity Site diversity (ABV+SSB)

C ABV

C SSB

2 (1.7%) 1 (0.85%) 69 (58.9%) 43 (38.46%) 115 148

2 (5.88%) 0 8 (23.5%) 23 (70.5%) 33

SAD ABV 2 (2.7%) 1 (1.35%) 41 (55.4%) 28 (40.5%) 72 91

SAD SSB 0 0 7 (36.84%) 12 (63.15%) 19

LDT ABV

LDT SSB

1 (1.96%) 0 25 (49.01%) 25 (49.01%) 51 63

0 0 5 (41.66%) 7 (58.33%) 12

Table 3. Means ± SE of plant biodiversity indexes and average seed density of the different types. Diversity indexes and Seed bank seed density & vegetation Magurran richness Seed bank Vegetation Pielou evenness Seed bank Vegetation Shanon diversity Seed bank Vegetation Seed density

LDT 2.11 ±0.11 c 16.11 ±0.42c 0.61 ±0.002 b 0.76 ±0.02b 0.37 ±0.04 c 2.41 ±0.03 b 13±.0.95c

Sites SAD 7.14 ±0.19 b 24.12 ±0.73b 0.89 ±0.001 a 0.73 ±0.003a 1.46 ±0.04 b 2.91 ±0.01 b 48.8 ±1.5b

C 16.17 ±0.23 a 39.43±.2.13a 0.87 ±0.004 a 0.76 ±0.004a 2.61 ±0.01 a 3.25 ±0.04 a 196.32 ±4.28a

F 320 125 52 4.2 294 79 325

Sig. <0.01 <0.01 <0.01 <0.05 <0.01 <0.01 <0.01


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The proportions of species belonging to different life forms indicate that Perennial and biennial herbs of ABV were more abundant than in the SSB whereas annuals dominated the SSB of all types. The abundances of perennial and biennial herbs in ABV decreased from C to SAD to LDT while the reverse was observed in SSB (Figure 6 and table 2). The survey of site diversity (ABV+SSB) showed that the C type was more diversified than the other two types (Table 2). As for the annuals, their abundance in ABV decreased with increasing site degradation, i.e. from LDT to C, whereas it increased with increasing site degradation in SSB. In the case of perennial and biennial herbs, their proportion decreased with increasing site degradation in ABV while the reverse was observed in SSB (Figure 6). Diversity of ABV and SSB The Shannon diversity was significantly different among types for the soil seed bank and the aboveground vegetation. As indicated by the Magurran (S) richness and the Pielou evenness indices, differences between SSB and ABV were significant for all three types. The post hoc Duncan’s test indicated that the species richness in ABV of the C type, with 39 species, was significantly higher than the other types, followed by SAD and LDT types. The C type had the highest species richness in the soil seed bank while that of the SAD type was higher than that of LDT type. The Pielou evenness index was significantly different among sites, with C and SAD types being associated with the highest value in both soil seed bank and aboveground vegetation. The Shannon index of aboveground vegetation in C type was higher than that of the two other types which were statistically similar. On the other hand, the Shannon index of the soil seed bank in the C type was significantly higher than that of the SAD type which, in turn, was significantly higher than that of the LDT type. The mean number of seeds ranged from 13 to 196 per m2 and differed significantly among types (F=325, P<0.001). The post hoc Duncan’s test showed that the average seed density of C type was significantly higher than that of the SAD type which was significantly higher than that of the LDT type (Table 3). Important value (IV) in ABV and SSB In the C type, the highest IV values were associated with Bromus tectorum L. and Medicago radiata L while the highest IV values in the SAD type were associated with the following species: Echinops mosulensis Rech. F, Conyza canadensis (L.) Cronq, Cousinia stenocephala Boiss, Undelia tournefortii L. In the LDT type, the following species produced the highest IV values: Cirsium congestum Fisch. & C. A. Mey. ex. DC, Onopordon carduchorum Bornm. & Beauv, Scandix pecten-veneris L, Hordeum bulbosum L. and Cichorium pumilum Jacq. In the soil seed bank, the highest IV values in the LDT type were for: Papaver dubium L, Prangos uloptera, Trifolium purpureum Loisel. var. purpureum; in the SAD type: Gundelia tournefortii L, Torilis leptophylla (L.) Reichenb, Conyza canadensis (L.) Cronq, Conyza canadensis (L.) Cronq. and Echinops mosulensis Rech. F.; and in the C

type: Bromus tectorum L. and Medicago radiata L. Relationship between seed bank and vegetation The Jaccard’s similarity coefficients between the aboveground vegetation and the soil seed bank were 0.25, 0.08 and 0.089 in C, SAD and LDT, respectively, based on presence/absence data. These coefficients were different among the three types with significantly higher coefficient value associated with the C type while the SAD and LDT types were statistically similar (Table 4). For the entire ABV flora, 29 species were common to the three types. These species are recognized to be resistant to site degradation, such as: Aristolochia olivieri Collegno in Boiss, Asyneuma cichoriiforme (Boiss.) Bornm., Bromus danthoniae Trin., Bromus tectorum L, Torilis tenella (Delile) Reichenb, Taeniatherum crinitum (Schreb.) Nevski, Silene chlorifolia Sm., Silene longipetala Vent, Onosma microspermum Stev. In addition, 30 other species were only common to C and SAD types. These species are thought to be sensitive to site degradation so that they were absent from the LDT type. Some new species, such as Acantholimon bromoifolium Boiss, Allium affine Ledeb, seem to reappear in the SAD type while they were absent from the LDT type. Three species were unique to the LDT type (Cichorium pumilum Jacq, Scandix pecten-veneris L, Conyzanthus squamatus (Spreng.) Tamamsch) while 52 were unique to the C type, such as the following: Chenopodium album L, Cerastium inflatum Link ex Desf, Chenopodium botrys L, Chardinia orientalis (L.) O. Kuntze, Centaurea Koeieana Bornm, Centaurea virgata Lam. Subsp. squarrosa (Willd.) Gugler, Centaurea iberica Trev. ex. Spreng. Carthamus oxyacantha M. B, Cannabis sativa L, Asperula glomerata (M. B.) Griseb. For the entire SSB flora, five species, resistant to site degradation, were common to the three types: Medicago Cephalaria dichaetophora Boiss, polymorpha L, Helianthemum salicifolium (L.) Miller, Bromus tomentellus Boiss, and Medicago radiata L. Four of these species were annual forbs and throphytes. Moreover, four other species other species were only common to C and SAD were only common to C and SAD types, Chardinia orientalis (L.) O. Kuntze, Mindium laevigatum (Vent.) Rech. f. & SchimanCzeika, Turgenia latifolia (L.) Hoffm, Nigella oxypetala Boiss. Three species were unique to the LDT type: Papaver dubium L, Prangos uloptera DC, Trifolium purpureum Loisel. var. purpureum, and 24 were unique to the C type, such as: Crataegus pontica C. Koch, Chenopodium botrys L, Centaurea bruguierana (DC.) Hand-Mzt, Carthamus glaucus L. subsp. glaucus, Bromus tectorum L, Bromus sterilis L, Teucrium polium L, Quercus brantii Linddl, Picnomon acarna (L.) Cass., Dianthus strictus Banks & Soland. var. strictus, Echinochloa crus-galli (L.) P. Beauv, Echinops mosulensis Rech. F. Soil seed bank and aboveground vegetation species were clustered along the two ordination axes of the DCA ordination diagrams. The eigenvalues for the first two DCA axes are, 0.723 and 0.37. The ordination of ABV and SSB flora of the three types were distinct in composition and displayed clear patterns according to the particular conditions of the types (Figure 7). For aboveground


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vegetation and soil seed bank, the flora of C and SAD types separated along the horizontal axis while the flora of SAD and LDT types separated distinctly from C type along the vertical axis. According to the DCA ordination, the flora of SAD and LDT types seems closer to each other and distinct from the C type. Yates-corrected χ2 was not significant and accordingly, the presence/absence of plant species in the soil seed bank and in the aboveground vegetation is not related to each other (p>0.01) (Table 5). Species composition in aboveground vegetation and soil seed bank In all three types, most of the taxa found in the aboveground vegetation were not present in the soil seed bank. On the other hand, most of the soil seed bank taxa were found in the above-ground vegetation. These results agree with the general observations of low similarity between aboveground vegetation and persistent soil seed bank floras in forest ecosystems (Graham and Hutchings, 1988; Bakker et al. 1996), which suggest that the aboveground vegetation does not necessarily reflect the soil seed bank composition (Olano et al. 2002). This dissimilarity is reported for the first time in the Zagros

Table 5. Yates-corrected χ

Sites LDT SAD

2

Only seed bank Species richness 0 2

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forest ecosystem where similarity between aboveground and seed bank components was low in all types, and even decreased with increasing site degradation. Indeed, changes in land use may negatively affect natural ecosystems by eliminating many plant species (Steffan-Dewenter and Westphal 2008). However, results from various regions indicated that the similarity between soil seed bank and above-ground vegetation can increase (Bakker and de Vries 1992), decrease (Chaideftou et al. 2009; Tessema et al. 2012) or stay the same (Peco et al. 1998) with increasing site degradation. Table 4. Jaccard’s similarity coefficient in types, between aboveground vegetation and soil seed bank in each type Sites

Jaccard’s similarity coefficient

C ABV/ C SSB 0.25±0.03 a SAD ABV/ SAD SSB 0.08 ±0.002 b LDT ABV/ LDT SSB 0.0.89 ±0.005 b F 96 Sig 0.002** Note: Values are Mean, (n =45), Different upper-case letters represent difference significant (P < 0.05), * Significant (= 5%), ** Significant (=1%) according to Duncan test.

test result for comparisons of seed bank composition and above-ground vegetation Both seed bank and vegetation 14 16

Only vegetation species richness 119 112

Total richness 136 131

Yates corrected χ2 0.002 2.89

Nexp

Nobs

Occ. type

P -value

11 18

11 16

0 -

1 0.45

Nobs.= Observed frequency of the common occurrences, Nexp. = Expected frequency of the common occurrences, Occ. type=Occurrence type, It is positive (+) if Nobs. < N exp.and it is negative (-) if N obs.> N exp.

Figure 7. DCA Ordination of the relevés based on relative density of the soil seed bank (a) and relative percentage cover of above ground vegetation (b). The sigens are based on IV.


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In the LDT type, many species present in the seed bank were absent from the aboveground vegetation, as in the case of Bromus tomentellus Boiss, Trifolium purpureum Loisel. var. purpureum and Medicago polymorpha L. Similarly, Leck and Simpson (1987) found some species in high numbers in the seed bank that had less or no presence in the aboveground vegetation. In the SAD type, species such as Heliotropium denticulatum Boiss. & Hausskn, Salvia bracteata Banks & Soland, and Chardinia orientalis (L.) O. Kuntze, that were only present in the soil seed bank, may have been eliminated from the aboveground vegetation by damaging agents such as grazing (Ghorbani et al. 2008). The negative effect of grazing was also observed in a semi-arid Savanna of Ethiopia (Tessema et al. 2012). Conversely, the elimination of some species in the aboveground vegetation via degradation and unsuitable conditions can cause the loss of soil seed stocks over the long term (Thompson and Grime 1979; Meissner and Facelli 1999). Other reasons explaining low similarity between aboveground vegetation and soil seed bank communities include delayed germination or extended dormancy under stress (Ma et al. 2012), germination requirements, life-cycle pattern, reproductive strategy, and seed dispersal (Warr et al. 1994). The percentage of perennial species in the soil seed bank composition of the LDT type was higher than that of the aboveground vegetation community whereas this difference was much lower in the case of annuals. Accordingly, the similarity between aboveground vegetation and soil seed bank components was low in temperate grasslands dominated by perennial species (Bakker et al. 1996), but high in communities dominated by annuals, such as many early successional stages and Mediterranean grasslands (Peco et al. 1998; Ferrandis et al. 2001). In our study, the damaging agents that affected the LDT type increased the presence of annual species that are usually observed in arable land and degraded sites (Eloun et al. 2007): Onopordum carduchorum Bornm. & Beauv, Capsella bursa-pastoris (L.) Medicus, Cirsium congestum Fisch. & C. A. Mey. ex. DC, Conyza canadensis (L.) Cronq, Cichorium pumilum Jacq, and Heliotropium noeanum. Increasing annual species after site degradation and the elimination of sensitive species to grazing has also been observed in other environments (Lenzi-Grillini et al. 1996; Mengistu et al. 2005; Anderson and Holte, 1981). The establishment and reproduction capabilities of these species are likely adapted to unstable environments and are thus considered as anthropogenic species (Ghorbani et al. 2003; Eloun et al. 2007). Hemicryptophytes and therophytes were the dominant life form in all types for both SSB and ABV. These great percentages of hemicryptophytes and therophytes agree with the dominant biological spectrum of the regional climate of Zagros (Zohary 1973). Our results showed that in soil seed banks, the number of hemicryptophytes decreased with increasing degradation whereas the number of therophytes increased. Therophytes generally produce numerous small seeds that are likely less susceptible to damage and their proportion in the soil seed bank remained high even in the degraded site (Najafi tere Shabankareh

2008). Accordingly, the percentage of Therophytes was also high in the aboveground vegetation of the LDT type. Similar increasing presences of therophytes with increasing site degradation were already observed in the flora of Vienna (Jackowiak 1998) and of northern Iran (Ghahreman 2006). However, the use of the occurrence of therophytes as an indicator of the human impact on vegetation communities is limited to sites and ecosystems which include a considerable pool of this life form (Zerbe 1993). Impact of degradation on species richness and diversity The effect of site degradation on soil seed bank and aboveground vegetation species richness and diversity has been mainly studied in grasslands and to a lesser extent in forests. In most studies, both soil seed bank and aboveground vegetation species richness and diversity were found to decrease with increasing site degradation (Boutin and Jobin 1998; Kirsten and Scharer 2001; Zechmeister and Moser 2001). Some other studies showed the opposite, i.e. an increase in soil seed bank diversity following the exposure of the site to a destructive agent such as grazing (Malo et al. 2000). Diversity indices can thus be a useful tool to survey the effect of different management practices on floristic diversity (Waldhardt et al. 2003). Our results showed that species richness of the aboveground vegetation and the soil seed bank declined with site degradation, thus agreeing with the general trend. Opposite results from the literature might be due to different degradation intensities, types and duration (Lugo 1997; Chaideftou et al. 2009). There was no significant difference between LDT and SAD types in terms of aboveground vegetation diversity. Because species diversity is an indicator of sustainable forest management, we could be inclined to conclude that the short-term conservation management was not able to improve the site conditions. Accordingly, Takafumi and Hiura (2009) investigated the effects of disturbance history and environmental factors on the diversity and productivity of understorey vegetation in a cool-temperate forest in Japan and showed that species richness and the Simpson index decreased with increasing disturbance frequency. However, the soil seed bank diversity of the LDT type was lower than both the C and the SAD types, suggesting that aboveground vegetation diversity of the SAD type could exceed that of the type LDT over a longer period of time. On the other hand, the higher diversity and richness in the C type can be related to the high ecological sustainability of the region, especially in terms of soil and access to seeds, because species diversity is considered as one of the most important indices reflecting the sustainability of forest communities (Eshaghi Rad et al. 2009). Seed density The number of germinants emerging from a soil seed bank depends on the characteristics of the study sites (Meissner and Facelli 1999). Different factors can slow or stop regeneration establishment in degraded sites such as low soil fertility, soil compaction (Curtis et al. 1993; DeFalco et al. 2009), lack of seed sources or excessive distance from seed sources (CubiĂąa and Aide 2001), and depleted soil seed banks (Mukhongo et al. 2011). In our


HEYDARI et al. – Human disturbances in Zagros oak forest, Iran

case, the soil seed bank density was highest in the C type and lowest in the LDT type. Because soil seed banks partially reflect aboveground vegetation (Ren et al. 2007), the low species richness in the soil seed bank of the LDT type may partly explain the low species richness in the vegetation. Mukhongo et al. (2011) stated that species establishment from persistent seed banks is difficult in degraded areas. Similarly, Tessema et al. (2012) showed that degradation from grazing reduces seed density. Hence, the lower seed density in the LDT type could be explained by soil compaction produced by cattle. The less compacted soil of the C type could allow more seeds to be buried. Accordingly, DeFalco et al. (2009) compared seed banks between two contrasting anthropogenic surface disturbances (compacted and trenched) and adjacent undisturbed controls, and showed that seed bank density significantly increased with decreasing soil compaction. Soil seed bank and vegetation recovery The restoration of degraded lands is a topic that is receiving considerable attention in many parts of the world (Montagnini 2001). The soil seed bank can contribute to plant community dynamics following disturbance (Plassmann et al. 2009), but the low species compositional similarity between soil seed bank and aboveground vegetation in type LDT suggests that restoration of degraded sites cannot rely only on soil seed banks (Bossuyt and Honnay 2008). DCA analysis showed that the seed bank flora of SAD and LDT types were relatively similar and differed from that of the C type. This result is supported by the comparison of five pastures representing different management regimes that were clearly separated by an ordination analysis between less and more intensive management (Chocarro et al. 1989). Therefore, it can be argued that the 5-year period during which the SAD type was under protection was not sufficient to approach conditions of the C type. In some areas, short term conservation management was successful in restoring degraded sites but in other cases, even 20 years of protection failed to allow site recovery, likely because of differences in degradation severity (Basiri and Iravani 2009). The rest period has introduced as an important factor to recovery by soil seed bank (Solomon et al. 2006). As for the LDT type, the high number of perennial species found in the soil seed bank might impair the possibilities of recovery as stated by Heydari et al. (2012) in west of Iran that showed after human disturbances the percentage of perennial species in soil seed increased. They emphasized that these species remain in the soil for long periods until suitable conditions be provided. In other word due to degradation the relative balance of species is lost (Based on control site).

CONCLUSION Various characteristics of aboveground vegetation and soil seed bank such as life form, seed density, richness and diversity have been affected by site degradation. After 5 years of protection, some of these characteristics showed

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signs of recovery by diminishing their differences relative to the undisturbed type. In addition, the appearance of some species in the SAD type that were absent from the LDT type are promising. However, a full recovery of degraded sites in the oak forest ecosystem in the Zagros region cannot be based only on the soil seed bank present at the beginning of the protection period while a more complete recovery may require a longer period of protection.

REFERENCES Abasi S, Hosseini SM, Pilevar B, Zare H. 2009. Effects of conservation on woody species diversity in Oshtorankooh region, Lorestan. Iranian J For 1: 1-10. Adeli K, Jalilvand H, Yakhkeshi A, Fallah A. 2008. Evaluating of forest sustainability affected by tribal forestry (Case study: Shoul AbadLorestan, Iran). Iranian J For Poplar Res 1 (16): 23-37. Akbarzadeh M, Moghadam MR, Jalili A, Jafari M, Arzani H. 2007. Vegetation dynamic study of Kuhrang enclosure. Iranian J Range Desert Res 13 (4): 324-336. Anderson JE, Holte KE. 1981. Vegetation development over 25 years without grazing on sagebrush-dominated Rrangeland in southeastern Idaho. J Range Manag 34 (1): 25-29. Angermeier P, Karr J. 1994. Biological integrity versus biological diversity as policy directives: protecting biotic resources. Bioscience 44: 690-697. Aparicio A, Guisande R. 1997. Replenishment of the endangered Echinospartum algibicum (Genisteae, Fabaceae) from the soil seed bank. Biol Conserv 81: 267-273. Arekhi S, Heydari M, Pourbabaei H. 2010. Vegetation-Environmental Relationships and Ecological Species Groups of the Ilam Oak Forest Landscape, Iran. Caspian J Environ Sci 8 (2): 115-125. Arriaga L, Mercado C. 2004. Seed bank dynamics and tree-fall gaps in a northwestern Mexican Quercus-Pinus forest. J Veg Sci 15: 661-668. Bakker JP, de Vries Y. 1992. Germination and early establishment of lower salt-marsh species in grazed and mown salt marsh. J Veg Sci 3: 247-252. Bakker JP, Poschold P, Strykstra RJ, Bekker RM, Thompson K. 1996. Seed banks and seed dispersal: important topics in restoration ecology. Acta Bot Neerl 45: 461-490. Basiri R, Karami P. 2006. The use of diversity indices to assess the plant diversity in Mrivan, Chenareh forests. J Agric Sci Nat Res 13 (5): 12-22. Baskin CC, Baskin JM. 1998. Seeds. Ecology, Biogeography, and Evolution of Dormancy and Germination. Academic Press, San Diego. Bassiri M, Iravani M. 2009. Vegetation changes in the central Zagros 19 years after experimental enclosure. J Rangeland 2 (3): 155-170. Beguin J, Pothier D, Côté SD. 2011. Deer browsing and soil disturbance induce cascading effects on plant communities: a multilevel path analysis. Ecol Appl 21(2): 439-451. Bekker RM, Verweij GL, Smith REN, Reine R, Bakker JP, Schneider S. 1997. Soil seed banks in European grasslands: does land use affect regeneration perspective. J Appl Ecol 34: 1293-1310. Bossuyt B, Honnay O. 2008. Can the seed bank be used for ecological restoration? An overview of seed bank characteristics in European communities. J Veg Sci 19: 875-884. Boutin C, Jobin B. 1998. Intensity of agricultural practices and effects on adjacent habitats. Ecol Appl 8 (2): 544-557. Braun-Blanquet J. 1932. Plant sociology: The study of plant communities. McGraw-Hill, New York. Chaideftou E, Thanos CA, Bergmeier E, Kallimanis A, Dimopoulos P. 2009. Seed bank composition and above-ground vegetation in response to grazing in sub-Mediterranean oak forests (NW Greece). Plant Ecol 201: 255-265 Chocarro C, Fanlo R, Fillat F, Garc´ıa A, Navascués I. 1989. Comparación entre dos métodos de muestreo en prados de siega en los montes Cantábricos y el Pirineo Central español. Principales resultados. Acta Biol Mont 9: 291-300. Cubiña A, Aide TM. 2001. The effect of distance from forest edge on seed rain and soil seed bank in a tropical pasture. Biotropica 33 (2): 260-267. Curtis D, Wright T. 1993. Natural regeneration and grazing management a case study. Aust J Soil Water Conserv 6 (4): 30-34.


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DeFalco LA, Esque TC, Kane JM, Nicklas MB. 2009. Seed banks in a degraded desert shrubland: Influence of soil surface condition and harvester ant activity on seed abundance. J Arid Environ 73 (10): 885-893. Diaz-Villa MD, Maranon T, Arroyo J, Garrido B. 2003. Soil seed bank and floristic diversity in a forest-grassland mosaic in southern Spain. J Veg Sci 14: 701-709. Dufrene M, Legendre P. 1997. Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecol Monogr 67: 345-366. Dupouey JL, Dambrine E, Laffite JD, Moares C. 2002. Irreversible impact of past land use on forest soils and biodiversity. Ecology 83: 2978-2984. Eloun H, Ghorbani J, Shokri M, Jafarian Z. 2007. Vegetation composition in two Rangelands and adjacent cultivated lands in a Part of Tangab Dam sub basin in Firozabad at Fars Province. J Rangeland 4 (1): 370-385. Eshaghi Rad J, Manthey M, Mataji A. 2009. Comparison of plant species diversity with different plant communities in deciduous forests. Int J Environ Sci Technol 6 (3): 389-394. Ferrandis P, Herranz JM, Martı´nez-Sanchez JJ. 2001. Response to fire of a predominantly transient seed bank in a Mediterranean weedy pasture (eastern-central Spain). Ecoscience 8: 211-219. Ferrari C, Bona Feede F, Alessandrini A. 1993. Rare plants of the EmiliaRomagna Region (Northern Italia): A data bank and computer mapped atlas for conservation purpose. Biol Conserv 64: 11-188 Fourie S. 2008. Composition of the soil seed bank in alien-invaded grassy fynbos: Potential for recovery after clearing, Sout African J Bot Botany 74: 445-453. Ghahreman A, Naqinezhad AR, Hamzeh B, Attar F, Assadi M. 2006. The flora of Tehreatend Black Alder Forests in the Caspian Lowlands, northern Iran. Rostaniha 7 (1): 5-30. Ghahreman A. 2000. Colored Flora of Iran 1975-2000. Vol. 1-20, Research Institute of Forests and Rangelands, Tehran, Iran. Ghazanfari H, Namiranian M, sobhani H, Mohajer RM. 2004. Traditional forest management and its application to encourage public participation for sustainable forest management in the northern Zagros Mountains of Kurdistan province, Iran. Scandinavian J For Res 4: 65-71. Ghorbani J, Das PM, Das AB, Hughes JM, McAllister HA, Pallai SK, Pakeman RJ, Marrs RH, MG. 2003. Effect of Restoration Treatments on the Diaspore Bank Under Dense pteridiumStands in the UK. Appl Veg Sci 6: 189-198. Ghorbani J, Eloun H, Shokri M, Jafaryan Z. 2008. Species composition of standing vegetationand soil seed bank in a scrubland and shrubland. Rangeland 2 (3): 264-276. Graham DJ, Hutchings MJ. 1988. Estimation of the seed bank of a chalk grassland ley established on former arable land. J Appl Ecol 25: 241-252. Heydari M, Mahdavi M, Atar Roushan S. 2009. Identification of relationship between some physiographic attributes and physicochemical soil properties and ecological groups in Melehgavan protected area, Ilam. Iranian J For Poplar Res 17 (1): 149-160. Heydari M. 2012. Effect of human disturbances and management on above ground vegetation composition and soil seed bank in Zagros forest ecosystem, Ilam city. [PhD-Dissertation]. Guilan university, Sowme'eh Sara, Iran. Hill MO, Gauch HG. 1980. Detrended correspondence analysis, an improved ordination technique. Vegetatio 72: 47-58. Hu ZH, Yang Y, Leng PS, Dou DQ, Zhang B, Hou BF. 2013. Characteristics of soil seed bank in plantation forest in the rocky mountain region of Beijing, China. J For Res 24 (1): 91-97. Ito S, Nakayama R, Buckley GP. 2004. Effects of previous land-use on plant species diversity in semi natural plantation forests in a warmtemperate region in south-eastern Kyushu, Japan. For Ecol Manag 196: 213-235. Jackowiak B. 1998. The hemeroby concept in the evaluation of human influence on the urban flora of Vienna. Phytocoenosis 10: 79-96. Kent M, Coker P. 1994. Vegetation description and analysis, A practical approch. Edinburgh University Press. Edinburgh. Kirsten AL, Scharer HM. 2001. Population dynamics of the annual plant Senecio vulgaris in ruderal and agriculture babitats. Basic Appl Ecol 2: 53-64. Leckie S, Vellend M, Bell G, Waterway MJ, Lechowicz MJ. 2000. The seed bank in old-growth, temperate deciduous forest. Canadian J Bot 78: 181-192. Leicht-Young SA, Pavlovic NB, Grundel R, Frohnapple KJ. 2009. A comparison of seed banks across a sand dune successional gradient at Lake Michigan dunes (Indiana, USA). Pl Ecol 202 (2): 299-308.

Lenzi-Grillini CR, Viskanic P, Mapesa M. 1996. Effects of 20 years of grazing exclusion in an area of the Queen Elizabeth National Park, Uganda. African J Ecol 34 (4): 333-341. Lindner A. 2009. A rapid assessment approach on soil seed banks of Atlantic forest sites with different disturbance history in Rio de Janeiro, Brazil. Ecol Engineer 35: 829-835 López-Mariño A, Calabuig E, Fillat F, Bermúdez FF. 2000. Floristic composition of established vegetation and the soil seed bank in pasture communities under different traditional management regimes. Agric Ecosyst Environ 78: 273-282. Ludwig JA, Reynolds JF. 1988. Statistical Ecology: a primer on methods and computing. John Wiley and Sons, New York. Lugo, A.E, 1997. The apparent paradox of reestablishing species richness on degraded lands with tree monocultures. For Ecol Manag 99: 9-19 Luzuriaga AL, Escudero A, Olano JM, Loidi J. 2005. Regenerative role of seed banks following an intense soil disturbance. Acta Oecologica 27: 57-66. Ma M, Zhou X, Ma Z, Du G. 2012. Composition of the soil seed bank and vegetation changes after wetland drying and soil salinization on the Tibetan Plateau. Ecol Engineer 44: 18-24. Magurran A. 1988. Ecological diversity and its measurement. Croom Helm, London. Malo JE, Jime´nez B, Suarez F. 2000. Herbivore dunging and endozoochorous seed deposition in a Mediterranean dehesa. J Range Manag 53 (3): 322-328. Martinez ML, Pérez-Maqueo O, Vázquez, G, Castillo-Campos G, GarcíaFranco J, Mehltreter K, Equihua M, Landgrave R. 2009. Effects of land use change on biodiversity and ecosystem services in tropical montane cloud forests of Mexico. For Ecol Manag 258: 1856-1863. Martinez-Duro E, Luzuriaga AL, Ferrandis P, Escudero A, Herranz JM. 2011. Does aboveground vegetation composition resemble soil seed bank during succession in specialized vegetation on gypsum soil? Ecol Res 27 (1): 43-51. Masoumiramak A. 1986-2000. Astragalus communities of Iran. Vol. 1-4, Publishing Research Institute of forests and Rangelands, Tehran. McCune B, Mefford MJ. 1999. PC-ORD, Multivariate Analysis of Ecological Data, Version 4, MjM Software Design, Glenden Beach, Oregon, USA. McGeoch MA, Chown SL. 1998. Scaling up the value of bioindicators. Trends Ecol Evol 13: 46-47. Meissner RA, Facelli JM. 1999. Effect of sheep exclusion on the soil seed bank and annual vegetation in chenopod shrublands of South Astralia. J Arid Environ 42: 117-128. Mengistu T, Teketay D, Hulten H, Yemshaw Y. 2005. The role of exclosures in the recovery of woody vegetation in degraded dryland hillsides of central and northern Ethiopia. J Arid Environ 60 (2): 259-281. Montagnini F. 2001. Strategies for the recovery of degraded ecosystems: experiences from Latin America. Interciencia 26: 498-503 Mukhongo JN, Kinyamario JI, Chira RM, Musila W. 2011. Assessment of soil seed bank from six different vegetation types in Kakamega forest, Western Kenya. African J Biotechnol 10 (65): 14384-14391 Muller-Dombois D, Ellenberg, H.1974. Aims and methods of vegetation ecology, John Willey, New York. Najafi tere Shabankareh K, Jalili A, Khorasani N, Ziba J, Asri U. 2008, Similarity between standing vegetation and soil seed bank in Geno. Iranian J res Dev 21: 171-182. Olano JM, Caballero I, Laskurain NA. 2002. Seed bank spatial pattern in a temperate secondary forest. J Veg Sci 13(6): 775-784. Parsa A. 1950. Flora of Iran 1943-1950. Vol. 1-5, Tehran University Press, Tehran, Iran. Peco B, Ortega M, Levassor C. 1998. Similarity between seed bank and vegetation in Mediterranean grassland: a predictive model. J Veg Sci 9: 815-828. Plassmann K, Brown N, Jones MLM, Edwards-Jones G. 2009. Can soil seed banks contribute to the restoration of dune slacks under conservation management? Appl Veg Sci 12: 199-210. Raunkiaer C. 1934. The Life Forms of Plant and Statistical Plant Geography. Clarendon Press, Oxford. Ren H, ShenW, Lu H, Wen X, Jian S 2007. Degraded ecosystems in China: status, causes, and restoration efforts. Landscape Ecol Engineer 3: 1-13. Sagheb Talebi KH, Sajedi T, and Yazdian F. 2004. Forests of Iran. Research Institute of Forests & Rangelands. Tec. Pub. No 339. Tehran. Scott K, Setterfield S, Douglas M, Andersen A. 2010. Soil seed banks confer resilience to savanna grass-layer plants during seasonal disturbance. Acta Oecologica 36 : 202-210.


HEYDARI et al. – Human disturbances in Zagros oak forest, Iran Snyman HA, 2004. Soil seed bank evaluation and seedling establishment along a degradation gradient in a semi-arid rangeland. African J Range Forage Sci 21: 37-47. Solomon TB, Snyman HA, Smit GN. 2006. Soil seed bank characteristics in relation to land use systems and distance from water in a semi-arid rangeland of southern Ethiopia. South African J Bot 72 (2): 263-271 Stace CA. 1989. Plant Taxonomy and Biosystematics. 2nd ed. Edward Arnold, London. Steffan-Dewenter I, Westphal C. 2008. The interplay of pollinator diversity, pollination services and landscape change. J Appl Ecol 45 (3): 737-741. Takafumi H, Hiura T. 2009. Effects of disturbance history and environmental factors on the diversity and productivity of understory vegetation in a cool-temperate forest in Japan. For Ecol Manag 257: 843-857. Takhtajan A. 1986. Floristic Regions of the World. University of California Press, San Fransisco. Tárrega R, Calvo L, Taboada A, Garcia-Tejero S. Marcos E. 2009. Abandonment and management in Spanish dehesa systems: Effects on soil features and plant species richness and composition. For Ecol Manag 257: 731-738. ter Braak CJF, Šmilauer P. 1998. CANOCO Reference Manual and User´s Guide to Canoco for Windows. Software for Canonical Community Ordination version 4. Centre for Biometry, Wageningen. Tessema ZK, Boer WFD, Baars RMT, Prins HHT. 2012. Influence of Grazing on Soil Seed Banks Determines the Restoration Potential of Aboveground Vegetation in a Semi-arid Savanna of Ethiopia. Biotropica 44 (2): 211-219.

161

Thompson K, Grime JP. 1979. Seasonal variation in the seed bank of herbaceous species in ten contrasting habitats. J Ecol 67: 983-921. Wagner M, Poschlod P, Setchfield, RP. 2003. Soil seed bank in managed and abandoned semi-natural meadows in Soomaa National Park, Estonia. Annales Botanici Fennici 40: 87-100. Waldhardt R, Simmering D, Albrecht H. 2003. Floristic diversity at the habitat scale in agricultural landscapes of central Europe-summary, conclusions and perspectives. Agric Ecosyst Environ 98(1): 79-85. Warr SJ, Kent M, Thompson K. 1994. Seed bank composition and variability in five woodlands in South-West England. J Biogeogr 21: 322-335 Wisheu IC, Keddy PA, 1991. Seed banks of a rare wetland plant community: distribution patterns and effects of human-induced disturbance. J Veg Sci 2: 181-188. Zandebasiri M, Ghazanfari H, Sepahvand A, Fatehi P. 2010. Presentation of decision making pattern for forest management unit under uncertainty conditions (Case study: Taf local area-Lorestan). Iranian J For 3 (2): 109-120. Zechmeister HC, Moser D. 2001. The infiuenece of agricultural land-use intensity on Bryophyte species richness. Biodiv Conserv 10: 1609-1625 Zerbe S. 1993. Fichtenforste als Ersatzgesellschaften von HainsimsenBuchenwäldern : Vegetation, Struktur und Vegetationsveränderungen eines Forstökosystems. Berichte des Forschungszentrums Waldökosysteme. ser. A 100: 1-173. Zohary M. 1973. Geobotanical Foundations of the Middle East. 2 Vols. Amsterdam, Stuttgart.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 162-168

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150207

The amount and quality of dead trees in a mixed beech forest with different management histories in northern Iran ♼

KIOMARS SEFIDI , VAHID ETEMAD 1

Faculty of Agriculture Technology and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran. Tel: +98-451-5512081; Fax.: +98-4515512081; ♼email: kiomarssefidi@gmail.com. 2 Department of Forestry, Faculty of Natural Resources, University of Tehran, Tehran, Iran. Manuscript received: 2 June2014. Revision accepted: 30 July 2014.

ABSTRACT Sefidi K, Etemad V. 2014. The amount and quality of dead trees in a mixed beech forest with different management histories in northern Iran. Biodiversitas 15: 162-168. Dead tree (fallen logs and snags), is regarded as an important ecological component of forests on which many forest dwelling species depend, yet its relation to management history in Caspian forest has gone unreported. The aim of research aim was to compare the amounts of dead tree in the forests with historically different intensities of management, including: forests with the long term implication of management (Patom), the short term implication of management (Namekhaneh) which were compared with semi virgin forest (Gorazbon). The number of 215 individual dead trees were recorded and measured at 79 sampling locations. ANOVA revealed volume of dead tree in the form and decay classes significantly differ within sites and dead volume in the semi virgin forest significantly higher than managed sites. Comparing the amount of dead tree in three sites showed that, dead tree volume related with management history and significantly differ in three study sites. Reaching their highest in virgin site and their lowest in the site with the long term implication of management, it was concluded that forest management cause reduction of the amount of dead tree. Forest management history affect the forest's ability to generate dead tree specially in a large size, thus managing this forest according to ecological sustainable principles require a commitment to maintaining stand structure that allow, continued generation of dead tree in a full range of size. Key words: Forest biodiversity, snag, sustainable management, Fagus orientalis, Iran.

INTRODUCTION An important feature of natural forests is that they possess high amounts of dead tree in all stages of decay and also high proportions of old, living trees with dead parts (Harmon and Sexton 1996; Kraigher et al. 2002; Debeljak 2006). Dead tree has been denoted as the most important, manageable habitat for biodiversity in forests (e.g. McComb 2003), supporting a wide diversity of organisms, including birds, mammals, insects, mites, collembolans, nematodes, bryophytes, lichens, fungi and bacteria. As the most important agent of wood decay, fungal diversity can be regarded as a crucial indicator of dead tree biodiversity. Fallen dead tree and stumps provide nurse logs for regeneration in temperate, boreal and submontanesubalpine forest types (Ott et al. 1997; Christensen et al. 2005). Dead trees are usually divided into coarse and fine woody debris, although the minimum threshold diameter value varies a lot (MĂźller and Bartsch 2009). All type of dead tree play different role in the forest ecosystems. Dead tree is increasingly regarded as a major component of forest structure, and a useful indicator of biodiversity in forests (Colak 2002; Norden et al. 2004; Christensen et al. 2005; Hahn and Christensen 2004; Rahman et al. 2008). For this reason it was adopted as an indicator for

sustainable forest management by the Ministerial Conference on the protection of forests in Europe (Butler and Schlaeper 2004). The nature of the dead tree resource and the implications of this for nature conservation are well-established issues and concerns. Dead tree offers rooting substrate for plants (Schuck et al. 2004), provides wildlife habitat facilitates nutrient cycle and energy flows and maintains hydrology and soil retention capacities (Hafner and Groffman 2005). In terms of animal habitat, a diversity of dead tree conditions helps ensure a diversity of organisms including fungi, bryophytes, lichens, invertebrates, amphibians, cavity nesting birds, and small mammals (Bobiec et al. 2005). In the temperate European beech (Fagus sylvatica) forests, the death of individuals or small groups of trees is the primary natural disturbance that provides for a continuous presence of dead tree of different sizes and decay status (Laarmann et al. 2009). Forest fragmentation has imposed additional difficulties for dispersal of dead tree dependent forest organisms between remaining old-growth stands (Edman et al. 2004). Lassauce et al. (2011) showed that the correlation between dead wood volume and species richness of saproxylic organisms was moderately significant, and that it varied only slightly between logs and snags or between decay stages.


SEFIDI & ETEMAD – Dead trees in a mixed beech forest

However, there has been little consideration of the extent or role of dead tree in Caspian forests, or of the effects that management might have on it, and no such regulatory frameworks exist. The dead tree's volume varies with successional stage in the Caspian forests. Early successional forests have an average of 37 m3 ha-1; midsuccessional forests have an average of 26 m3 ha-1; and late successional forests have an average of 51 m3 ha-1 (Sefidi and Marvie-Mohadjer 2010). Oriental beech stands managed for timber production had the lowest volume of coarse woody debris with an average of 23 m3 ha-1(Atici et al. 2008). In the north of Iran, Amanzadeh et al. (2013) showed the total dead tree ranged from 1 to 27 m3 ha-1. In the other research on amount of coarse and fine woody debris, results showed coarse woody debris had an average volume of 15 m3 ha-1 and fine woody debris had an average of 10 m3 ha-1.Within the oriental beech forest the most common form of coarse woody debris was logs and the most frequent species was Oriental beech (Sefidi et al. 2013). To date, no comprehensive studies have dealt with the amount of dead tree in the area with different management history in the Caspian beech forests of northern Iran. Forests in the north of Iran managed based on ecological concepts and in close to the nature way, so the recognition of the importance of management of the dead tree is vital if its nature conservation objectives and obligations are to be met. Thus, the goal of this study was to quantify the extent and composition of the dead tree resource in an area of deciduous forests in Hyrcanian forests and to assess to what extent historically different intensities of management have affected this relationship and the dead tree resource.

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MATERIALS AND METHODS Study area The study was conducted within the Kheiyroud Experimental Forest in northern Iran which is owned and managed by the University of Tehran, Iran for education, research, and conservation (Figure 1, Table1). The forest covers a total area of 8,000 ha and ranges in latitude from 36°27’N to 36°40’N and in longitude from 51°32’E to 51°43’E (Nosrati et al. 2005). The climate is sub-Mediterranean with a mean annual temperature of 9°C and total annual precipitation of 1380 mm (Figure 2, Table1). Selected forest communities occupy plateaus or moderately inclined slopes which are dominated by moderately acidic to alkaline brown forest soils with deep, organic A-horizons, limestone bedrock, and a surface largely free of rocks (Dewan and Famouri 1961). Forests occupy plateaus on moderately inclined slopes, largely free of rocks with limestone bedrock. Caspian forests occupy an approximate area of 2,000,000 ha being dominated by oriental beech (Fagus orientalis Lipsky). These forests are characterized by natural uneven aged structures with gap dynamics typical of old-growth forests (Marvie-Mohadjer 2001). Forests at middle and upper evaluations are primarily composed of beech followed by hornbeam (C. betulus), alder (T. begonifoia), and maple (A. velutinum) (Sagheb-Talebi et al. 2013). Beech (F. orientalis) is the most productive timber species in Caspian forests occupying 17.6 percent of the total land area and representing 30 percent of the standing tree volume. Beech in this area can grow taller than 40 m and exceed diameters than 1.5 m measured at breast height (Resaneh et al. 2001).

Figure 1. Extent of Hyrcanian forests and study area the in northern Iran (modified after Nosrati et al. 2005).


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Figure 2. Climate diagram of Kheyrud Experimental Forest in Northern Iran on 1500 m a.s.l., the red curve shows the temperature development, the blue one the precipitation (modified according to the Azarian 2012).

Table 1.Description of study site indicating management history and other structural characteristics(Azarian 2012). Study Area Patom Namkhaneh Gorazbon

Site code PS NS GS

Area (ha) 59 39 75

Associated tree species Acer capadocicum, Carpinus betulus Acer velutinum, Carpinus betulus Acer velutinum, Carpinus betulus

The Caspian forests of Iran are largely natural temperate broad leaved with minimal active management during the last four decades, F. orientalis stands in the Caspian region have been managed chiefly using shelter wood system, but now the all of beech forests managed using selection method (Sefidi et al. 2014). In this research three study sites had selected based on different management history. Patom (PS) site has long-term management period, Namkhaneh (NS) is in the intermediate state and short-term management period and Gorazob (GS) as third study sites that was unmanaged and semi virgin area without any logging operation (Table 1, Azarian 2012). Dead tree selection and description Dead tree comes in many forms (Sefidi et al 2013; Müller and Bartsch 2009), but above ground two tend to predominate dead trees on the forest floor (logs), and standing dead trees (snags) and these are the two on which the present study focuses. All of dead trees including: fallen logs and snags had measured within the study sites using the full callipering method. For each piece of coarse woody debris, we recorded species, total length, form (log, snag or stump), diameter at both ends, diameter at the midpoint, and decay class. Lengths and diameters were taken at the edge of the plot boundary if the log extended outside of the plot. Diameters of logs and snags were measured using calipers; however, for taller snags, top diameters were estimated visually. For snags taller than 4 m, height was measured with a clinometer. Dead trees standing at an angle of less than 45° from the vertical were

Management history 60 yr< 20 yr< Unmanaged

Regeneration Natural Natural Natural

Elevation(m) 480-630 950-1110 850-1220

classified as snags and those at a greater that 45° from the vertical were classified as logs. Decay classes were defined according to Albrecht (1990) as Class 1 (recently dead), Class 2 (bark loose with some decay in the sapwood), Class 3 (decay obvious throughout the secondary xylem) and Class 4 (woody debris mixing with soil, little structural integrity). Most dead trees displayed a mixture of different decay stages along their total length; therefore the dominant decay stage class was used during the analysis. Diameter at breath height was measured on dead trees in the early stages of decay. In order to investigate the species composition around large dead trees, according to the Zobeiri (2008) the 0.1 ha circle plots established around dead trees having diameter larger than 50 centimeters. Data analysis To calculate the volume of dead trees, Newton’s formula was used (Harmon and Sexton 1996) for snag and log volume:

where, V = volume in m3, L = length, and Ab, Am and At = the cross-sectional area at the base, middle, and top, respectively. The volume for stumps was calculated by: V = Am × L where, V = volume in m3, Am = cross-sectional area at the middle of the stump, and L = length.


SEFIDI & ETEMAD – Dead trees in a mixed beech forest

To determine whether the volume of CWD of different types, decay classes and size classes differed among these three forests, different management histories was considered as a fixed factor and volume of CWD was analyzed as a response variable using one-way analysis of variance (ANOVA). If there was a significant effect of different management history, the least squares mean separation with Tukey’s correction was used to test for differences among sites. Normality and homogeneity of variance of the residuals were tested and data were logtransformed if the homogeneity of variance was not met. All statistical tests were considered significant at the p< 0.05 level (Zar 1999).

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Figure 3. Dead tree volume in different study sites

RESULTS AND DISCUSSION Totally 215 individual dead trees were recorded and measured at 79 sampling locations. GS as a semi virgin forest generally contained greater volume of dead tree. The results showed that the stocking volume of alive and dead trees was 352m3 ha-1and 3.2 m3 ha-1in PS and 531m3 ha1 and 5.17 m3 ha-1in NS, respectively. The 32% of all dead trees in PS were snag and 68% belonged to log forms. This amount in NS calculated 36 and 64 %, respectively (Figure 2). We found the same results in the GS. In this site 70% of dead tree was logs. Stocking volume also calculated 685 m3 ha-1 in the GS. High amount of logs in contrast snags showed rapidly decomposing of material in these forests. Results of ANOVA indicate significantly different among three study sites. Volume of dead tree significantly higher in unmanaged forests (GS) in comparing with two other sites (F =14.25; P < 0.001). In order to investigate the species composition around large dead trees, the dead trees with diameter higher than 50 centimeters were considered being the fixed area sampling plots (0.1 ha). The results showed beech constitute the highest amount of live trees in PS, whereas the most of dead trees in the given site was hornbeam. The same results obtained in the other sites. F. orientalis is the dominant tree species in the study area and showing the greatest standing volume. In the PS 57, 31.4 and 11.8 % of live trees that allocated around large dead trees were F. orientalis, C. betulus and other species, respectively. In the NS this amount calculated 49.5, 30 and 19.5 %, respectively (Table 2). Moreover according to the full callipering inventory of dead trees in study sites, the highest amount of dead volume recorded in the GS as unmanaged sites and the lowest was in the PS with the long term of management implication. Quality of dead trees was measured in this research. Figure four illustrates the distribution of dead trees in different decay classes. Results showed that the highest amount of dead trees in this forest belonged to decay class III with 30.7 % of all dead trees. Also more than 40% of all dead trees belonged to decaying stage III and IV. Analysis revealed the amount of dead volume in decay classes significantly differ in three study sites (Table 3).In this study the most of dead trees were in advance decay class.

Figure 4. Distribution of dead trees in different decaying classes. Different letters used to showing the significant statistical differences.

Table 2.Total dead tree volume and living tree volume of oriental beech forests at stand level Species tree Fagus orientalis Carpinus betulus Parrotia persica Other species Total

Live trees(m3 ha−1) GS PS NS 156.3 278.4 397 131.5 165.5 75 15.68 49.57 9.02 213 352.33 531.3 685

Dead trees(m3 ha−1) GS PS NS 0.99 2.30 15.91 1.81 22.2 1.62 0.28 0.08 0.73 1.30 3.16 5.1 18.85

Table 3.Results of one-way ANOVA’s of different types and decay classes of CWD in three forests with different management history, deciduous broad-leaved forest of Northern Iran characteristics of CWD Tree species

Types

df

F. orientalis C. betulus Other species Logs Snags

2 2 2 2 2

I II III IV

2 2 2 2

Volume F 30.45 28.12 37.45 37.45 41.12

P < 0.001 < 0.011 < 0.001 < 0.001 < 0.001

Decay class 39.95 51.38 13.26 62.76 Total 14.25 Note: The F-Value and P-value are presented for management history.

< 0.001 < 0.001 < 0.001 < 0.001 < 0.001 effect of


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15 (2): 162-168, October 2014

Discussion The range of the dead tree volume in this study was different to that reported in other studies (e.g. 16.5 m3 ha−1 for dead trees in Chelir Forest; Zolfaghari 2004). Dead tree volumes were at or below the lower end of the range reported in the some studies. Harmon and Sexton (1996) reported dead volumes for tropical forests ranging from 33 to 126 m3 ha−1, with most of the higher values referring to forests recently disturbed by fire and/or hurricane. Some other forest types such as tropical mangrove forests had dead tree volumes ranging from 35.1 to 104.2 m3 ha−1 (Allen et al. 2000). Obtained amount of dead tree in Iran is lower than tropical forest. In general, the values reported for other forests tend to be slightly greater than those for temperate deciduous forest, but much less than those in temperate or boreal evergreen/coniferous forest. The main reason of low amount of dead tree in study areas can be management of this forest in the past decade. The amount of dead tree varied in different developmental stage and phases, and Sefidi and Marvie-Mohadjer (2010) showed the highest amount of dead tree in the latesuccessional stage. Also, genecological differences among tree species and structural differences of forest stands led to different dead tree input rates. Susceptibility to storm damage (Bruederle and Stearns 1985), successional status (Sefidi and Marvie-Mohadjer 2010; Sefidi 2012; Saniga and Shutz 2002), and susceptibility to pathogens (McCarthy et al. 2001) is different among species and stands which impact accumulation of dead volume. Our findings demonstrate amount of dead tree can be influenced also by management regimes. Patom forest (PS) is a managed forest with a long term period of management and some fresh dead trees extracting, in forestry plans in the past decades and have no chance to inter in the dead tree pool. Meanwhile nearing this site to rural community and consuming dead trees for fuel and charcoal making in the past can be one of reason for decreasing the dead tree volume in this forest. Namkhaneh Forest (NS) is younger than Patom with a short management history, for this reason the high amount of fallen tree had the opportunity for decaying in forest floor and creating dead tree. Volume of dead tree in NS was higher than the PS. In the NS forest far from rural communities and indicate a low impact of natural disturbance and short term implication of management. Studies in European managed beech forest showed that the amount of dead tree was 1-5 m3 ha−1 (Christensen et al. 2005) that is similar to the results of this research in the Caspian beech forest in northern Iran. Gorazbon (GS) forests developed far from human implication and are in the natural condition. Large dead trees immediately inter to the dead trees pool after falling and have opportunity for decaying. In the late successional stage stands in the study sites Sefidi and Marvie-Mohadjer (2010) report a high amount of dead trees. Also possessing of large dead trees within stand structure is future of old growth forests. In terms of total amounts of dead tree, there are two feasible models for responses to logging. The amount of dead tree in logged forest might reasonably be expected to be higher than in an old - growth forest if it largely

comprises logging residue. Such a situation was reported for snags in the Bornean rainforest (Cannon et al. 1994). On the other hand, it might be expected to be lower than old-growth forest if the logging residue has already decayed, and there is a deficit of newly generated dead trees due to removal of some of the larger-diameter trees that would otherwise have died in situ. This is the longterm prognosis for managing forest predicted by many researchers (e.g. Meyer and Schmidt 2011), particularly if mean dead tree diameters decrease, since smaller diameter pieces would be expected to decay more rapidly than larger ones (Fasth et al. 2011). In this study, whilst old-growth forest had dead volume on average than logged forest, and the volume contributed by larger-diameter dead tree was significantly higher, there was considerable variation at the sites and plot level. Comparing amount of dead tree in three sites showed dead tree volume related with management history. Reaching their highest in virgin site and their lowest in a region with long term implication of management, it was identified that forest management cause reduction of amount of dead tree on our study region and affect the forest ability to generate dead tree specially in a large size, thus managing this forest according to ecologically sustainable principles require a commitment to maintaining stand structure that allow, continued generation of dead tree in a full range of size. The most common form dead tree found in the Oriental beech-dominated forests of northern Iran was logs. Density (number of occurrences of a status class) is perhaps more useful to compare status of dead tree than volume because, in general logs and snags inherently have a larger volume than stumps (Sefidi et al. 2013). The high proportion of logs vs. stumps implies that stumps decompose faster than logs or that individual stems divide into multiple logs as they decompose because originally the log to stump ratio would have been 1:1; whereas the current ratio is 16:1. The gross pattern of decay shown by dead tree across all study sites, in which most is in a late stage of decomposition, suggests that residence times in each decay class are not equal. A bell-shaped distribution would suggest a geometric increase in residence times with successive decay stages. In PS forest according to shown high amount of dead trees in high decaying class; we can state that this forest is in developed stage of succession, but in NS Forest high amount of dead trees belonged to low stage of decaying that sowed this forest is in developing stage toward late successional stages.

Dead volume (cubic meters)

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Naturalness

Figure 5. Management effect on decreasing trend of dead trees


SEFIDI & ETEMAD – Dead trees in a mixed beech forest

Figure 5 illustrates the influence of management on decreasing trend of dead trees amount in three sites with historical differences. PS is an oldest forest with the long term implication of management and get a high impact of human activity and other disturbances, NS is a younger forest with the low impact of human activity and middle state, in contrast GS had located in un-managed and near virgin forest, so the highest amount of dead tree observes in this area. Increasing management period caused to falling down amount of dead volume within forests.

CONCLUSION A tightly controlled selection silviculture system using reduced-impact logging techniques to remove just a few highly valued timbers would impinge on dead tree volumes or size-distributions to a far lower extent than more extensive and more poorly controlled systems. Nevertheless, any system whose long-term effect is to reduce the proportion of basal area contributed by largerdiameter trees, even if the aim is to maintain a “reverse J” shaped distribution of size-classes in the equilibrium state (Sefidi 2012) risks ultimately reducing overall dead tree volumes in general, and volumes in the larger size-classes in particular. Given the known dependence of many organisms on this resource in temperate forests, ample consideration should be given to the dead tree and stand structure when formulating policies, silvicultural systems and criteria and indicators for ecologically sustainable forest management.

REFERENCES Albrecht L. 1990. Grundlagen, Ziele und Methodik der Waldökologischen Forschung in Naturwaldreservaten.Bayerisches Staatsministerium für Ernährung, Landwirtschaft und Forsten, Müchen. Allen JA, Ewel KC, Keeland BD, Tara T, Smith TJ. 2000. Downed wood in Micronesian mangrove forests. Wetlands 20: 169-176. Amanzadeh B, Sagheb-Talebi Kh, Foumani BS, Fadaie F, Camarero JJ, Linares JC. 2013. Spatial distribution and volume of dead wood in unmanaged Caspian beech (Fagus orientalis) forests from northern Iran. Forests 4, doi:10.3390/f40x000x. Atici E, Colak AH, Rotherham ID. 2008. Coarse dead tree volume of managed Oriental beech (Fagus orientalis Lipsky) stands in Turkey. Investigaciόn Agraria Sistemas y Recursos Forestales 17: 216-227. Azarian M . 2012. Investigation on silvicultural properties of over matured beech trees in relation to site characteristics. [M.Sc. Thesis].Natural Resources Faculty, University of Tehran, Tehran. Bobiec A, Gutowski JM, Zub K, Pawlaczyk P, Laudenslayer WF. 2005. The Afterlife of a Tree. WWF Poland, Warszawa-Hajnówka. Bruederle LP, Stearns FW. 1985. Ice storm damage to a southern Wisconsin mesic forest. Bull Torrey Bot Club 112: 167-175. Butler R, Schlapfer R. 2004. Dead wood in managed forests: how much is enough? Schweizerische Zeitschriftfür Forstwesen 155 (2): 31-37. Cannon CH, Peart DR, Leighton M, Kartawinata K. 1994. The structure of lowland rainforest after selective logging in West Kalimantan, Indonesia. For Ecol Manag 67: 49-68. Christensen M, Hahn K, Mountford K, Odor P, Stadovar T, Rozenberg D, Diaci J, Wijdeven A, Meyer P, Winter S,Vrska T. 2005. Dead wood in European beech forest reserves. For Ecol Manag 210: 267-282. Colak AH. 2002. Dead wood and its role in nature conservation and forestry: a Turkish perspective. J Pract Ecol Conserv 5 (1): 37-49. Debeljak M. 2006. Coarse woody debris in virgin and managed forest. Ecological Indicators 6: 733-742.

167

Dewan ML, Famouri J. 1961. Soil Map of Iran. Food and Agriculture Organization of the United Nations. Edman M, Gustafsson M, Stenlid J, Jonsson BG, Ericson L. 2004. Spore deposition of wood-decaying fungi: importance of Landscape composition. Ecography 27: 103-111. Fasth BG, Harmon ME, Sexton J and White P. 2011. Decomposition of fine woody debris in a deciduous forest in North Carolina. J Torrey Bot Soc 138 (2): 192-206. Hafner SD, Groffman PM. 2005. Soil nitrogen cycling under litter and coarse woody debris in a mixed forest in New York State. Soil Biology and Biochemistry 37: 2159-2162. Hahn K, Christensen M. 2004. Dead wood in European forest reserves - a reference for forest management. EFI Proceedings 51: 181-191. Harmon ME, Sexton J. 1996. Guidelines for measurements of woody detritus in forest ecosystems.US LTER publication no. 20, US LTER network office. University of Washington, Seattle, WA. Kraigher H, Jurc D, Kalan P, Kutnar L, Levanic T, Rupel M, Smolej I. 2002. Beech coarse woody debris characteristics in two virgin forest reserves in southern Slovenia. For Wood Sci Technol 69: 91-134. Laarmann D, Korjus H, Sims A, Stanturf JA, Kiviste A, Koester K. 2009. Analysis of forest naturalness and tree mortality patterns in Estonia. For Ecol Manag258: 5187-5195. Lassauce A, Paillet Y, Jactel H, Bouget Ch. 2011. Deadwood as a surrogate for forest biodiversity: Meta-analysis of correlations between deadwood volume and species richness of saproxylic organisms. Ecol Indicat 11: 1027-1039. Marvie-Mohadjer MR. 2001. Suitablemethods of silviculture in north forests of Iran. In: National symposium on north forests and sustainable development. Forest and Range Organization Publishers, Tehran. McCarthy BC, Small CJ, Rubino DL. 2001. Composition, structure and dynamics of Dysart Woods, an old-growth mixed mesophytic forest of southeastern Ohio. For Ecol Manag 140: 193-213. McComb WC. 2003. Ecology of coarse wood debris and its role as habitat for mammals. Cambridge University Press, Cambridge, UK. Meyer P, Schmidt M. 2011. Accumulation of dead wood in abandoned beech (Fagus sylvatica L.) forests in northwestern Germany. For Ecol Manag 261: 342-352. Müller SU, Bartsch N. 2009. Decay dynamic of coarse and fine woody debris of a beech (Fagus sylvatica L.) forest in Central Germany. Eur J For Res 128:287-296. Norden B, Gotmark F, Tonnberg M, Ryberg M. 2004. Dead wood in semi-natural temperate broadleaved woodland: contribution of coarse and fine dead wood, attached dead wood and stumps. For Ecol Manag 194 (1-3): 235-248. Nosrati K, Marvie-Mohadjer MR, W Bode, Knapp HD. 2005. Schutz der Biologischen Vielfalt und integriertes Management der Kaspischen Wälder (Nordiran). Bundesamt für Naturschutz, Bonn. Ott E, Frehner M, Frey HU, Lüscher P. 1997. Gebirgsnadelwälder. Ein praxisorientierter Leitfaden füreine Standortsgerechte Waldbehandlung. Verlag Paul Haupt, Bern. Rahman MM, Frank G, Ruprecht H, Vacik H. 2008. Structure of coarse woody debris in Lange-Leitn Natural Forest Reserve, Austria. J For Sci 54 (4): 161-169. Resaneh Y, Moshtagh MH, Salehi P. 2001. Quantitative and qualitative study of north forests. In: Nation Seminar of Management and Sustainable Development of North Forests, Ramsar, Iran, August 2000, Forest and Range Organization Press 1: 55-79. Sagheb-Talebi Kh, Sajedi T, Pourhashemi M. 2013. Forest of Iran, A Treasure from the Past, a Hope for the Future. Springer, Berlin. Saniga M, Schütz JP. 2002. Relation of dead wood course within the development cycle of selected virgin forests in Slovakia. J For Sci 48: 513-528. Schuck A, Meyer P, Menke N, Lier M, Lindner M. 2004. Forest biodiversity indicator: dead wood - a proposed approach towards operationalising the MCPFE indicator. EFI-Proceedings 51: 49-57. Sefidi K, Copenheaver CA, Kakavand M, Keivanbehjou F. 2014. Structural diversity within mature forests in northern Iran: A case study from a relic population of Persian ironwood (Parrotia persica C.A. Meyer). For Sci 60. doi:10.5849/forsci.13-096. Sefidi K, Marvie Mohadjer MR. 2010. Characteristics of coarse woody debris in successional stages of natural beech (Fagus orientalis) forests of Northern Iran. J For Sci 56 (1): 7-17. Sefidi K. 2012. Late successional stage dynamics in a mixed beech stands, Northern Iran. [Ph.D.-Dissetation]. University of Tehran, Tehran.


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Sefidi K,Marvie-Mohadjer MR, Mosandl R, Copenheaver CA. 2013. Coarse and fine woody debris in mature oriental beech (Fagus orientalis Lipsky) forests of Northern Iran. Nat Areas J 33 (3): 248255. Zar JH. 1999. Biostatistical Analysis. Upper Saddle River Prentice-Hall, New York.

Zobeiri M. 2008. Forest stands and Tree meseurments. University of Tehran Press, Tehran. Zolfaghari E. 2004. Ecological investigation on dead trees in the Chelir forest. [M.Sc.-Thesis], University of Tehran, Tehran [Persian].


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 169-179

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150208

Inventory of trees in tropical dry deciduous forests of Tiruvannamalai district, Tamil Nadu, India DURAI SANJAY GANDHI, SOMAIAH SUNDARAPANDIAN

Department of Ecology and Environmental Sciences, Pondicherry University, Puducherry 605014, India. Tel.: +91 413 2654986; ♥ email:_spsm.ees@pondiuni.edu.in Manuscript received: 10 July 2014. Revision accepted: 26 August 2014.

ABSTRACT Sanjay-Gandhi D, Sundarapandian S. 2014. Inventory of trees in tropical dry deciduous forests of Tiruvannamalai district, Tamil Nadu, India. Biodiversitas 15: 169-179. Diversity and distribution patterns of tree species were inventoried in 20 one hectare plots in Sathanur Reserve Forest of Tiruvannamalai district, Tamil Nadu, India. These plots were grouped into three sites based on their location in the reserve forest and the level of disturbance. Site I (8 plots) near to the road and agricultural lands, Site II (8 plots) away from the road and human settlements and site III (4 plots) along the canal-side where the terrain contain rocks here and there. A total of 60 species belonging to 48 genera and 29 families were enumerated including 13,412 stems (≥3.2cm DBH size class). The species richness in the stand (plot) varied from 7 ha-1 to 28 ha-1 and the stand density varied from 336 ha-1 to 1075 ha-1. Albizia amara (7999) was the dominant species in terms of density, basal area and IVI in all the study plots except plot no.16, where Chloroxylon swietenia was dominant indicates a mono-species dominated forest ecosystem. The mean values of Shannon and dominance indices were 1.406 and 0.411 respectively. Diameter class-wise distribution showed L-shaped curve, a sign of good regeneration status. Cattle grazing and illegal fuel wood collection have been observed to pose huge pressure to the integrity of this tropical dry forest, still it have substantial tree species diversity similar to many other dry forests in India and elsewhere. Key words: Species composition, structure of forest, tree species diversity, tropical dry deciduous forest.

INTRODUCTION Tropical and subtropical forests harbor maximum diversity of plant species on the earth (Anonymous 1992). Tropical forest ecosystem is one of the most species diverse terrestrial ecosystems which shelters variety of natural resources and help to sustain the livelihood of local communities (Dash et al. 2009). Dry forests account for nearly half of the world’s tropical and subtropical forests spreading large areas of Africa, Latin America and the Asia Pacific (Murphy and Lugo 1986). Waeber et al. (2012) stated that up to 60% of Indian forests are comprised of dry forests and 38.2% are tropical dry deciduous forests (Anonymous 2009; Blackie et al. 2014). Tropical dry forests are not in species-rich, when compared to tropical wet forests (Gentry 1995), but they also contain good species richness and diverse life-forms (Medina 1995). These forests occur under varied climatic conditions with alternating wet and dry periods. The structure, composition and functioning of these dry forests undergo changes with the length of wet period, amount of rainfall, latitude, longitude and altitude (Uma Shankar 2001). The microclimatic variations alter the species richness, structure and composition, density, growth and survival rate of the tree species in their habitat. Thus, special and temporal variations determine the habitat differentiation and habitat specialization of tree species (Kobe 1999; Pearson et al. 2003). The tropical dry forests

conservation is significant because they are the most used and threatened ecosystems (Janzen 1998) especially in India (Uma Shankar 2001). Tropical dry forests (TDF) are ecologically, socially and economically highly valued all over the world (Mooney et al. 1995) and provide many goods and ecosystem services (Li et al. 2003; Wang 2003; Armentaras et al. 2009), although they are exposed to a range of threats, mainly from human disturbances (Yosi et al. 2011; Baithalu et al. 2013). In most of the developing countries including India, even protected forests experience extensive anthropogenic disturbance due to grazing, extraction of fuel wood, collection of non-wood forest products, conversation of forest lands into croplands and agroforestry systems, and various developmental activities (Singh et al. 1997; Hegde and Enters 2000; Pattanayak et al. 2003; Sundarapandian and Pascal 2013), which alter the tree species diversity and population structure considerably from place to place (Pitman et al. 2002). A study on tree species diversity, distribution pattern and population structure of tropical forests is ecologically significant besides its usefulness in forest management (Sahu et al. 2012). Vegetation structure and species composition of Kalrayan hills (Kadavul and Parthasarathy 1999a,b) Kolli hills (Chittibabu and Parthasarathy 2000; Jayakumar et al. 2002), Chitteri hills (Natarajan et al. 2004) and six major hill complex of southern Eastan Ghats (Arulpragasan and Parthasarathy 2010) were studied. However, published information is not


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available on Sathanur Reserve Forests of Eastern Ghats. Hence, the present study was aimed to assess large scale quantitative inventory on the structure and floristic composition of trees in tropical dry forests of Sathanur dam Reserve Forests in Tiruvannamalai district, Tamil Nadu, India. This study provides the baseline data of tree species richness, population structure and distribution patterns to develop the conservation measures to protect the vanishing resources.

predominant soil types are red loam and red sand loam spread over in the forest area.

MATERIALS AND METHODS Study area Phytosociological investigation was carried out in Sathanur reserve forest which occupies an area of 870 ha and located in Chennakesava Hills of Tiruvannamalai district, Tamil Nadu, India. It is a part of the Eastern Ghats, lies between longitude 78° 51' 10" and latitude 12° 4' 48" (Figure 1). The forest receives both south-west (June to September) and north-east (October to December) monsoons, but the latter brings more copious rainfall. The mean annual rainfall for 32 years (1980 to 2012) was 965.49 mm (Figure 2). This forest area here falls under the tropical dry deciduous forest type under the Champion and Seth (1986) forest type classification in India. The climate is generally hot. The annual rainfall during the study period was ranged from 464 mm to 1613 mm (PWD data). The

Figure 2. Patterns in monthly distribution of rainfall and temperatures for Sathanur dam, the nearest station to the study sites, based on 22 years of data.

Figure 1. Map showing the location of the study area in tropical dry forests at Sathanur Reserve forests, Tamil Nadu, India


SANJAY GANDHI & SUNDARAPANDIAN – Tree diversity in tropical forests

RESULTS AND DISCUSSION Results A total of 60 tree species (≥3.2 cm DBH) belong to 47 genera and 29 families and 12,548 stems were enumerated in 20 ha plots (stand mean 627.4 stems/ha) of three different sites (Table 1). The number of tree species in a stand (1 ha plot) varied from 7 ha-1 to 28 ha-1 and the stand density varied from 336 ha-1 to 1075 ha-1. In total, Albizia amara (7522 number of stems in 20 ha) was the dominant tree species according to density and basal area (251.16 m2 20 ha-1), except one stand in undisturbed forest site, where Chloroxylon swietenia was the dominant species. It indicates that Sathanur reserve forest is a mono-species dominated forest ecosystem. Species richness was significantly greater in undisturbed forest site II (54) compared to other two study sites (Table 1). The least was recorded in disturbed forest site I (32). Total number of stems threshold ≥ 10 cm GBH were significantly greater in site I (727) compared to all the other study sites and the least was observed in site III (451). The mean basal area of the three different study sites ranged from 18.85 m2 ha-1 to 27.21 m2 ha-1. Greater mean basal area was observed in study site III than in other study sites (site I and II). Shannon’s index ranged from 1.639 to 2.194. Greater value of Shannon’s index was observed in site II than in other study sites. In contrast, dominance index was greater in site I (0.375) compared to other study

SITE I

SITE II

SITE III

sites. The greatest Fisher alpha value was observed in site II (8.48) compared to other study sites. Bray-Curtis cluster analysis based on density and species composition form two groups, site I and II form one group and site III left as a separate group (Figure 3). The site I and II have more similarity in species composition, which may be the reason to form a group.

0.96

0.88

0.8

0.72

Similarity

Methods In total, 20 plots (of 1 ha each) were laid randomly (approximately at 500 m intervals) in the Sathanur Reserve forest from March 2012 to December 2013 (Figure 1). The forest is classified into three categories based on the location and level of disturbance such as disturbed forest site (Site I, 8 plots, are adjacent to road and agriculture field, grazing and illegal collection of fuel wood is common in these plots), undisturbed forest site (Site II, 8 plots, far away for the human settlement, grazing is uncommon and very rare only during peak summer, since it is away from the settlements and illegal cutting is almost nil) and canal-side forest site (Site III, 4 plots, plots were located along canal-side, human disturbance is common in these area; the area is predominantly build up with granite and gneisses rocks of archean period here and there). Each 1 ha plot was further sub gridded into 10 m x10 m quadrates as workable units. All living trees (≥10 cm girth at breast height (GBH)) were enumerated and their diameter was measured at 1.37 m from the ground level. For multi-stemmed trees, bole girths were measured separately, and their basal area was calculated and summed up. The plant samples were collected for confirming species identity and were deposited in the herbarium, Department of Ecology & Environmental Sciences, Pondicherry University, Puducherry, India. The vegetation data collected in each plot were analyzed for frequency, density, abundance and importance value index (IVI). The diversity indices were calculated by using PAST software.

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0.64

0.56

0.48

0.4

Figure 3. Bray-Curtis cluster analysis based on abundance of tree species in three different study sites in tropical dry forests at Sathanur reserve forests, Tamil Nadu, India

Albizia amara was the dominant species in terms of density in all the three study sites followed by Chloroxylon swietenia (Table 2). Ten tree species were rare in distribution because their presence is less than two individuals in all the 20 stands. Twenty one tree species were commonly present in all the three study sites i.e. Acacia catechu, Albizia amara, Albizia lebbeck, Atalantia monophylla, Azadirachta indica, Canthium dicoccum, Cassia siamea, Chloroxylon swietenia, Dalbergia paniculata, Dichrostachys cinerea, Diospyros ebenum, Diospyros ferrea, Drypetes sepiaria, Ficus benghalensis, Grewia tiliaefolia, Gyrocarpus jacquinii, Mallotus philippinensis, Pongamia pinnata, Prosopis juliflora, Sapindus emarginatus and Wrightia tinctoria, while 18 species occurred only in one of the three study sites and not in other two. However, 8 species are common in between site I and site II whereas 9 species were common in between site II and site III. In terms of mean basal area of study sites, Albizia amara was the dominant species in all the study sites. Similarly, IVI value revealed that Albizia amara was the dominant species in all the study sites. Out of 29 families of tree species, Mimosaceae, Caesalpiniaceae, Fabaceae and Rubiaceae were the dominant families in terms of number of species in all the three study sites while Rubiaceae (5 genera) was the dominant family in terms of number of genera in study site II (Table 3). However, Mimosaceae (4206 in site I, 2671 in site II and 1047 in site III) was the dominant family in terms of number of individuals followed by Flindersiaceae (1017 in site I, 1191 in site II and 87 in site III). Twelve


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families in site I, 16 families in site II and 15 families in site III were represented by only one species. Species genera ratio also showed the greater value in Mimosaceae, Caesalpiniaceae, and Fabaceae in all the study sites. However, all other families showed the same value (1). Species-family ratio sowed high value in site II (2.8) followed by site I (2.7) and site III (2.2). Tree density decreased with increasing tree diameter class (DBH) in all the study sites (Table 4). Similarly,

species richness also decreased with increasing diameter size class. The juvenile population of trees (3.2-10 cm) contributed to 32.5%-42.5% of total tree density and 71%78% to species richness. In adult tree species, 47%-53% of stems belong to smaller size classes i.e. DBH of 10-30 cm. Dominant tree species, Albizia amara, Chloroxylon swietenia and Azadirachta indica showed similar trend in diameter class wise distribution (Figure 4a-4c).

Table 1. Summary of tree diversity inventory in tropical dry forests at Sathanur Reserve forests, Tamil Nadu, India Variable Species richness Genera Families Stand species richness range (no. ha-1) Diversity indices Shannon Simpson Fisher's alpha Individuals Density (stems ha-1) Total basal area (m2) Basal area (m2 ha-1) Stand tree density range (stems ha-1) Stand basal area range (m2 ha-1)

Site I (8ha) 32 26 18 7-21

Site II (8ha) 54 45 28 14-25

Site III (4ha) 38 33 23 18-28

Total (20ha) 60 47 29 7-28

1.639 0.374 4.46 5817 727+ 101 150.79 18.85+1.80 336-1075 9.8-25.1

2.194 0.248 8.48 4929 616 + 50 162.54 20.32+3.02 400-809 8.4-30.0

2.014 0.288 6.81 1802 450.5 +22.4 108.82 27.2+3.16 406-512 19.9-34.2

2.102 0.292 8.178 12548 627.4 +49.3 422.15 21.1+1.6 336-1075 8.4-34.2

Table 3. Contribution of families to tree genera (G), species (S) richness, species-genera ratio and tree density (D) in tropical dry forests at Sathanur Reserve forests, Tamil Nadu, India Family Alangiaceae Anacardiaceae Annonaceae Apocynaceae Arecaceae Bignoniaceae Caesalpiniaceae Combretaceae Ebenaceae Erythroxylaceae Euphorbiaceae Fabaceae Flindersiaceae Hernandiaceae Meliaceae Mimosaceae Moraceae Moringaceae Nyctaginaceae Rhamnaceae Rubiaceae Rutaceae Sapindaceae Sapotaceae Simaroubaceae Strychnaceae Symphoremataceae Tiliaceae Verbenaceae

G

S

Site I D S/G ratio

0 1 0 1 1 59 0 0 2 3 10 0 1 3 95 0 2 2 35 3 4 29 1 1 1017 1 1 20 1 1 201 4 6 4206 1 1 3 1 1 6 0 0 2 2 50 1 1 60 1 1 9 0 1 1 1 1 1 14 0 1 1 1 0 26 32 5817 1

1

1 1 1.5 3 1 1.33 1 1 1 1.5 1 1 1 1 1 1 1 1

Site II D S/G ratio 1 4 1 2 25 1 1 2 1 1 28 1 0 1 1 1 1 4 5 138 1.25 1 2 6 2 1 3 97 3 1 1 26 1 3 3 40 1 2 4 90 2 1 1 1191 1 1 1 100 1 2 2 197 1 4 6 2671 1.5 1 2 9 2 1 1 37 1 1 1 2 1 1 1 18 1 5 5 61 1 2 2 114 1 1 1 10 1 1 1 2 1 1 1 20 1 1 1 2 1 1 1 5 1 1 1 8 1 2 2 25 1 45 54 4929 G 1 2 1 1

S

Site III G S D S/G ratio 1 1 40 1 0 0 1 1 27 1 1 1 1 1 0 2 3 7 1.5 1 1 2 1 1 2 63 2 1 1 1 1 2 2 28 1 3 4 226 1.33 1 1 87 1 1 1 16 1 2 2 63 1 4 6 1047 1.5 1 1 5 1 1 1 3 1 0 1 1 78 1 2 2 34 1 1 1 22 1 1 1 1 1 0 0 1 1 9 1 1 1 33 1 1 1 3 1 2 2 6 1 33 38 1802


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Table 4. Diameter class vise distribution of species richness and density of trees in tropical dry forests at Sathanur Reserve forests, Tamil Nadu, India Diameter class (DBH, cm) 3.2-10 10.-20 20-30 30-40 40-50 50-60 60-70 70-80 80-90 90-100 100-110 110-120

Number of tree individuals Site I (8ha) Site II (8ha) Site III (4ha) 3064 2510 789 2877 1944 849 946 755 440 230 339 151 93 145 86 26 45 40 9 20 27 6 7 24 2 9 14 0 5 3 0 2 0 0 2 2

Discussion Structurally and floristically the tropical dry forests are less complex than the wet forests, comprising about half or less number of tree species than those of wet forests (Murphy and Lugo 1986). The total species richness recorded in the three study sites was 60 species in 20 ha (for individuals ≥10 cm) and this value is lower than the values reported by others in other parts of forests in Eastern Ghats, India such as in Shervarayan hills (70/4ha; Kadavul and Parthasarathy 1999b), Kolli hills (78/8ha; Chittibabu and Parthasarathy 2000), Kalrayan hills (89/4ha; Kadavul and Parthasarathy 1999a), tropical forests at six major hill complex of southern Eastern Ghats (272/60ha, Arulpragasan and Parthasarathy 2010), Similipal Biosphere Reserve, Orissa (76/8.48 ha, Reddy et al. 2007), Nallamalais, Seshachalam and Nigidi hill ranges (137/3ha, Reddy et al. 2008), SileruMaredumilli range (153/3ha, Reddy et al. 2011) and Vishakapatnam (274/2 ha, Reddy and Prachi 2008). Similarly the value obtained here are lower than the values reported from large scale permanent plots inventories in wet tropical forests (Condit et al. 1996; Condit 2000; Kochumen et al. 1990; Ayyappan and Parthasarathy 2001). The low species richness obtained in the present study could be attributed to low and erratic rainfall pattern, anthropogenic perturbations and over grazing. However, the value obtained in the present study is closer to the values reported in tropical deciduous forests of Mudumalai (71/50 ha, Sukumar et al. 1992) and Vindhyan dry tropical forests (65/15 ha, Sagar and Singh 2005). Quantitative inventories of tree species (≥10 cm dbh) across the tropics reveals a wide variation, ranging from 20 species ha-1 in flooded Varzea forest of Rio Xingu, Brazil (Campbell et al. 1992) to 300 species ha-1 in terra firma, Yanamono, Peru (Gentry 1988). The number of tree species (7-28 ha-1) per stand recorded in the present study is at the lower end of the above said global range. Similarly, the values obtained here were low compared to various studies in Western Ghats (Chandrashekara and Ramakrishnan 1994; Ganesh et al. 1996; Parthasarathy and Karthikeyan 1997; Swamy et al. 2000). However, the range obtained in the present study is similar to several other studies (19-35 ha-1; Mani and Parthasarathy 2005; 1-15 ha1 , Sagar et al. 2008; 1-27 ha-1, Sahu et al. 2008; 6-17 ha-1; Krishnamurthy et al. 2010; 18-27 ha-1, Anbarashan and

Number of tree species Site I (8ha) Site II (8ha) Site III (4ha) 25 42 27 27 44 31 21 32 30 15 24 19 12 21 6 6 14 6 5 11 5 5 3 6 1 8 3 0 4 2 0 2 0 0 2 2

Parthasarathy 2013). There is a wide variation in species richness in tropical dry forests in India and elsewhere. The variation in species composition, families and stand structure here may be due to location of the study sites, surface area of the forest, availability of water, intensity of grazing, intensity of human activates. Understorey vegetation here is dominated by alien invasive species Lantana camara and Ageratum conyzoides which indicator that these study sites are still under anthropogenic pressure. Alien plant invasions itself alter/affect the local plant diversity. This could also be one of the reasons for low diversity as well as changes in species composition and structure. Mani and Parthasarathy (2005) also reported that the geography, location, rainfall pattern, edaphic factors alter species composition, families and strand structures in tropical dry forest. The species diversity depends on the adaptation of species and increases with the stability of community (Knight 1975) and reported that Shannon’s index (H’) is generally higher for tropical forests. But for Indian forests, the values ranged from 0.83 to 4.0 (Singh et al. 1984). The Shannon’s diversity indices for trees in the present study ranged from 1.64 to 2.19 which is lower than those indices recorded by others in Eastern Ghats (Shervarayan hills, 2.37-3.072, Kadavul and Parthasarathy 1999b; Kalrayan hills, 2.305-2.869, Kadavul and Parthasarathy 1999a; Northern Andhra Pradesh, 4.56-5.18, Reddy et al. 2011; Malyagiri hill ranges, 3.38, Sahu et al. 2012) and other tropical dry forests (tropical dry deciduous forests in Sagar, 3.66, Thakur and Khare 2006; tropical dry deciduous forests in Bhadra Wildlife sanctuary, 3.39, Prakasha et al. 2008; Niyamgiri hills, 3.84-4.86, Dash et al. 2009; Dry deciduous forest of north Gujarat, 2.65, Kumar and Kalavathy 2012) of India while it lies closure to the values (1.85-2.05) reported by Panda et al. (2013) who study the whole range of Eastern Ghats. Comparison of indices is very difficult because of the difference in the area samples and lack of uniform plot dimensions and method of calculation. However, the dominance index is higher than those in other studies (mean-0.015; range 0.013-0.018, Panda et al. 2013; 0.099-0.192, Kadavul and Parthasarathy 1999a; 0.070-0.143, Kadavul and Parthasarathy 1999b). The higher dominance index could be attributed to monospecies dominance in this forest ecosystem.


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Table 2. List of tree species with its density, basal are and IVI in 20 one hectare plots in tropical dry forests at Sathanur reserve forests, Tamil Nadu, India

Name of the Species Acacia catechu (L.f.) Willd. Acacia leucophloea Roxb. Acacia nilotica (L.) Willd. ex Delile Aglaia elaeagnoidea (A. Juss.) Benth. Ailanthus excelsa Roxb. Alangium salvifolium (L.f.) Wang. Albizia amara (Roxb.) Bavi Albizia lebbeck (L.) Benth. Annona squamosa Linn. Atalantia monophylla (L.) Correa Azadirachta indica A.Juss Bauhinia racemosa Lam. Borassus flabellifer L. var. Butea monosperma (Lam.) Kuntze, Canthium dicoccum (Gaertn.) Teys. & Binn. Cassia fistula Linn. Cassia didymobotrya Fresen. Cassia roxburghii DC. Cassia siamea Lam. Chloroxylon swietenia DC. Cleistanthus collinus (Roxb.) Benth. Dalbergia lanceolaria L. Dalbergia paniculata Roxb. Dalbergia sissoo Roxb. ex DC. Delonix elata (L.) Gamble Dichrostachys cinerea (L.) Wight & Arn. Diospyros ebenum Koen. Diospyros ferrea (Willd.) Bakh. Diospyros montana Roxb. Dolichandrone falcata (Wall. ex DC.) Seem Drypetes sepiaria (Wight&Arn.) Pax&Hoffm. Erythroxylon monogynum Roxb. Ficus benghalensis L. Ficus glomerata Roxb. Garcinia spicata (Wight & Arn.) Hook.f., Gardenia resinifera. Roth. Gmelina asiatica Linn. Grewia tiliaefolia Vahl. Gyrocarpus jacquinii Roxb. Lannea coromandelica (Houtt.) Merr. Mallotus philippinensis Muell Manilkara hexandra (Roxb.) Dubard Moringa concanensis Nimmo Murraya koenigii (L.) Spreng. Pavetta indica L. Pisonia aculeata L. Pongamia pinnata (L.) Pierre Prosopis chilensis (Molina) Stuntz Rhus mysorensis G. Don Sapindus emarginatus Vahl. Strychnos nux-vomica L. Strychnos potatorum L. Syzygium cumini (L.) Skeels Tamarindus indica L. Terminalia arjuna (Roxb.) Wight & Arn. Terminalia belerica Roxb. Tricalysia sphaerocarpa (Dalz.) Gamble Vitex trifolia L. Wrightia tinctoria (Roxb.) R.Br. Ziziphus mauritiana Lam.

Family Mimosaceae Mimosaceae Mimosaceae Meliaceae Simaroubaceae Alangiaceae Mimosaceae Mimosaceae Annonaceae Rutaceae Meliaceae Caesalpiniaceae Arecaceae Fabaceae Rubiaceae Caesalpiniaceae Caesalpiniaceae Caesalpiniaceae Caesalpiniaceae Flindersiaceae Eubhorbiaceae Fabaceae Fabaceae Fabaceae Caesalpiniaceae Mimosaceae Ebenaceae Ebenaceae Ebenaceae Bignoniaceae Eubhorbiaceae Erythroxylaceae Moraceae Moraceae Rubiaceae Rubiaceae Verbenaceae Tiliaceae Hernandiaceae Anacardiaceae Eubhorbiaceae Sapotaceae Moringaceae Rutaceae Rubiaceae Nyctaginaceae Fabaceae Mimosaceae Anacardiaceae Sapindaceae Strychnaceae Strychnaceae Myrtaceae Caesalpiniaceae Combretaceae Combretaceae Rubiaceae Verbenaceae Apocynaceae Rhamnaceae

Mean density (No. ha-1) site I Site II Site III (8ha) (8ha) (4 ha) 11.75 17.25 6.25 0.13 1.75 0.75 0.25 0.25 0.13 2.5 0.5 10 504.75 310.75 249.5 0.88 1.63 0.5 0.25 7.5 14.13 5.5 25.13 24.38 15.5 0.88 1.63 0.25 1.13 0.5 5.5 5.25 4.75 0.13 0.13 1 0.25 11.88 0.25 127.13 148.88 21.75 2.25 0.13 0.13 2.25 0.88 2.75 0.13 0.75 0.13 5.5 0.63 3.75 8.13 10.5 14 0.13 1.5 1.75 3.63 0.13 0.13 4.13 2.38 3.75 3.25 0.25 0.38 0.75 1.25 0.38 0.75 1.13 0.38 0.88 0.25 0.13 1 0.75 2.5 12.5 4 2.38 0.25 0.375 3.25 0.25 4.63 0.75 0.13 0.13 3.75 0.25 0.13 10.13 52.5 2.75 1.88 1 0.13 0.75 1.13 1.25 0.25 2.25 1.75 0.25 0.63 8.25 3.5 0.5 0.38 0.5 0.38 0.75 2.25 1.25 7.38 3.5 6.75 0.75 2.25 19.5

Mean basal area (m2 ha-1) site I Site II Site III (8ha) (8ha) (4 ha) 0.436 0.561 0.155 0.001 0.028 0.024 0.001 0.011 0.004 0.008 0.015 0.202 14.178 10.740 15.092 0.084 0.437 0.026 0.001 0.121 0.189 0.148 0.843 0.686 0.293 0.026 0.106 0.022 0.009 0.033 0.181 0.066 0.200 0.003 0.001 0.051 0.001 0.530 0.005 1.534 2.165 0.283 0.073 0.009 0.001 0.171 0.101 0.085 0.014 0.022 0.037 0.179 0.037 0.237 0.292 0.191 0.857 0.004 0.038 0.086 0.150 0.006 0.078 0.035 0.056 0.024 0.147 0.004 0.034 0.020 0.008 0.010 0.115 0.156 0.835 0.395 0.058 0.028

0.084 0.014 0.288

0.038 0.011 0.245 0.030

0.641 0.124 0.001 0.005 0.626 0.101 0.099 0.001 0.009 0.042 0.058 0.017 0.032 0.092 0.648 0.075 0.004 0.031 0.134 0.091 0.081 0.019 0.097

0.021 5.192 0.058 0.014 0.045 2.233 0.058 0.019

0.014 0.155 0.729

IVI site I Site II Site III (8ha) (8ha) (4 ha) 7.79 10.39 4.19 0.06 1.30 0.39 0.14 0.19 0.13 1.31 0.41 4.56 176.73 136.90 153.21 0.72 3.65 0.39 0.16 10.64 5.69 4.07 23.33 13.79 9.27 0.56 1.19 0.22 0.75 0.53 6.84 3.87 3.71 0.00 0.07 2.34 0.00 1.02 0.07 9.85 0.19 40.53 54.24 12.72 0.00 1.33 0.10 0.08 1.84 0.53 1.25 0.00 0.22 0.75 0.00 0.19 2.66 1.08 3.07 3.95 4.87 11.73 0.09 0.58 1.44 1.71 0.08 0.08 2.57 1.69 2.65 1.43 0.20 4.20 1.00 1.68 0.17 1.07 0.71 0.30 0.28 0.27 0.05 1.49 0.50 1.72 8.41 3.21 3.60 0.38 0.29 1.14 0.10 4.65 1.15 0.09 0.07 2.23 0.13 0.05 6.79 41.13 1.33 1.29 0.68 0.08 0.40 1.61 1.43 0.20 0.00 1.35 0.82 0.47 0.88 12.01 5.51 0.56 0.63 0.45 0.24 0.48 1.56 0.69 4.85 2.38 4.50 0.42 1.54 12.53


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Figure 4. Distribution of dominant tree species in different diameter classes in tropical dry forests at Sathanur reserve forests, Tamil Nadu, India (A. Site I, B. Site II, and C. Site III).


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The stand density of Sathanur reserve forest (mean 638.66 ha-1 ranged from 336-1075) is comparable to other tropical dry forests of Eastern Ghats in India such as Shervarayan hills (mean is 815 stems ha-1, range 640-986; Kadavul and Parthasarathy 1999b), Kalrayan hills (367667; Kadavul and Parthasarathy 1999a), Nallamalais, Seshachalam and Nigidi hill ranges (mean 735stems/ha and range 674-794; Reddy et al. 2008), Niyamgiri hills (mean 735 stems ha-1 and range of 674-796; Dash et al. 2009), Malyagiri hills (mean 443 stems ha-1 and ranges 276-905; Sahu et al. 2012) and eastern Ghats region of Odisha (mean 353 stems ha-1 ranged from 268-655; Panda et al. 2013), dry tropical forests of India (Jha and Singh 1990; Sagar and Singh 2005), in the tropical evergreen forests of southern Western Ghats Kalakkadu (+574-915 stems/ha Parthasarathy et al. 1992), Kodayar (352-1173 stems ha-1; Sundarapandian and Swamy 2000), Uppangala 635 stems ha-1 (Pascal and Pelisser 1996) and other tropical forest of the world such as Costa Rica 448-617 (Heaney and Procter 1990). The tree density in deciduous forests of Eastern Ghats as reported in the present study is modest compared to other tropical forest zones. Tree density variation among the stands may be dependent on the efficacy of seed dispersal, survival and establishment and also on the level of resource extraction by humans as suggested by Kadavul and Parthasarathy (1999a). The mean basal area recorded in the present study ranged from 18.8-27.2 m2 ha-1 and this is well within the range of tropical dry forests in other parts of Eastern Ghats (6.6-23.2 m2 ha-1, Jha and Singh 1990; 7.792-49.2 m2 ha-1, Reddy and Prachi 2008; mean 29.0 m2 ha-1, range 8.1541.17 m2 ha-1 Sahu et al. 2008; 4.99-7.34 m2 ha-1, Bijalwan 2010; 0.01-2.88 m2 ha-1, Sahu et al. 2012; mean 10.47 m2 ha-1, 6.65 to 22.28 m2 ha-1, Panda et al. 2013) and in the world tropical forest such as Malaysia (24.2 m2 ha-1, Poore 1968); Brazilian Amazon (27.6 to 32.0 m2 ha-1; Campbell et al. 1986; 25.5-27.0 m2 ha-1, Campbell et al. 1992), Costa Rica forests (27.8 m2 ha-1; Lieberman and Lieberman 1987) and dry tropics (17-40 m2 ha-1, Murphy and Lugo 1986) but is lower than that of few regions in Eastern Gats (mean33.7 m2 ha-1, Kadavul and Parthasarathy 1999a; mean 34.9 m2 ha-1, range 21.6 to 44.3 m2 ha-1; Kadavul and Parthasarathy 1999b; 34.39 m2 ha-1, Reddy et al. 2008; 26.30-34.3 m2 ha-1, Reddy et al. 2011), Mylodai, Courtallum reserve forest Western Ghats (42.6 m2 ha-1, Parthasarathy and Karthikeyan 1997), Uppangala, central Western Ghats, India (39.7m2 ha-1; Pascal and Pelissier 1996), Kalakkadu southern Western Ghats (53.3-94.6 m2 ha-1; Parthasarathy et al. 1992), other dry forests in India (36.31 m2 ha-1, Prakasha et al. 2008; 8-74 m2 ha-1, Sahu et al. 2008) and pan tropical average (32 m2 ha-1, Dawkins 1959). The low stand basal area obtained in the present study indicates that the high level of human disturbance in these forests. Mimosaceae (7), Caesalpiniaceae (7), Fabaceae (5) and Rubiaceae (5) were the dominant families in terms of number of species in all the three study sites while Rubiaceae (5 genera) was the dominant family in terms of number of genera in study site II. Similarly, Fabaceae, Caesalpiniaceae and Mimosaceae was the most diverse

families in Chacocene Wildlife refuge, Pacific coast, Nicaragua and Mimosaceae, Lauraceae, Moraceae, Fabaceae, Euphorbiaceae and Rubiaceae were the dominant families in the tropical wet forest of La Selva, Costa Rica (Lieberman and Lieberman 1987) while Euphorbiaceae, Rubiaceae, Moraceae are the most diverse families southern Eastern Ghats sites (Arulpragasan and Parthasarathy 2010). Albizia amara (7522 number of stems/20ha) was the dominant species in terms of density and basal area (251.16 m2/20 ha) except one stand in undisturbed forest sites in which Chloroxylon swietenia was the dominant species. It indicates that Sathanur reserve forest is a mono-species dominated forest ecosystem. Similarly Mono dominance of trees species have been reported from various tropical forests in tropical Asia (Shorea curtisii in Malaysia, Whitmore 1984; Dryobalanops aromatica in Sumatra, Whitmore 1984; Shorea albida in Baram, Sarawak, Connell and Lowman 1989; Terminalia paniculata and Hopea parviflora in Western Ghats, Swamy et al. 2000; Eusideroxylon zwageri in Borneo and Poeciloneuron pauciflorum in Agumbe, India, Srinivas and Parthasarathy 2000; Tricalysia sphaerocarpa and Strychnos nux-vomica in Southern Eastern Ghats, Anbarashan and Parthasarathy 2013; Terminalia paniculata in Western Ghats, Sundarapandian and Swamy, 2000, and Sundarapandian and Pascal 2013) and elsewhere (Pentaclethra macroloba in Costa Rica, Lieberman et al. 1985; Celaenodendron mexicanum in Mexico, Martijena and Bullock 1994: Peltogyne gracilipes in Maraca Island, Brazil, Nascimento and Proctor 1997). There are two views were explained by the scientist for the mono dominance in forests, (i) disturbance (Newbery et al. 2004) and (ii) little or no disturbance over long period of time (Connell and Lowman 1989; Hart et al. 1989). Mono dominance in the present study may be due to anthropogenic disturbance. In addition to that lower diameter class (≤20 cm DBH) contribution was 82% in disturbed forests sties and 67-77% in other two sites this also supported the above views. Whereas Peh et al. (2011) stated that observational and experimental results were contradictory to several hypotheses related to mono dominance tropical forest systems. However, understating the cause of classical mono dominance is remained elusive (Peh et al. 2011). Ten tree species (33.33%) were rare in distribution because their presence is less than two individuals in all the 20 stands. This value is lower than that of other tropical forests (50% in West Java, Meijer 1959; 38% in Malaysia, Poore 1968; 55% in New guinea, Paijmans 1970; 40% in Barro Colorado Island, Panama, Thorington et al. 1982; 59% in Jengka forest reserve Malaysia, Ho et al. 1987; 40%, in Malaysian forests, Manokaran and Kochumen 1987; 43% in Kalrayan hill, Eastern Ghats, Kadavul and Parthasarathy 1999a; 60-62.5% in Western Ghats, Swamy et al. 2000: 46-73% in Periyar Wild life sanctuary, Western Ghats, Sundarapandian and Pascal 2013) while it is comparable with the values of Shervarayan hills (22.5%) of Eastern Ghats (Kadavul and Parthasarathy 1999b) and Coromandel coast26-31% of South India (Parthasarathy and Karthikeyan 1997). Twenty one tree species were


SANJAY GANDHI & SUNDARAPANDIAN – Tree diversity in tropical forests

commonly present in all the three study sites while 18 species occurred only in one of the three study sites and not in other two. Similarly, 12 common species and seven species were represented by only one individual in each plot was observed by Sukumar et al. (1992) in tropical deciduous forests of Mudumalai. The stems density decrease with increase in size class of trees observed in the present study is in agreement with other reports (Ho et al. 1987; Lieberman et al. 1985; Swaine et al. 1987; Campbell et al. 1992; Chandrashekara and Ramakrishnan 1994; Brokaw et al. 1997; Sundarapandian and Swamy 2000; Sundarapandian and Pascal 2013). This indicated that this forest have good regeneration potentials. Similarly, species richness also decreased with increase in diameter class. Similar observation was also made by Parthasarathy and Karthikeyan (1997), Swamy et al. (2000) and Sundarapandian and Pascal (2013). Dominant species in these study sites also showed a similar trend. However, greater proportion (81.9%) stems in disturbed site belonging to lower diameter class (≼3.2 cm - <10 cm) this may be attributed to illegal cutting of adult trees for fuel wood and domestic usage. Even though the undisturbed study plots were far away from the canal, have good regeneration potential. Since plots in undisturbed sites are adjacent to the agriculture field, the trees here obtain the water and resources from the crop field with a help of extensive root system. Human disturbances and cattle grazing in natural forest ecosystems have alter the structure and species composition and natural functions of ecosystems (Sundarapandian and Swamy 2000; Swamy et al. 2000; Kalabokidis et al. 2002, Arunachalam et al. 2004; Mishra et al. 2004; Anbarashan and Parthasarathy 2012). The impact of anthropogenic perturbation on forest characteristics would be site-specific (Htun et al. 2011). The tree species richness was observed to be lower in disturbed site compared to other two study sites. The lower number could be attributed to anthropogenic disturbance and cattle grazing. Even though it is a reserve forest, local people here are regularly collecting fire wood, felling, lopping and herding cattle for grazing. The disturbed sites are near to the road and agriculture field. Illegal selective felling of Chloroxylon swietenia for fence posts, house construction and other agricultural implements, and Albizia amara for fuel wood are quite common in this forest. Such a selective cutting may helpful as coppicing of those species which could affect forest species composition and stand structure. This has resulted in more density both species in the disturbed forests sites. The site near the canal has lower species richness than the undisturbed forests sites. This also may be due to human disturbance and edaphic factors. This study site has rocky surface area here and there which would alter the structure of the forests. However, this study site has greater basal area compared to disturbed and undisturbed forests sites which may be due to availability of water over long period in a year than other study sites. This is consistent with many of other dry forests, which are characterized by the presence of large number of low diameter-class individuals. Such a high density of small-

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sized individuals may also be attributed to the open canopy and lower densities of the larger individuals as suggested by Manokaran and Lafrankie (1990).

CONCLUSION It is evident from the results that in general, species diversity of tropical dry forests comparable with dry forest and is lower than most other wet and evergreen forest. The present study reveals that the variation in species richness and structure among study sties could be attributed to physical heterogeneity and anthropogenic perturbation. Our results indicate that the vegetation still possesses comparatively substantial species diversity and have good regeneration potential in spite of being under continuous biotic influences.

ACKNOWLEDGEMENTS First author thankfully acknowledge the financial support provided by University Grants Commission (UGC), Government of India for its fellowship. We thank Forest Departments for permission and help. We are also thankful to Prof. N. Parthasarathy, Department of Ecology and Environmental Sciences, Pondicherry University, India for his help identification of plants. We thank Dr. S. Jayakumar, Dept. of Ecology and Environmental Sciences, Pondicherry University, for his help in GIS mapping the location of the study area. We express our sincere thank to anonymous reviewers for their valuable comments and suggestions on the manuscript.

REFERENCES Anbarashan M, Parthasarathy N. 2012. Tree diversity and forest stand structure along disturbance gradients in India tropical dry evergreen forest. Ecotropica 18: 119-136. Anbarashan M, Parthasarathy N. 2013.Tree diversity of tropical dry evergreen forests dominated by single or mixed species on the Coromandel coast of India. Trop Ecol 54(2): 179-190. Anonymous 1992. World Conservation Monitoring Centre (WCMC). Global Biodiversity: Status of the Earths Living Resources. Chapman & Hall, London. Anonymous 2009. India forestry outlook study, Working paper. The Ministry of Environment and Forest, Government of India, New Delhi. Armentaras D, Rodriguez N, Retana J. 2009. Are conservation strategies effective in avoiding the deforestation of the Colombian Guyana Shield? Biol Conserv 42: 1411-1419. Arulpragasan L, Parthasarathy N. 2010. Landscape-level tree diversity assessment in tropical forests of southern Eastern Ghats, India. Flora 205: 728-737. Arunachalam A, Sarmah R, Adhikari D, Majumder M, Khan ML. 2004. Anthropogenic threats and biodiversity conservation in Namdapha nature reserve in the Indian Eastern Himalayas. Curr Sci 87: 447-454. Ayyappan N, Parthasarathy N. 2001. Patterns of tree diversity within a large scale permanent plot of tropical evergreen forest, Western Ghats, India. Ecotropica 7: 61-76. Baithalu MS, Anbarashan M, Parthasarathy N. 2013. Two-decadal changes in forest structure and tree diversity in a tropical dry evergreen forest on the Coromandel Coast of India, Trop Ecol 54(3): 397-403.


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Bijalwan A. 2010. Structure, composition and diversity of degraded dry tropical forest in Balamdi Watershed of Chhattisgarh plain, India. J Biodiv 1 (2): 119-124. Blackie R, Baldauf C, Gautier D, Gumbo D, Kassa H, Parthasarathy N, Paumgarten F, Sola P, Pulla S, Waeber P, Sunderland T. 2014. Tropical dry forests: The state of global knowledge and recommendations for future research. Discussion Paper. CIFOR, Bogor, Indonesia. Brokaw NVL, Grear JS, Tripplett KJ, Whitman AA, Mailtory EP. 1997. The Quebrada de Oro forest of Belize: Exceptional structure and high species richness. Trop Ecol 38: 247-258. Campbell DG, Daly DC, Prance GT, Maciel UN. 1986. Quantitative ecological inventory of terra firm and varzea tropical forest on the Rio Xingu, Brazilian Amazon. Brittonia 38: 369-393. Campbell DG, Stone JL, Rosas AJR. 1992. A comparison of the phytosociology and dynamics of three floodplain (Varzea) forest of known ages, Rio Jurua, western Brazilian Amazon. Bot J Linnaean Soc 108: 213237. Champion HG, Seth SK. 1986. Revised survey of forest types of India. Oxford and IBH Publishers, New Delhi. Chandrashekara UM, Ramakrishnan PS. 1994. Vegetation and gap dynamics of a tropical wet evergreen forest in the Western Ghats of Kerala, India. J Trop Ecol 10: 337-354. Chittibabu CV, Parthasarathy N. 2000. Attenuated tree species diversity in human-impacted tropical evergreen forest sites at Kolli hills, Eastern Ghats, India, Biodiv Conserv 9: 1493-1519. Condit R, Hubbell SP, Lafranke JV, Sukumar R, Manokaran N, Foster RB, Ashton PS. 1996. Species area and species individual relationships for tropical trees: a comparison of three 50-ha plots. J Ecol 84: 549-562. Condit R. 2000. Spatial patterns in the distribution of tropical tree species. Science 288, 1414-1418. Connell JH, Lowman MD. 1989. Low-diversity tropical rain forests: some possible mechanisms for their existence. Am Nat 134: 88-119. Dash PK, Mohapatra PP, Giri Rao Y. 2009. Diversity and distribution pattern of tree species Niyamgiri hill Ranges, Orissa, India. The Indian For 135: No.7. Dawkins HC. 1959. The volume increment of natural tropical high-forest and limitations of improvements. Empire For Rev 38: 175-180. Ganesh T, Ganesan R, Soubadradevy M, Davidar P, Bawa KS. 1996. Assessment of plant biodiversity at a mid - elevation evergreen forest of Kalakad-Mundanthurai Tiger reserve, Western Ghats, India. Curr Sci 71: 379-92. Gentry HA. 1988. Tree species richness of upper Amazonian forests. Proc Nat Acad Sci (USA) 85, 156-159. Gentry HA. 1995. Diversity and floristic composition of neotropical dry forests. In: Bullock SH, Harold AM, Medina E (eds). Seasonally Dry Tropical Forests. Cambridge University Press, Cambridge. Hart TB, Hart JA, Murphy PG. 1989. Mono dominant and species-rich forests in the humid tropics: causes for their co occurrence. Am Nat 133: 613-633. Heaney A, Proctor J. 1990. Preliminary studies on forest structure and floristics on Volcan Barva, Costa Rica. J Trop Ecol 6: 307-320. Hegde R, Enters T. 2000. Forest products and household economy: a case study from Mudumalai Wildlife Sanctuary, Southern India. Environ Conserv 27: 250-259. Ho CC, Newbery DMcC, Poore MED. 1987. Forest composition and inferred dynamics in Jengka Forest Reserve, Malaysia. J Trop Ecol 3: 25-56. Htun NZ, Mizoue N, Yoshida S. 2011. Tree species composition and Diversity at different levels of disturbance in Popa Mountain Park, Myanmar. Biotropica 43 (5): 597-603. Janzen DH. 1998. Tropical dry forests: the most endangered major tropical ecosystem. In: ed. Wilson EO, Biodiversity National. Academy Press, Washington DC. Jayakumar S, Arockiasamy DI, Britto SJ. 2002. Conserving forests in the Eastern Ghats through remote sensing and GIS - A case study in Kolli hills. Curr Sci 82: 1259-1267. Jha CS, Singh JS. 1990. Composition and dynamics of dry tropical forest in relation to soil. J Veg Sci 1: 609-614. Kadavul K, Parthasarathy N. 1999a. Structure and composition of woody species in tropical semi-evergreen forest of Kalrayan hills, Eastern Ghats, India. Trop. Ecol 40: 77-90 Kadavul K, Parthasarathy N. 1999b. Plant biodiversity and conservation of tropical semi-evergreen forest in the Shervarayan hills of Eastern Ghats, India. Biodiv Conserv 8: 421-439.

Kalabokidis D, Gatzojannis S, Galatsidas S. 2002. Introducing wildfire into forest management planning towards a conceptual approach. For Ecol Manage 158: 41-50. Knight DHA. 1975. Phytosociological analysis of species rich tropical forest on Barro Colorado Island, Panama. Ecol Monogr 45: 259-284. Kobe RK. 1999. Light gradient partitioning among tropical tree species through differential seedling mortality and growth. Ecology 80 187201. Kochumen KM, Lafrankie JV Jr, Manokaran N. 1990. Floristic composition of Pasoh forest reserves, a lowland rainforest in peninsular Malaysia. J Trop For Sci 3: 1-13. Krishnamurthy YL, Prakasha HM, Nanda A, Krishnappa M, Dattaraja HS, Suresh, HS. 2010. Vegetation structure and floristic composition of a tropical dry deciduous forest in Bhadra Wildlife Sanctuary, Karnataka, India. Trop Ecol 51 (2): 235-246. Kumar SR, Kalavathy S. 2012. Status and Diversity of Tree, Seedlings and Saplings in Tropical Dry Deciduous Forest of North Gujarat Region (Ngr) Gujarat India Inter J Geol Ear Environ Sci 2 (3): 103112. Li YD, Zhou GY, Zeng QB, Wu ZM, Luo TS. 2003. The values for ecological service function of tropical natural forest in Hainan Island, China. For Res 16: 146-152. Lieberman D, Lieberman M, Hartshorn G, Peralta R. 1985. Growth rates and age-size relationships of tropical wet forest trees in Costa Rica. J Trop Ecol 1: 97-109. Lieberman D, Lieberman M. 1987. Forest tree growth and dynamics at La Selva. Costa Rica (1969-1982). J Trop Ecol 3: 347-369. Mani S, Parthasarathy N. 2005. Biodiversity assessment of trees in five inland tropical dry evergreen forests of peninsular India. Syst Biodiv 3: 1-12. Manokaran N, Kochumen KM. 1987. Recruitment, growth and mortality patterns and stand turnover of Dipterocarp forest in Peninsular In: Ecological Theory. University of Chicago Press, Chicago Manokaran N. La Frankie JV. Jr. 1990. Stand structure of Pasoh forest reserve, a lowland rain forest in Peninsular Malaysia. J Trop For Sci 3: 14-24. Martijena NE, Bullock SH. 1994. Monospecific dominance of a tropical deciduous forest in Mexico. J Biogeogr 21: 63-74. Medina E. 1995. Neotropical dry forests. In: eds. Bullock SH, Mooney H.A and Medina, E, Seasonally Dry Tropical Forests. Cambridge University Press Cambridge, 146-194. Meijer W. 1959 Plant sociological analysis of montane rain forest near Tji bodes, West Java. Acta Bot Neerlandica 8: 277-291. Mishra N, Tripathi OP, Tripathi RS, Pandey HN. 2004. Effect of anthropogenic disturbance on plant biodiversity and community structure of a sacred grove in Meghalaya, northeast India. Biodiv Conserv 13: 421-436. Mooney HA, Bullock SH, Medina E. 1995. Introduction. In: Bullock SH, Mooney HA, Medina E (eds.). Seasonally Dry Tropical Forests. Cambridge Univ. Press, Cambridge. Murphy PG, Lugo AE. 1986. Ecology of dry tropical forest. Ann Rev Ecol Syst 17: 67-88. Nascimento MT, Proctor J. 1997. Soil and plant changes across a monodominant rain forest boundary on Maraca Island, Roraima, Brazil. Glob Ecol Biogeogr 6: 387-395. Natarajan D, Britto SJ, Balaguru B, Nagamurugan N, Soosairaj S, Arockiasamy DI. 2004. Identification of conservation priority sites using remote sensing and GIS - A case study from Chitteri hills, Eastern Ghats, Tamil Nadu. Curr Sci 86: 1316-1323. Newbery DM, van der Burgt X M, Moravie MA. 2004. Structure and inferred dynamics of a large glove of Microberlinia bisulcata trees in central African rain forest: the possible role of periods of multiple disturbance events. J Trop Ecol 20: 131-143. Paijmans K. 1970. An analysis of four tropical rainforest sites in New Guinea. J Ecol 58: 77-101. Panda PC, Mahapatra AK, Acharya PK, Debata AK. 2013. Plant diversity in tropical deciduous forests of Eastern Ghats, India: A landscape level assessment. Inter J Biodiv Conserv 5 (10): 625-639. Parthasarathy N, Karthikeyan R. 1997. Biodiversity and population density of woody species in a tropical evergreen forest in Courtallum Reserve Forest, Western Ghats, India. Trop Ecol 38: 297-306. Parthasarathy N, Kinkal V, Praveen Kumar L. 1992. Plant species diversity and human impacts in the tropical wet evergreen forests of Southern Western Ghats. In: Indo-French workshop on tropical forest ecosystems: natural functioning and anthropogenic impact. November 1992. Pondicherry French Institute, Pondicherry.


SANJAY GANDHI & SUNDARAPANDIAN – Tree diversity in tropical forests Pascal JP, Pelissier R. 1996. Structure and floristic composition of a tropical evergreen forest in south-west India. J Trop Ecol 12: 191214. Pattanayak S, Sills EO, Mehta AD, Kramer RA. 2003. Local uses of parks: uncovering patterns of household production from forests of Siberut, Indonesia. Conserv Soc 1: 209-222. Pearson TR, Burslem DFRP, Goeriz RE, Dalling JW. 2003. Interactions of gap size and herbivory on establishment, growth and survival of three species of neotropical pioneer trees. Ecology 91: 785-796. Peh, KSH, Lewis SL, Lloyd J. 2011. Mechanism of mono dominance in diverse tropical tree-dominated systems. J Ecol 99: 891-898. Pitman NCA, Terborgh JW, Silman MR, Percy NV, Neill DA, Ceron CE, Palacios WA, Aulestia M. 2002. A comparison of tree species diversity in two upper Amazonian forests. Ecology 83: 3210-3224. Poore MED. 1968. Studies in Malaysian rainforest. 1. The forest on Triassic sediments in Jengka forest reserve. J Ecol 56: 143-196. Prakasha HM, Nanda A, Krishnamurthy YL. 2008. Stand structure of a tropical dry deciduous forest in Bhadra wildlife sanctuary, Karnataka southern India, Bull Nation Inst Ecol 19: 1-7. Reddy CS, Prachi Ugle. 2008. Tree species diversity and distribution patterns in tropical forest of Eastern Ghats, India: a case study. Forestry & Ecology Division, National Remote Sensing Agency, Balanagar, Hyderabad 500037, India. Life Sci J 4: 87-93 Reddy CS, Shipha Babar A, Giriraj KN, Reddy and K, Thulsi Rao. 2008. Structure and Floristic Composition of Tree Diversity in Tropical Dry Deciduous Forest of Eastern Ghats, Southern Andhra Pradesh, India. Asia J Sci Res1: 57-64. Reddy CS, Babar S, Amarnath G, Pattanaik C. 2011. Structure and floristic composition of tree stand in tropical forest in the Eastern Ghats of northern Andhra Pradesh, India. J For Res 22(4): 491-500. Reddy CS, Pattanaik C, Mohapatra A, Biswal AK. 2007. Phytosociological observations on tree diversity of tropical forest of Similipal Biosphere Reserve, Orissa, India. Taiwania, 52: 352-359. Sagar R, Raghubanshi AS, Singh JS. 2008. Comparison of community composition and species diversity of understorey and overstorey tree species in a dry tropical forest of northern India. J Environ Manag 88 1037-1046. Sagar R, Singh JS. 2005. Structure, diversity, and regeneration of tropical dry deciduous forest of northern India. Biodiv Conserv 14: 935-959. Sahu SC, Dhal NK, Mohanty RC. 2012. Tree species diversity, distribution and population structure in a tropical dry deciduous forest of Malyagiri Hill ranges, Eastern Ghats, India. Trop Ecol 53(2): 163168. Sahu PK, Sagar R, Singh JS. 2008. Tropical forest structure and diversity in relation to altitude and disturbance in a Biosphere Reserve in central India. Appl Veg Sci 11: 461-470.

179

Singh JS, Singh SP, Saxena AK, Rawat YS. 1984. India’s Silent valley and its threatened rain forest ecosystem. Environ Conserv 11: 223233. Singh SP, Rawat YS, Garkoti SC. 1997. Failure of brown oak (Quercus semecarpifolia) to regenerate in the Central Himalaya: a case of environmental semi-surprise. Curr Sci 73: 371-374. Srinivas V, Parthasarathy N. 2000. Comparative analysis of tree diversity and dispersion in the tropical lowland evergreen forest of Agumbe, central Western Ghats, India. Trop Biodiv 7: 45-60. Sukumar R, Dattaraja HS, Suresh HS, Radhakrishnan J, Vasudeva R, Nirmala S, Joshi, NV. 1992. Long-term monitoring of vegetation in a tropical deciduous forest in Mudumalai, southern India. Curr Sci 62: 608-616. Sundarapandian SM, Pascal J, Karoor. 2013. Edge effects on plant diversity in tropical forest ecosystems at Periyar Wildlife sanctuary in the Western Ghats of India. J For Res 24 (3): 403-418. Sundarapandian SM, Swamy PS. 2000. Forest ecosystem structure and composition along the altitudinal gradient in the Western Ghats, South India. J Trop For Sci 12: 104-123. Swaine MD, Lieberman D, Putz FE. 1987. The dynamics of tree populations in tropical forest: a review. J Trop Ecol 3: 359-366. Swamy PS, Sundarapandian SM, Chandrasekar P, Chandrasekaran S. 2000. Plant species diversity and tree population structure of a humid tropical forest in Tamil Nadu, India. Biodiv Conserv 9: 1643-1669. Thakur AS, Khare PK. 2006. Species diversity and dominance in tropical dry deciduous forest ecosystem. J Environ Res Dev 1(1): 26-31. Thorington Jr, RW, Tannenbaum B, Tarak A, Rudran R. 1982. Distribution of trees on Barro Colorado Island: A five hectare sample. In: Leigh EG, Jr, Rand AS, Windsor DM (eds). The ecology of a tropical forest-seasonal rhythms and long-term changes. Smithsonian Institution Press, Washington, DC. Uma Shankar. 2001. A case of high tree diversity in a Sal (Shorea robusta) - dominated lowland forest of Eastern Himalaya: Floristic composition, regeneration and conservation. Curr Sci 81: 776-786. Waeber P, Ramesh B, Parthasarathy N, Pulla S, Garcia C. 2012. Seasonally dry tropical forests in South Asia: A research agenda. A research agenda to contribute to the discussions on “Key Issues for the Global Dry Forests” workshop organized by CIFOR/For Dev in Zurich, 28–30th October 2012. Wang XC. 2003. Problems and relevant strategies on natural forest protection in Changobai Mountain forest area. J For Res 14: 259-262. Whitmore, TC. 1984. Tropical rain forests of the Far East, second edition. Clarendon Press, Oxford, U.K. Yosi C, Keenan R, Fox J. 2011. Forest dynamics after selective timber harvesting in Papua New Guinea. For Ecol Manage 262: 895-902.


BIODIVERSITAS Volume 15, Number 2, October 2014 Pages: 180-185

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150209

Biology of black bass Micropterus salmoides (Lacepède, 1802) fifty years after the introduction in a small drainage of the Upper Paraná River basin, Brazil ♥

DIEGO AZEVEDO ZOCCAL GARCIA , ALEXANDRO DERLY AUGUSTO COSTA, GEAN LUCAS ALVES LEME, MÁRIO LUÍS ORSI Laboratory of Fish Ecology and Invasion Biology, Department of Animal and Plant Biology, Biological Sciences Center, State University of Londrina, Londrina 10.011, 86057-970, Londrina, Paraná, Brazil. Tel. +554330281114, ♥email: diegoazgarcia@hotmail.com. Manuscript received: 30 May 2014. Revision accepted: 13 June 2014.

ABSTRACT Garcia DAZ, Costa ADA, Leme GLA, Orsi ML. 2014. Biology of black bass Micropterus salmoides (Lacepède, 1802) fifty years after the introduction in a small drainage of the Upper Paraná River basin, Brazil. Biodiversitas 15: 180-185. The dispersion of organisms by human actions has been the major source of changes in the natural distribution of species, making the introduction of non-native species a threat to biological diversity. Micropterus salmoides is a fish originating from North America, which was introduced in a lagoon in the Ecological Park of Fazenda Monte Alegre in southern Brazil over 50 years ago. The reproductive activity, weight-length relationship and relative condition factor were analyzed to evaluate the health parameters of the species. The result allows us to classify the reproductive activity of this population as moderate. It was found that the health condition patterns are identical to those theoretically expected. The occurrence of individuals downstream of the lagoon shows that the population has been presenting dispersion conditions to new environments, posing a threat to local biodiversity. Management measures, such as isolation or eradication of the population, are required to control the species within the studied site, and prevent its dispersion into natural watercourses. Key words: Centrarchidae, dispersion, introduction of species, non-native species, Tibagi River.

INTRODUCTION The accidental or deliberate introduction of non-native species, generally for economic purposes, never considering the possible ecological impacts (Vitule 2009), is one of the major global changes caused by man’s actions over the centuries. In aquatic environments, the introduction of non-native fish can cause trophic changes to the habitat and to the community, leading to hybridization, loss of genetic diversity, as well as to the introduction of pathogens and parasites (Delariva and Agostinho 1999), thus representing a human activity of great risk to biological diversity (Enger et al. 1989). Micropterus salmoides (Lecepède 1802), a member of the order Perciformes, family Centrarchidae, is a fish species native to North America popularly known as black bass or largemouth bass. This species is naturally distributed in the area between the Hudson Bay basin and the St. Lawrence-Great Lakes basin to the Mississippi River basins, and the Atlantic drainages from North Carolina to Florida and northern Mexico (Page and Burr 1991). Found in slow flowing environments and turbid waters of rivers and lakes (Tomerelli and Eberle 1990), the adult M. salmoides is a top predator in the aquatic ecosystem. When juvenile, it feeds on zooplankton, insects and other invertebrates, and during adulthood, preys on crustaceans, fish and other invertebrates (Hickley et al. 1994; García-Berthou 2002). In its place of origin, its

maximum recorded length is 97 cm (Page and Burr 1991) and its maximum mass, 10.09 kg (Tomelleri and Eberle 1990). This species was introduced in many countries, such as Portugal (Colares-Pereira et al. 1999), Spain (Elvira and Almodóvar 2001), Italy (Orrù et al. 2010), Czech Republic (Musil et al. 2010), Kenya (Britton and Harper 2006), Mozambique (Weyl and Hecht 1999), Japan (Takamura 2007), and South Korea (Lee et al. 2010), due to its qualities, which make it suitable for sport-fishing. In Brazil, M. salmoides was introduced in Belo Horizonte, in 1922, for aquaculture purposes. Nowadays, it is distributed through artificial systems, such as lagoons and semi-natural reservoirs, from Rio de Janeiro to Rio Grande do Sul (Schulz and Leal 2005). Many invasions have resulted in the establishment of predator populations in many regions, which can have an impact on native fish populations through predation pressure (Gratwicke and Marshall 2001). Based on these facts, a list of the 100 worst invasive species in the world was elaborated, including the M. salmoides among the invasive alien species (Lowe et al. 2000). This paper aims to characterize the biology of a population of M. salmoides introduced in Brazil grounded in information about its health condition and reproductive activity, and also evaluate the evidence of dispersal from the study site.


GARCIA et al. – Biology of Micropterus salmoides in Brazil

MATERIALS AND METHODS The Ecological Park of Fazenda, Monte Alegre, Brazil was established in 1980, in an area of 11,116 ha, owned by the company Klabin S.A., a manufacturer of wood pulp and paper products. Located within this area is the João Pinheiro Stream, a subaffluent of the Tibagi River, Upper Paraná River basin. The introduction of Micropterus salmoides at this location occurred in the 1950s, where a self-sustaining population was established. Samplings were accomplished in this area from 12 to 16 March 2012 and 11 to 15 March 2013. Due to restrictions in the collections in the Ecological Park, this was the period for which sampling was authorized. Two sampling collection points established, one at the impoundment (Point 1) and the other downstream of it in a lotic stretch of the João Pinheiro Stream (Point 2) (Figure 1).

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The impoundment, whose ravine harbors a riparian forest of secondary composition, has semi-lotic characteristics. The environment is eutrophic, has low transparency, with algae and macrophytes on the surface and a silty bed. Its average width is 40 m and its depth ranges from 0.82 to 2.4 m. The stream is mostly a lotic environment with a bedrock and high transparency. Its width varies from 3.94 to 4.49 m and its depth ranges from 0.21 to 0.31 m. The average altitude is 885 m; the climate is subtropical with an average temperature of 16.3 ºC in winter and 23.2 ºC in summer; with an average annual rainfall of 1,478 mm (Reis et al. 2006). The sample collection was accomplished using drag nets, trawls, sieves and fishing with artificial baits. In point 2 were not used the artificial baits. A period of two hours was established for each point, along an extension of 30 m at point 1 and 100 m at point 2. The variation in the capture methods occurred to include all size classes of fish and according to the characteristics of each point.

Figure 1. Location of João Pinheiro Stream, subaffluent of the Tibagi River indicating the sampling sites of Micropterus salmoides: point 1 (24º16’58.96”S, 50º35’00.04”W), point 2 (24º17’04.49”S, 50º34’58.71”W); and the detected sites.


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The animals collected were exposed to anesthetic benzocaine until death and the biometry of the individuals was obtained immediately after the animals were fished considering the total length of the samples (Lt, to 0.1 cm) and the total mass (Wt, to 0.1 g). Later, a ventral incision was performed to remove the stomach and the gonads to determine the sex of the individuals. The fishes were fixed in 10% buffered formalin with calcium carbonate. After 48h, they were transferred to 70% ethanol and then deposited in the ichthyological collection of the Museum of Zoology, State University of Londrina (MZUEL 6507, 6508). Analyses of the status and trends of introduced species are important to understand their dynamics and implement possible management measures (Gomiero et al. 2008). In this regard, the mass-length relationship is a quick and easy way used to describe the growth without considering the fish age (Gomiero et al. 2010). The determination of the mass-length relationship in fish can describe the structural characteristics of individuals within the population (Benedito-Cecílio and Agostinho 1997). This ratio was obtained using the relationship between the mean total mass (Wt) and the total length (Lt) of the individuals and is expressed by the equation: Wt = Ф. Ltθ (Wt = total mass of individuals; Ф = linear coefficient; Lt = total length of individuals; θ = angular coefficient (constant related to the type of growth of individuals) (Barbieri et al. 1981). If θ = 3, the allometric growth is isometric, this means that the increase in mass follows the increase in length; if θ > 3, positive allometric grow, means that there is an increase in mass greater than in length; and if θ < 3, negative allometric grow, and there is an increase in length greater than in mass. The relative condition factor (Kn) is obtained from the mass-length relationship and used to determine the condition of health, i.e., the state of well-being of the fish and that reflects the recent nutritional status, independent of the species. The ratio is obtained between the total mass observed and the mass theoretically expected for a given length (Kn = Wt / We). It is considered, as defined by Le Cren (1951), where, Wt = total observed mass of the individual; We = total expected mass of the individual: We = Ф. Ltθ (θ = angular coefficient obtained from the masslength relationship). The mean value was calculated and then compared to the standard value Kn = 1.0 by the Student's “t” test (p < 0.05). The frequency of occurrence of feeding (FOF) assesses the percentage of stomachs in which a particular food item is found in relation to the total number of stomachs analyzed for each sampling point. The stomach contents were analyzed under a stereo microscope and food was identified to the most detailed taxonomic categories. Food analysis was accomplished using the Amundsen graphic method (Amundsen et al. 1996) using prey distribution, prey-specific abundance and frequency of occurrence. For the following analyses, only adult individuals were considered. For the provision of values for the analysis of the gonad somatic index (Ig), the gonad mass of each individual was calculated in grams (Wg) using the equation: Ig = Wg.100/ Wt (Wg = mass of the gonad, Wt =

total mass) (Vazzoler 1996). The reproductive activity index (RAI) proposed by Agostinho et al. (1993) was estimated based on the Ig data. According to the RAI results, the reproductive activity can be classified as incipient (0 ≥ RAI <5), moderate (≥ 5 RAI <10), intense (10 ≥ RAI ≤ 20), and very intense (RAI ≥ 20).

RESULTS AND DISCUSSION Eighty-one (81) specimens of M. salmoides were captured and analyzed. Among those, 20 females and 24 males were collected from point 1, and four females, three males and 30 immature individuals, from point 2. The analysis of the mass-length relationship revealed a linear coefficient (Ф) value of 0.01 and an angular coefficient (θ) value of 3.01, characterizing an isometric growth, that the increase in mass followed the increase in length. The mass-length relationship, linear regression with the plotted pairs of data, equation and value of the determination coefficient (R2) are shown in Figure 2(a). It was found that, on average, the degree of healthiness was equal to that theoretically expected (Kn = 0.99 ± 0.13 (0.63-1.50), p = 0.56) [Figure 2(b)].

Figure 2. A. Mass-length relationship curve for Micropterus salmoides; B. Variation of the relative condition factor values (Kn) compared to the standard value (Kn = 1.0) in relation to the total mass (Wt).


GARCIA et al. – Biology of Micropterus salmoides in Brazil Table 1. Frequency of occurrence of feeding for categories consumed by 81 individuals of Micropterus salmoides. DR0: Stomach degree of repletion. Food categories Crustacea Insecta Plant material Fish Unidentified DR0

Point 1 (n = 44) 13.33 31.67 11.67 8.34 25.00 10.00

Point 2 (n = 37 ) 5.27 23.68 0.00 5.27 13.15 52.63

Figure 3. Graphic representation of prey-specific abundance in function of the frequency of occurrence of the food categories registered in the gastric contents of Micropterus salmoides.

Analysis of the frequency of occurrence of feed revealed five food categories: Crustacea, Insecta, Plant Material, Fish, and Unidentified due to advanced state of digestion (Table 1). The most frequent food categories during the sampling period were Insecta and Unidentified in point 1, while in point 2, approximately 53% of the stomachs of the individuals were empty (Figure 3). Among the fish that had their sex determined, 47.06% were females, while males predominated with 52.94%. The reproductive activity index (RAI) value was 8.08 (Ig = 0.58). This enabled the demonstration that the population in the impoundment had a moderate reproductive activity during the sampling period. The survival of the species in different areas depends on the environmental adaptability, which exerts an influence on feeding and reproductive events throughout the life cycle of the species (Gomiero et al. 2010) in such a way that changes in the condition factor may be related to the characteristics of each environment (Le Cren 1951). The mass-length relationship and relative condition factor of introduced species vary with the time of introduction, population size, environmental characteristics, intra-and interspecific interactions, and sexual maturity (Gomiero et al. 2008). Outside their original range in North America, this species does not reach the same maximum size and age, but in a lake in Kenya, equatorial climate, the growth is faster (Britton et al. 2010). This rapid growth can be attributed to the warmer conditions of the water in this

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environmental receptor, which in turn optimize the species feeding, growth and reproduction (Hickley et al. 1994, Britton et al. 2010). Established populations of introduced fish can alter the energy flow of an ecosystem by filling unoccupied ecological niches, thereby competing with native fish (Scott and Helfman 2001) and presenting trophic adaptability in response to changes in prey availability (Nobriga and Feyrer 2008). Micropterus salmoides, an almost exclusively piscivorous species (Keast 1985), is a top predator of the North American aquatic ecosystem (Heidinger 1975). However, after more than 50 years of introduction into the point 1, this fish began to prey on available food resources. Insecta was the dominant food category in the diet of fishes, and, according to the graphical method of Amundsen et al. (1996), the species tended to specialize in their food preferences. On the other hand, some individuals fed on crustaceans and fish, which are items with high abundance and low frequency of occurrence. As for the plant material found in the stomachs, this type of food must have been eaten on an occasional basis, since preys, such as insects and crustaceans, are housed in aquatic plants. It is possible to infer that in the early years of introduction occurred intense piscivory at point 1, and consequently, a reduction in richness and abundance of native fish. In the studied impoundment, no other fish species were collected, and only the common carp Cyprinus carpio Linnaeus 1758, another introduced species, was detected (personal observation). With the decrease of fish, this population acquired preference for insects. His intense piscivory, which seems to occur in the early years of introduction, can endanger the maintenance of the fish diversity. In the Tibagi River basin new species have been described, particularly in small watercourses. As an example, we emphasize the new armored catfish, Otothyropsis biamnicus (Calegari et al. 2013), whose type locality is the Harmonia River. The occurrence of individuals downstream of the impoundment suggests that this species encounters favorable conditions for the dispersal of young individuals into new environments of the hydrographic basin. This is substantiated by the fact that the thirty individuals sampled in the stream did not yet present the first gonad maturation, i.e., they were immature. Even having observed displacing movements downstream of the impoundment, it is not possible to affirm that the specimens of M. salmoides have been finding favorable conditions for their establishment in this downstream environment, due to their small size, as well as to the small number of captures of adult individuals. It is worth considering that the JoĂŁo Pinheiro Stream belongs to the Tibagi River drainage, whence escapes of M. salmoides from fish farms have occurred, as reported by Orsi and Agostinho (1999). It is likely that this species has reached the self-sustaining population conditions in the point 1 becoming able to offer a propagule pressure in the basin. The existence of viable populations in restricted areas can act as propagule pressure points that may favor the initial population to become invasive to the basin (Simberloff 2009).


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Several authors have reported successful invasions of M. salmoides, as well as damage to the biota at the sites of invasion. The presence of established populations of this species in Africa caused a striking decrease in fish diversity on the sites (Britton and Harper 2006). The introduction of this species in the European Continent occurred in the midnineteenth century, and since then it is considered established in various watercourses (Musil et al. 2010). Lee et al. (2010) recorded its introduction in Asia in 1973, which significantly affected the diversity of native fish species. In Brazil, the number of fish species described has increased significantly every decade, mainly due to the discovery of small species, which are often confined in smaller watercourses. The Varanal Stream, near the João Pinheiro micro-basin, has 15 identified species. This is a relatively high number for the nearby streams (Shibatta et al. 2008). Point 1 is located 8 km from the Tibagi River. Among them, there is another artificial system (Figure 1), in Harmony River where there is occurrence of adults of M. salmoides (Vitule et al. in prep.). Further, downstream of this area, is the dam of the Mauá hydroelectric plant, reservoir where also has been detected the specie (Fishermen Association of Telêmaco Borba, personal communication). Its reservoir can further intensify the problem, as these artificially flooded areas facilitate the introduction and establishment of species (Johnson et al. 2008). Thus, it is possible that individuals of M. salmoides disperse to other streams of the Tibagi River basin, due to the facilitation brought about by the reservoir. If this occurs, the inventory and knowledge about the dynamics of these streams environments may be impaired due to alterations and impacts caused by the species. The isometric growth, good degree of healthiness, moderate reproductive activity and displacement of M. salmoides juveniles downstream of the lagoon suggest that this species found favorable conditions for its establishment on the site and that there is a considerable risk that this species will become invasive to the basin. The risk of invasion of non-native species present in the Upper Paraná River basin was assessed and M. salmoides was classified as a species with a moderate risk of invasion, and its use and maintenance in Brazil was regarded as ecologically unwise (Britton and Orsi 2012). This information will support actions to contain population invasions, confining them to their place of occurrence, thus preventing their dispersion or, if possible, taking measures for their eradication (Copp et al. 2005; Britton et al. 2011).

CONCLUSION It was found that the health condition patterns are identical to those theoretically expected. The occurrence of individuals downstream of the lagoon shows that the population has been presenting dispersion conditions to new environments, posing a threat to local biodiversity. Management measures, such as isolation or eradication of the population, are required to control the species within

the studied site, and prevent its dispersion into natural watercourses.

ACKNOWLEDGMENTS The authors thank the staff of the Ecological Park of Fazenda Monte Alegre, Brazil for their invaluable assistance and provision of the facilities during the period of this work and the Biological Sciences Graduate Program of the State University of Londrina, Brazil for its logistic support.

REFERENCES Agostinho AA, Mendes PV, Suzuki IH, Canzi C. 1993. Avaliação da atividade reprodutiva da assembléia de peixes dos primeiros quilômetros a jusante do reservatório de Itaipu. Revista Unimar 15: 175-189. [Portuguese] Amundsen PA, Gabler HM, Staldvik FJ. 1996. A new approach to graphical analysis of feeding strategy from stomach contents data – modification of the Costello (1990) method. J Fish Biology 48: 607614. Barbieri G, Pereira JA, Costa FJCB. 1981. Crescimento de Geophagus brasiliensis (Quoy & Gaimard, 1824) (Pisces-Cichlidae) pelo método do retrocálculo. Boletim do Núcleo de Estudos Cis. Mar. 4: 9-32. [Portuguese] Benedito-Cecílio E, Agostinho AA. 1997. Estrutura das populações de peixes do reservatório de Segredo. In: Agostinho AA, Gomes LC (eds) Reservatório de segredo: bases ecológicas para o manejo. EDUEM, Maringá. [Portuguese] Britton JR, Gozlan RE, Copp GH. 2011. Managing non-native fish in the environment. Fish Fisheries 12: 256-274. Britton JR, Harper DM, Oyugi DO. 2010. Is the fast growth of an equatorial Micropterus salmoides population explained by high water temperature? Ecol Freshwater Fish 19: 228-238. Britton JR, Harper DM. 2006. Length–weight relationships of fish species in the freshwater rift valley lakes of Kenya. J Appl Ichthyol 22: 334336. Britton JR, Orsi ML. 2012. Non native fish in aquaculture and sport fishing in Brazil: Economic benefits versus risks to fish diversity in the upper River Paraná Basin. Rev Fish Biol Fisheries 22: 11-22. Calegari BB, Lehmann AP, Reis RE. 2013. Two new species of cascudinhos of the genus Otothyropsis (Siluriformes: Hypoptopomatinae) from the rio Paraná basin, Brasil. Zootaxa 3619: 130-144. Colares-Pereira MJC, Cowx IG, Rodrigues JA, Rogado L, Moreira da Costa L. 1999. The status of Anaecypris hispanica in Portugal: problems of conserving a highly endangered Iberian fish. Biol Conserv 88: 207-212. Copp GH, Bianco PG, Bogutskaya NG, Eros T, Falka I, Ferreira MT, Fox MG, Freyhof J, Gozlan RE, Grabowska J, Kovác V, Moreno-Amich R, Naseka MA, Penáz M, Povz M, Przybylski M, Robillard M, Russel CL, Stakènas S, Sumer S, Vila-Gisper A, Wiesner C. 2005. To be or not to be, a non-native freshwater fish? J Appl Ichthyol 21: 242-262. Delariva RL, Agostinho AA. 1999. Introdução de espécies: uma síntese comentada. Acta Sci Biol Sci 21: 255-262. [Portuguese] Elvira B, Almodóvar A. 2001. Freshwater fish introductions in Spain: facts and figures at the beginning of the 21st century. J Fish Biology 59: 323-331. Enger ED, Kormelink JR, Smith BF, Smith RJ. 1989. Environmental science: the study of interrelationships. Brown Publishers, Dubuque. García-Berthou EG. 2002. Ontogenetic diet shifts and interrupted piscivory in introduced largemouth bass (Micropterus salmoides). Int Rev Hydrobiology 87: 353-363. Gomiero LM, Junior GAV, Braga FMS. 2010. Relação peso-comprimento e fator de condição relativo de Oligosarcus hepsetus (Cuvier, 1829) no Parque Estadual Serra do Mar – Núcleo Santa Virgínia, Mata Atlântica, estado de São Paulo, Brasil. Biota Neotrop 10: 101-105. Gomiero LM, Junior GAV, Naous F. 2008. Relação peso-comprimento e fator de condição de Cichla kelberi (Perciformes, Cichlidae)


GARCIA et al. – Biology of Micropterus salmoides in Brazil introduzidos em um lago artificial no Sudeste brasileiro. Acta Sci Biol Sci 30: 173-178. [Portuguese] Gratwicke B, Marshall BE. 2001. The relationship between the exotic predators Micropterus salmoides and Serranochromis robustus and native stream fishes in Zimbabwe. J Fish Biology 58: 68-75. Heidinger RC. 1975. Life history and biology of the largemouth bass. In: Stroud RH, Clepper H (eds) Black bass biology and management. Washington DC. Hickley P, North R, Muchiri SM, Harper DM. 1994. The diet of largemouth bass, Micropterus salmoides, in Lake Naivasha, Kenya. J Fish Biology 44: 607-619. Johnson PTJ, Olden JD, Zanden MJV. 2008. Dam invaders: impoundments facilitate biological invasions into freshwaters. Front Ecol Environ 6: 357-363. Keast A. 1985. The piscivore feeding guild of fishes in small freshwater ecosystems. Environ Biol Fish 12: 119-129. Le Cren ED. 1951. The length-weight relationship and seasonal cycle in gonad weight and condition in the perch (Perca fluviatilis). J Animal Ecol 20: 201-219. Lee WO, Park JY, Yoon SW, Kim CH. 2010. A hermaphroditic specimen of the introduced largemouth bass, Micropterus salmoides (Perciformes; Centrarchidae), from Cheongpyeong Lake, South Korea. J Appl Ichthyol 26: 145-146. Lowe S, Browne M, Boudjelas S, De Poorter M. 2000. 100 of the world’s worst invasive alien species a selection from the global invasive species database, Auckland, New Zealand. Musil J, Jurajda P, Adámek Z, Horký P, Slavík O. 2010. Non-native fish introductions in the Czech Republic – species inventory, facts and future perspectives. J Appl Ichthyol 26: 38-45. Nobriga ML, Feyrer F. 2008. Diet composition in San Francisco Estuary striped bass: does trophic adaptability have its limits? Environ Biol Fish 83: 495-503. Orrù F, Deiana AM, Cau A. 2010. Introduction and distribution of alien freshwater fishes on the island of Sardinia (Italy): an assessment on the basis of existing data sources. J Appl Ichthyol 26: 46-52.

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Orsi ML, Agostinho AA. 1999. Introdução de espécies de peixes por escapes acidentais de tanques de cultivo em rios da Bacia do Rio Paraná, Brasil. Rev Bras Zool 16: 557-560. [Portuguese] Page LM, Burr BM. 1991. A field guide to freshwater fishes of North America north of Mexico, Houghton Mifflin Company, Boston. Reis NR, Peracchi AL, Lima IP, Pedro WA. 2006. Riqueza de espécies de morcegos (Mammalia, Chiroptera) em dois diferentes habitats, na região centro-sul do Paraná, sul do Brasil. Rev Bras Zool 23: 813816. [Portuguese] Schulz UH, Leal ME. 2005. Growth and mortality of black bass, Micropterus salmoides (Pisces, Centrarchidae, Lacepède, 1802) in a reservoir in Southern Brazil. Braz J Biol 65: 363-369. Scott MC, Helfman GS. 2001. Native invasions, homogenization, and mismeasure of integrity of fish assemblages. Fisheries 26: 6-13. Shibatta OA, Bennemann ST, Mori H, Silva DF. 2008. Riqueza biológica e ecológica dos peixes do Ribeirão Varanal. In: Bennemann ST, Shibatta AO, Vieira AOS (eds) A flora e a fauna do Ribeirão Varanal: um estudo da biodiversidade no Paraná. EDUEL, Londrina. [Portuguese] Simberloff D. 2009. The role of propagule pressure in biological invasions. Ann Rev Ecol Evol Syst 40: 81-102. Takamura K. 2007. Performance as a fish predator of largemouth bass [Micropterus salmoides (Lacepède)] invading Japanese freshwaters: a review. Ecol Res 22: 940-946. Tomelleri JR, Eberle ME. 1990. Fishes of the Central United States, Kansas. Vazzoler AEAM. 1996. Biologia da reprodução de peixes teleósteos: teoria e prática, EDUEM, Maringá. [Portuguese] Vitule JRS. 2009. Introduction of fishes in Brazilian continental ecosystems: review, comments and suggestions for actions against the almost invisible enemy. Neotrop Biol Conserv 4: 111-122. Weyl OLF, Hecht T. 1999. A successful population of largemouth bass, Micropterus salmoides, in a subtropical lake in Mozambique. Environ Biol Fish 54: 53-66.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 186-194

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150210

Spatial gradients in freshwater fish diversity, abundance and current pattern in the Himalayan region of Upper Ganges Basin, India ♼

AJEY KUMAR PATHAK, UTTAM KUMAR SARKAR , SHRI PRAKASH SINGH National Bureau of Fish Genetic Resources, Canal Ring Road, Post - Dilkusha, Lucknow 226002, Uttar Pradesh, India. Tel: +91-5222442440, Fax: +91-5222442403, ♼email: usarkar1@rediffmail.com Manuscript received: 3 June 2014. Revision accepted: 10 July 2014.

ABSTRACT Pathak AK, Sarkar UK, Singh SP. 2014. Spatial gradients in freshwater fish diversity, abundance and current pattern in the Himalayan region of Upper Ganges Basin, India. Biodiversitas 15: 186-194.The present study describes the analysis and mapping of the different measurements of freshwater fish biodiversity of the Upper Ganges basin in the Himalayan region using spatial interpolation methods of Geographical Information System. The diversity, richness and abundance of fishes for each sampling location were determined and Kriging interpolation was applied on each fisheries measurement to predict and produce semivariogram. The semivariogarms produced were cross validated and reclassified. The reclassified maps for richness, abundance and diversity of fishes, occurrence of cold water threatened fish and abundance of important genera like Tor, Schizothorax and species were produced. The result of the Kriging produced good results and overall error in the estimation process was found significant. The cross validation of semovariograms also provided a better result with the observed data sets. Moreover, weighted overlay analysis of the reclassified raster maps of richness and abundance of fishes produced the classified raster map at different evaluation scale (0-10) qualitatively describing the gradient of species richness and abundance compositely. Similarly, the classified raster map at same evaluation scale qualitatively describing the gradient of species abundance and diversity compositely was produced and published. Further, basin wise analysis between Alaknanda/Pindar and Ganga1 sub basins showed 0.745 disparities at 0.745 distances in 2 dimensional spaces. The richness, diversity and abundance of threatened fishes among the different sampling locations were not significant (p = 0.9). Key words: Fish diversity, GIS, Himalayan region, India, spatial gradients, Upper Ganga basin.

INTRODUCTION The freshwater biodiversity is declining at an alarming rate, far greater than that which has been noted for even the most affected terrestrial systems (Dudgeon et al. 2006). Additionally, global warming, climate change (Buisson et al. 2008) extreme weather, natural and man-made pollution, overharvesting, overexploitation, invasion of exotic fishes (Dudgeon et al. 2006) and other human disturbances have also much impacted on the fish biodiversity (Lipsey and Child 2007). Thus, in order to develop and test hypotheses about the processes responsible for this decline and to set conservation priorities, it is essential to understand the pattern of spatial variation in diversity (Fischer and Paukert 2008; Wu et al. 2011). In India, the Ganges basin is one of the most valuable resources of biotic diversity and it is one of the most populated river basin in the world, with over 400 million people and a population density of about 1,000 inhabitants per square mile (390/km2) (Arnold 2000). The flow of many tributaries of the Ganges has been diverted and controlled by barrages for irrigation due to which the fish catch has been declined and caused loss of species diversity (Das 2007; Payne et al. 2004; Sarkar et al. 2013). Twenty nine freshwater fish species recorded from the river Ganges

have been listed as threatened under vulnerable and endangered categories (Lakra et al. 2010). The fish fauna of the Ganges river and its tributaries have been studied by several researchers and information generated was mostly based on the taxonomy, biogeographical distribution and ecological aspects (e.g., Hamilton 1822; Hora 1929; Day 1888; Krishnamurti et al. 1991; Bilgrami and Datta-Munshi 1985; Srivastava 1980; Revenga and Mock 2000; Sinha 2006; Payne et al. 2004; Sarkar et al. 2010, 2012). Such information is insufficient to address the critical issues pertaining to conservation and management of fish diversity in the Ganges due to the mounting tendency of different threats. Therefore, conservation and restoration of rivers have become imperative for overall fisheries development, ecological integrity as well as livelihood security for the local community. Over the years GIS is used in mapping and analyzing the spatial and temporal changes of the biological diversity, abundance and distribution in relation to habitat characteristics. Effect of global warming and the change in the climatic condition have developed significant changes in the diversity and distribution pattern of many fishes. The researchers have used GIS not only in documenting and mapping the biodiversity, but also locating potential fishing grounds, determining fishing patterns, identifying and prioritizing conservation areas, examining aquatic habitat


PATHAK et al. – Freshwater fish of Upper Ganges Basin, Himalayan region

and underlying habitat characteristics for management and restoration, managing resources and many more. Identification of critical habitat is a priority for many fisheries managers, especially those trying to manage large river fisheries resources (Raibley et al. 1997). The value of GIS to fisheries professionals is that it allows for 3-D visualization with correct spatial features and attributes for each point. Previous analysis of fisheries data did not permit the analysis of spatial data in three dimensions. Thus, in view of the above, the present study was planned to spatially document, analyze and map different fisheries measurements using the techniques of GIS. The present paper discusses the different statistical and geostatistical methods used in analyzing and mapping the different fisheries measurements (richness, diversity and abundance) in the Himalayan region of the upper Ganga basin.

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MATERIAL AND METHODS Data sources and collection The data on fish was collected according to the methodology described by Sarkar et al. (2012) by sampling into the main channel and selected tributaries of Alaknanda/Pindar and Ganga1 sub basins. Figure 1 presents the collection map of sampling locations and Table 1 presents the list of sampling locations in the different rivers covered in each district. Geographic Positioning System (GPS) was used to record the geographical position of the sampling points. The satellite image from LISS III sensor of Indian Remote Sensing Satellite (IRS) was used to delineate the rivers and tributaries. Toposheets from Survey of India (SOI), Dehradun was used for geometric correction of the satellite image. Administrative Boundary Database procured from SOI, Dehradun was used for extracting the administrative boundaries.

Figure 1. Fish sample collection map of locations in Uttarakhand, India

Table 1. List of sampling locations in the different rivers passing through the districts of Uttarakhand, India Districts

Area covered

Rivers covered

Sampling locations

Uttarkashi Gharwal Chamoli Pauri Dehradun & Haridwar

Gangotri to Uttarkashi Tehri to Devprayag Phata and up to Karanprayag Rudraprayag to Pauri Garhwal Ajeetpur to Lakshar

Bhagirathi River and its streams Bhagirathi River and its streams Alaknanda and its streams Alaknanda and its streams Ganga

Gangotri, Harsil, Ganeshpur and Uttarkashi Bandarkot, Tehri and Devprayag Phata, Nao Gaon, Nandprayag and Karnaprayag Rudraprayag, Chamouli and Sri Nagar Ajeetpur, Raiwala, Kulhal, Dehradun, Haridwar and Lakshar


B I O D I V E R S IT A S 15 (2): 186-194, October 2014

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Specimen and fish data analysis The collected specimens from each sampling location were identified by following Jayaram (1999) and Sarkar et al. (2012). The fish diversity for each sampling location was calculated using the following formula suggested by Shannon and Wiener (1963). n  ni   ni  H     log 2  N i 1  N 

Where H = Shannon-Wiener index of diversity; ni = total numbers of individuals of species, N = total number of individuals of all species. The threatened status categories for the identified fish species was determined by following the IUCN Red List criteria and the percentage relative abundance of the threatened fishes for each sampling location was calculated. Spatial data set preparation and analysis ESRI's ArcGIS ArcINFO 10 (ESRI 2014) and PCI's Geomatica 10 (PCI Geomatics 2006) software was used to prepare the GIS based vector base map covering rivers, administrative boundaries and sub basins derived from geometrically corrected satellite image from LISS III sensor, Administrative boundary database and Hydro 1K data sources. A point vector layer for sampling points using GPS was created and arranged on the base map. The table of the point vector layer was populated with fish and fisheries measurement data. ESRI’s ArcGIS Geostatistical Analyst Software (GAS), which provides an extensive set of interpolation tools, was used to interpolate the fisheries measurement data. Though this software includes different interpolation methods that allows predictions of unknown values of a random function from observations at known locations, the present study describes the Kriging interpolation method, which was applied for spatial prediction and mapping. For interpolation and calculation of spatial autocorrelation statistics, the study area was divided into30 minute interval and grid cells were assigned to the cell centroid. All data were analyzed in the Polyconic projection. The projection was necessary to ensure that the value of x and y units is equivalent and constant across the study region. The spatial mapping process consisted of sequence of operations: creation of spatial weight matrix for checking spatial autocorrelation of different fisheries measurements; selection of geostatistical method for interpolation; fitting the best model; generation of semivariogram; cross validation and publishing.

RESULTS AND DISCUSSION Statistical analysis of fisheries measurements A total of 50 species belonging to 33 genus and 14 families were recorded. The analysis of the fish data showed that 22 species belong to Alaknanda/ Pindar and 42 species in Ganga1 sub basin, 13 species were found common in both the sub basins. Table 2 provides the list of

species recorded in these two sub basins and Figure 2 provides the scatter plot of the species. Further proximity analysis between the sub basins showed 0.745 dissimilarity. The result of the proximity analysis using the Jaccard's coefficient has been presented in Table 3. This dissimilarity was observed at 0.745 disparity/ distance in two dimensional spaces when

Table2. List of fish species collected from the different sampling locations of different rivers (1-presence and 0 -absence) Fish species Amblyceps mangois Barilius barila Barilius bendelisis Barilius tileo Barilius vagra Botia lohachata Catla catla Chagunius chagunio Channa marulius Channa striatus Chela cachius Chitala chitala Cirrhinus mrigala Cirrhinus reba Crossocheilus latius Cyprinus carpio Glyptothorax sp. Glyptothorax telchitta Heteropneustes fossilis Labeo bata Labeo calbasu Labeo dyocheilus Labeo pangusia Labeo rohita Macrognathus aral Mastacembelus armatus Nemacheilus beavani Nemacheilus botia Nemacheilus corica Nemacheilus montanus Nemacheilus rupicola Ompok pabda Oncorhynchus mykiss Puntius chelynoides Puntius ticto Rasbora daniconius Rita rita Salmophasia bacaila Schizothorax curvifrons Schizothorax progastus Schizothorax richardsonii Schizothorax sinuatus Setipinna phasa Silonia silondia Sperata aor Tetraodon fluviatilis Tor putitora Tor tor Wallago attu Xenentodon cancila

Alaknanda/Pindar

Ganga1

0 1 1 0 1 1 0 0 0 0 0 0 1 0 0 1 1 0 0 1 1 1 0 0 1 0 1 1 0 1 0 0 1 1 0 1 0 0 0 1 1 0 0 0 0 0 1 1 0 0 22

1 0 1 1 0 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 42


PATHAK et al. – Freshwater fish of Upper Ganges Basin, Himalayan region

Figure 2. Scatter plot of fish species between Alaknanda/ Pindar and Ganga1 sub basin.

Figure 3. Configuration diagram for Alaknanda/ Pindar and Ganga1 subbasins in 2 diamensional space.

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Figure 4. Shepard diagram showing disparities and distnace between Alaknanda/Pindar and Ganga1 subbasins.

multidimensional scaling (MDS) of the proximity was performed. Figures 3 and 4 presents the Configuration and Shepard diagram after performing the MDS analysis using Kruskal's stress (1). Tables 4 and 5 summarize the result of descriptive statistics and correlations. Further, ANOVA single factor analysis of the sampling locations at 95% confidence level on the species richness, fish diversity index and abundance of threatened fish species was done and the p value was found not significant (Table 6). Geostatistical analysis and mapping The spatial autocorrelation of different fisheries measurements like index of fish diversity, species richness and abundance, abundance of threatened fishes, abundance of Tor and Barilius species showed that the spatial distribution of feature values is the result of random spatial processes as the computed value of p was found not statistically significant. Thus, the observed spatial pattern of feature values could very well be one of many, many possible versions of complete spatial randomness (CSR). The p value (0.013) in the spatial autocorrelation of abundance of genus Schizothorax species was statistically significant and the z score (2.473) was found positive. This result showed that the null hypothesis could be rejected and the spatial distribution of high values and/or low values in the dataset is more spatially clustered than would be expected if underlying spatial processes were random. Further, the composite evaluation of the species richness and abundance was done using the overlay weighted

Table 4. Descriptive statistics of the sampling locations on the variables species richness, fish diversity index and abundance of threatened fish species. Abundance of Index of fish threatened fish diversity species (%) Mean 6.16 0.09 1.16 SE 0.93 0.03 0.16 Median 4 0.03 1.34 Mode 3 0.01 0 SD 4.66 0.17 0.81 SV 21.8 0.03 0.65 Kurtosis 3.62 19.51 -0.82 Skewness 1.95 4.22 -0.18 Range 19 0.879 2.67 Min. 2 0.012 0 Max. 21 0.891 2.67 Sum 154 2.42 29.22 Count 25 25 25 Largest (1) 21 0.89 2.67 Smallest (1) 2 0.012 0 Note: SE = Standard Error, SD = Standard Deviation, SV = Sample Variance, Min. = Minimum, Max. = Maximum. Parameters

Species richness

Table 5. Degree of correlation among the sampling locations on the variables species richness, fish diversity index and abundance of threatened fish species. Index of fish diversity

species richness

Variables

Table 3. Species frequency and percentage in Alaknanda/ Pindar and Ganga1 subbasins (A); Similarity/ Proximity matrix between Alaknanda/ Pindar and Ganga1 subbasins (B)

Species richness Index of fish diversity Abundance of threatened fish species (%)

A. Summary statistics: Variable Categories Alaknanda/Pindar 0 1 Ganga1 0 1

Table 6. The result of ANOVA among sampling sites on species, index of fish diversity and relative abundance of threatened fish species.

B. Proximity matrix (Jaccard coefficient): Alaknanda/Pindar Alaknanda/Pindar 1 Ganga1 0.255

Freq. 29 22 9 42

Ganga1 0.255 1

Perc. 56.863 43.137 17.647 82.353

Source of Variation Between groups Within groups Total

SS

df

1.000 0.813 0.797

MS

240.1535 24 10.0064 823.2344 50 16.46469 1063.388 74

0.813 1.000 0.546

Abundance of threatened fish species (%) 0.797 0.546 1.000

F

P-value F crit

0.607749 0.906785 1.73708


PATHAK et al. – Freshwater fish of Upper Ganges Basin, Himalayan region

analysis of the classified cross validated raster maps of species richness and abundance produced after the Kriging interpolation (Figure 5) and the study indicated that upper part of the Ganga1, upper northern part of Ramganga and southern lower part of the Alaknanda form the greater composition of species richness and abundance. Similarly, the composite evaluation of species abundance and index of fish diversity (Figure 6) showed that upper northern part of Ganga1 and middle and lower southern part of Alaknanda/ Pindar sub basins have greater composition in terms of abundance and diversity. The semivariogram map produced after application of Kriging interpolation methods on the abundance of threatened fish species (Figure 7) indicates that upper part of Ganga1 and Ramganga sub basins are relatively important for more abundance of threatened fish species. The analysis of semivariogram map produced after Kriging interpolation methods for abundance of Schizothorax species (Figure 8) revealed that the species are abundantly colonized in the middle and upper part of Alaknanda/ Pindar, north eastern upper part of Ganga1 and upper northern part of the Ramganga sub basin. The semivariogram map of Tor species (Figure 9) showed the high degree of abundance in Alaknanda/Pindar, Ganga1 and upper northern part of Ramganga. The abundance distributional range of this species was found fairly larger than Schizothorax species. Similarly, the abundance of Barilius species (Figure 10) was noticed relatively more in Ganga1. The lower southwestern part of Alaknanda adjacent to Ganga1 basin also showed a high degree of abundance of Barilius species. Discussion Planning the conservation of freshwater fish biodiversity at regional scale requires mapped information on current patterns of fish diversity and conservation targets at a relatively fine scale (Fitz-Hugh 2005). Hence, many of the GIS based studies represented a major step in defining patterns of freshwater biodiversity and identifying freshwater conservation priorities in some areas of the world (Higgins et al. 2003; Weitzell et al. 2003; Januchowski-Hartley et al. 2011). The present study demonstrates the changing pattern of different fisheries measurements and hardly significant differences were observed between predicated and observed values. Sources of variability in our observed data stem from the inefficiency of capture, and less number of sampling points. The prediction accuracy was found satisfactory and more promising for all the fisheries measurements. Further, gradients in abundance of important genera (Schizothorax, Tor and Barilius species), showed that areas of abundance predicted by the used model are correct and justifies the studies (Nautiyal et al. 1998). The high abundance of Schizothorax species was noticed in Alaknanda/Pindar sub basin while the high abundance of Tor species was noticed both in Alaknanda/Pindar and Ganga1 sub basins. Similarly, the high abundance of Barilius species was noticed in the Ganga1 sub basin only. At very high altitudes, the model predicted the very meager abundance of Tor and Barilius species while on the other hand the abundance of Schizothorax species was predicted relatively

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Figure 5. Classified interpolated raster map of species abundance and richness

Figure 6. Classified interpolated raster map of species abundance and diversity


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Figure 7. Classified interpolated raster map of the abundance of threatened fishes

Figure 9. Classified interpolated raster map of the abundance of Tor species

Figure 8. Classified interpolated raster map of the abundance of Schizothorax species

Figure 10. Classified interpolated raster map of the abundance of Barilius species


PATHAK et al. – Freshwater fish of Upper Ganges Basin, Himalayan region

high which again justifies the studies. Thus, this model presents the areas of conservation value with reference to Schizothorax, Tor and Barilius species and also the areas where high species diversity was noticed. The comparative evaluation showed that Ganga1 is better than southern part of Alaknanda/Pindar sub basin. Similarly, Ganga1 again showed the better enrichment in terms of species richness and abundance. Further, results on the abundance of threatened fishes indicated that these are fairly distributed in the tributaries of the main channels of all three sub basins. Therefore, effective conservation and prioritization of potential sites of the fish biodiversity could be planned in the areas as the model presents the areas of key locations within the river basin at spatial scale. The GIS tools have been instrumental to incorporate freshwater biodiversity into its eco-regional assessment process, because they can efficiently produce the necessary output products using widely available GIS datasets (Fitz-Hugh 2005).

CONCLUSION Our study concerns essentially with diversity, abundance and distribution pattern of freshwater fish species in the upper Ganges, but it posits an important challenge to the domains and the respective key drivers that play an important role behind these patterns. The unprecedented river flow regulation for hydropower generation, disturbances in landscape habitat, introduction of exotic fish species are some noticeable key drivers in the Upper Ganga basin. In the Himalaya water discharge was found one of the key drivers behind diversity and distribution pattern. Thus, with reference to Upper Ganga basin in the Himalayan region, there is an urgent need to correlate the fish diversity data with landscape scale habitat pattern and attributes, river flow and other disturbances like damming in order to classify the suitable fish habitat and predict the fish distribution for better management decision. The present study suggests determining the spatial pattern of diversity, abundance and distribution of species in relation to landscape habitat variables. Indeed, this could be one of the local specific models for prioritization of sites for conservation and management of fish biodiversity with reference to upper Ganges which is a highly sensitive ecosystem.

ACKNOWLEDGEMENTS The authors are grateful to the Director, NBFGR, Lucknow, Uttar Pradesh, India for providing necessary facilities and suggestions.

REFERENCES Arnold G. 2000. World strategic highways. Taylor & Francis, New York. Bilgrami KS, Datta-Munshi JS 1985. Ecology of River Ganges (PatnaFarakka); impact of human activities and conservation of aquatic biota. Final Technical Report, Department of Environment Research Project under MAB Programme, India.

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Buisson L, Thuiller W, Lek S, Lim P, Grenouillet G. 2008. Climate change hastens the turnover of stream fish assemblages. Glob Chang Biol 14: 2232-2248. Das MK, Samanta S, Saha PK. 2007. Riverine health and impact on fisheries in India. Policy Paper No. 01, Central Inland Fisheries Research Institute, Barrackpore, Kolkata. Day F. 1888. The Fishes of India; being a natural history of the fishes known to inhabit the seas and fresh waters of India, Burma and Ceylon. Williams and Norgate, London. [Digitizing by Harvard University, Museum of Comparative Zoology, Ernst Mayr Library; available at https://archive.org/details/fishesofindiabei03dayf] Dudgeon D, Arthington AH, Gessner MO, Kawabata ZI, Knowler DJ, et al. 2006. Freshwater biodiversity: Importance, threats, status and conservation challenges. Biol Rev 81: 163-182. ESRI. 2014. ArcGIS® 10.2.1 for Desktop Functionality Matrix. ESRI, New York. http://www.esri.com/software/arcgis/arcgis-for-desktop Fischer JR, Paukert CP. 2008. Habitat relationships with fish assemblages in minimally disturbed Great Plains regions. Ecol Freshw Fish 17: 597-609. Fitz-Hugh TW. 2005. GIS tools for freshwater biodiversity conservation planning. Trans in GIS 9(2): 247-263. Hamilton F. 1822. An account of the fishes found in the river Ganges and its branches. Printed for A. Constable and company, Edinburgh. Higgins JV. 2003. Maintaining the ebbs and flows of the landscape: Conservation planning for freshwater ecosystems. In Groves CG (ed) Drafting a Conservation Blueprint: A Practitioner’s Guide to Planning for Biodiversity. Island Press, Washington, DC. Hora SL. 1929.An aid to the study of Hamilton-Buchanan’s ‘‘Gangetic fishes’’. Mem Indian Mus 9: 169-192 Januchowski-Hartley SR, Pearson RG, Puschendrf R, Rayner T. 2011. Freshwaters and Fish diversity: Distribution, protection and disturbance in tropical Australia. PLOS One 6 (10): e25846.DOI: 10.1371/journal.pone.0025846 Jayaram KC. 1999. The freshwater fishes of the Indian region. Narendra Publishing House, India Krishnamurti CR, Bilgrami KS, Das TM, Mathur RP. 1991. The Ganga, a scientific study. Ganga Project Directorate. Northern Book Center, New Delhi. Lakra WS, Sarkar UK, Gopalakrishnan A, Pandian AK. 2010. Threatened freshwater fishes of India. NBFGR Publication, Lucknow, India. Lipsey MK, Child MF. 2007. Combining the fields of reintroduction biology and restoration ecology. Conserv Biol 21: 1387-1388. Nautiyal P, Bhatt JP, Rawat VS, Kishor B, Nautiyal R, Singh HR. 1998. Himalayan Mahseer: Magnitude of commercial 1030 fishery in Garhwal hills. Fish Genet Biodiv Conserv Nat in Pub 5: 107-114. Payne AI, Sinha RK, Singh HR, Haq S. 2004. A review of the Ganges Basin: its fish and fisheries. In: Welcomme RL, Peter T (eds) Proceedings of the Second International Symposium on the Management of Large Rivers for Fisheries, vol 1, FAO Regional Office for Asia and the Pacific, Bangkok, Thailand. PCI Geomatics. 2006. Geomatica 10.0.3. PCI Geomatics, Ontario, CA. www.pcigeomatics.com Raibley PT, Irons KS, O'Hara TM, Blodgett KD, Sparks RE. 1997. Winter habitats used by largemouth bass in the Illinois River, a large riverfloodplain ecosystem. North American J Fish Manag 17: 401-412. Revenga C, Mock G. 2000. Pilot Analysis of global ecosystems: freshwater systems and world resources 1998-99. World Resources Institute, Washington, DC. Sarkar UK, Gupta BK, Lakra WS. 2010. Biodiversity, eco-hydrology, threat status and conservation priority of the freshwater fishes of river Gomti, a tributary of river Ganga (India). Environmentalist 30 (1): 317. Sarkar UK, Pathak AK Sinha RK, Sivakumar K., Pandian AK, Pandey A, Dubey VK, Lakra WS. 2012. Freshwater fish biodiversity in the River Ganga (India): Changing pattern, threats and conservation perspectives. Rev Fish Biol Fish 22: 251-272. Shannon CE, Wiener W. 1963. The mathematical theory of communication. University of Illinois Press, Urbana. Sinha RK. 2006. The Ganges river dolphin Platanista gangetica. J Bombay Nat HistSoc 103: 254-263. Srivastava GJ. 1980. Fishes of U.P. and Bihar, Vishwavidyalaya Prakashan, Varanasi, India. Weitzell RE, Khoury ML, Gagnon P, Schreurs B, Grossman D, Higgins J. 2003. Conservation Priorities for Freshwater Biodiversity in the Upper Mississippi River Basin. Nature Serve and The Nature Conservancy, Arlington, VA.


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Wu J, Wang J, He Y, Cao W. 2011. Fish assemblage structure in the Chishui River, a protected tributary of the Yangtze River. Knowled

Manag Aquat Ecosyst 400: 11.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 195-199

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150211

Composition, abundance and diversity of the Family Cichlidae in Oyan Dam, Ogun State, Nigeria OLANIYI ALABA OLOPADE1,♥, OLUSEUN PETER RUFAI2 1

Department of Animal Science and Fisheries, University of Port Harcourt, Rivers State, East/West Road PMB 5323 Choba, Rivers State, Nigeria. Tel:_+234 (0)837154911; ♥email: oaolopade@yahoo.com. 2 Department of Animal Production, Olabisi Onabanjo University, Ago Iwoye, Nigeria. Manuscript received: 24 June2014. Revision accepted: 7 September 2014.

ABSTRACT Olopade OA, Rufai OP. 2014. Composition, abundance and diversity of the Family Cichlidae in Oyan Dam, Ogun State, Nigeria. Biodiversitas 15: 195-199.This study was conducted to determine status of the family Cichlidae in Oyan Dam, Nigeria, during the wet and dry seasons of 2011. Samples were collected using multi-mesh gillnets ranging between 30 mm to 80 mm. Simpson's Diversity Index was used to determine the species richness, while dominance and evenness were given by Shannon's index. A total of 547 individuals were caught from Imala (S1) and Ibaro (S2) sites of the dam. Species collected include Sarotherodon galilaeus (42.60%), Oreochromis niloticus (17.92%), Tilapia zillii (25.41%), Hemichromis fasciatus (10.61%) and Tilapia mariae (3.48%). Juveniles and sub-adults and adults were among the catch, the sizes were as big as 12.85±0.29cm SL, 109.22±6.00g BW in Tilapia zillii and small as 6.09±0.05cm SL and 8.07±0.15g BW in Hemichromis fasciatus. The diversity indexes showed that the diversity of Cichlids was lower in the two sites observed in Oyan Dam. The estimates of diversity indexes showed lower value for site 1 (0.284) than for site 2 (0.294); Simpson's diversity index was 0.716 for site 1 and 0.703 for site 2 while reciprocal indexes for site 1(3.521) was slightly lower than site 2 (3.367). Shannon-Wiener’s Index recorded in the site 1 (1.36) was slightly lower than site 2 (1.37). Pielou’s Index value recorded for site 1 was 0.845 and 0.852 for site 2. Sarotherodon galilaeus, Oreochromis niloticus, Tilapia zillii and Tilapia mariae exhibited a positive allometric growth pattern while only Hemichromis fasciatus showed a negative allometric growth. Key words: Allometric growth pattern, Cichlidae, diversity index, Nigeria, Oyan Dam, Simpson's diversity index.

INTRODUCTION Cichlids are fishes from the family Cichlidae in the Order Perciformes. Cichlids fishes are the most species rich family of all teleost fishes, and their diversity is centered in the Great African Lakes where more than 2000 species (Turner et al. 2001). As of 2006, there were 200 genera recognized and covered by FishBase (Froese and Pauly 2006a). They are one of the largest vertebrate families, new species are discovered annually and many species remain undescribed (Froese and Pauly 2006b). Endemic Cichlids make up most of the fauna in the African Lakes, for example Lakes Malawi has about 20 Cichlids (all but 4 endemic), Lake Victoria has about 170 (all but endemic) and Lake Tanganyika has 126 (all endemic) (Gupta and Gupta 2006). Cichlids are particularly well known for having evolved rapidly into a large number of closely related but morphologically diverse species within large lakes (Meyer 2005). It is estimated that Africa alone hosts at least 1,600 species (Nelson 2006). Cichlids are highly abundant and commercially important fish in natural and man-made lakes in Nigeria. The best known genera in Nigeria are Tilapia (Fagade and Olaniyan 1971), Hemichromis (Fagade 1983) and Sarotherodon which was reported by Trewavas (1983). Overfishing and habitat degradation can lead to a gradual process of extinction of fish species. These

stressors, along with climate variability, can synergistically contribute to the degradation of biological diversity at the species, genetic and/or habitat-ecosystem level (Pimm et al. 1995; IPCC2001; UNEP 2001). Little information exists regarding the diversity and status of cichlids in reservoirs in Nigeria. The lack of information on this family undoubtedly limits ability to carry out effective conservation measures and given the economic and ecological roles of cichlids. This study is designed to investigate diversity, composition and abundance of the family Cichlidae in Oyan Dam.

MATERIALS AND METHODS Study area Oyan Dam is owned and operated by the Ogun-Osun River Basin Development Authority (O-ORBDA) and has a surface area of 4000 ha. It is located 7°15’ North latitude and 3°16’East longitude at an elevation of 43.3m above sea level on the confluence of Oyan and Ofiki rivers, both tributaries of Ogun River (Ofoezie et al. 1991; O-ORBDA 1998). It has a catchments area of approximately 9,000km² within the southern climatic belt of Nigeria. It is influenced by a rainy season which starts in the middle of March and till late October while the dry season is from November to February. The range of rainfall was between 1600mm and


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3o10’E

3o15’E

Akro NIGERIA

Ilakan

o

o

7 20’N

7 20’N

Station 1 Imala

Balogun Igbekun

Ibaro Station 2 o

OGUN STATE

7 15’N

Oyegbade o

3 10’E

Dam site

o

7 15’N

o

3 15’E

Figure 1. Map showing Oyan Dam (area of study), Ogun State, Nigeria.

2900mm. It was constructed for supply of water, for irrigation purposes and the generation of 9 megawatts of hydroelectric power which never materialized. The dam currently supports a thriving fishing industry which offers enormous opportunities for increasing freshwater fish production in the region.

Which refers to the relative representative of a species was determined by dividing the number of species (n) from each catch by the total number of species (N) from the total catch recorded. The length-weight relationship was described by the equation:

Fish sampling Two sampling stations (Site 1, Imala and Site 2, Ibaro) were selected based on their high level of fishing activities by the fishers (Ikenweiwe et al. 2007). Routine sampling was conducted and specimens of cichlid species were collected monthly in the months of March, April and May (representing the dry season) and the months of July, August and September (representing the wet season) 2011 from the catches of artisanal fishermen in Oyan Dam using gill nets of different mesh sizes ranging from 30mm-80mm (laterally stretched) mesh sizes. Sampled specimens were measured for Total length (TL) and Standard length (SL) to the nearest 0.1 cm and Body Weight (BW) to the nearest 0.1 g. Identifications of the fish species were carried out using Holden and Reed (1972).

BW = aSLb ...........................................................… (2)

Data analysis A number of ecological indices were used to describe the diversity of Cichlids in Oyan Dam. These were:

Where W= total body weight (g), L= total length (cm), b= growth exponent. Simpson’s index: d = ∑ n(n - 1) N (N - 1) ……………………………………… (3) Where n = number of individuals of a particular species, d = diversity index and N = the total number of individuals present in the entire sample. Simpson’s index of diversity = (1-d) Simpson’s reciprocal index = (1/d) Shannon-Weiner’s Index (H’) of species diversity (Shannon and Weiner 1963): H’= -åPi ln Pi …………………...………………… (4)

The relative species abundance % = (n/N) X 100 …. (1)


OLOPADE & RUFAI–Cichlids of Oyan Dam, Nigeria

Where Pi = the proportion of the total number of individuals occurring in species i, ‘n’ is the number of individuals of each species, and N is the total number of individuals. Pielou’s Index (J) for species evenness (Pielou 1969): J = H’/ln S ………………………………....……… (5) Where H’ is the species diversity index and S is the number of species/species richness.

RESULTS AND DISCUSSION Composition of the Family Cichlidae in Oyan Dam A total of 547 fish specimens were caught during the study period belonging to five species (Table 1). Composition of species showed the presence of the following species of the family Cichlidae; Sarotherodon galilaeus, Oreochromis niloticus, Tilapia zillii, Hemichromis fasciatus and Tilapia mariae. The most abundant of the cichlid group in terms of number was S. galilaeus accounting for 42% of the total catch followed by T. zillii (25.41%) and O. niloticus (17.92%) while the least abundant species was T. mariae which had 3.48% of the fish population. Seasonal distribution of Cichlids in Oyan Dam The seasonal distribution of cichlid caught during the study is presented in Table 2. The results showed that S. galilaeus, O. niloticus and T. zillii were recorded both in dry and wet seasons. H. fasciatus was more abundant in the dry season than the wet season while T. mariae was encountered during the wet season and rare in the dry season. The overall monthly abundance by number (Table 2) ranged from 11.92% in March to 21.35% in July. The catches were abundant in the wet season than in the dry season. The relative abundance (by number) increased gradually from March (11.92%) to July (21.45%).Table 2 shows that S. galilaeus, O. niloticus and T. zillii were abundant, common and most frequent fish species in Oyan Dam during the study period. Length-weight relationship of Cichlids species in Oyan Dam The various sizes of Cichlidae in Oyan Dam (Table 3) showed that majority of catch ranged from juvenile to adults in the fish population. The sizes ranged from

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12.85±0.29cm SL (standard length), 109.22±6.00g BW (body weight) in T. zillii to 6.09±0.05cm SL and 8.07±0.15g BW in H. fasciatus. In terms of body eight T. zillii (109.22±6.00) had the highest, followed by S. galilaeus (103.32±4.99) and O. niloticus (85.82±6.33) while H. fasciatus (8.07±0.15) weighted the least. In terms of standard length, T. zillii was the longest (12.85±0.29), followed by S. galilaeus (12.44±0.23) and O. niloticus (11.75±0.33) while H. fasciatus had the least standard length (6.09±0.05). Sample size (N), minimum and maximum values of lengths and weights, mean standard deviations value of lengths and weights , as well as parameters a and b of the length-weight relationships, 95% confidence intervals for b, a and the coefficient of determination (r2) are presented for each species in Table 3. Positive allometry was found in S. galilaeus, O. niloticus, T. zillii and T. mariae with b-values of 3.138, 3.325, 3.102 and 3.012 respectively whereas negative allometry was found in H. fasciatus (Table 3). Diversity indices The diversity indexes of Cichlids indicated low diversity in the two sites during the period of investigation (Table 4).The Simpson’s index of diversity were 0.716 and 0.703 for site 1 and site 2 respectively while Simpson’s reciprocal index in site 1 (3.521). The Shannon-Weiner index shows that site 2 (1.37) was slightly higher than site 1 (1.36) while the Pielou’s index for site 2 (0.852) was slightly higher than that of site 1 (0.845). Table 1. Percentage composition of Cichlids in Oyan Dam, Nigeria. Species

S1

S2

Sarotherodon galilaeus 106 127 Oreochromis niloticus 53 45 Tilapia zillii 61 78 Hemichromis fasciatus 34 24 Tilapia mariae 3 16 Total 257 290 Note: S1 = site 1 (Imala), S2 = site 2 (Ibaro)

Number 233 98 139 58 19 547

Discussion The study revealed only five species of Cichlids in Oyan Dam. These include S. galilaeus, O. niloticus, T. zillii, H. fasciatus and T. mariae. Lowe-McConnell (1975) and Ita et al. (1982) reported that family Cichlidae is particularly abundance in many African reservoirs. Holden and Reed (1972) reported over 200 species of Cichlids in

Table 2. Summary of seasonal variation of Cichlids in Oyan Dam, Nigeria. Fish species S. galilaeus O. niloticus T. zillii H. fasciatus T. mariae Total Percentage

Common name White tilapia Nile Tilapia Redbelly Tilapia Banded Jewelfish Spotted Tilapia

24 11 17 14 1 67 12.2

Percentage 42.6 17.9 25.4 10.6 3.5

Dry season (Jan, Feb, March) 32 41 28 15 20 32 5 17 3 85 108 15.5 19.2

44 18 21 15 7 105 21.4

Wet season (June, July, Sept) 52 40 16 10 24 25 3 4 7 1 102 80 18.1 14.2


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Table 3. Length-Weight relationship of Cichlids species in Oyan Dam, Nigeria.

233 98 139 58

SL range (cm) 5.6-19.2 5.8-17.7 5.4-19.0 5.5-7.2

19

5.9-16.3

Fish species

N

S. galilaeus O. niloticus T. zillii H. fasciatus

T. mariae

12.4±02 85.8±0.3 12.9±0.3 6.1±0.1

W range (g) 8-375 9-245 7-345 7-12

103.3±4.9 85.8±6.3 109.2±6 8.07±0.2

9.9±0.1

10-180

52.5±11.3 0.0043 0.0034-0.0056 3.012 2..268-3.212 0.941

Mean ±SE

Mean ±SE

Table 4. Diversity indexes of fish species in two sites of Oyan Dam, Nigeria. Diversity Index S1 Number of species 5 Number of individuals 257 Simpson’s index 0.285 Simpson’s index of diversity 0.716 Simpson’s reciprocal index 3.521 Shannon-Weiner index 1.36 Pielou’s index 0.845 Note: S1 = site 1 (Imala), S2 = site 2 (Ibaro)

S2 5 290 0.295 0.703 3.367 1.37 0.852

West African water bodies. Similarly Daddy et al. (1991), Bankole et al. (1994) and Olopade (2010) reported Cichlidae to be the dominant family in Tatabu Lake in Niger State, Alau Lake in Borno State and Oyan Dam in Ogun State all in Nigeria. The number encountered in the present study was lower than the results of Ikenweiwe et al. (2007) who recorded six species of Cichlids in Oyan Dam. The number of species will vary depending upon differences in the sampling methods and sampling effort, as well as fish abundance. The most abundant of the cichlids group in terms of number was S. galilaeus. The dominance of S. galilaeus in large freshwater body in Nigeria has already been reported by Adesulu and Sydenham (2007). Akintunde (1976) reported similar results in Lake Kainji between 1971 and 1976, where S. galilaeus formed 91.4% by number and 88.12% by weight of the total cichlids. The least abundant species was T. mariae which had 3.48% of the fish population. Tilapia mariae occurs in coastal areas and the lower courses of rivers. Fagade and Olaniyan (1974) reported the occurrence of the species in the Lagos Lagoon when the water is either fresh or recording low salinities (less than 1o/oo).This species possess abroad salinity tolerance (Schwanck 1987). In the present study, the smallest length of captured fish among the five species was 6.09±0.05cm in Standard length with a minimum weight of 8.07±0.15g for H. fasciatus. Adesulu and Sydenham (2007), in the description of that species, reported a relatively small fish with the largest specimen caught so far is about 30cm. Komolafe and Arowomo (2011) also reported H. fasciatus, with 4.9 cm standard length and weight of 3.0 g, as the smallest fish in Erinle reservoir. The feeding habit of the fish (piscivorous) could be responsible for its size. Some researchers have used fish size to estimate the relative probability that fish of various sizes will encounter the nets (Rudstam et al. 1984; Spangler and Collins 1992). Comparatively, the food consumed by the populations of H. fasciatus in Tarkwa bay and the

a 0.0063 0.0052 0.0071 0.0028

95% C.I of a 0.0058-0.0068 0.0049-0.0057 0.0058-0.0086 0.0017-0.0029

b 3.138 3.325 3.102 2.015

95% C.I of b 3.112-3.152 3.217-3.331 2.916-2.348 2.011-2.214

r2 0.985 0.955 0.987 0.718

Lagos lagoon in Nigeria (Ugwumba 1988) consisted principally of fish. All the species were present during the dry and wet seasons with more individual species recorded in wet season. Dry season in south west Nigeria, is a period characterized by poor water quality, reduced water level, high temperature and salinity (Lawson and Olusanya 2010), under these conditions, migrations of the species of fish may be responsible for the low catch recorded during these period. Seasonal differences in fish movement can be very important in determining the likelihood of encounter of gillnet and changes in movement in response to weather, or any other stimulus, can influence encounter probability (Portt 2006). The presence of Cichlids in both seasons described their abundance and diversity in Africa. Their abundance may be the result of natural history trait such as high reproductive rates, high rate of juvenile and adult survival, or strong competitive abilities that allow them to dominate other species (Van Dyke 2003).The differences in catch seasonally could be probably attributed to fish abundance. It is well known that passive net catches depend on the activity and density of fish which are, in addition, influenced by the season of year, weather, water temperature and transparency, depth for net setting and other factors (Sechin et al. 1991). Sarotherodon galilaeus, O. niloticus, T. zillii and T mariae exhibited a positive allometric growth pattern that is the length and body of fish grows in the same proportion. The findings are more similar to the findings of Haruna (2006) on the length-weight relationship of four fish species cichlids from Magaga Lake, Kano, Nigeria. However, with respect to H. fasciatus the negative allometery was caused by the capture of mainly young individuals. H. fasciatus, with mean standard length of 7.2cm and weight of 12g was the smallest Cichlids recorded during the study. The calculated allometric coefficient b varied among the species from a minimum of 2.015 for H. fasciatus, to a maximum of 3.325. These values are within the limits (2 and 4) reported by Tesch (1971) for most fishes. The estimates of diversity indices showed slightly higher values for site 2 than for site 1. Mwangi et al. (2012) reported that community structure (species diversity, richness and evenness) were generally higher in the middle and lower reaches of River Kisian and Awach in Kenya which was attributed to their proximity to Lake Victoria. This was anticipated since sources of water to the dam are from two big rivers namely Oyan and Offiki tributaries of River Ogun. Indications are that the dam gets stocked by migratory fish from annual flooding of the two rivers. The


OLOPADE & RUFAI–Cichlids of Oyan Dam, Nigeria

Simpson’s index values range from 0 to1, with 1 representing perfect evenness (all species present in equal number).In this study Simpson’s indices were less than 1 indicating imperfect evenness. The value of Shannon diversity is usually found to fall between 1.5 and 3.5 and only rarely it surpasses 4.5. The Shannon- Weiner index indicates low species diversity of cichlids in the study area. The low diversity could be attributed to occurrence of seasonal floods as result of environmental change.

CONCLUSION The results of this study showed that the family Cichlidae was represented by five species namely S. galilaeus, T. zillii, T. mariae, O. niloticus and H. fasciatus. The more abundant in the two seasons was S. galilaeus while the least was T. mariae. T. zillii had the highest mean body weight and longest mean length. Almost all the species were present in both seasons with S. galilaeus, O. niloticus and T. zillii abundant, common and frequently observed in the dam. There is selective mortality towards smaller fish size. This implies that juvenile individuals are the target of the fishery. The high vulnerability of juvenile fish capture by gear would result in the reduction of the future yield of cichlids. The various diversity indices of the species composition indicated low diversity in the two sites indicating the unhealthy nature of the reservoir. Fish stocking has proven to be one of the most successful tangible tools in reservoir fisheries management (An 2001) therefore, Oyan Dam should be stocked with more Cichlids fishes in order to improve the stock.

REFERENCES Adesulu EA, Sydenham DHJ. 2007. The Freshwater Fishes and Fisheries of Nigeria. Macmillan Nigeria Publishers, Lagos. An NQ. 2001. Effectiveness of stocking in reservoirs in Vietnam. In: De Silva SS (ed). Reservoir and Culture-based Fisheries: Biology and Management. Proceedings of an International Workshop held in Bangkok. Australian Centre for International Agricultural Research. Canberra. Bankole EO, Sule OD, Okwundu EC, Amadi M, AdeyemoT, Olabanji M, Balogun I. 1994. Preliminary Investigation on the Frame and Catch Assessment Surveys of Alau Lake, Maiduguri, Borno State, Nigeria NIFFR Annual Report 1994, NIFFR, Nigeria . Daddy F, Abubarkar A, Aina E. 1991. Studies on Tababu Floodplain Vegetation and its utilization. NIFFR Annual Report 1990, NIFFR, Nigeria. Fagade SO, Olaniyan CIO. 1971. The food and feeding interrelationship of fishes of Lagos lagoon. J Fish Biol 5: 205-225. Fagade SO. 1983. The biology of Chromidotilapia guentheri from a small lake. Arch Hydrobiol 97: 60-72. Froese R, Pauly D (eds). 2006a. Alticorpus macrocleithrum in FishBase. April 2006: 20-21. Froese R, Pauly D (eds). 2006b. Species of Sarotherodon in FishBase. October 2006: 5-10. Haruna MA. 2006. Length-weight relationship of four fish species Cichlidae) from Magaga Lake, Kano, Nigeria. BEST J 3 (3): 109-111.

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Holden MJ, Reed W. 1972. West African Freshwater Fish. Longman, London. Gupta SK, Gupta PC. 2006. General and Applied Ichthyology. S Chand and Co. Ltd., New Delhi. Ikenweiwe NB, Otubusin SO, Akinwale MAA, Osofero S.A. 2007. A comparison of the composition and abundance of fish species caught with experimental gillnet with that of Artisanal Fishermen at Oyan Lake, South West Nigeria. Eur J Sci Res 16 (3): 336-346. IPCC. 2001. Climate Change 2001: Synthesis Report. In: Watson RT and Core Writing Team. A Contribution of Working Group I, II and III to the Third Assessment Report of the Intergovernmental Panels on Climate Change. Cambridge University Press, Cambridge, UK. Ita EO, Balogun JK, Adimula AB. 1982. Sokoto Rima River Basin Development Authority. A Preliminary Report of Pre-impoundment Fisheries Survey of Gronyo Reservoir, Sokoto State, Nigeria. Report Submitted to the Authority of the Basin, Nigeria. Komolafe OO, Arawomo GAO. 2011. Composition, physiological condition and fisheries of Erinle Lake. West African J Appl Sci 18: 71-75 Lawson OE, Olusanya OM. 2010. Fish diversity in three tributaries of River Ore, south west Nigeria. World J Fish Mar Sci 2 (6): 524-531. Lowe-McConnell RH. 1975. Fish Communities in Tropical Freshwaters. Longman, London. Meyer A. 2005. Evolutionary biology cichlids species flock of the past and present. Heredity (2005) 95, 419-420. Mwangi BM, Ombogo M A, Amadi J, Baker N, Mugalu D. 2012. Fish species composition and diversity of small riverine ecosystems in the Lake Victoria Basin, Kenya. Intl J Sci Technol 2 (9): 675-680. Nelson J S. 2006. Fishes of the World. John Wiley & Sons, New York. Ofoezie JE, Imevbore AMA, Balogun MO, Ogunkoya OO, Asaolu SO. 1991. A Study of an outbreak of schistosomiasis in two resettlement village near Abeokuta, Ogun State, Nigeria. J Helminthol 65: 95-102. Olopade OA. 2010. Observations on fishing methods in Oyan Lake. African J Livestock Ext 8: 35-39. Pimm SL, Russell GJ, Gittleman JK, Books TM. 1995. The future of biodiversity. Science 269: 347-350. Portt CB, Coker GA, Ming DL, Randall RG. 2006. A review of fish sampling methods commonly used in Canadian freshwater habitats. Can Tech Rep Fish Aquat Sci 2604 p. Rudstam LG, Magnuson JJ, Tonn WM. 1984. Size selectivity of passive fishing gear: a correction for encounter probability applied to gill nets. Can J Fish Aquat Sci 41: 1252-11255. Schwanck E. 1987. Lunar periodicity in the spawning of Tilapia mariae in Ethiopia River, Nigeria. J Fish Bio 30: 533 - 537. Sechin YT, Bandura WI, Shibayev SW, Blinov VV. 1991. A new approach to the analysis of age structure of fish stocks using surveys for various water basins and behavioural patterns of fish concentrations. In: Cowx IG (ed.). Catch Effort Sampling Strategies. Fishing News Books, London 26: 285-304. Spangler GR, Collins JJ. 1992. Lake Huron fish community structure based on gill-net catches corrected for selectivity and encounter probability. North American J Fish Manag 12: 585-597. Tesch FW. 1971. Age and growth. In: Ricker WE (ed). Methods for Assessment of Fish Production in Freshwaters. Blackwell Scientific Publications, Oxford. Trewavas E. 1983. Tilapiine Fishes of the Genera Sarotherodon, Oreochromis and Danakilia. British Museum of Natural History Publication. Comstock Publishing Associates, Ithaca, New York. Turner GF, Seehausen O, Knight ME, Allender C, Robinson RL. 2001. How many species of cichlid fishes are there in African lakes? Mol Ecol 10 (3): 793-806. Ugwumba AAA. 1988. Food and Feeding Habits of Juveniles of some Culturable Fish Species in Nigeria. Nigerian Institute for Oceanography and Marine Research, Technical Paper No. 3, Nigeria. UNEP. 2001. Review of the inter linkages between Biological Diversity and Climate Change and Advice on the Integration of Biodiversity Considerations into the Implementation of United Nations Framework Convention on Climate Change and its Kyoto Protocol. UNEP/CBD/SBSTTA/ 91/11 Van Dyke F. 2003. Conservation Biology. Foundations, Concepts, Applications. McGraw-Hill Companies, New York.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 200-205

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150212

Biological and functional diversity of bird communities in natural and human modified habitats in Northern Flank of Knuckles Mountain Forest Range, Sri Lanka KALYA SUBASINGHE1,♥, AMILA P. SUMANAPALA2 1

Environmental Technology Section, Industrial Technology Institute, Colombo 7. Sri Lanka. Tel: +94-11-2379905; ♥ email: kalya_subasinghe@yahoo.com 2 Department of Zoology, University of Kelaniya, Kelaniya 11600, Sri Lanka. Manuscript received: 2 June 2014. Revision accepted: 27 July 2014.

ABSTRACT Subasinghe K, Sumanapala AP. 2014. Biological and functional diversity of bird communities in natural and human modified habitats in Northern Flank of Knuckles Mountain Forest Range, Sri Lanka. Biodiversitas 15: 200-205. The Knuckles Mountain Forest Range (KMFR) has a complex mosaic of natural and human modified habitats and the contribution of these habitats to the biological and functional diversities has not been deeply studied. Present study investigated both of these diversities in five habitat types (two natural habitats: Sub-montane forest and Pitawala Patana grassland; three modified habitats: cardamom, pinus and abandoned tea plantations) in Northern Flank of KMFR using birds as the indicator group. Bird communities were surveyed using point count method. A total of 1,150 individuals belonging to 56 species were observed. The highest species richness was reported from the cardamom plantation where as sub-montane forest had the highest feeding guild diversity in terms of Shannon Weiner index. The abandoned tea plantation and the Pitawala Patana grasslands with fairly open habitats, showed relatively lower levels of feeding guild diversities. It is clear that the structurally complex habitats contribute more to the area’s biological and functional diversities and need to be taken into consideration when developing conservation plans. Key words: Bird species richness, feeding guild diversity, modified habitats, cardamom, pinus.

INTRODUCTION The Knuckles Mountain Forest Range (KMFR) is located in the central province of Sri Lanka, as a small massif isolated from the central hills. This extremely rugged massif covers an area of 21,000 ha. KMFR is a part of the Central Highlands of Sri Lanka natural world heritage site, due to its rich biological diversity (UNESCO 2012). Varying topographic and climatic conditions within the forest range has resulted in a wide variety of vegetation types and associated high faunal diversity (Gunawardane 2003). According to de Rosayro (1958) there are three major forest formations in the KMFR, viz. tropical lowland wet semi-evergreen forest, tropical Sub-montane wet semi evergreen forest and tropical Montane wet evergreen forest. Land-use pattern in KMFR is highly complex. A considerable amount of forested habitats of KMFR were cleared to create land for cash crops during the colonial era (Bambaradeniya and Ekanayake 2003). Part of the KMFR was cleared for cultivating coffee and later for tea cultivation (Gunawardane 2003). Some parties engaged in underplanting of cardamom (Elettaria cardamomum), from a long time. By 1987, half of the cardamom plantations in the country were from Knuckles region. The Sub-montane and Montane forests at the KMFR provide ideal conditions for the cultivations of cardamom. This herb is best grown

under shady conditions. Therefore farmers remove about quarter of the over-story of the natural forest and clear the understory which includes shrubs, herbs and developing saplings before planting cardamom (Abeygunawardena and Vincent 1993). After introduction of the Forest Policy in 1970, large areas of land were put under plantation forestry (de Zoysa 2001). More than 25,000 ha of abandoned, highly eroded unproductive tea plantations were converted to plantations of pinus in the wet and intermediate lowlands and montane areas including some parts of the KMFR in order to reforest denuded areas and to meet the long fiber requirement for the paper industry. Recent studies have shown spread of pinus into adjacent habitats such as grasslands (Medawatte et al. 2008). The change of bird assemblages in undisturbed and human modified habitats has been studied in different parts of the world by several authors (Bhatt and Joshi 2011; Naithani and Bhatt 2012; Joshi and Bhatt 2013; Kukreti and Bhatt 2014). From the human modified habitats, agroforestry systems such as shade coffee (Coffea arabica) and cacao plantations (Theobroma cacao) have been shown to support greater number of forest bird species with higher diversity than the open agricultural systems with few or no trees (Estrada et al. 1997; Greenberg et al. 1997; Petit et al. 1999).


SUBASINGHE & SUMANAPALA – Bird communities in Knuckles Mountain, Sri Lanka

Studies have conducted to assess the effect of land-use or land cover types on abiotic variables (Dharmaparakrama 2006) as well as on biological communities (Weerakoon et al. 2010; Weerawardhena and Russell 2012) in KMFR. Only few ornithological studies have been carried out around KMFR hitherto (Bambaradeniya and Ekanayake 2003; Nizam 2011). According to Nizam (2011) a total of 179 species have been recorded from the Northern Flank of KMFR proving the rich bird diversity in this region. Out of these species, 16 were endemic to Sri Lanka, while 31 were migrant species. This long term study considered a wider altitudinal range (300 m and 1600 m) than the present study, in order to assess the importance of altitudinal variation on diversity. Therefore the results express the bird diversity associated with the lowland forest habitats in Northern region as well. The main objective of this study was to investigate the contribution from natural and human modified habitats to the biological and functional diversities in Northern Flank of KMFR using birds as the indicator group. This main objective was achieved via analyzing the species richness and the feeding guild diversities of birds in each habitat type.

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where the turf does not exceed 10 cm except few places where shrubs grown up to two meters in height. This grassland is located on a rock slab covered with a thin soil layer of 5 to 10 cm (Bambaradeniya and Ekanayake 2003).

MATERIALS AND METHODS Study location The study was conducted in Northern region of KMFR within the altitude range of 600 to 1,300 m which is the altitudinal range specific to sub-montane forest range (Bambaradeniya and Ekanayake 2003). As observed, this area is highly disturbed and fragmented due to human activities forming a mosaic landscape. Commercial plantations of pinus, eucalyptus (Eucalyptus grandis), cardamom, abandoned tea plantations are present within the area. Different types of vegetation, such as Submontane forest areas, Pitawala Patana and scrublands are found within the study area. However the study was conducted only in prominent habitats within the selected altitudinal range i.e. (i) Sub-montane forest, (ii) cardamom plantations, (iii) pinus plantations, (iv) abandoned tea plantations and (v) Pitawala Patana grassland. The map of study location is given in Figure 1. Sub-montane forest has a tree density of 14 per 100 m2. Some of the common plant species in sub-montane forest stand are Elaeocarpus glandulifera, Symplocos cochinchinensis, Myristica dactyloides and Turpinia malabarica (Bambaradeniya and Ekanayake 2003). The pinus plantation is consisted of densely planted (20 per 100 m2) gymnosperm species, Pinus caribaea. The cardamom plantation has a clump density of 50 per 100 m2 and is shaded by sub-montane vegetation. The abandoned tea plantation was of a closely grown grassy cover up to 2 m height. This was dominated by Cymbopogon nardus intermingled with tea plants. Tea plantation that has been abandoned since 1960’s, still exists as grassland without further succession due to frequent fires occurring within the area. Pitawala Patana is rare type of natural grassland,

Figure 1. Map of the study area

Bird sampling Bird sampling was carried out between March, 2012 and September, 2012. A standard fixed radius point count method was used for bird sampling (Ralph et al. 1995). A total of 28 point count stations were established within each habitat type, with a 100 m distance between two stations and 100 m from the edge. Bird counting was not repeated on any of the sampling plot (Ralph et al. 1995). At each point count station, all birds detected visually within a radius of 25 m during a 10-min observation period were reported with the use of Olympus 10 × 50 DPS binocular. Identification of detected but doubtful or rare bird species were confirmed subsequently by the acoustical and visual recordings. Birds were identified to the species level using available field guides (Harrison 1999; Kotagama and Ratnavira 2010). Nomenclature and taxonomy follow BirdLife International’s taxonomic checklist (BirdLife International 2014). Point count stations were visited between 6.00 am and 9.30 am, and 3.30 pm and 5.00 pm when bird activities were observed to be highest within the study area. Any flying birds that were not seen to take-off from the point count station were excluded from analysis. No surveys were made on rainy or windy days.


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Data analysis All detected bird species were categorized into six feeding guild types viz. frugivore, nectarivore, carnivore, omnivore, insectivore or granivore based on their predominant diet reported by authors (Henry 1998; Legge 1983). Classification procedure: (i) Carnivores: Those who feed predominantly on vertebrates. (ii) Frugivores: Those who feed exclusively on fruits or feed on both fruits and nectar/seeds. (iii) Granivores: Those who feed mainly on grains, but also on seeds. (iv) Insectivores: Those who feed predominantly on insects, where some also feed on other arthropods with similar preference. (v) Nectarivores: Bird species that predominantly feed on nectar but also sometimes insects. (vi) Omnivores: Bird species that feed on both plant and animal material with equal preference. Shannon Weiner diversity index was used to determine the feeding guild diversity in each habitat: sub-montane forest, cardamom plantations, pinus plantations, abandoned tea plantations and Pitawala Patana (H´ = - Σ pi ln pi; where pi = proportion of individuals from the ith type of feeding guild). One-way ANOVA was used to test whether the relative abundance or the species richness of each feeding guild are significantly affected by the habitat type. Same test was also performed to investigate whether the overall species richness of avifauna affected by the habitat type. The level of significance for all results was set at p<0.05. Statistical analysis was performed using MINITAB 14 software (Minitab, Inc., State College, PA, USA).

RESULTS AND DISCUSSION Species composition and diversity A total of 1,150 individuals belonging to 56 species were detected during the study. These 56 species were arrayed among 27 families (Table 1). Species from family Muscicapidae, Pycnonotidae, Timaliidae were shown to be more common within the study area. The number of bird species reported per point count station was significantly affected by the habitat type (One-way ANOVA; F= 65.21; p<0.05). Out of the 56 species recorded within study area, 31 bird species were recorded from Sub-montane forest. Asian Black Bulbul (Hypsipetes leucocephalus), Yellowfronted Barbet (Megalaima flavifrons) and Sri Lanka Scimitar-babbler (Pomatorhinus melanurus) were the most frequently observed species among these. Highest number of bird species was recorded from cardamom plantation (33). Yellow-eared Bulbul (Pycnonotus penicillatus; Figure 2A), Asian Black Bulbul and Sri Lanka Dull-blue Flycatcher (Eumyias sordida; Figure 2B) were commonly observed within this habitat type. High bird species richness reported from the sub-montane forest and the cardamom plantation indicates the greater importance of structurally complex habitats, which provide feeding and nesting resources as well as protection for birds. Only 20 species of birds were recorded from the pinus plantation. This plantation with its prominent exotic tree species is not capable of supporting greater number of bird species as in Sub-montane forest or structurally complex monoculture; cardamom plantation. Low bird species richness in pinus plantation has been reported in Clout (1984), Senanayake (1987) and Zhang et al. (2011).

Table 1. Bird species observed in different habitats in Northern Flank of Knuckles Mountain Forest Range, Sri Lanka. Reported Feeding habitats guilds SM CA PI AT PP Accipitridae Accipiter badius C Nisaetus nipalensis C Pernis ptilorhynchus C Spilornis cheela C Aegithinidae Aegithina tiphia I Campephagidae Pericrocotus flammeus I Charadriidae Vanellus indicus I Cisticolidae Prinia inornata I Prinia socialis I Columbidae Chalcophaps indica G Stigmatopelia chinensis G Treron pompadora F Cuculidae Centropus sinensis C Clamator coromandus I Dicaeidae Dicaeum erythrorhynchos O Dicruridae Dicrurus caerulescens I Estrildidae Lonchura kelaarti G Laniidae Lanius cristatus I Monarchidae Hypothymis azurea I Terpsiphone paradisi I Motacillidae Dendronanthus indicus I Muscicapidae Culicicapa ceylonensis I Cyornis tickelliae I Eumyias sordida I Nectariniidae Nectarinia lotenia N Nectarinia zeylonica N Paridae Parus major I Phasianidae Gallus lafayetii O Picidae Chrysocolaptes lucidus I Dinopium benghalense I Psittacidae Loriculus beryllinus F Psittacula calthropae F Pycnonotidae Hypsipetes leucocephalus O Pycnonotus cafer O Pycnonotus penicillatus O Ramphastidae Megalaima flavifrons F Megalaima rubricapillus F Rhipiduridae Rhipidura aureola I Sittidae Sitta frontalis I Sturnidae Acridotheres tristis O Gracula ptilogenys F Gracula religiosa F Sylviidae Acrocephalus dumetorum I Orthotomus sutorius I Phylloscopus magnirostris I Phylloscopus trochiloides I Timaliidae Chrysomma sinense O Dumetia hyperythra I Pellorneum fuscocapillus I Pomatorhinus melanurus I Rhopocichla atriceps I Turdoides affinis O Trogonidae Harpactes fasciatus I Turdidae Zoothera spiloptera I Zosteropidae Zosterops ceylonensis O Zosterops palpebrosus O Note: SM: Sub-montane forest, CA: Cardamom plantation, AT: Abandoned tea plantation, PI: Pinus plantation, PP: Pitawala Patana, I: insectivore, O: omnivore, F: frugivore, N: nectarivore, G: granivore, C: carnivore. Family

Bird species


SUBASINGHE & SUMANAPALA – Bird communities in Knuckles Mountain, Sri Lanka

A

B

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D

C

Figure 2. A. Yellow-eared Bulbul (Pycnonotus penicillatus) photo by T.D. Karunathilake, B. Dull-blue Flycatcher (Eumyias sordiduse), C. Sri Lanka Myna (Gracula ptilogenys) photo by B.J. Subasinghe, D. Nesting hole of Sri Lanka Myna.

Nevertheless, the number of species recorded in this study is relatively higher than expected. This could be due to the presence of considerable amount of undergrowth that has resulted from less human intervention. Moreover the landscape in which this plantation located has a forest matrix. Therefore a greater variety of bird species are present within the area even to utilize the slightest resources present in this plantation. Asian Black Bulbul and Sri Lanka Myna (Gracula ptilogenys; Figure 2C) were frequently observed in pinus plantations. Few eucalyptus trees located within the pinus plantation site have provided nesting holes for Sri Lanka Myna, and have caused a considerable increase of this population within this habitat type (Figure 2D). Relatively low number of bird species was recorded from abandoned tea plantations (13) and Pitawala Patana (15) compared to all other habitat types. Most of the species observed in these two habitat types are the species that prefer more open habitats with less canopy cover. Redvented Bulbul (Pycnonotus cafer) was frequently observed in both these habitat types, but was not reported from Submontane forest or in cardamom plantation. In abandoned tea plantation, Ashy Prinia (Prinia socialis) was also recorded more frequently. Feeding guild structure Out of the 56 species recorded from the study area, 29 species were insectivores, 10 were omnivores, seven were frugivores, two were nectarivores, five were carnivores and three were granivores. Thus the insectivores can be considered as the dominant feeding guild in terms of species richness. Although the species richness is highest for insectivorous birds, the relative abundance was

noticeably higher in omnivorous birds. Marsden et al. (2006) has shown that the guild species richness do not always correlate with the relative abundance. According to Clough et al. (2009), the most productive habitats for birds are those providing a range of resources which can support a variety of foraging groups. In this study, Sub-montane forest, with birds of all feeding guild types and the highest value for feeding guild diversity (H= 1.33; Table 2) proves its importance for avifauna as a highly productive habitat. From all the bird species recorded from the sub-montane forest 18 (58.1%), were insectivores. Cardamom plantation supported 17 (51.5%) species of insectivores and 8 (18.2%) species of omnivores (Figure 3A). Only 8 species of insectivores were recorded from the abandoned tea plantation. However this accounts for 61.5% of the total bird species richness within the habitat. In Pitawala Patana, 40% of the observed species were insectivores and 33% were omnivores. Relatively low values of Shannon Weiner index for the feeding guild diversity in abandoned tea plantation and Pitawala Patana proves the presence of narrow range of resources within these habitats (Table 2). Table 2. Bird species richness and the Shannon Wiener index values for feeding guild diversity in different habitats SM

CA

AT

PI

PP

Species richness 31 33 13 20 15 Shannon Weiner index 1.33 1.13 0.87 1.32 0.82 for feeding guild diversity Note: SM: Sub-montane Forest, CA: Cardamom Plantation, AT: Abandoned Tea Plantation, PI: Pinus Plantation, PP: Pitawala Patana


B I O D I V E R S IT A S 15 (2): 200-205, October 2014

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A

B

Figure 3. Distribution of bird feeding guilds in selected habitats: A. Proportion of species in each feeding guild type. B. Relative abundance of each feeding guild type.

Although the proportion of insectivorous species appears to be highest in all habitats, the abundance shows a deviation from this pattern. The relative abundance of omnivores was highest in the habitat types other than in Sub-montane forest and abandoned tea plantation (Figure 3B). In abandoned tea plantation, insectivores were highly abundant (53.7%). High herbaceous and the grass cover associated with this abandoned tea plantation could support rich populations of insect species as explained by previous authors (Conner et al. 2006; Collins et al. 2002). Relatively shorter herbaceous cover in Pitawala Patana has excluded many insectivorous bird species common to abandoned tea plantation and it supports a higher number of omnivores that forage in low vegetation such as the Yellow-eyed Babbler (Chrysomma sinense) and granivores that feed on ground such as the Spotted Dove (Stigmatopelia chinensis). Similar to the present study, a higher abundance of insectivorous birds in undisturbed forest habitat was reported by previous authors (Sekercioglu 2012) and this feeding guild has been identified as a highly sensitive guild for habitat disturbances (Canaday 1997; Sekercioglu et al. 2002). Table 3. Analysis of variance (ANOVA) for relative abundance and species richness of birds in different feeding guilds among selected habitats.

Relative abundance as well as the species richness of insectivores, omnivores, frugivores, and granivores differed significantly among habitat types (One-way ANOVA; p<0.05; Table 3). This indicates that the feeding guild structure of bird communities could be affected by the type of habitat as reported by Azman et al. (2011) with reference to conversion of forest into oil palm plantation or paddy fields. Changes in feeding guild structure of birds by habitat change and disturbance was also reported by Ayata and Tata 2011. However, according to the results of the present study the relative abundance of carnivorous and the nectarivorous birds have not been changed with the type of habitat within this landscape.

CONCLUSION Biological diversity as well as the functional diversity of birds in Northern region of KMFR is influenced by the type of habitat. Structurally complex habitats, such as submontane forest and cardamom plantation with shade trees could support a greater number of species with wide foraging strategies. Findings of this study highlight the importance of proper planning and managing of natural and human modified habitats within an area for the conservation of avifauna.

Insectivores Omnivores Frugivores Nectarivores Carnivores Granivores

ACKNOWLEDGEMENTS Species richness f 30.27 14.37

51.72

2.50

1.31

2.58

p <0.001

<0.001

0.045

0.270

0.040

Relative abundance f 21.53 18.00

35.28

2.25

1.31

2.69

p <0.001

<0.001

0.067

0.270

0.034

<0.001

<0.001

We would like to thank University of Kelaniya and the Department of Forest Conservation, Sri Lanka for giving us the opportunity to carry out this research. Further our sincere gratitude goes to parents, T.D. Karunathilake, and to Upali Ekanayake who is an experienced ornithological tour leader, for extensive support given during field surveys.


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REFERENCES Abeygunawardena P, Vincent JR. 1993. Bare Knuckles: Fighting Deforestation in Sri Lanka. Harvard Institute for International Development (Spring 1993): 1-17. Ayat A, Tata HL. 2011. Ecosystem Services Provided by Birds in Different Habitats. The First International Conference of Indonesian Forestry Researchers (INAFOR), INAFOR Secretariat, Bogor. Azman NM, Latip NSA, Sah SAM, Akil MAMM, Shafie NJ, Khairuddin NL. 2011. Avian diversity and feeding guilds in a secondary forest, an oil palm plantation and a paddy field in riparian areas of the Kerian River Basin, Perak, Malaysia. Trop Life Sci Res 22(2): 45-64. Bambaradeniya CNB, Ekanayake SP. 2003. A Guide to the Biodiversity of Knuckles Forest Region. IUCN, Sri Lanka. Bhatt D, Joshi KK. 2011. Distribution and abundance of avifauna in relation to elevation and habitat types in Nainital District (western Himalaya) of Uttarakhand State, India. Curr Zool 57: 318 - 329. BirdLife International. 2014. BirdLife International Data Zone. http://www.birdlife.org/datazone/info/taxonomy. [24.05.2014]. Canaday C. 1997. Loss of insectivorous birds along a gradient of human impact in Amazonia. Biol Conserv 77: 63-77. Clough Y, Putra DD, Pitopang R, Tscharntke T. 2009. Local and landscape factors determine functional bird diversity in Indonesian cacao agroforestry. Biol Conserv 142: 1032-1041. Clout MN. 1984. Improving exotic forests for native birds, New Zealand. J For 29: 193-200. Collins CS, Conner SRN, Saenz D. 2002. Influence of hardwood midstory and pine species on pine bole arthropods. For Ecol Manag 164: 211220. Conner RH, Saenz D, Burt DB. 2006. Food for early succession birds: Relationship among arthropods, shrub vegetation and soil. Bull Texas Ornithol 39 (1): 3-7. de Rosayro RA. 1958. The climate and vegetation of the Knuckles region of Ceylon. The Ceylon Forester 3 (3-4): 210-260. de Zoysa M. 2001. A Review of Forest Policy Trends in Sri Lanka. Policy Trend Report 2001: 57-68. http://enviroscope.iges.or.jp/ modules/envirolib/upload/370/attach/p57-68_SriLanka.PDF [02.06.2014]. Dharmaparakrama ALS. 2006. Land Use Patterns in and around Knuckles and Carbon Sequestration Potential. http://www.abdn.ac.uk/knuckles/ presentations/ dharmalanduse.pdf. [02.06.2014]. Estrada A, Coates-Estrada R, Meritt DA. 1997. Anthropogenic landscape changes and avian diversity at Los Tuxtlas, Mexico. Biodiv Conserv 6: 19-43. Greenberg R, Bichier P, Sterling J. 1997. Bird populations in rustic and planted shade coffee plantations of eastern Chiapas, Mexico. Biotropica 29: 501-514. Gunawardane HG. 2003. Ecological implications of cardamom cultivation in the high altitudes of Knuckles Forest Reserve, Central province, Sri Lanka. The Sri Lanka Forester 26 (New series): 1-9. Harrison J. 1999. A Field Guide to the Birds of Sri Lanka. Oxford University Press, London. Henry GM. 1998. A guide to the Birds of Sri Lanka, 3rd ed, Oxford University Press, London.

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Joshi KK, Bhatt D. 2013. Avian species distribution in different elevation zone forest (Sal, Pine Mixed and Oak) in Nainital District of Uttarakhand, India. Russian J Ecol 44: 71-79. Kotagama S, Ratnavira G. 2010. An Illustrated Guide to the Birds of Sri Lanka, Field Ornithology Group of Sri Lanka. Kukreti M, Bhatt D. 2014. Birds of Lansdowne forest division and adjacent suburban landscapes, Garhwal Himalayas, Uttarakhand, India: community structure and seasonal distribution. Biodiversitas 15: 80-88. Legge V. 1983. A History of the Birds of Ceylon, 2nd ed, Tisara Publications Ltd, Colombo. Marsden SJ, Symes CT, Mack AL. 2006. The response of a New Guinean avifauna to conversion of forest to small-scale agriculture. Ibis 148: 629-640. Medawatte WWMAB, Tennakoon KU, Hulme PE, Gunatilleke IAUN. 2008. Spread of Caribbean pine into the grasslands of the Knuckles Range (KR), Sri Lanka. In: The proceeding of National Symposium on Invasive Alien Species, Colombo, Sri Lanka, 11 November 2008. Naithani AB, Bhatt D. 2012. Bird community structure in natural and urbanized habitats along an altitudinal gradient in Pauri district (Garhwal Himalaya) of Uttarakhand state, India. Biologia 67: 800808. Nizam BZ. 2011. Distribution and Habitat Relationships of Avifauna in the Northern Flank of the Knuckles Region, Sri Lanka. [M.Sc.Thesis]. Open University, Sri Lanka. Petit LJ, Petit DR, Christian DG, Powell HDW. 1999. Bird communities of natural and modified habitats in Panama. Ecography 22: 292-304. Ralph JC, Droege S, Sauer JR. 1995. Managing and Monitoring Birds Using Point Counts: Standard and Applications. USDA Forest Service General Technical Report: 161-169. Sekercioglu CH, Ehrlich PR, Daily GC, Aygen D, Goehring D, Sandi R. 2002. Disappearance of insectivorous birds from tropical forest fragments. Proc Natl Acad Sci USA 99: 263-267. Sekercioglu CH. 2012. Bird functional diversity and ecosystem services in tropical forests, agroforests and agricultural areas. J Ornithol 153: 153-161. Senanayake R. 1987. Some strategies for effective communication in tropical forest issues. Loris 17: 191-195. UNESCO. 2012. World Heritage List. http://whc.unesco.org/en/list. [28.8.2013]. Weerakoon GSK, Somaratne S, Wolseley PA, Wijeyaratne SC. 2010. Corticolous lichens as indicators of different forest management practices in the dotalugala - Knuckles mountain range, Sri Lanka. In: Proceedings of International Forestry and Environment Symposium, Sri Lanka, Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Sri Lanka. Weerawardhena SR, Russell AP. 2012. Historical land-use patterns and their relationship to conservation strategies for anuran amphibians in the Riverstone Region, Knuckles Mountain Forest Range, Sri Lanka. Taprobanica 4 (2): 92-102. Zhang Q, Han R, Zou F. 2011. Effects of artificial afforestation and successional stage on a lowland forest bird community in southern China. Forest Ecol Manag 261: 1738-1749.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 206-214

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150213

The effect of natural and planted forest stands on soil fertility in the Hyrcanian region, Iran ♼

RAZIYEH RAFEIE JAHED, SEYED MOHSEN HOSSEINI , YAHYA KOOCH Faculty of Natural Resources and Marine Science, Tarbiat Modares University, Noor, Mazandaran, Iran. Tel.: +989111213898, Fax. +981226253499, ♼ email: hosseini@modares.ac.ir. Manuscript received: 7 August 2014. Revision accepted: 22 August 2014.

ABSTRACT Rafeie Jahed R, Hosseini SM, Kooch Y. 2014. The effect of natural and planted forest stands on soil fertility in the Hyrcanian region, Iran. Biodiversitas 15: 206-214. In the present work, we studied the effect of natural and planted forest stands on soil fertility in the Hyrcanian region of northern Iran. Natural forest stands (including Acer velutinum Bioss., Zelkova carpinifolia (Pall), Parrotia persica (DC.) C.A.Mey, Quercus castaneifolia C.A. Mey., Carpinus betulus L, Mixed planted stand (including Acer velutinum, Ulmus carpinifolia G. Suckow Quercus castaneifolia C.A. Mey, Carpinus betulus L., Tilia begonifolia Scop. subsp. caucasia (Rupr.) Loria; maple (Acer velutinum Bioss) plantation, pine (Pinus taeda L.) plantation and also clear-cut region (control) were considered in this research. Soil samples were collected at two different depths, i.e., 0-15 and 15-30 cm, and characterized with respect to organic carbon (C), total nitrogen (N), available nutrient elements (P, K, Ca and Mg); pH and soil texture. The results showed that the highest amount of total N was found in mixed plantation. The highest amount of available P was detected in maple plantation and pine plantation had the highest available K and organic C than other treatments. The highest and the lowest available Ca and Mg were found in natural forest and control area, respectively. In addition, it was observed that nutrients accumulate in upper layers of the soil. Hardwood stands have been more successful than the conifers stands, so this should be considered in the sustainable management of forests. Key words: Broad-leaved, needle-leaved, natural forest, plantation, soil nutrients.

INTRODUCTION There are numerous as well as very complex relationships and processes between the soil and the plant and in recent years, plant scientists and soil scientists have made effort to identify the rules governing this complex system. In this way, many achievements has been gained but still a long way is ahead to understand all aspects of this complex system (Alizadeh 2004). Development of forests through the forestation is inevitable at present and in the future due to the destruction of natural forests in the world, the growing population and increasing the need for wood products and other forest services. Reduced area of natural forests has led forestation with the purpose of forest development and wood production to be of high importance, thus assessment of planted forests will play an important role in establishing forests with better quality and quantity in the future. Forest soil properties including quantity and quality of soil organic matter reserves are depended on complex climatic responses, soil type, management and tree species in soil nutrient cycling between trees and soil (Lal 2005). Different tree species through their different characteristics in litter production, nutrient release and having specific chemical compounds in their litter play a major role in the nutrient cycling (Rahajoe 2003). Nitrogen (N), phosphorus (P) and potassium (K) reserves are among the important indicators for evaluation the effect of tree

species on ecosystem function (Lovett et al. 2002). Numerous studies have been conducted on the effects of tree species on soil properties indicating a significant effect of over story tree species on soil productivity (Binkley and Giardina 1998; Mohr et al. 2005). Schulp et al. (2008) assessed the effect of tree species on carbon (C) stocks in forest floor and mineral soil and implications for soil C inventories and in their the effects of forestation on soil properties were investigated; results revealed a most positive effect of forestation on soil properties and C uptake. Neirynck et al. (2000) found that C/N ratio in topsoil under maple plantation was the lowest compared to other species and some species namely lime (Tilia platyphyllos), ash (Fraxinus excelsior) and maple (Acer psedoplatanus) that generally produces humus had higher pH values than red oak (Quercus robur) and beech (Fagus sylvatica) species. The study carried out by Lovett et al. (2002) showed that tree species may affect the cycling of C, N and other nutrients in the soils under their canopies and this, in turn, can influence on substantial processes at an ecosystem level. The study of Hagen-Thorn (2004) on 30 years old plantations showed that tree species clearly influence on different soil properties and this effect is more pronounced at a depth of 0-10 cm of topsoil. Rouhi-Moghadam et al. (2011) investigated some of the soil properties in pure and mixed planted stands of oak (Quercus castaneifolia) in Chamestan, northern Iran. They found that tree species


RAFEIE JAHED et al. – Effect of forest stands on soil fertility

planted in different types of plantations can to some extent influence on soil properties so that some of planted treatments caused increased C/N ratio and increased lime and Ca and Mg and to some extent decreased acidity compared to control treatment. It was also found that the upper layer of pure oak treatment had the lowest total N and the highest C/N ratio and this treatment had the highest electrical conductivity (Ec) in its lower layer compared to other planted treatments. Bakhshipour et al. (2012) studied some soil properties including pH, organic C, P, K, Ca, Mg, soil texture, bulk density and microbial biomass respiration imposed by taeda pine (Pinus taeda) and poplar (Populus deltoides) plantations. The results indicated that taeda pine plantation showed the higher soil bulk density compared to poplar plantation while poplar plantation represented the higher soil pH and available P compared to other treatment. The specific objective of this study was to quantify the effects of different tree species on selected soil properties, especially fertility, in a part of northern Iran.

MATERIALS AND METHODS Study area This study was carried out in forests of Noor County, 4 km apart from Chamestan, Mazandaran province, Northern Iran. Locating at 36° 19' 48''-36° 20' 41'' N and 51° 51' 39''51° 52' 44'' E, the elevation in study area varies from 150 m to 250 m a.s.l (Figure 1). Slope in the study area ranges from 0% to 30% and climate is classified as humid according to de Marton climatic classification. Mean annual precipitation

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and temperature are 997 mm and 16.4 °C, respectively. Parent materials are mostly conglomerate, sandstone and limestone, calcareous marl and partially sand limestone and silty limestone. Forest soils in the study area are brown forest with acidic pH and the alluvial Calcimorph and texture are relatively heavy to heavy clay. The studied stands includes: (i) Natural stand (Acer velutinum, Zelkova carpinifolia, Parrotia persica, Quercus castaneifolia, and Carpinus betulus) with an area of 22 ha; (ii) Mixed planted stand (Quercus castaneifolia, Carpinus betulus, Acer velutinum, Tilia begonifolia, Parrotia persica) with an area of 10.1 ha; (iii) Maple stand (Acer velutinum) with an area of 14 ha; (iv) Taeda pine planted stand with an area of 16.8 hat, and (v) Control region with an area of 17.2 ha (this part is located in the vicinity of pine planted stands and adjoining the main road was totally clear cut in 1997). Soil sampling and analysis In the experimental area, the soil investigations were carried out with the aim of estimating the effect of plantation type on soil properties. For this purpose, four hectare areas (200×200m) were selected for each stand. In order to decrease the border effects, surrounding rows of stands were not considered during sampling. Soil sampling was dug along the four parallel transects in the central part of each afforested stand. Soils were sampled to a depth of 30 cm in all plantations during the summer time using a 7.6 cm diameter core sampler (n = 16 cores/stand using a randomly systematic method) taken at 0-15 and 15-30 cm depths. The same sampling procedure was carried out also for the control area (Kooch et al. 2012).

Figure 1. Location of study area in Chamestan region ( ), Noor County, Province of Mazandaran, Northern Iran.


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After air drying, soils were passed through a 2.0 mm (20 mesh) sieve to remove roots prior to laboratory analyses. Soil texture was determined by the Bouyoucos hydrometer method (Bouyoucos 1962). pH was measured using an Orion Ionalyzer Model 901 pH meter in a 1: 2.5, soil: water solution. SOC was determined using the Walkley-Black technique (Allison 1975). Total N was determined using the Kjeldhal method (Bremner and Mulvaney 1982). Available P was determined with spectrophotometer by using Olsen method (Homer and Pratt 1961). Available K, Ca and Mg (by ammonium acetate extraction at pH 9) were determined with Atomic absorption Spectrophotometer (Bower et al. 1952). Data analyses Normality of the variables was checked by Kolmogorov-Smirnov test and Levene’s test was used to examine the equality of the variances. The soil parameters were analyzed by using two-way analysis (ANOVA) procedure, treating plantation and soil depth as factors with interaction. Duncan tests were used to separate the averages of the dependent variables which were significantly affected by treatment. SPSS v.16 software was used for all the statistical analyses.

RESULTS AND DISCUSSION Results Soil fertility properties Among the stands, the highest amount of organic C was belonged to taeda pine forested stand (3.25%). The value of organic C at the first depth (3.45%) was higher the second depth (1.73%), indicating a decrease in carbon storage with increasing depth (Table 1; Figure 2 A). The highest value of total N was reported in mixed plantation (0.29%) followed by pine forest (0.28%), maple plantation (0.25%), natural forest (0.20%) and the control (0.20%), respectively (Figure 2b). total N in the first depth (0.28%) was higher than the second depth (0.21%) (Table 1; Figure 2B). Available P was not significantly different in studied stands and depths (Table 1; Figure 2C). The highest value of available K was observed in pine plantation (295.25 mg/kg) and the values for maple plantation, mixed plantation, control and natural forest were 226.87 mg/kg, 220.37 mg/kg, 202.12 mg/kg, and 199.37 mg/kg, respectively (Table 1; Figure 2D). The highest value of available Ca was found for the control (3300.25 mg/kg) compared to maple plantation, mixed plantation, pine plantation and natural forest with 2300 mg/kg, 2186.31 mg/kg, 2038.75 mg/kg, 1748.75 mg/kg, respectively (Table 1; Figure 2E). The highest value of available Ca was reported for the natural forest (861.8 mg/kg) followed by mixed plantation, control, pine plantation, and maple plantation with 753.75 mg/kg, 721.87 mg/kg, 719.50 mg/kg, 639.25 mg/kg, respectively (Table 1; Figure 2F). Also the highest available K was found in the first depth. Available P, Ca, and Mg did not show significant differences in terms of studied depths (Table 1; Figures 2C-F).

Table 2. ANOVA for soil fertility in the studied stands and depths. Source of change

Characteristic

F-value

Stand C 4.439 Depth 73.411 Stand*depth 2.242 Stand N 4.440 Depth 15.421 Stand*depth 1.669 Stand P 1.048 Depth .000 Stand*depth .632 Stand K 4.791 Depth 21.212 Stand*depth .448 Stand Ca 6.114 Depth 2.456 Stand*depth .413 Stand Mg 6.114 Depth .045 Stand*depth .768 Note: Different is significant at the 0.05 level.*

Sig .003* .000* .073 .003* .000* .167 .389 .998 .641 .002* .000* .774 .000* .122 .799 .000* .832 .549

Soil physicochemical properties The results indicated significant differences between the stands in terms of clay content so that the highest clay content was observed in mixed forested stand (53.56%) followed by natural forest stands (45.17%), control (41.37%), taeda pine forested stand (40.75%) and maple forested stand (40.25% ) (Table 1). Natural forest stand showed the highest silt content (34.25%) followed by control stands (34%), taeda pine forested stand (32.37%), maple forested stand (28.75%) and mixed forested stand (26.06%) (Table 1). The highest acidity was significantly observed for control stand (7.72) followed by maple forested stand (6.5), teada pine forested stand (6.39); mixed forested stand (6.16) and natural forest stand (5.94). Soil texture components (sand, silt and clay) and acidity were not significantly different in different soil depths (Table 1). Discussion In the past decade, the area of plantations has been increased rapidly worldwide. Since 2005, about 140 million ha land have been forested with this year 2.8 million ha planted forest (Del Lungo et al. 2006). Regarding that each year natural forest areas in the north of Iran are reduced due to destruction and intense logging, and on the other hand, wood recruitments had increasing trend due to improvement of population, therefore, plantation with native species and exotic ones in order to rehabilitating degraded forests and providing requirements of society is necessary for this region (Yousefi et al. 2010). The effect of tree species on soil productivity is the result of interactions between trees and all parts of the ecosystem and it is not limited to the effects of trees on mineral soil. For example, the effect of a tree species on soil productivity varies in different parent materials (Augusto et al. 2002). Most of sustainable production concepts in plantations focus on increase or decrease in the amount of nutrients in site, especially in secondary harvesting


RAFEIE JAHED et al. – Effect of forest stands on soil fertility

rotations. Forest soil properties including quantity and quality of soil organic matter (SOM) reserves are depended on complex climatic responses, soil type, management and tree species in soil nutrient cycling between trees and soil (Lal 2005). In fact, one can understand the interaction between forests and soils within the regional climate by considering the role of trees in soil biological cycle (ZarinKafsh 2001). Annually trees add several tons of litter to the soil and make some changes in soil properties, since by decomposition of litter carbon and oxygen are emitted to atmosphere and nutrients are returned to the soil (Onyekwelu et al. 2006). In fact, it can be say that different tree species by adding different litter types to the soil make soils with different properties at the same climate, topographic and managerial conditions like the obtained results in our research. Organic C According to our result the highest and the lowest C contents (%) were belonged to pine plantation and control, respectively. In general, different tree species play an important role in biogeochemical regulation of ecosystems through stabilization of SOC (Chen et al. 2003), a vital parameter in the formation and maintaining of soil structure, moisture and fertility (Macedo et al. 2008; Craswell and Lefroy 2001), that is found in this research as like. Also, Arai and Tokuchi (2010) in their research regarding the effect of coniferous species on the soil in terms of OM accumulation in Scotland reported that Cryptomeria japonica had higher OM content compared to natural forests, conforming to results obtained for some coniferous species in the viewpoint of greater storage of organic carbon and to some extent consistent with the results of this research. Accordingly, it is possible that Coniferous stands absorb more C compared to hardwood stands. This can be attributed to this fact that C changes in soil gradually and this change is depended on various

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factors such as vegetation cover, the amount of litter and plant debris, land use type and management (Chiti et al. 2006). In a study by Kooch et al. (2012) the carbon sequestration of soils under forest plantations with Acer, oak, and pine species were estimated. Their results showed that plantation can exert a significant effect on soil characteristics and, also, causes increase in C sequestration of soil so that it was more in the studied species compared with the control site. Moreover, Shi and Cui (2010) concluded that planted species have a positive effect on the soil C. Thus, despite the results of many studies that show the higher capability of hardwood stands for sequestering carbon in soil, the pine stand makes litter decomposition slow by reducing the amount of light entering into the stand due to its extensive canopy. As a result, high accumulation of litter on the ground and greater soil protection created by coniferous stands make prevent carbon from loss to some extent (Noubakht et al. 2011). Thus, this makes increase in soil C compared to other stands. However, given the same or equal conditions of most factors affecting the amount of carbon in investigated plantation stands other reasons for slight increase in soil carbon of pine stands could be the higher in soil moisture and waterlogging conditions in this plantation compared to other stands. Because mineralization of leaf in some tree species such as pine requires several years (Zarin-Kafsh 2001). This makes to create an insulating coating in the forest floor that prevents evaporation and moisture loss, which provides the conditions for soil macro fauna, including earthworms, which are highly water. More acidic soils will supply lower quantities of nutrients (Cresser and Killham 1993; Holden 2005). Skyllberg (1991) in a study assessed the pH variations in different layers of soils under two stands (Abies and Picea stands) in Sweden and concluded that probably pH and SOM are significantly correlated.

Table 1. Mean (standard error of mean) soil physico-chemical features in stands and depths Natural forest Sand (%) D1 (±SE) 21.34 (±2.43) D2 (±SE) 20.75 (±2.10)

Mixed plantation 24.75 (±3.25) 19.25 (±2.41)

Maple

Loblolly pine

27.09 (±2.59) 31.96 (±3.35) 30.09 (±5.75) 22.18 (±2.15)

Control 23.62 (±2.96) 25.90 (±2.71)

Statistic description

Stand: F=2.09,P=0.09 (Maple> Pine> Control> Mixed> Natural) Depth: F=1.13,P=0.29 Clay (%) Stand×Depth: F=1.49, P=0.21 D1 (±SE) 43.77 (±2.13) 52.65 (±3.22) 39.75 (±3.30) 39.5 (±1.99) 40.25 (±2.81) Stand: F=7.34, P=0.000 (Mixeda> D2 (±SE) 46.57 (±2.11) 54.48 (±3.33) 40.75 (±3.92) 42.0 (±3.11) 42.50 (±2.47) Naturalb> Controlb> Pineb> Mapleb) Depth: F=1.27,P=0.26 Silt (%) Stand×Depth: F=0.02, P=0.99 D1 (±SE) 35.25 (±2.64) 25.28 (±1.63) 28.25 (±3.12) 28.75 (±2.13) 36.25 (±1.97) Stand: F=5.23, P=0.001 (Naturala> D2 (±SE) 33.25 (±2.29) 26.85 (±1.52) 29.25 (±2.10) 36.00 (±1.92) 31.75 (±2.21) Controla> Pineab> Maplebc> Mixedc) Depth: F=0.22, P=0.63 pH Stand×Depth: F=2.01, P=0.10 D1 (±SE) 5.98 (±0.14) 6.32 (±0.09) 6.64 (±0.14) 6.28 (±0.06) 7.75 (±0.04) Stand: F=35.52, P=0.000 (Controla> D2 (±SE) 5.91 (±0.14) 6.01 (±0.25) 6.39 (±0.34) 6.50 (±0.07) 7.70 (±0.06) Mapleb> Pinebc> Mixedcd> Naturald) Depth: F=0.84, P=0.36 Stand×Depth: F=0.80 P=0.52 Note: N=16for natural forest,N=16 for mixed plantation,N=16 for maple,N=16 for pine plantaion,N=16 for control.N=8 for soil 0-15 cm, N=8 for soil 15-30 cm. Contrasting letters a, b, c refer to significant differences between different stands (natural forest, mixed plantation, maple, pine plantation, control) and or soil depths (D1=0-15cm, D2=15-30cm).


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C (%)

Total N (%)

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Soil depth (cm)

Stand

Soil depth (cm)

Stand

B

Available K (mg/kg)

Available P (mg/kg)

A

Soil depth (cm)

Stand

Soil depth (cm)

Stand

D

Available Ca (mg/kg)

Available Mg (mg/kg)

C

Soil depth (cm)

Stand

E

Soil depth (cm)

Stand

F

Figure 2. Average values of C (A), Total N (B), available P (C), K (D), Ca (E), and available Mg (F) in different stands and soil depths.


RAFEIE JAHED et al. – Effect of forest stands on soil fertility

In another study by Smal and Olszewsk (2008), it was concluded that when the OM content decreases, the acidity increases, so the higher C content and acidity in Pine plantation compared to mixed plantation could be attributed to this fact. Banfield et al. (2002) found an exponential relationship between soil texture and biomass C and then the stored soil organic C. Pussinen et al. (2002) in their studies on pine stands in southern Finland concluded that by increasing the soil N content the productivity thereby the amount of carbon stored in long term increases. Some researchers believe that clay content is correlated with the soil organic C (Bauer et al. 1987). Research conducted by Powers and Schlesinger (2002) showed that organic C density is correlated with the soil clay content. Varamesh et al. (2010) also reported clay and N as the most important components influencing the organic carbon stocks and carbon sequestration, and considering a positive correlation between sand content and C as well as a negative correlation between clay content and C it could be noted that the pine plantation had the highest sand content and the lowest clay content compared to other stands and this could be a reason for this claim. Among these studies, we can point out the research conducted by Abdi (2009); he believes that with increasing stone, gravel and sand components in soil texture the soil C sequestration also increases. In this investigation the organic C percentage was higher in the first depth than that the second depth, due to the accumulation of litter on the soil surface and the gradual decomposition process. Higher C content in the surface layers than in the deeper ones has been reported in other investigations including Schuman et al. (2002) that is a reason for this claim. Total N In this study, the highest amount of total N was observed in the first depth. It was expected that the available N in the first depth be higher, because litter accumulation as the most important sources of nutrients and SOM are higher in soil surface layers (Buresh and Tian, 1998, Rice 2000; Brady and Weil 2008). Given that the total N in the mixed plantation was significantly higher than other studied plantations and the control, the higher total N in mixed plantation in the present study could be due to several reasons including high diversity and being mixed at the over story due to differences in leaf and branch characteristics, litter quality and quantity, and processes occurring at the forest floor. Another reason could be the higher percentage of organic C in the soil of this stand, because the relationship between total carbon and total N is a positive correlation and it can be considered as a factor causing increased total N in mixed stand (Hagen-Thorn 2004). Because soil total N changes gradually and it depends on various factors such as vegetation cover, the amount of litter and plant debris, land use and management (Chiti et al. 2006). Of other affecting factors, the acidity can be mentioned so that pH influences the amount of nutrient uptake by plants, microbial activity and changes in the of N and C absorption (Augusto et al. 2002).

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Usually in more acidic soils the amount of macronutrients is reduced (Holder 2008) since the natural forest had the lower acidity and available N compared to mixed plantation with higher acidity and available N thus decreased total nitrogen in soil under natural forest could be attributed to lower acidity. Viability is positively correlated with increased OM, total C and total N and this relationship is particularly more apparent in soil surface layers decreasing with depth. These elements have a higher influence on viability because the OM serves as the main cause of soil structure formation and causes increased soil porosity and permeability (Quideau et al. 1996; Augusto et al. 2002). Also OM is nitrogen enriched and because of its high adsorption characteristics play an important role in increased capacity of exchangeable elements thereby soil fertility (Craswell and Lefroy 2001; Macedo et al. 2008). Soil C reserve is correlated with soil clay content, and it has been stated that soil texture effectively influence on the C and N reserves (Moghimian and Kooch 2013). Since the exchangeable cations and nutrients are readily become unavailable in sandy soils but they can be better preserved in clay soils, thus it can be stated that the mixed plantation showed the highest nitrogen content compared to other stands because of its highest clay content and its lowest sand content (Brady and Weil 2008; Gerrard 2014). Available P In this study no significant difference was observed for the P in soil surface layers, since this element is less prone to leaching and the P required by plants is provided from subsoil. .However, there may be differences in P content in deeper layers soil due to P present in minerals rocks. This means that the amount of P in subsurface rocks varies, and the amount of P reached to soil changes little over time. The absorption conditions and plant type are also effective. P deficiency in soils under coniferous species compared to hardwoods can be explained by the weaker biological activity of microorganisms in the soil surface organic layers in the soils under conifers (Hagen-Thorn 2004). In the present study no significant difference was found between investigated stands for phosphorus are at the P<0.05, consistent with the result with the result of other authors such as Sayyad et al. (2007) and Parrotta (1999). But reporting the highest available P in the maple plantation and the lowest value in pine plantation indicate that the P uptake is affected by vegetation type. Change in soil P is very slow taking a long time (Ardakani 2009). Also in many studies it has been noted that it is difficult to analyze the effect of different species on soil P levels are also (Augusto et al. 2002). The mobility of elements in soil is influenced by their solubility. Another reason for being the higher available P in maple plantation compared to pine stand may be lower acidity value the former one since there is a direct relationship between acidity and nutrient concentrations. Generally, when soil acidity increases the amount of macronutrients is reduced so that in pine plantation (a coniferous stand) the value of available P is lower due to lower. In several researches, increased available P has been reported in topsoil under plantations (Belton et al. 1995;


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Cavelier and Tobler 1998). Available P did not show significant difference at studied depths, but comparison of means indicated a higher available P in the second depth greater compared to the first depth. This is most likely due to recycling of plant residues on the soil surface (Kiani et al. 2007). It is noteworthy that most of available P in forest soils is present in the surface horizons (Zarin-Kafsh 2002) as it is clearly obvious in this study. Available K The results of present study showed that the amount of available K in pine plantation was higher than other plantations and the control area. One reason may be the lower need for K thereby the lower absorption in pine plantation causing increased K in soil under to pine plantation compared to other plantations and the control region. Other reasons can be found in the study by Richter and Markewitz (1994) that noted that one of the most important reasons for significant decrease in K value in soils under pine plantation is the dynamics and activity of this nutrient in its cycle. Other reasons for slight increase in soil K of pine stands could be the higher soil moisture and water logging conditions in this plantation compared to other stands. Also it may be reasonable the increased value of nutrients such as potassium in stands, as well as an increase in silt and clay content (Sanchez-Maranon et al. 2002). Soil K as well as phosphorus is an element that has a low mobility under the effect of water and it mostly is dependent on the type of parent materials, in other words the amount of rock and minerals containing K in parent materials and in long-term this nutrient is adsorbed by plants through processes such as physical and chemical erosions (Rouhi-Moghadam et al. 2011). In this study, higher concentrations of K in pine plantation compared to hardwood maple plantation may be due to the higher silt and clay content in the former, because soils with high clay content in are rich in nutrients (Berthrong et al. 2009). In this research the K in the first depth was higher than the second depth, because litter accumulation as the most important sources of nutrients and soil organic matter are higher in soil surface layers (Buresh and Tian 1998; Rice 2000; Salehi et al.2011), in fact the nutrients in the soil are directly linked to nutrients released by plants and nutrient cycling in the soil surface layers (Dijkstra et al. 2001; Dijkstra and Smits 2002). Available Ca Soil Ca is the essential element for plant growth and productivity that plays a major role in the strength of plant cells by producing Ca. Soil Ca is an element that is affected by planting tree species (Fernandez et al. 1999). The results of this study indicate that the Ca in soil under control region was higher than the other stands and the higher Ca concentration in control can be due to the lack or low absorption by tree vegetation, and the low Ca concentration in other stands is because of its absorption by trees. About difference between soil Ca in two studied stands, it could be noted that increasing the OM in forest stands is expected to make increase in CEC and presence of these cations; in addition, litter produced from canopy is also a factor that

can annually return large quantity of Ca into the soil (Dahlgren and Singer 1994). However, it seems that the presence of these cations, particularly the Ca controlled by lime, in soils causes significant increase in concentrations of these cations in soil under control region. One reason for the increased Ca in control region may be the negative relationship between canopy and lime, Ca and Mg concentrations showing that in one hand decreased canopy cover can decreases the entering litter, and in the other hand by decreasing the canopy cover its protective effect reduces as a result by increasing erosion and leaching in soil the solubility of lime increases thereby the concentrations of Ca and Mg increase. It seems that in calcareous soils, the presence of these cations, particularly calcium is controlled by lime cause significant increase in cations in the soil under control region (Salehi et al. 2011). As more acidic soils nutrient provide lower amount of nutrients, the high pH may be another reason for the higher concentration of this element in this stand. Also comparison of the means showed that Ca in the first had higher concentration than the second depth confirming the results of Rouhi-Moghadam et al. (2008) and Haghdoost et al. (2011). According to Finzi et al. (1998), the difference between Ca concentration in the soils under hardwoods and conifers is the higher accumulations of Ca in litter produced by hardwoods as well as the higher litter produced by these plants compared to conifers and in the present study the coniferous stand had the lower Ca concentration than hardwood planted stands. Augusto et al. (2002) stated that some tree species in Europe make reduced soil nutrients, such as Ca and Mg. Sayyad et al. (2007) also has reported lower calcium levels in plantations compared to control treatment that correspond the results of our study. Johnson et al. (1995) also has reported the higher calcium leaching in pine stands (Pinus taeda) than hardwood stands. According to Ritter et al. (2003) after plantation the acidification of surface soil starts which may cause a decrease in Ca concentration in the surface soils under planted coniferous stands. However, Alriksson and Eriksson (1998) reported that the highest concentration of Ca was found in the surface soil under 55-year-old plantations of spruce (Picea abies L) and they believe that transportation of cations from deeper layers of soil to surface layers may occur. Available Mg Most of forest soils in Iran are rich in Ca and Mg, and even concentrations of these nutrients are much more than plants need. There may be possible shortages of these two elements in soils with a pH less than 5.5 (Zarin-Kafsh 2001). Also, the results of this study indicated that the highest levels of available Mg were found in soils under natural forest stands. According to Hagen-Thorn (2004) conifer species compared to hardwood stands, due to higher tendency to absorb base cations namely Ca and Mg make reduced concentrations of these nutrients in the soil and in this study also Pine plantation showed the lower available Mg compared to most of hardwood stands. The higher concentration of magnesium in pine plantation compared to maple plantation may be due to higher sand


RAFEIE JAHED et al. – Effect of forest stands on soil fertility

content in maple stand, perhaps due to the proximity of the stand to the rivers and changes in groundwater table during different seasons resulted in lower concentrations of these elements to be stored. Coarse-textured soils are of low fertility in terms of nutrient requirements. Since soil texture plays an important role in determining many of the soil chemical properties namely maintaining and exchanging the soil exchangeable cations (Ashman and Puri 2002). And the silt and clay contents in soil under natural forest stand was ratio the highest value, therefore the soil of this stand is finetextured and has low permeability and good water holding capacity than light soils and is a nutrient-rich soil (ZarinKafsh 2001). Although the concentration of this element did not show significant differences in terms of depth, the comparison of means showed the highest concentration of the element in the second depth and the higher concentration of the element in subsoil may be due to the parent limestone underneath of the region and its low concentrations in the surface soil may be due to leaching in addition to absorption by the trees (Rouhi-Moghadam et al. 2011).

CONCLUSION The aim of this study was to investigate some of soil physical and chemical properties in different land cover and to compare the effect of each species on some of the soil fertility features in the same climatic and topographic conditions. The results show that in the case of all macronutrients, except for Ca, the studied stands were more successful than the control area indicating the positive impact of forestation on soil fertility indices. According to the results of the study among all stands in terms of K, and C percentage, the pine plantation and in the viewpoint of other nutrients the hardwood stands have been more successful, respectively. Overall, it could be concluded that hardwood stands have been more successful than the conifers stands, so this should be considered in the sustainable management of forests. However, reasons for these observed differences among species cannot be explained certainly and definitely. But the contribution of all factors must be examined. Since in this study the difference between the effects of composition of planted species on soil properties can be found in both soil layers.

REFERENCES Abdi N. 2009. Estimating carbon sequestration capacity by genus Astragalus in Markazi, Isfahan province. [Ph.D. Dissertation]. Islamic Azad University of Science and Research, Tehran. Alizadeh A. 2004. Soil, water and plant relationship, second edition, University of Imam Reza, Tehran. Allison LE. 1975. Organic carbon In: Black CA (ed.). Methods of Soil Analysis. American Society of Agronomy, Part 2, Madison, WI. Alriksson A, Eriksson HM. 1998. Variations in mineral nutrient and distribution in the soil and vegetation compartments of five temperate tree species in NE Sweden. For Ecol Manag 108: 261-273. Arai H, Tokuchi N. 2010. Soil organic carbon accumulation following afforestation in a Japanese coniferous plantation based on particle-

213

size fractionation and stable isotope analysis. Geoderma 159: 425430. Ardakani MR. 2009. Ecology. University of Tehran Press, Tehran. Ashman MR, Puri G. 2002. Essential Soil Science. Blackwell, Oxford. Augusto L, Ranger J, Binkley D, Rothe A. 2002. Impact of several common tree species of European temperate forests on soil fertility. Ann For Sci 59: 233-253. Bakhshipour R, Ramezanpour H, Lashkarboluki E. 2012. Studying the effect of Pinus taeda and Populus sp. plantation on some forest soils properties, a case study: Fidareh of Lahidjan. Iranian J For 4: 321332. Banfield GE, Bhatti JS, Jiang H, Apps MJ, Karjalainen T. 2002. Variability in regional scale estimates of carbon stocks in boreal forest ecosystems: results from West-Central Alberta. For Ecol Manag 169: 15-27. Bauer A, Cole CV, Black AL. 1987. Soil property comparisons in virgin grasslands between grazed and no grazed management systems. Soil Sci Soc Amer J 51: 176-182. Belton MC, O’Connor KF, Robson AB. 1995. Phosphorus levels in topsoil under conifer plantations in Canterbury high country grasslands, New Zealand. J For Sci 25: 265-282. Berthrong ST, Jobbagy EG, Jackson RB. 2009. A global meta-analysis of soil exchangeable cations, pH, carbon, and nitrogen with afforestation. Ecol Appl 19: 2228-2241. Binkley D, Giardina C. 1998. Way do tree species affect soil? The warp and woof of tree-soil interactions. Biogeochemistry 42: 89-106. Bouyoucos G. J. 1962. Hydrometer method improved for making particle size analysis of soils. Agron J 56: 464-465. Bower CA, Reitemeier RF, Fireman M. 1952. Exchangeable cation analysis of saline and alkali soils. Soil Sci 73: 251-261. Brady NC, Weil RR. 2008. The nature and properties of soils. 13th ed. Prentice Hall, New Jersey. Bremner JM, Mulvaney CS. 1982. Nitrogen-total. In: Page AL, Miller RH, Keeney RR (eds.). Methods of Soil Analysis, Part 2. Chemical and microbiological properties. American Society of Agronomy, Madison, WI. Buresh RL, Tian G. 1998. Soil improvement by tree in sub-Saharan Africa. Agro For Syst 38: 51-76. Cavelier J, Tobler A. 1998. The effect of abandoned plantations of Pinus patula and Cupresses lusitanica on soils and regeneration of a tropical montane rain forest in Colombia. Biodiv Conserv 7: 335-347. Chen X, Li BL, Lin ZS. 2003. The acceleration of succession for the restoration of the mixed-broadleaved Korean pine forests in Northeast China. For Ecol Manag 186: 197-206. Chiti T, Cerini A, Puglisi A, Sanesi A, Capperucci C. 2006 . Effect of associating an N-fixer species to monotypic Oak plantations on the quantity and quality of organic matter in mine soils. Geoderma 61: 35-43 Craswell ET, Lefroy RDB. 2001. The role and function of organic matter in tropical soils. Nutr Cycl Agroecosyst 61: 7-18. Cresser M, Killham KT. 1993. Soil chemistry and its applications. (No. 5). Cambridge University Press, Cambridge. Dahlgren RA, Singer MJ. 1994. Nutrient cycling in managed and nonmanaged oak woodland-grass ecosystems. Final Report: Integrated Hardwood Range Management Program, Land, Air and Water Resources. Paper-100028. University of California, Davis, CA. Del Lungo A, Ball J, Carle J. 2006. Global planted forests thematic study: results and analysis, no. 38, Food and Agriculture Organization of the United Nations, Rome. Dijkstra FA, Geibe C, Holmstro MS , Lundstrom US, Van Breeman N . 2001. The effect of organic acids on base cation leaching from the forest floor under six North American tree species. European J Soil Sci 52: 1-10. Dijkstra FA, Smits MM. 2002. Tree species effects on calcium cycling: the role of calcium uptake in deep soils. Ecosystems 5 (4): 385-398. Fernandez R, Montagnini F, Hamilton H. 1999.The influence of five native tree species on soil chemistry in Subtropical Humid Forest Region of Argentina. J Trop For Sci 10 (2): 188-196. Finzi AD, Canham CD, Breemen NV. 1998. Canopy tree-soil interaction within temperate forests: species effects on pH and cations. Ecol Appl 8 (2): 447-454. Gerrard J. 2014. Fundamentals of soils. Routledge, London. Hagen-Thorn A. 2004. The impact of six European tree species on the chemistry of mineral topsoil in forest plantation on former agricultural land. For Ecol Manag 195: 373-384.


214

B I O D I V E R S IT A S

15 (2): 206-214, October 2014

Haghdoost N, Akbarinia M, Hosseini SM, Kooch Y. 2011.Conversion of Hyrcanian degraded forests to plantations: Effects on soil C and N stocks. Ann Biol Res 2: 385-399. Holden J. 2005. An Introduction to Physical Geography and the Environment. Pearson Education, Harlow. Homer CD, Pratt PF. 1961. Methods of Analysis for Soils, Plants and Waters. University of California, Agricultural Sciences Publications, Berkeley CA. Johnson DW, Binkley D, Conklin P. 1995. Simulated effects of atmospheric deposition, harvesting and species change on nutrient cycling in a loblolly pine forest. For Ecol Manag 76: 29-45. Kiani F, Jalalian A, Pashayee A, Khademi H. 2007. The role of forest utilization, conservation and degradation of rangelands on soil quality indicators in Loss lands of Golestan province. Iranian J Agric Nat Resour Sci 41: 453-463. Kooch Y, Hosseini SM, Zaccone C, Jalilvand H, Hojjati SM. 2012. Soil organic carbon sequestration as affected by afforestation: the Darabkola forest (north of Iran) case study. J Environ Monit 14 (9): 2446-2448. Lal R. 2005. Forest soils and carbon sequestration. For Ecol Manag 220: 242-258. Lovett GM, Weathers KC, Arthur MA. 2002. Control of nitrogen loss from forested watersheds by soil carbon: nitrogen ratio and tree species composition. Ecosystems 5: 712-718. Macedo MO, Resende AS, Garcia PC, Boddey RM, Jantalia CP, Urquiaga S, Campello EFC, Franco AA. 2008. Changes in soil C and N stocks and nutrient dynamics 13 years after recovery of degraded land using leguminous nitrogen-fixing trees. For Ecol Manag 255: 1516-1524. Moghimian N, Kooch Y. 2013. The effect of some physiographic factors and soil physico-chemical features of hornbeam forest ecosystem on earthworm's biomass. J Wood For Sci Technol 20 (2): 703-711. Mohr D, Simon M, Topp W. 2005. Stand composition affects soil quality in oak stands on reclaimed and natural sites. Geoderma 129: 45-53. Neirynck J, Mirtcheva S, Sioen G, Lust N. (2000). Impact of Tilia platyphyllos Scop. Fraxinus excelsior L., Acer pseudoplatanus L., Quercus robur L. and Fagus sylvatica L. on earthworm biomass and physico-chemical properties of loamy topsoil. For Ecol Manag 133 (3): 275-286. Nobakht A, Pourmajidian M, Hojjati M, Fallah A. 2011. A comparison of soil carbon sequestration in hardwood and softwood monocultures. Iranian J For 3 (1): 13-23. Onyekwelu JC, Mosandl R, Stimm B. 2006. Productivity, site evaluation and state of nutrition of Gmelina arborea plantations in Oluwa and Omo forest reserves, Nigeria. For Ecol Manag 229: 214-227. Parrotta JA. 1999. Productivity, nutrient cycling, and succession in single and mixed species plantations of Casuarina equisetifolia L., Eucalyptus robusta Sm., and Leucaena leucocephala in Puerto Rico. For Ecol Manag 124: 45-77. Powers JS, Schlesinger WH. 2002. Relationships among soil carbon distributions and biophysical factors at nested spatial scales in rain forests of northeastern Costa Rica. Geoderma 109: 165-190. Pussinen A, Karjalainen T, Mäkipää R, Valsta L, Kellomäki S. 2002. Forest carbon sequestration and harvest, in scots pine stand under different climate and nitrogen deposition scenarios. For Ecol Manag 158 (1-3): 103-115. Quideau SA, Chadwick OA, Graham RC, Wood HB. 1996. Base cation biogeochemistry and weathering under oak and pine: a controlled long-term experiment. Biogeochemistry J 35: 377-398 Rahajoe JS. 2003. The Role of Litter Production and Decomposition of Dominant Tree Species on the Nutrient Cycle in Natural Forest with

Various Substrate Conditions. [Ph.D. Dissertation]. Hokkaido University, Japan. Rice CW. 2000. Soil organic C and N in Rangeland soil under Elevation CO2 and land management, Advances in Raleigh. North Carolina. October 3-5: 15-24. Richter DD, Markewitz D. 1994. Soil chemical change during three decades in an old-field loblolly pine (Pinus taeda L.) ecosystem. Ecology 75 (5): 1463-1473. Ritter E, Vesterdal L, Gundersen P. 2003. Change in soil properties after afforestation of former intensively managed soils with oak and Norway spruce. Pl Soil 249: 319-330. Rouhi-Moghadam E, Hosseini SM, Ebrahimi E, Tabari M, Rahmani A. 2011. Investigation of some soil properties in pure and mixed plantations of oak (Quercus castanifolia). Iranian J Soil Res 1 (25): 39-48. Rouhi-Moghadam E, Hosseini SM, Ebrahimi E, Tabari M, Rahmani A. 2008. Comparison of growth, nutrition and soil properties of pure stands of Quercus castaneifolia and mixed with Zelkova carpinifolia in the Hyrcanian forests of Iran. For Ecol Manag 255 (3): 1149-1160. Salehi A, Mohammadi A, Safari A. 2011. Investigation and comparison of physical and chemical soil properties and quantitative characteristics of trees in less-damaged and damaged area of Zagros forests (Case study: Poldokhtar, Lorestan province). Iranian J For 3 (1): 81-89. Sanchez-Maranon M, Soriano M, Delgado G, Delgado R. 2002. Soil quality in Mediterranean mountain environment: effect of land use change. Soil Sci Soc Amer J 66: 948-958. Sayyad E, Hosseini SM, Akbarinia M, Gholami Sh. 2007. Comparison of soil properties in pure plantations of Populus euroamericana (Dode) Guinier and mixed with Alnus subcordata C.A. Mey. Iranian J Environ Stud 33 (41): 77-85. Schulp CJE, Naburus GJ, Verburg PH, Waal RW. 2008. Effect of tree species on carbon stock in forest floor and mineral soil and implication for soil carbon inventories. For Ecol Manag 256: 482490. Schuman GE, Janzen H, Herrick JE. 2002. Soil carbon information and potential carbon sequestration by rangelands. Environ Poll 116: 391396. Shi J, Cui LL. 2010. Soil carbon change and its affecting factors following afforestation in china. Landsc Urb Plan 98 (1): 75-85. Skyllberg U. 1991. Seasonal variation of pH H2O and pH CaCl2 in centimeter‐layers of mor humus in a Picea abies (L.) Karst. stand. Scandinavian J For Res 6 (1-4): 3-18. Smal H, Olszewsk M. 2008. The effect of afforestation with Scots pine (Pinus silvestris L.) of sandy post-arable soils on their selected properties. II. Reaction, carbon, nitrogen and phosphorus. Pl Soil 305: 171-187. Varamesh S, Hosseini SM, Abdi N, Akbarinia M. 2010.Increment of soil carbon sequestration due to forestation and its relation with some physical and chemical factors of soil. Iranian J For 2 (1): 25-35. Yousefi A, Jalilvand H, Pourmajidian M, Espahbodi K. 2010. Under-story indigenous woody species diversity in hardwood and coniferous tree plantations at Berenjestanak lowland forest in the North of Iran. Intl J Biodiv Conserv 2 (10): 273-283. Zarin-Kafsh M. 2001. Forest Soil Sscience, the Iinteractions of Soil and Plant in Relation to Eenvironmental Factors of forest Eecosystems. Ministry of Agriculture Jihad, Iran. Zarin-Kafsh M. 2002. Forestry Soil, Interaction of Soil and Plants Regarding Ecological Factors Forests Ecosystems. Forests and Rangelands Research Institute Press, Tehran, Iran.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 215-223

ISSN: 1412-033X E-ISSN: 2085-4722

DOI: 10.13057/biodiv/d150214

Vegetation analysis of Samin watershed, Central Java as water and soil conservation efforts MARIDI1,♼, PUTRI AGUSTINA2, ALANINDRA SAPUTRA3 1

Biology Education Program, Faculty of Teacher and Training Education, Sebelas Maret University. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Tel: +62-85747593465, Fax: +62-71648939, ♼email:maridi_uns@yahoo.co.id 2 Biology Education Program, Faculty of Teacher and Training Education, Muhammadiyah University of Surakarta, Sukoharjo 57162, Central Java, Indonesia. 3 Postgraduate Program, Faculty of Biology, Gadjah Mada University, Sleman 55281, Yogyakarta, Indonesia. Manuscript received: 27 June 2014. Revision accepted: 3 September 2014.

ABSTRACT Maridi, Agustina P, Saputra A. 2014. Vegetation analysis of Samin watershed, Central Java as water and soil conservation efforts. Biodiversitas 15: 215-223. Samin watershed in Central Java is one of 282 Indonesian watersheds which are in critical condition. Nowadays, the sustainability of forest resources in the upstream of Samin watershed is threatened by exploitation of forest by people. As a result, erosion and sedimentation are occurring in this area that may pose a threat of flooding and landslide. Therefore, we need serious measures to maintain the function of Samin watershed, one of which is through the monitoring of vegetation in watershed. The purpose of this research was to analyze the structure and composition of vegetation in Samin watershed to support soil and water conservation. The survey of vegetation was conducted in 3 areas of Samin watershed based on geophysical conditions namely upstream, midstream, and downstream. At each sampling area, 37 sampling plots were randomly distributed in six observation stations. Vegetation analysis was carried out in both the lower crop community (LCC) and the tree. Results showed that the number of LCC species found in the upstream, midstream, and downstream areas were 21, 34, and 28 respectively. The species diversity indexes of LCC vegetation in the upstream, midstream, and downstream areas were 1.04, 1.34, and 1.23 respectively. Based on this result, LCC vegetation in Samin watershed was categorized in medium condition. The number of tree species found in the upstream, midstream, and downstream areas were 27, 18, and 12 respectively. The species diversity indexes of tree vegetation in the upstream, midstream, and downstream areas were 1.31, 1.15, and 0.97 respectively. Based on this result, the tree vegetation in Samin watershed was categorized in medium condition for the upstream and midstream areas, and low condition for the downstream area. Vegetation in Samin watershed must be preserved in order to maintain the sustainability of Samin watershed. Key words: Conservation, samin, soil, vegetation, water.

INTRODUCTION Water is a key to life on earth. According to Eamus (2010) from sub-cellular processes (photosynthesis, enzymatic reactions) to continental-scale processes such as erosion and sedimentation, water is central to ecosystem structure and function. Postel and Thompson (2005) say that a watershed is an area of land that drains into a common water source. Watersheds connect and encompass terrestrial, freshwater, and coastal ecosystems, and they perform a wide variety of valuable services, including the supply and purification of fresh water, the provision of habitat that safeguards fisheries and biological diversity, etc. Samin watershed is one of watersheds located in the Districts of Karanganyar and Sukoharjo, Central Java, Indonesia. Samin is part of Bengawan Solo watershed (BPDAS 2009). The area of Samin watershed is approximately 20412 ha with 5881 m3/second for water discharge. It provides the main source of surface water for agricultural irrigation and clean water supply for surrounding communities. Research conducted by Riyanto

and Paimin (2011) showed that Samin watershed is one of 282 watersheds which are in critical condition. This can be inferred from the extent of degraded land in Samin watershed, mainly located in upstream area in Karanganyar District. Nowadays, the sustainability of forest resources mainly in the upstream area is threatened by exploitation of forest by people. The notion that forest only provides timber and other physical products causes the unsustainable forest exploitation. Nugraha et al. (2006) stated that regional regulation relating to the exploitation of natural resources in Samin watershed was not enforced well. As a result, there is erosion and sedimentation in Samin that may ultimately pose a threat of floods and landslides. Furthermore, Nugraha et al. (2006) stated that erosion in Samin watershed was great, namely 11483.533 ton/year. The classification of erosion danger levels are: very light (5.409 ha/70.13%), light (3935.364 ha/12.51%), moderate (2187.831 ha/6.76%), severe (2187.831 ha/6.76%), and very severe (1800.882 ha/5.56%). The classification of landslide danger levels are: light (6937.006 ha/21.42%), moderate (21664.015 ha/1%), severe (3081.926 ha/9.52%), and very severe (695.840 ha/2.15%). In addition, Nugraha


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et al. (2006) also stated that the quality of river water in Samin had exceeded the quality standard in Government Regulation No. 82 the year 2001 about the use of water class I, II, III, and IV, for nitrite and BOD levels. Based on this fact, it will require serious measures by local community in Samin watershed, local government, or environmental experts to preserve the function of Samin watershed. The function of watershed is complex and affected by several factors, namely vegetation, topography, soil, and residential (Triwanto 2012). Furthermore, Triwanto (2012) states changes in one factor will affect watershed ecosystem and can reduce the watershed function. Ecosystem goods and services provided by healthy watersheds, according to Postel and Thompson (2005), are water supplies for agricultural, industrial, and urban-domestic uses, water filtration, flow regulation, flood control, erosion and sedimentation control, fisheries, timber and other forest products, recreation/tourism, habitat for biodiversity preservation, climate stabilization, and others. One effort to maintain the function of Samin watershed is water and soil conservation. Water and soil conservation in Samin watershed can be done by monitoring the condition of vegetation in Samin watershed. Vegetation is a whole plants that live together in such area which interact to each other and to their environment (Mueller-Dumbois and Ellenberg 1974; Susanto 2012). Parejiya et al. (2013) say that vegetation of a region is a function of several factors such as time, altitude, slope, latitude, aspect, rainfall. Variation in species diversity along environmental gradient is a major topic of ecological investigation and has been explained by reference to climate, productivity, biotic interaction, habitat heterogeneity, and history. Vegetation, according to Marsono (2008), has an important role because it serves as hydrological regulation, flood control, and drought mitigation. Wang et al. (2013) state that forest plays an important role in controlling runoff overland flow through its effect on hydrological processes such as precipitation, interception, and evapotranspiration, affects soil properties, and modify the amount of rain water that will go into the soil through infiltration. In addition, Zheng et al. (2007) add that vegetation canopy can intercept droplets of rain that falls on it, hold it over the canopy and then release it on the ground or let it flow through the stem, thereby reducing its kinetic energy when it falls on the ground. Vegetation cover is a crucial factor in influencing erosion (Yan et al. 2011). Increased vegetation cover may increase the accumulation of litter on the soil surface to control soil erosion occurrence of a maximum of 75%. Vegetation root systems can significantly improve the stability of the soil and act as anti-erosion agent (Zheng et al. 2007). The role of vegetation for water and soil conservation is largely determined by the structure and composition. Vegetation structure, according Arrijani (2006), is an organization in the space where the individuals form a stand or extension of stands type forming an association as a whole. The structure and composition of vegetation in an area are affected by ecosystem components that interact with each other, so the vegetation that grows naturally in

the region is the result of the interaction among environmental factors and may change due to anthropogenic influences. Monitoring the structure and composition of vegetation in Samin watershed can be done by vegetation analysis. Analysis of vegetation, according to Susanto (2012) and Ardhana (2012), is a way of studying the composition and structure of vegetation types. Whittaker (1976) also mentions that the vegetation analysis is an approach and an introduction to a community using ecological approaches that encompass physical, chemical and biological factors affecting community attributes such as species density, distribution, as well as the diversity of its constituent species. The objective of this research was to analyze the structure and composition of vegetation in Samin watershed Karanganyar District, Central Java to support water and soil conservation. The results of this research are expected to be a material consideration in determining soil and water conservation to maintain the condition of Samin watershed and encourage local community to behave conservatively.

MATERIALS AND METHODS Study sites This research was conducted from March to April 2014 in Samin watershed, Karanganyar, Central Java, Indonesia. Samin watershed geographically extends from east to west. Its upstream area is on the slopes of Mount Lawu and downstream area is in Sukoharjo rice fields, covering a total area of 37302.5 ha. Administratively, Samin watershed is located in two districts namely Karanganyar and Sukoharjo, Central Java Province, Indonesia. The length of this watershed, according Riyanto and Paimin (2011), reaches 39.5 km and an average width 7 km. Samin watershed in the Karanganyar District includes five subdistricts, namely: Tawangmangu, Matesih, Jumantono, Jumapolo, and Jatiyoso. While that in Sukoharjo District includes three sub-districts, namely Bendosari, Mojolaban and Polokarto. Procedure Pre research (survey) The field survey was conducted to determine the condition of the study site, soil characteristics, slope, and other information relating to the condition of the Samin watershed. Several kinds of maps reviewed for this study were topographic maps, land use maps, administrative maps, Samin Watershed map. Those maps were used to determine the location of the study area and the determination of the sampling unit. Determination of sampling units Based on a total area of 37 ha watershed Samin, a total of 37 points were sampled randomly from 6 observation stations located according to the biophysical characteristics of the Samin watershed area, namely upstream (2 stations), middle (2 stations), and downstream (2 stations).


MARIDI et al. – Vegetation analysis of Samin watershed

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Figure 1. Map of Samin watershed, Central Java, Indonesia (Riyanto and Paimin 2011).

Vegetation sampling Vegetation analysis was conducted to know the type and composition of the vegetation in Samin watershed. We calculated the importance value index (IVI) which consists of several parameters, namely density, dominance and basal area, frequency, and canopy area. We also determined the diversity index to know the general condition of community. The steps carried out at this stage were as follows: (i) The sampling sites were selected in accordance with the result of first step. (ii) At each sampling point, vegetation analysis was conducted both for tree and LCC vegetation. Vegetation analysis was conducted using Point Center Quarter (PCQ) method, namely dividing the points into four quadrants with two

imaginary lines perpendicular to each other, one of which was directed using a compass (Widoretno 2011; Mitchell 2007). At each sampling quadrant, measurement was done to the tree nearest to the point to determine its distance from the point, the trunk circumference (to determine the basal area), canopy area, and the height of the tree. Vegetation sampling for LCC community was done in each quadrant by making plots measuring 1x1 m2 to record the species, the number, and coverage of each species (Widoretno 2011). (iii) The results of enumeration and measurement were recorded on the observation table and the species of trees and LCC were identified.


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Data analyses Data were analyzed quantitatively to determine the vegetation parameters and qualitatively to describe the relationship between the result of vegetation analysis and vegetation’s ability to sustain Samin watershed. Method of data analyses were done following Whittaker (1975), Widoretno (2011) and Mitchell (2007) as follows. Density Trees vegetation

AFi = Relative frequency (RFi) AFi =

x 100%

Dominance and wide of Basal Area Tree vegetation

Mean distance = D

Basal area (BA) = ¼ πD2 /

D=

Main BA of X species =

Density per 100 m2

Relative basal area (RBA)

Density per 100 m2 =

X correction factor

RBA =

X 100%

Absolute density of each type (ADs) Lower Crop Community (LCC) ∑ in the quarter = Absolute dominance of I species (i) ADs = ∑ in quarter x D ADmi = Relative density (RDs) RDs =

X 100%

Relative dominance (RDi) RDmi =

Lower Crop Community (LCC) Tree vegetation canopy area Canopy area = distance of West-East (BT) x Distance of North-South (US) x π

Absolute density (ADsi) ADsi =

Relative canopy area (R Canopy A) Relative density (RDsi) R Canopy A = RDs =

X 100%

x 100% Tree vegetation

Frequency Tree vegetation

Importance value index (IVI)

Absolute frequency (AF) AF =

Lower Crop Community (LCC)

Relative frequency (RF) RF =

IVI = RDs +RF + RBA + R Canopy A

X 100%

Lower Crop Community (LCC) Absolute frequency (AFi)

IVI = RDs + RF + RDm Diversity Index Species diversity and stability of community was analyzed using Shannon-Weiner index (Barbour 1987) as follows:


MARIDI et al. – Vegetation analysis of Samin watershed

Where: H’ = Shannon-Weiner diversity index ni = Number of individuals of i species N = Total number of individuals of all species Interpretation was based on Fachrul (2007) which defines: (i) the value of H '> 3 indicates a high diversity; (ii) the value of H ', 1 ≤ H' ≤ 3 shows medium diversity; and (iii) the value of H '<1 indicates low diversity.

RESULTS AND DISCUSSION Composition of vegetation in Samin watershed Upstream area In the upstream area, there were 21 species of LCC belonging to 10 families with 2640 number of individuals. The Importance Value Indexes (IVI) for LCC species in the upstream area are shown in Table 1. The species with the greatest IVI were Mimosa pudica (56.24), Ageratum conyzoides (45.34), and Tridax procumbens (37.23) while the species with the lowest IVI was Curcuma zedoaria (0.60). In the upstream area, there were 27 tree species belonging to 16 families. The IVI of tree species in the upstream area are presented in Table 2. The tree species with the greatest IVI were Tectona grandis (78.57), Delonix regia (59.74), and Swietenia mahagoni (38.16) while the species with the lowest IVI was Persea americana (4.88). Tree species in the upstream area had canopy area ranging from 31 to 430 m2 while the height of trees ranged from 5.50 to 15.50 m. Midstream area In the midstream area there were 34 species of LCC belonging to 14 families with 2827 number of individuals. The Importance Value Indexes (IVI) for LCC species in the midstream area are shown in Table 3. The species with the greatest IVI were Oplismenus burmanii (39.01), Axonopus compressus (19.73), and Chloris barbata (18.49) while the species with the lowest IVI was Cyperus globusus (1.84). In the midstream area there were 18 tree species belonging to 9 families. The IVI tree species in the midstream area are presented in Table 4. The tree species with the greatest IVI were Tectona grandis (71.61), Swietenia mahagoni (43.54), and Cassia siamea/cassia (36.72). Tree species in the midstream area had canopy area ranging from 102 to 470 m2, while the height of trees ranged from 3.38 to 11.25 m. Downstream area In the downstream area there were 28 species of LCC belonging to 14 families with 3302 number of individuals. The Importance Value Indexes (IVI) for LCC species in the downstream area are shown in Table 5. The species with the greatest IVI were Oplismenus burmanii (34.49), Ageratum conyzoides (26.53), and Chloris barbata (18.10) while the species with the lowest IVI was Phyllanthus reticulatus (1.01).

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Table 1. LCC species found in upstream area of Samin watershed Name of species

RDs

RDm RF

IVI

Rank

Ageratum conyzoides Axonopus compressus Chloris barbata Colocasia esculenta Curcuma zedoaria Cynodon dactylon Digitaria sanguinalis Elephantopus scaber Euphorbia hirta Fimbristylis schoenoides Galinsoga parviflora Hyptis brevipes Lantana camara Mimosa invisa Mimosa pudica Pennisetum purpureum Phyllanthus urinaria Sida rhombifolia Sonchus arvensis Tridax procumbens Wedelia montana Total

13.90 4.24 1.74 0.23 0.08 1.93 6.17 1.74 3.67 1.63 6.63 1.93 0.30 1.97 24.51 9.39 2.27 0.23 0.30 15.61 1.52 100

17.09 3.85 3.19 1.46 0.14 2.31 5.70 2.34 7.02 2.39 4.40 2.31 0.69 3.41 23.20 2.89 3.28 0.69 0.69 9.22 3.72 100

45.34 12.36 7.65 3.62 0.60 7.73 20.40 6.80 19.22 5.96 17.23 7.73 1.77 9.65 56.24 16.16 8.65 2.85 1.77 37.23 11.05 300

2 8 14 17 21 12 4 15 5 16 6 13 19 10 1 7 11 18 20 3 9

14.34 4.26 2.71 1.94 0.39 3.49 8.53 2.71 8.53 1.94 6.20 3.49 0.78 4.26 8.53 3.88 3.10 1.94 0.78 12.40 5.81 100

Table 2. Tree species found in upstream area of Samin watershed Relative Relative Relative Relative IVI basal canopy Freq. Density area area Albizia falcata 0.98 0.56 2.17 2.08 5.80 Altingia excelsa 1.60 1.94 4.35 4.17 12.06 Anacardium occidentale 2.24 2.36 2.17 2.08 8.85 Artocarpus integra 1.83 1.85 2.17 2.08 7.93 Cassia siamea 7.13 6.15 4.35 4.17 21.79 Casuarina equisetifolia 0.38 0.56 2.17 2.08 5.19 Ceiba pentandra 0.91 1.02 2.17 2.08 6.19 Cocos nucifera 0.66 0.68 2.17 2.08 5.60 Cordyline fruticosa 0.47 0.68 2.17 2.08 5.41 Dalbergia latifolia 7.06 6.82 6.52 6.25 26.65 Delonix regia 15.57 18.63 13.04 12.50 59.74 Dimocarpus longan 1.83 1.40 2.17 2.08 7.48 Durio zibethinus 1.50 1.40 2.17 2.08 7.15 Guazuma ulmifolia 4.17 3.71 4.35 4.17 16.39 Hibiscus tiliaceus 1.87 1.45 2.17 2.08 7.58 Leucaena glauca 0.66 1.01 2.17 2.08 5.92 Melia azedarach 1.97 1.86 2.17 2.08 8.09 Muntingia calabura 1.59 1.45 2.17 2.08 7.30 Musa paradisiaca 0.66 0.70 2.17 2.08 5.61 Parkia speciosa 2.46 1.89 2.17 2.08 8.60 Persea americana 0.29 0.33 2.17 2.08 4.88 Pinus merkusii 2.06 0.63 4.35 4.17 11.20 Pometia pinnata 1.97 1.40 2.17 2.08 7.63 Samanea saman 4.29 4.28 2.17 2.08 12.83 Swietenia mahagoni 8.42 8.45 10.87 10.42 38.16 Syzygium aromaticum 1.68 1.45 2.17 2.08 7.39 Tectona grandis 25.76 27.35 10.87 14.58 78.57 Total 100 100 100 100 400 Name of species


B I O D I V E R S IT A S 15 (2): 215-223, October 2014

220

Table 3. LCC species found in upstream area of Samin watershed

Table 5. LCC species found in downstream area of Samin watershed

Name of species

Name of species

Acalypha indica Ageratum conyzoides Amaranthus spinosus Axonopus compressus Borreria ocymoides Canna indica Chloris barbata Clitoria ternatea Cyperus globusus Digitaria sanguinalis Euphorbia hirta Fimbristylis globulosa Fimbristylis schoenoides Flemingia lineata Galinsoga parviflora Imperata cylindrica Indigofera suffruticosa Ipomoea batatas Ipomoea crania Kyllinga monocephala Mimosa pudica Ocimum gratissimum Oplismenus burmanii Panicum barbatum Passiflora foetida Pennisetum purpureum Phyllanthus urinaria Portulaca oleracea Ruellia tuberosa Sida rhombifolia Stachytarpheta indica Stachytarpheta jamaicensis Wedelia biflora Wedelia montana Total

RDs

RDm RF

2.02 2.77 5.59 3.82 1.06 2.33 11.14 5.46 2.65 1.98 0.53 0.71 7.61 5.16 0.88 1.15 0.35 0.71 3.15 4.35 1.24 1.07 4.07 2.83 3.15 3.54 4.42 3.23 1.59 1.76 2.65 5.16 1.59 2.33 0.42 2.73 1.06 2.53 3.47 2.41 4.42 3.54 0.81 1.70 16.09 17.19 4.07 3.84 0.71 1.52 5.31 2.93 1.59 1.21 0.71 1.31 0.64 0.91 1.24 1.80 1.98 2.33 1.59 1.70 0.42 1.70 1.77 2.33 100 100

3.91 8.33 1.56 3.13 2.08 0.78 5.73 1.30 0.78 5.21 1.30 3.13 4.43 4.17 3.91 4.69 2.34 2.08 2.34 1.82 4.69 2.08 5.73 4.69 1.30 4.17 3.13 2.08 0.78 1.30 1.56 2.34 1.04 2.08 100

IVI

Rank

8.69 17.74 4.95 19.73 6.72 2.02 18.49 3.34 1.84 12.70 3.61 10.02 11.11 11.82 7.26 12.50 6.26 5.24 5.93 7.70 12.65 4.60 39.01 12.60 3.53 12.40 5.93 4.10 2.33 4.34 5.87 5.63 3.16 6.18 300

13 4 24 2 16 33 3 30 34 5 28 12 11 10 15 8 17 23 19 14 6 25 1 7 29 9 20 27 32 26 21 22 31 18

Relative Relative Relative Relative basal canopy Freq. Density area area Albizia falcata 6.13 7.29 7.89 8.51 Artocarpus altilis 0.86 1.40 2.63 2.13 Cassia siamea 9.71 10.61 7.89 8.51 Crotalaria striata 0.80 1.42 2.63 2.13 Dalbergia latifolia 9.20 9.95 7.89 8.51 Delonix regia 10.04 7.90 7.89 8.51 Hibiscus tiliaceus 0.68 0.95 2.63 2.13 Melia azedarach 5.99 7.01 5.26 4.26 Morinda citrifolia 0.59 0.78 2.63 2.13 Muntingia calabura 2.77 1.96 5.26 4.26 Pithecellobium dulce 6.62 6.94 7.89 8.51 Polyalthia longifolia 2.68 2.46 2.63 2.13 Samanea saman 9.33 6.16 5.26 4.26 Swietenia mahagoni 12.41 12.60 7.89 10.64 Tamarindus indica 1.14 1.07 2.63 2.13 Tectona grandis 19.51 19.29 15.79 17.02 Terminalia catappa 0.64 0.77 2.63 2.13 Thevetia peruviana 0.91 1.45 2.63 2.13 Total 100 100 100 100

IVI

Rank

IVI 29.82 7.02 36.72 6.98 35.56 34.35 6.39 22.51 6.13 14.24 29.96 9.90 25.01 43.54 6.97 71.61 6.16 7.12 400

2 21 24 22 3 23 18 12 8 11 7 15 17 13 9 1 26 27 10 16 6 4 28 20 5 14 19 25

Table 6. Tree species found in downstream area of Samin watershed Relative Relative Relative Relative basal canopy Freq. Density area area Albizia falcata 14.25 15.02 14.29 14.58 Artocarpus altilis 1.36 0.70 2.86 2.08 Artocarpus integra 2.36 3.17 5.71 4.17 Cassia siamea 15.59 16.13 14.29 14.58 Ficus ampelas 1.77 1.58 2.86 2.08 Hibiscus tiliaceus 8.49 10.49 8.57 10.42 Leucaena glauca 6.95 8.32 8.57 10.42 Morinda citrifolia 0.70 0.90 2.86 2.08 Muntingia calabura 1.61 2.18 2.86 2.08 Samanea saman 23.80 22.40 14.29 16.67 Swietenia mahagoni 16.67 13.75 17.14 14.58 Tectona grandis 6.45 5.36 5.71 6.25 Total 100 100 100 100 Name of species

Table 4. Tree species found in midstream area of Samin watershed

Name of species

RDs RDm RF

Ageratum conyzoides 8.48 12.37 5.68 26.53 Amaranthus spinosus 1.42 1.82 1.89 5.13 Amorphophallus titanum 0.24 1.59 1.14 2.97 Canna edulis 0.18 1.93 1.89 4.00 Chloris barbata 5.30 5.22 7.58 18.10 Clitoria ternatea 0.24 1.91 1.14 3.29 Elephantopus scaber 1.45 2.95 3.03 7.43 Eleusine indica 5.91 2.70 3.03 11.64 Galinsoga parviflora 7.81 3.06 3.79 14.67 Hyptis pectinata 5.45 3.63 3.79 12.87 Imperata cylindrica 5.30 4.65 5.68 15.63 Kyllinga monocephala 1.82 4.22 3.03 9.07 Lantana camara 1.21 2.16 5.30 8.67 Mimosa invisa 3.79 3.74 3.79 11.32 Mimosa pudica 5.45 4.88 3.41 13.74 Oplismenus burmanii 13.63 8.74 12.12 34.49 Oxalis corniculata 0.27 0.79 0.76 1.82 Paederia foetida 0.24 1.13 0.38 1.76 Panicum barbatum 7.12 3.06 3.41 13.59 Paspalum scrobiculatum 2.42 3.52 3.03 8.97 Pennisetum purpureum 5.60 5.33 5.68 16.62 Peperomia pellucida 5.45 4.88 7.58 17.91 Phyllanthus reticulatus 0.06 0.57 0.38 1.01 Phyllanthus urinaria 1.06 1.52 2.65 5.23 Stachytarpheta jamaicensis 6.51 6.47 3.79 16.77 Wedelia biflora 2.42 3.52 3.41 9.35 Xanthosoma nigrum 1.06 2.61 1.89 5.56 Zingiber purpureum 0.09 1.02 0.76 1.87 Total 100 100 100 300

Tabel 7. Diversity Index of vegetation in Samin Watershed Vegetation and areas LCC: Upstream Midstream Downstream Trees: Upstream Midstream Downstream

H’

Interpretation

1,04 1,34 1,23

Medium Medium Medium

1,31 1,15 0,97

Medium Medium Low

IVI 58.14 7.00 15.41 60.59 8.29 37.97 34.26 6.54 8.73 77.14 62.14 23.78 400


MARIDI et al. – Vegetation analysis of Samin watershed

Figure 2. Comparison of number of species in upstream, midstream, and downstream area of Samin watershed

In the downstream area there were 12 tree species belonging to 7 families. The IVI of tree species in the downstream area are presented in Table 6. The tree species with the greatest IVI were Samanea saman (77.14), Swietenia mahagoni (62.14), and Cassia siamea (60.59). Tree species in the downstream area canopy area ranging from 79 to 320 m2 while the height of trees ranged from 3.50 to 9.21 m. The results of vegetation analysis in Samin watershed showed that composition of vegetation in three areas was different from each other. Composition of vegetation gives an overview of the spatial occupation level of each plant species making up the community which is the result of interaction between biotic and abiotic components (Fachrul 2007). Comparison of the number of species making up community in three observation areas is presented in Figure 2. There were differences in both LCC and tree species, in terms of species and the number of individuals, although some species were found in all three observation areas. The differences are due to environmental factors. This is supported by Gupta et al. (2008) who state that environmental factors influence the diversity of living organisms making up an area (both density and species richness) including vegetation and fauna. The environmental factors include soil temperature, pH, and nutrient content in the soil. In addition, Krebs (2009) and Ardhana (2012) mention that the climatic conditions in the habitats of plants also influence plant community. Elevation is one of environmental factors. Elevation of some areas influences the importance value index (IVI) of vegetation. IVI shows the contribution or importance of species in plant communities. Giliba et al. (2011) state that the higher IVI, the higher contribution of species in its community. From Figure 2, we know that for tree vegetation, number of species decreased from the upstream to the downstream area. This suggests differences in environmental conditions between the upstream and downstream. The downstream region was dominated by farming areas so that the number of tree species found was fewer than that in the upper and middle regions.

221

Diversity of vegetation in Samin watershed The diversity indexes (H’) for LCC in upstream, midstream, and downstream areas were 1.04; 1.34; and 1.23 respectively. While the H’ for tree vegetation in upstream, midstream, and downstream areas were 1.31; 1.15; and 0.97 respectively. Complete interpretation for diversity of vegetation in Samin watershed is presented in Table 7. Interpretation based on Fachrul (2007) which defines: 1) the value of H '> 3 indicates a high diversity; 2) the value of H ', 1 ≤ H' ≤ 3 shows medium diversity; and 3) the value of H '<1 indicates low diversity. Shannon-Weiner index, according to Giliba et al. (2011), shows the species richness (number of species) and species evenness (distribution) in a region. The higher the H’ value, the higher the species diversity and distribution in a region. This is similar to Paramitha (2010) statement that the diversity index is correlated positively with the number of species. The diversity of organisms in a community is affected by the components of space, time, and food. The highest diversity index for LCC vegetation was found in the midstream area while the lowest was in the upstream area. The highest tree diversity index was found in the upstream area while the lowest was downstream area. This is closely related to environmental factors in the three areas of observation. Differences in environmental factors can affect the lives of both trees and LCC vegetation. The downstream region has the lowest tree diversity. The number of individual species found in the downstream region was also the least. This is caused mainly by the large size of land in the downstream area used as agricultural land and tree plantations so the vegetation is uniform. Sujalu (2008) explains that habitat types that have more species are likely to have higher species diversity index. Relationship between vegetation and water and soil conservation Condition of vegetation in Samin watershed including both composition and diversity of trees and LCC can be used as an indicator of sustainability of Samin watershed, especially in relation to water and soil conservation. The results of the study Wang et al. (2013) state that vegetation affects the ability of soil to retain water in order to prevent erosion and landslides in the surrounding cliffs. This result is supported by Maridi et al. (2014) that states vegetation condition in watershed can be used as monitoring of erosion and landslide in watershed. Arrijani (2006) also states that the thick vegetation and grass vegetation types are more effective in curbing erosion than relay cropping plants, cotton and corn. Plant roots can significantly improve the stability of the soil and act as anti-erosion system (Zheng et al. 2007). This is also supported by Maridi (2012) showing that grass vegetation is lower crop community that can resist erosion and retain sediment, since grasses have the ability to hold soil due to their strong root system. The results showed that the overall diversity of trees and LCC vegetation was in the medium category except for LCC vegetation in the downstream area. However, there were no significant differences in diversity indexes among


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B I O D I V E R S IT A S 15 (2): 215-223, October 2014

the three sub-watershed areas in Samin. It indicates that the diversity of LCC vegetation in Samin watershed was still in the moderate category. One reason is that the land in Samin watershed for crop production and agriculture and received less attention from the government. There were some similarities among the three regions in species composition, although there were differences in the number of individuals. LCC vegetation in the upstream region was dominated by Mimosa pudica, Ageratum conyzoides, and Tridax procumbens which are shrub, while the middle and downstream areas were dominated by grasses. Shrubs and grasses have the potential to be developed in water and soil conservation efforts, as shown in the results of research of Sancayaningsih and Saputra (2013) showing that the grass vegetation could withstand runoff and increase infiltration. The average retention to hold rainwater in this study, were 33% for bare ground, 77% for grasses and herbs, and 81% for shrubs. Shrub is a woody plant which has good ground coverage and root system. Root systems of vegetation both LCC and trees can significantly improve the stability of the soil and act as an anti-erosion system. Vegetation can also reduce erosion by reducing water flow in the soil surface. The percentage reduction of sediment is higher than the average reduction of run off. The reduction of run off in forest vegetation is 30.8% and in the grass vegetation is 5.6% while the average reduction of sediment is 88.8% in forest vegetation and 77.4% in grass vegetation (Zheng et al. 2007). Tree canopy can retain rain water through several mechanisms. Vegetation canopy can intercept droplets of rain water that falls on it, hold it above the canopy and release it over the surface of the soil (through fall) and let it run it through a carrier vessels in the stem (stem flow) as well as reduce its kinetic energy when it falls on the ground. This reduces the direct blow of the rain water on the ground, thereby reducing the risk of damage to the soil surface, lowering the erosion rate. Trees produce a litter layer which can also reduce the negative effects of the rain drop, curb runoff, increase infiltration and reduce friction with the ground so that erosion and sedimentation are reduced. The results of vegetation analysis showed that the dominant tree species in the upsteam and midstream areas was Tectona grandis and in the downstream area was Samanea saman. These trees have large and strong root system as indicated by the height of plants and the canopy area. In the upstream, midstream, and downstream regions, the canopy area ranged from 31 to 430 m2, 102-470 m2, and 79-320 m2 respectively While the height of plants ranged from 5.50 to 15.50 m, 3.38-11.25 m, and 3.50- 9.21 m respectively. Day et al. (2010) states that size and spread of roots are influenced by plant height and canopy area. Trees with large root serve to strengthen the soil, to prevent erosion and to hold a large amount of water. Litter layer also has the potential to enrich the soil so that the soil is not barren. Having these conditions, the watershed is expected to remain in good condition characterized by a small erosion and sediment, because the rain water is infiltrated and stored mostly as ground water. This also has the

potential to cope with droughts and flooding in the Samin sub-watershed.

CONCLUSION The results of this research showed that in the upstream, midstream, and downstream areas the numbers of LCC species were 21, 34, and 28 respectively. The diversity indexes of LCC vegetation in the upstream, midstream, and downstream areas were 1.04, 1.34, and 1.23 respectively, categorized as medium diversity. The numbers of tree species in the upstream, midstream, and downstream areas were 27, 18, and 12 respectively. The diversity indexes of tree vegetation in the upstream, midstream, and downstream areas were 1.31, 1.15, and 0.97 respectively, categorized as medium for upstream and midstream areas and low for downstream area. To maintain the sustainability of Samin Watershed, the vegetation in the watershed must be conserved.

REFERENCES Ardhana IPG. 2012. Plant Ecology. Udayana University Press, Bali. [Indonesian] Arrijani. 2006. Correlation between Trees Architecture Model with Stem flow, Canopy Interception, Infiltration, Surface Flow, and Erosion. [Dissertation]. Bogor Agricultural University, Bogor. [Indonesian] Barbour MG. 1987. Terrestrial Plant Ecology. The Benjamin Cummins, Menlo Park, C.A. BPDAS. 2009. Circular Letter Number SE.02/V-SET/2009 about Decision in Working Area of BPDAS. [Indonesian] Day SD, Wiseman PE, Dickinson SB, Harris JR. 2010. Contemporary concepts of root system architecture of urban trees. Arboricult Urb For 36 (4): 149-159. Eamus D. 2010. Catchment water balance, climate, and groundwater. Groundwater 1: 1-6. Fachrul MF. 2007. Bioecology Sampling Method. Bumi Aksara, Jakarta. [Indonesian] Giliba RA. 2011. Species composition, richness, and diversity in Miombo Woodland of Bereku Forest Reserve, Tanzania. J Biodiv 2 (1): 1-7. Gupta RB, Chaudhari PR, Wate SR. 2008. Floristic diversity in urban forest area of NEERI Campus, Nagpur, Maharashtra (India). J Environ Sci Eng 50 (1): 55-62. Krebs CJ. 2009. Ecology: The Experimental Analysis of Distribution and Abundance. 6th ed. Benjamin Cummings, San Francisco. Maridi, Marjono, Alanindra, Agustina. 2014. Identification of Vegetation Diversity for Keeping the Quality of Slope Around Dengkeng Watershed, Klaten, Central Java. Proceeding of International Conference on Basic Science (ICBS) and International Conference on Global Resource Conservation Initiade in 2010, Malang, February 2014. Maridi. 2012. Sedimentation Prevention (Control) through Community Based of Vegetative Conservation Approach of the Keduang SubWatershed Wonogiri, Central Java, Indonesia. [Dissertation]. Sebelas Maret University, Surakarta. [Indonesian] Marsono Dj. 2008. The requirement use of the ecosystem knowledge in Land and Forest Management. Speech on the 45th Anniversary of Faculty of Forestry, Yogyakarta, November 7, 2008. [Indonesian] Mitchell K. 2007. Quantitative analysis by the Point-Centered Quarter Method. arXiv:1010.3303v1 Mueller-Dumbois D, Ellenberg, H. 1974. Aim and Methods of Vegetation Ecology. John Willey and Sons, New York. Nugraha S, Sulastoro, Sutirto TW, Sudarwanto S. 2006. Potential and Breakage Level of Land in Samin Watershed Karanganyar and Sukoharjo Regency Central Java in the year of 2006. PPLH LPPM, Sebelas Maret University, Surakarta. [Indonesian]


MARIDI et al. – Vegetation analysis of Samin watershed Paramitha IGAAP, Ardhana IPG, Pharmawati M. 2010. Biodiversity of ephiphytic orchid in Danau Buyan, Tamblingan National Park. Metamorfosa 1 (1):11-16. [Indonesian] Parejiya NB, Detroja SS, Panchal NS. 2013. Vegetation analysis at Bandiyabedi Forest in Surendranagar District of Gujarat State of India. Intl J Life Sci Biotechnol Pharm Res 2 (2): 241-247. Postel SL, Thompson BH. 2005. Watershed protection: Capturing the benefits of nature’s water supply services. Nat Resour Forum. 29: 98108. Riyanto HD, Paimin. 2011. Performance of hardwood tree in Samin Watershed in the perspective of watershed conservation. For Nat Conserv Res J 8 (1): 45-54. [Indonesian] Sancayaningsih RP, Saputra A. 2013. Tree vegetation analysis around springs for water conservation. Gadjah Mada University, Yogyakarta. [Indonesian] Sujalu AP. 2008. Vegetation analysis of ephypitic orchid in felled tree receptacle forest Malinau Research Forest (MRF)-CIFOR. Media Konservasi. 13 (3): 1-9. [Indonesian]

223

Susanto W. 2012. Vegetation Analysis in Tropical Rainforest Ecosystem for Managing Raden Soerjo Public Forest. (www.wayansusantoshut. blogspot.com). [Indonesian] Triwanto J. 2012. Forest Land and Watershed Conservation. UMM Press, Malang. [Indonesian] Wang C, Chuan YZ, Zhong LX, Yang W, Huanhua P. 2013. Effect of vegetation on soil water retention and storage in a semi arid Alpine forest catchment. J Arid Land 5 (2): 207-219. Whittaker RH. 1975. Communities and Ecosystems. Macmillan, London. Widoretno S. 2011. Plant Ecology Learning Module. Sebelas Maret University, Surakarta. [Indonesian] Yan Y, Xu X , Xin X, Yang G, Wang X, Yan R, Chen B. 2011. Effect of Vegetation Coverage on Aeolian Dust Accumulation in Semiarid Steppe of Northern China. Catena 87: 351-356. Zheng MG, Cai Q, Chen H. 2007. Effect of vegetation on runoff-sediment yield relationship at different spatial scales in Hilly Areas of the Loess Plateau, North China. Acta Ecol Sin 27 (9): 3572-3581.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 224-228

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150215

Effect of ecotourism on plant biodiversity in Chelmir zone of Tandoureh National Park, Khorasan Razavi Province, Iran AMIRHOSSEIN ZARGHI1, SEYED MOHSEN HOSSEINI2,♥ 1 Research and Science Branch of Ahvaz, Khoozestan, Iran Department of Forestry, Faculty of Natural Resources and Marine Science, Tarbiat Modares University, Noor, Mazandaran, Iran. Tel.: +989111213898, Fax. +981226253499, ♥email: hosseini@europe.com, hosseini@modares.ac.ir.

2

Manuscript received: 28 May 2014. Revision accepted: 3 August 2014.

ABSTRACT Zarghi A, Hosseini SM. 2014. Effect of ecotourism on plant biodiversity in Chelmir zone of Tandoureh National Park, Khorasan Razavi Province, Iran. Biodiversitas 15: 224-228. Tourism in protected areas is generally viewed as a primary source of promoting economic and social growth to local communities and commonly perceived to safeguard biodiversity. However, in the last few decades an increasing number of visitors along with more diverse activities are having greater impacts on nature. Hence due to importance of ecotourism in Iran, the effect of ecotourism on plant biodiversity in Chelmir zone was investigated. To acquire the aim of the article, the sampling area was selected under the condition that the ecotourism is solely the variable factor and the slope, direction and height are considered constant factor after evaluation of the ecological land unit drawings. Two zones of high pressured and low pressured ecotourism were considered after evaluation of related drawings. Samples were taken in spring 2010. For evaluation of the plant biodiversity 60 samples of 1m2 (30 samples in each zone) were taken randomly and then the list of flora and the cover percentage of vegetation were recorded and then the percentage of vegetation data were analyzed in Biopast software and the biodiversity (Shanon, Simpson) richness (Menhinick, Margalef) evenness (Dominance, Berger-Parker) and dominance (Evenness, Equitability) indices were calculated. The mentioned indices were inserted in SPSS II software and the data normality was tested through Kolomogrov-Smirnov test. Due to data normality, non-paired T test was used in order to compare diversity analysis. The results indicate that the diversity, richness, dominance and evenness indices show significant effects of ecotourism on biodiversity indices. Keywords: Biodiversity, dominance, ecotourism, evenness, richness

INTRODUCTION To prevent the loss of biodiversity, many protected areas have been established throughout the world. Most protected areas, particularly in developing countries, were established in remote and peripheral regions largely occupied by marginalized and extremely poverty stricken populations (Sanderson 2005). Protected areas (PAs) play critical roles in safeguarding biodiversity and maintaining the crucial services provided by the natural systems. They have an important role in the evolving challenge of maintaining a sustainable world (Kolahi et al. 2013). It is estimated that as many as25% of the world’s species could become extinct in the next few decades at a rate of 27,000 species per year (Nyaupane and Poudel 2011). Almost all countries have set aside at least a part of their territory for the purpose of nature conservation (Nolte et al. 2010). More than 161,991 PAs have been reported (PPW 2011), and this number is still increasing. The discussion on tourism and biodiversity tends to focus on the (negative) impacts of tourism on biodiversity. As a consequence, negative impacts have been quickly observed for wildlife species and habitats due to air and water pollution, vegetation removal for tourist facilities and infrastructures (refuges, camping sites, roads, etc.), reductions

in plant and animal fitness, habitat loss and degradation (Steidl and Anthony 2000; Kelly et al. 2002; Manor and Saltz 2003; Amo et al. 2006; Rossi et al. 2006; Griffin et al. 2007). Different types of activities including camping and trampling often result in changes in species richness, with taxa more susceptible to damage being lost from a community, but others able to colonize disturbed sites. Trampling of the fragile field mark vegetation along the highest mountain ridges in Australia resulted in a decline in native species richness on the track compared to adjacent vegetation, as well as a decline in the abundance of species (McDougall and Wright 2004). The impacts of digging ‘cat-holes’ was experimentally tested across a range of vegetation types in Tasmania and digging resulted in lower overlapping cover values for a wide range of plant species in most communities sampled (Bridle and Kirkpatrick 2003). Soil compaction can occur from a range of visitor activities in protected areas such as trampling, camping, horse-riding and mountain biking (Good 1995; Goeft and Alder 2001; Smith and Newsome 2002; Talbot et al. 2003; Turton 2005). For example, both formal and informal campsites in Warren National Park in Western Australia were found to have higher penetration resistance and bulk density than controls with formal campsites having 304%


ZARGHI & HOSSEINI – Ecotourism in Tandoureh National Park, Iran

greater penetration resistance than controls. This was likely to result in decrease in soil moisture and increased erosion (Smith and Newsome 2002). The addition of nutrients from human waste disposal (such as urine and fecal material) by bushwalkers and campers can result in a change to species composition due to competitive displacement (Bowman and Steltzer 1998). This can create feedbacks for continuing change and also benefit weed species, leading to changes in vegetation communities. However, research in Tasmania found a beneficial effect of low levels of nutrient addition (artificialurine) on vegetation, with increased growth of many taxa and the only obvious negative effect was a reduction in cover of moss at one site (Bridle and Kirkpatrick 2003). Iran has a long history of nature protection (Yakhkashi 2002). Currently, PAs are divided into four categories under the management of Iran’s Department of the Environment (DoE). However, since the 1950s, following new definitions of PAs, the number of PAs in Iran has increased dramatically, especially during the last 10 years. In total, 253 PAs have been declared which cover 10.12 % of the country’s area (Table 1) (Kolahi et al. 2013). Parks, protected areas, and other natural areas in Iran and across the world are considered as special places that have been regarded as natural and cultural assets attracting many local, national, and international tourists (Kolahi et al. 2014; Darvishsefat 2006; Moore et al. 2009). Parks are Table 1. Protected and other natural areas in Iran (Kolahi et al. 2013)

Categories National Parks National Natural Monument Wildlife Refuge Protected Area Total

26 35

1960537 38697

% to the whole PAs 11.76 0.23

42 150 253

5567643 9109857 16676734

33.39 54.63 100

Number Area (Ha)

% to the country 1.19 0.02 3.38 5.53 10.12

225

parts of cities or the country sides where visitors can enjoy themselves, but little tourist revenue reaches park management, despite the fact that this revenue is much needed. This article aims to contribute to the discussion on tourism in relation to biodiversity. It evaluates the effects of ecotourism on plant biodiversity by comparing the diversity, richness, dominance and evenness indices in two high-pressured and low-pressured zones and consequently presents the environmental management strategies for better conservation.

MATERIAL AND METHODS Site characteristics Tandoureh National Park (37.19 N to 37.33 N; 58.33 E to 58.54 E), encompassing an area of approximately 4448 ha, is located 30 kilometers southwest of the Daregaz region in Khorasan Razavi province of Iran and close to the Turkmenistan border. This park has significant heights, deep valleys and have mountainous climate. There are rare species of animals and plants in this park thus making it one of the most important wildlife areas nationally and internationally. Some of the important wild hosts for adult ticks in the park are wild sheep and goats, leopards, wild cats, wolves, jackals, foxes, rabbits and wild boars. Most rain falls in winter and spring, comprising between 72% and 76% of all the annual rainfall. Fluctuations in annual temperature are large. Mean annual temperature is about 14.3°C, and warmest month of the year is July with a mean temperature of about 34.1°C and the coldest month January with a mean temperature of about 2.7°C (Aghamiri et al. 2006). In Figure 2, the sampling area has been depicted. For evaluation of the plant biodiversity 60 samples of 1m2 (30 samples in each zone) were taken randomly and then the list of flora and the cover percentage of vegetation were recorded and then the percentage of vegetation data were analyzed in Biopast software and the biodiversity (Shanon, Simpson) richness (Menhinick, Margalef) evenness

Figure 1. Sampling area in Chelmir area in Tandoureh National Park, Iran


B I O D I V E R S IT A S 15 (2): 224-228, October 2014

Reference

Formula

Shanon Simpson Margalef Manhenick Berger-Parker Dominance Evenness Equitabality

Peet, 1974 Hill,1973 Margalef,1985 Menhenick 1964 May (1975) Harper (1999) Harper (1999) Harper (1999)

H`= -I PIln (PI) N2= (IPI2)-1 Dmg = S-1/ln (N) Dmn=S/n d = Nmax / N 1-Simpson index eH/S Shannon diversity divided by the logarithm of number of taxa

(Dominance, Berger-Parker) and dominance (Evenness, Equitability) indices were calculated. The mentioned indices were inserted in SPSS II software and the data normality was tested through Kolmogorov-Smirnov test. Due to data normality, non-paired T test was used in order to compare diversity analysis. A and B in the results indicate that the diversity, richness, dominance and evenness indices show significant effects of ecotourism on biodiversity indices and management strategies should be conducted for better conservation. Table 2 also shows the floristic list of Chelmir zone. Data analysis The indices which have been evaluated in this paper have been indicated above. As in has been presented, the biodiversity (Shanon, Simpson), richness (Menhinick, Margalef) evenness (Dominance, Berger-Parker) and dominance (Evenness, Equitability) indices were calculated in this study and the formulas have been presented in Table 2.

RESULTS AND DISCUSSION

Menhenick

Evennes

Simpson

Shanon

Dominance

There are no statistics about ecotourism in Iran’s. However, it is estimated to be very low (BHPAs 2011), mainly due to the lack of basic infrastructure, facilities and

Berger-Parker

Index

information, but in relation to this issue, few studies have been conducted in Mazandaran jungles and several of them have been performed in protected areas or national parks. In majority of the investigated zones have high species and richness diversity indices. Several protected areas and national and forest parks have an abundance of vegetation cover due to less anthropogenic factors, for instance Mahmoodi et al. (2005) found 119 species in protected Kelarabad forests, however the dominant species were Alnus spp. Rezazadeh (2008) reached the same conclusion and found 149 species in Khoshkedaran forests which was near Mahmodabad forests. A sit clear in the mentioned studies, high number of plant species is related to natural condition of parks but many of the negative impacts from tourism occur when the amount of visitors is greater than the environments̉​̉ ability to cope with the number of visitors. The species damage impacts are extremely vivid due to soil trampling, damage to flora, setting fire and building sports and playground which lead to low diversity, richness, dominance and evenness indices in studied area. In these zone two factors of (i) existence of Ailanthus altissima species in high pressure zone (ii) anthropogenic factors decline all the biodiversity indices. Lorestani et al. (2011) reached the same conclusion in Safaroud forest park which was divided into three highpressured, low-pressured and without pressured zones. High diversity and richness indices in low-pressured zone compared to high-pressured zone were related to tourism effects. High evenness indices in high-pressured zone in related to invasive species growth against anthropogenic factors (Hosseini et al 2011). Golegi (2011) came to the same conclusion that high pressure of tourism cause significant impacts on reduction of plant species, diversity, richness as well as increase of evenness. As whole findings of this study show that high impacts of ecotourism cause significant impact on the decrease of plant species diversity and richness as well as increase of evenness in Tandoureh National Park so the management strategies should be considered by concerned authorities.

Equitability

Table 1. Diversity Indices evaluated in past software

Margalef

226

Figure 2. Diversity, richness, dominance and evenness indices show significant effects of ecotourism on biodiversity.


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Table 2. Floristic list in studied area Family

Scientific name

Forms

Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Apiaceae Apiaceae Apiaceae Apiaceae Apiaceae Rubiaceae Poaceae Poaceae Poaceae Poaceae Lamiaceae Lamiaceae Solanaceae Papaveraceae Fabaceae Brassicaceae Brassicaceae Brassicaceae Brassicaceae Chenopodiaceae Chenopodiaceae Ephedraceae Iridaceae Hypericaceae Convolvulaceae Convolvulaceae Malvaceae

Artemisia aucheri Artemisia kopedaghensis Gundelia tournefortii Cousinia arida Koelpinia tenuissima Lactuca khorasanica Centaurea virgata Eryngium sp. Zosima absinthifolia Bunium persicum Korovinia tenuisecta Falcaria vulgaris Galium verum Aegilops triuncialis Poa bulbosa Agropyron trichophorum Cynodon dactylon Perovskia abrotanoides Phlomis cancellata Hyoscyamus squarrosus Papaver alpinum Medicago sativa Eruca sativa Crambe kotschyana Cryptospora falcata Capsella bursa-pastoris Eurotia ceratoides Chenopodium botrys Ephedra procera Gladiolus atroviolaceus Hypericum scabrum Convolvulus arvensis Convolvulus cantabrica Malva neglecta

Chamaephyta-frutescentia Chamaephyta-frutescentia Hemicryptophytes Hemicryptophytes Therophytes Hemicryptophytes Hemicryptophytes-Scaposa Chamaephyta-frutescentia Therophytes Geophyta-radicigemma Hemicryptophytes Hemicryptophytes Hemicripto-caespitosa Therophyta-caespitosa Geophyta-bulbosa Hemicripto-caespitosa Geophyta-rhizomatosa Hemicripto-caespitosa Hemicripto-caespitosa Hemicripto-caespitosa Therophyta-caespitosa Hemicripto-caespitosa Therophytascaposa Hemicriptorosulata Therophytascaposa Therophytascaposa Chamaephytafrutescentia Therophyta-caespitosa Chamaephyta-frutescentia Geophyta-radicigemma Hemicripto-caespitosa Hemicripto-rosulata Hemicripto-rosulata Hemicripto-caespitosa

Based on findings of this study, Significant differences between high pressure and low pressures zones show different conservation management strategies in the mentioned areas from ecotourism point of view. Considering long history of Tandoureh National Park and also the adverse condition of the biodiversity indices at high pressure zone in Chelmir area, the executive solution are recommended in order to modify the existing conditions: (i) The high pressure area should be under conservation and tourism managements frequently for environmental remediation. (ii) The tourist dispersal should occur temporarily and short term periods in Chelmir area, so that it will be prevented from population dispersal in one area and consequently the subsequent adverse impacts on flora. Growing population, changing patterns of settlement, environmental pollution of cities, and more needs for leisure have increased the importance of recreation places. Meanwhile, lack of financial resources to create or form recreational places, e.g., parks, has been conducted by the management of parks to evaluate the economic values of parks. In recent years, payment for park services has emerged as an innovative option to provide incentives for sustainable park management (Hein 2007). Valuation park

services, based on people’s preferences (Kumar et al. 2010), can be useful to regulate the transfer of payments from beneficiaries to providers in return for maintaining the supply of the park services. Ecotourism potentially provides a sustainable approach to tourism development across the world. Visitors in PAs can generate both positive and negative environmental impacts (McCool 2006). But some efforts show that through developing sustainable ecotourism it can be possible to change attitudes and increase conservation (e.g., Buckley 2012; Hussain et al. 2012; Miller et al. 2012; Kolahi et al. 2012a). To protect the biodiversity of PAs, all necessary facilities and equipment should be procured. Environmental codes should be developed and enforced to protect unique and fragile PAs and other natural resources. These codes should be strict and free of misinterpretation and misuse. More specifically, the laws related to the environment and PAs should be updated and amended for sustainable development. In addition, the DoE, various management levels, NGOs and local communities should be empowered to enforce these environmental codes. Significant monetary fines should be used to enforce code violations, and the revenue from fines should be used for the improvement and protection of local PAs. The capacity


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of the DoE (at national, provincial and local levels) should be strengthened to work with and influence other ministries, the media, and the private sector. The DoE should be helped in fulfilling its mandate by the Government, the Legislature and the Judicature (Kolahi et al. 2012b).

CONCLUSION Based on findings of this study, Significant differences between high pressure and low pressures zones show different conservation management strategies in the mentioned areas from ecotourism point of view. Considering long history of Tandoureh National Park and also the adverse condition of the biodiversity indices at high pressure zone in Chelmir area, the executive solution are recommended in order to modify the existing conditions: (i) The high pressure area should be under conservation and tourism managements frequently for environmental remediation. (ii) The tourist dispersal should occur temporarily and short term periods in Chelmir area, so that it will be prevented from population dispersal in one area and consequently the subsequent adverse impacts on flora.

ACKNOWLEDGMENTS Special thanks to all staff working in Tandoureh National Park, Iran for their valuable help in conducting this study. REFERENCES Aghamiri H, Golestani H, Bijani M. 2006. Tandoureh National Park. Envoirmental protection office of Khorasan Razavi Province, Iran. [Persian] Amo L, Lopez P, Martin J. 2006. Nature-based tourism as a form of predation risk affects body condition and health state of Podarcis muralis lizards. Biol Conserv 131: 402-409. BHPAs. 2011. Department of the Environment of Iran, GIS and Remote Sensing Section, Statistics for November 2011, Tehran. Bowman WD, Steltzer H. 1998. Positive feedbacks to anthropogenic nitrogen deposition in Rocky Mountain alpine tundra. Ambio 27: 514-517. Bridle K, Kirkpatrick JB. 2003. Impacts of nutrient additions and digging for human waste disposal in natural environments, Tasmania, Australia. J Environ Manag 69: 299-306. Buckley R. 2012. Tourism, conservation and the Aichi targets. PARKS 18 (2): 12-19. Darvishsefat A. 2006. Atlas of protected areas of Iran. University of Tehran, Tehran. Goeft U, Alder J. 2001. Sustainable mountain biking: a case study from the southwest of Western Australia, Journal of Sustainable Tourism. 9: 193-211. Golegi E. 2011. Impact of ecotourism on biodiversity indices in Chaldare forest park. J Sci Tech Nat Resour 6 (3): 85-97 Good R. 1995. Ecologically sustainable development in the Australian Alps. Mountain Res Dev 15: 251-258. Griffin SC, Valois T, Taper ML, Mills LS. 2007. Effects of Tourists on Behavior and Demography of Olympic Marmots. Conserv Biol 21: 1070-1081 Hein L. 2007. Environmental economics tool kit: Analyzing the economic costs of land degradation and the benefits of sustainable land management. 2nd ed. United Nations Development Program (UNDP) and Global Environment Facility (GEF), The Netherlands.

Hosseini SM, Goleiji EL, Kiadaliri M. 2011. Effect of ecotourism on plant biodiversity in Chaldoran Forestry park. J Sci Tech Nat Resour 3: 85-97. Hussain SA, Barthwal SC, Badola R, Rahman, SMT, Rastogi A, Tuboi C, Bhardwaj AK. 2012. An analysis of livelihood linkages of tourism in Kaziranga National Park, A Natural World Heritage Site in India. Parks 18 (2): 32-43. Kelly C, Pickering CP, Buckley RC. 2002. Impacts of tourism on threatened plant taxa and communities in Australia. Environ Manag 4: 37-44. Kolahi M, Sakai T, Moriya K, Makhdoum MF, Koyama L. 2013. Assessment of the effectiveness of protected areas management in Iran: Case Study in Khojir National Park. Environ Manag 52: 514-530 Kolahi M, Sakai T, Moriya K, Makhdoum MF. 2012b. Challenges to the future development of Iran’s protected areas system. Environ Manag 50 (4): 750-765. Kolahi M, Sakai T, Moriya K, Yoshikawa M, Esmaili R. 2014. From paper parks to real conservations: Case study of social capital in Iran’s biodiversity conservation. Intl J Environ Res 8 (1): 101-114. Kolahi M, Sakai T, Moriya K, Yoshikawa M. 2012a. Data mining recreation values and effective factors in ecotourism willingness to pay: A perspective from Iran’s Parks. Readings Book, the Global Business and Technology Association, New York. Kumar P, Verma M, Wood MD, Negandhi D. 2010. Guidance manual for the valuation of regulating services. United Nations Environment Programme (UNEP), New York. Lorestani B, Cheraghi M, Yousefi NN. 2011. Phytoremediation potential of native plants growing on a heavy metals contaminated soil of copper mine in Iran. World Acad Sci Eng Technol 77:377-382. Mahmoodi J, Zahedi Amiri GH, Adeli E, Rahmani R. 2005. An Acquaintance with the relationship between plant ecological groups and the soil characteristics in a Kelarabad Plain forests (in North of Iran). Iranian J Nat Resour 58: 351-362. [Persian] Manor R,, Saltz D. 2003. Impact of human nuisance disturbance on vigilance and group size of a social ungulate. Ecology 13: 1830-1834. McCool SF. 2006. Managing for visitor experiences in protected areas: promising opportunities and fundamental challenges. Parks 16 (2): 3-9. McDougall KL, Wright GT. 2004. The impacts of trampling on fieldmark vegetation in Kosciuszko National Park Australia. Austr J Bot 52: 315-320. Miller A, Leung YF Lu DJ. 2012. Community-based monitoring of tourism resources as a tool for supporting the convention on biological diversity targets: A preliminary global assessment. Parks 18 (2): 120-131. Moore SA, Crilley G, Darcy S, Griffin T, Taplin R, Tonge J, Wegner A, Smith A. 2009. Designing and testing a park-based visitor survey. CRC for Sustainable Tourism Pty Ltd., London. Nolte C, Leverington F, Kettner A, Marr M, Nielsen G, Bomhard B, Stolton S, Stoll-Kleemann S, Hockings M. 2010. Protected area management effectiveness assessments in Europe: A review of application, methods and results. Bundesamt fu¨r Naturschutz (BfN), Federal Agency for Nature Conservation Konstantinstrasse, Germany. Nyaupane GP, Poudel S. 2011. Linkages among biodiversity, livelihood, and tourism. Anna Tour Res 38 (4): 1344–1366. PPW [Protected Planet website]. 2011. www.protectedplanet.net, Accessed 23May 2011. Rezazadeh M. 2008. Survey Ecology in Protect Area of Mazandaran (Case Study: Khoshkedaran). Bandar Anzali Cultural Researches, Tehran. [Persian] Rossi G, Parolo G, Zonta LA, Crawford JA, Leonardi A. 2006. Salix herbacea L. fragmented small population in the N-Apennines (Italy): response to human trampling disturbance. Biodiv Conserv 15: 3881-3893. Sanderson S. 2005. Poverty and conservation: The new century’s ‘‘Peasant Question?’’. World Dev 33 (2): 323-332. Smith A, Newsome D. 2002. An integrated approach to assessing, managing and monitoring campsite impacts in Warren National Park, Western Australia. J Sustain Tour 10: 343-359. Steidl RJ, Anthony RG. 2000. Experimental effects of human activity on breeding Bald Eagles. Ecology 10: 258-268. Talbot LM, Turton SM, Graham AW. 2003. Trampling resistance of tropical rainforest soils and vegetation in the wet tropics of north east Australia. J Environ Manag 69: 63-69 Turton SM. 2005. Managing environmental impacts of recreation and tourism in rainforests at the Wet Tropics of Queensland World Heritage Area. Geograph Res 43: 140-151. Yakhkashi A. 2002. Identification, Conservation and Rehabilitation of Iranian Environment. Institute of Excellent Education of Agriculture, Tehran.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 229-235

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150216

Plant diversity in the homegardens of Karwar, Karnataka, India SHIVANAND BHAT1,2,♥, M. JAYAKARA BHANDARY1, L. RAJANNA3 1

Department of Botany, Government Arts and Science College, Karwar-581301, Karnataka, India. Tel.+91-8382-226362, Fax. +91-8382-226362, ♥ email: botssbhat2007@rediffmail.com. 2 Department of Botany, Bharathiar University, Coimbatore, Tamilnadu, India. 3 Department of Botany, Bangalore University, Jnanabharathi, Bangalore, Karnataka, India. Manuscript received: 22 May 2014. Revision accepted: 25 July 2014.

ABSTRACT Bhat S, Bhandary MJ, Rajanna L. 2014. Plant diversity in the homegardens of Karwar, Karnataka, India. Biodiversitas 15: 229-235. A study was conducted in 50 selected home gardens of Karwar, Karnataka, India to document their floristic diversity and composition with regard to life forms and uses. As many as 210 species of flowering plants belonging to 69 families were recorded. Euphorbiaceae (13species), Apocynaceae (11spp.), Cucurbitaceae (10 spp.) and Fabaceae (10 spp.) are the predominant families. Shrubs are the dominant life forms (73 spp.) followed by trees (61 spp.), herbs (42 spp.) and climbers (24 spp.). Areca palm (Areca catechu), coconut palm (Cocos nucifera), mango tree (Mangifera indica), banana (Musa paradisiaca), shoe flower (Hibiscus rosa-sinensis) and holy basil (Ocimum tenuiflorum) are the most common plants occurring in all of the 50 studied gardens. 38% of the plant species are grown mainly for ornamental and aesthetic purposes while 33% of the species are used for obtaining food products like fruits and vegetables and 22% of the plants are mainly used for medicinal purposes. The predominance of ornamental species makes the home gardens of Karwar different from those occurring in other regions in which mostly food plants form the major component. Key words: Biodiversity conservation, homegarden biodiversity, Karnataka, India.

INTRODUCTION Tropical home gardens are traditional agro-forestry systems characterized by the complexity of their structure and multiple functions (Das and Das 2005). They are, presumably, the oldest form of managed land-use systems next only to shifting cultivation (Kumar and Nair 2004). Homegardens are defined as land-use systems involving deliberate management of multipurpose trees and shrubs in intimate association with annual and perennial agricultural crops and invariably livestock within the compounds of the individual houses (Fernandes and Nair 1986). Homegardens are dynamic in their evolution, composition and uses. Besides ensuring a diverse and stable supply of socio-economic products and services such as food, medicine, firewood, fodder, timber, etc. to the families that maintain them, home gardens are also recognised as important in situ sites of biodiversity conservation, especially of agro biodiversity. They also invite the attention of researchers as interesting models of sustainable agroecosystems characterised by efficient nutrient recycling, low external inputs, soil conservation potential, ecofriendly management practices, etc (Torquebiau 1992; Jose and Shanmugaratnam 1993). Homegardens have been reported mainly from the tropical and sub-tropical regions of Asia, Africa and Mesoamerica and also from other regions like North America and Europe (Nair and Kumar 2006). In India, research on home gardens have been mainly concentrated in Kerala (Kumar et al. 1994; Puskaran 2002), Assam (Das and Das 2005) and Andaman islands (Pandey et al. 2006, 2007). No

scientific data is so far available from Karnataka State but for a study of tree species in the village ecosystems (Shastri et al. 2002). This study is therefore planned with the main objectives of inventorying the plant biodiversity of homegardens of the villages of Karwar of Karnataka State, India and understanding its uses. The data thus generated will form the basis for further studies regarding the structure and socio-economic contributions of home gardens of Karnataka, India.

MATERIALS AND METHODS Karwar is a taluk (revenue sub-division) and administrative headquarters of Uttara Kannada district of Karnataka state of India. This area is situated between 14° 48' N latitude and 74° 11' E longitude and is surrounded by the West Coast and the Western Ghats of India. The total geographical area of the taluk is 724.12 sq kms. The present study was conducted in 10 villages of Karwar namely Arga, Chendya, Amadalli, Guddalli, Shirawad, Kadawad, Kinnar, Siddar, Ulaga and Halaga (Figure 1). The people of the region represent a mixture of rich ethnic and cultural diversity. Brahmin, Halakki Gouda, Komar Panth, Konkan Marath, etc. are the predominant communities inhabiting this region. The area is still predominantly agrarian with other livelihood activities such as forest produce and firewood gathering, small scale business, etc. Paddy (Oryza sativa) is the principal crop cultivated. ‘Konkani’ and ‘Kannada’ are the main languages.


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A

B

C

D

Figure 1. Map of study locations in Karwar, Uttara Kannada, Karnataka, India. A. Karnataka of India, B. Uttara Kannada of Karnataka, C. Karwar of Utarra Kannada. D. Detailed map of study site in Karwar.

The 50 home gardens covering the 10 chosen villages of the study area were selected for inventorying the floristic composition. In each of the home garden, a detailed survey of the plant species was made during different seasons of the study period which was extending from June 2013 to March 2014. The elder members of the household were interviewed to gather information about the local names, parts used and the uses of plant species present in their home gardens. Plants in the Home gardens were identified with the help of local flora and other relevant literature (Cooke 1967; Bhat 2003).

RESULTS AND DISCUSSION The size of home gardens studied ranged from 0.01ha to 0.05ha, the average size being 0.02ha. A total of 210 species of flowering plants have been recorded from the 50 gardens during different seasons of the study period (Table 1). They belonged to 69 plant families. Families which are represented by 10 or more number of species are Euphorbiaceae (13 species), Apocynaceae (11spp.), Cucurbitaceae (10 spp.) and Fabaceae (10 spp.). The 21 most important families with 4 or more number of species are shown in Fig.2. The minimum number of plants recorded in a garden is 44 and the maximum recorded number in a garden is 138. Species diversity depended on size of the garden and highest percentage of gardens (32%)

had species numbers ranging from 61 to 70 (Figure 3). 10 gardens had more than 70 species, out of which only one had more than 100 species. Life-form analysis of the plant species (Figure 4) indicated that shrubs are the predominant forms with 73 species which account for 35% of the total recorded species. 61 species are trees (29%), 42 herbs (20%) and 34 are climbers (16%). The species diversity of the home gardens of Karwar appears to be considerably high when compared to other parts of India. 122 species of plants are reported from the gardens of Barak Valley, Assam (Das and Das 2005), trees being the dominant forms. Number of plants reported from the Kerala home gardens by different workers ranges from 65 to 127 (Nair and Shreedharan 1986, Kumar et al. 1994, John and Nair 1999). However, higher diversity is found in the home gardens of Northern Thailand (230 species, Black et al. 1996), Nicaragua (324 species, Mendez et al. 2001) and West Java (602 species, Karyona 1990). The 20 most common plants occurring in more than 75% of the studied homegardens are shown in Figure 5. Coconut palm (Cocos nucifera), mango tree (Mangifera indica), shoe flower (Hibiscus rosa-sinensis) and holy basil (Ocimum sanctum) are present in all the gardens (100% occurrence). Jack fruit tree (Artocarpus heterophyllus), areca palm (Areca catechu), banana (Musa paradisiaca) and basal leaf (Basella alba) are the other common plants which are recorded from more than 90% of the gardens.


BHAT et al. – Homegardens plant of Karwar, India

Areca palm, coconut palm and banana plants are also the most dominant and important species in the gardens of Kerala (Jose and Shanmugaratanam 1993), Assam (Das and Das 2005) and Andamans (Pandey et al. 2006). Homegardens are also used as a place to maintain a few elite mother plants of some of the economically important plants mentioned above. The species of plants in the home gardens of Karwar can be assigned into five major use categories as ornamental, medicinal, fruit yielding, vegetable yielding and others or miscellaneous which includes plants used as firewood source, timber yielding, fencing, etc. (Figure 6). This categorization is based on the main use of the plant as defined by the home garden owners as many plants are used for more than one of the above purposes. In the present study, ornamental plants are the most important use category with 38% of the recorded species belonging to this group which out numbers both of the food yielding

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Figure 4. Composition of different plant life forms in the homegardens of Karwar, India.

Gardenia thunbergia Dracaena terniflora Carica papaya Ixora chinensis Averrhoa bilimbi Tinospora cordifolia Catharanthus roseus Psidium guajava Jasminum grandiflorum Crossandra infundibuliformis Colocasia esculenta Capsicum minima Basella alba Musa paradisiaca Areca catechu Artocarpus heterophyllus Hibiscus rosa-sinensis Cocos nucifera Mangifera indica Ocimum sanctum

Poaceae Oleaceae Annonaceae Rutaceae Myrtaceae Moraceae Anacardiaceae Lamiaceae Asteraceae Araceae Amaranthaceae Zingiberaceae Malvaceae Verbenaceae Solanaceae Acanthaceae Rubiaceae Fabaceae Cucurbitaceae Apocynaceae Euphorbiaceae

Homegarden (%)

Figure 5. Most common plant species in the homegardens of Karwar, India. Number of plant species

Number of plant species

Figure 2. Important families of plants in the homegardens of Karwar, India.

Number of gardens

Figure 3. Number of species in the homegardens of Karwar, India.

Figure 6. Different plant use categories in the homegardens of Karwar, India.


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Table 1. Species diversity in the homegardens of Karwar, Karnataka, India. Botanical name Abelmoschus esculentus (L) Moench Acacia auriculiformis A.Cunn. Acalypha wilkesiana Muell.-Arg Acorus calamus L. Adhatoda zeylanica Medikus Aegle marmelos (L.) Correa Aerva lanata (L.) Juss. Albizia lebbeck (L.) Benth Allamanda cathartica L. Alocasia macrorrhiza (L.) G.Don Aloe vera (L.) Burm.F. Alpinia galanga (L.) SW. Alstonia scholaris (L.) R.Br. Alternanthera bettzickiana (Regel) Voss Alternanthera dentata L. Amaranthus hybridus L. Amaranthus tricolour L. Amorphophallus commutatus (Schott) Engl Anacardium occidentale L. Ananas comosus (L.) Merr. Andrographis paniculata (Burm.f.) Wall Angelonia salicariifolia Humb&Bonpl Annona muricata L. Annona reticulate L. Annona squamosa L. Antigonon leptopus Hook.&Arn. Areca catechu L. Artocarpus gomezianus Wall. Artocarpus heterophyllus Lam. Artocarpus altilis (Parkinson) Fosberg Asparagus racemosus Willd. Asystasia gangetica (L.) Anders Averrhoa bilimbi L. Averrhoa carambola L. Bambusa arundinacea (Retz.) Roxb. Barleria cristata L. Barleria prionitis L. Basella alba L. Bauhinia acuminate L. Bauhinia tomentosa L. Benincasa hispida (Thunb.) Cogn. Beta vulgaris L. Bixa orellana L. Boerhaavia diffusa L. Bougainvillea glabra Choisy. Brassica oleraceae var.Gongylodes Caesalpinia pulcherrima (L.) Swart. Caladium bicolor (Ait.) Vent Calotropis gigantea (L.) R.Br. Canavalia ensiformis (L.) DC. Canna indica L. Capsicum annuum L. Capsicum minima L. Cardiospermum halicacabum L. Carica papaya L. Catharanthus roseus (L.) G.Don Celosia argentea L. Centella asiatica (L.) Urban Cestrum nocturnum L. Chassalia curviflora (Wall.) Thw Chrysanthemum indicum L. Citrullus lanatus (Thunb.) Matsum & Nakai Citrus aurantifolia Swingle. Citrus grandis (L.) Osbeck Citrus medica L. Citrus sinensis (L.) Osbeck.

Family Malvaceae Fabaceae Euphorbiaceae Araceae Acanthaceae Rutaceae Amaranthaceae Fabaceae Apocynaceae Araceae Liliaceae Zingiberaceae Apocynaceae Amaranthaceae Amaranthaceae Amaranthaceae Amaranthaceae Araceae Anacardiaceae Bromaliaceae Acanthaceae Scrophulariaceae Annonaceae Annonaceae Annonaceae Polygonaceae Arecaceae Moraceae Moraceae Moraceae Liliaceae Acanthaceae Oxalidaceae Oxalidaceae Poaceae Acanthaceae Acanthaceae Basellaceae Fabaceae Fabaceae Cucurbitaceae Chinopodiaceae Bixaceae Nyctaginaceae Nyctaginaceae Brassicaceae Fabaceae Araceae Asclepiadaceae Fabaceae Cannaceae Solanaceae Solanaceae Sapindaceae Caricaceae Apocynaceae Amaranthaceae Apiaceae Solanaceae Rubiaceae Asteraceae Cucurbitaceae Rutaceae Rutaceae Rutaceae Rutaceae

Local Name Bendekayi Acacia Copper croton Bhaje Aadusoge Bilva Bilihindi soppu Kalbaage Mithaihoo Marasanige Lolesara Kallu shunti Haalemara Show gida Rudrakshi hoo Bili harige Harive soppu Suvarnagadde Geru mara Parangi Kirath kaddi Aame hoo Hanumaanphala Ramphala Seetaphala Peppermint hovu Adike Vaate huli Halasu Niirhalasu Shatavari Maithaaikaddi Bimbuli Karabalu Bidiru Gorate Mullu gorate Basale soppu Bili mandara Mani mandara Boodukumbala Beet root Sindhoorikai Punarnava Kaagadadahoo Navilakosu Huli Meesehoo Bannada gida Ekke Katti avare Kabaale Kempu menasu Nuchhu menasu Agni balli Pappale Nityapushpa Kolikombu Ondelaga Raatri raani Kadugarudapatala Sevantigehoo Kallangadi Nimbe Sakkarakanchi Maadala Kittale

Habit Shrub Tree Shrub Herb Shrub Tree Herb Tree Climber Shrub Herb Herb Tree Herb Herb Shrub Herb Shrub Tree Tree Herb Herb Tree Tree Tree Climber Tree Tree Tree Tree Climber Herb Tree Tree Tree Shrub Shrub Climber Tree Tree Climber Herb Shrub Herb Shrub Herb Tree Herb Shrub Climber Shrub Shrub Shrub Climber Tree Shrub Herb Herb Shrub Shrub Herb Climber Shrub Tree Shrub Tree

Uses Veg Misc Orn Med Med Med Med Misc Orn Veg Med Med Med Orn Orn Veg Veg Veg Fr Fr Med Orn Fr Fr Fr Orn Fr Fr Fr Fr Med Orn Veg Fr Veg Orn Orn Veg Orn Orn Veg Veg Misc Med Orn Veg Orn Orn Med Veg Orn Veg Veg Med Fr Orn Orn Med Orn Med Orn Fr Med Fr Fr Fr


BHAT et al. – Homegardens plant of Karwar, India Cleome speciosa L. Clerodendrum calamitosum L. Clerodendrum inerme Gaerth. Clerodendrum philippinum Schau. Clerodendrum thomsoniae L. Clitoria ternatea L. Coccinia grandis (L.) Voigt Cocos nucifera L. Codiaeum variegatum L. Coffea arabica L. Coleus amboinicus Lour. Coleus scutellarioides (L.) Benth. Colocasia esculenta (L.) Schott Cordia obliqua Willd. Cosmos sulphureus Cav. Costus speciosus (Koenig) Smith Crossandra infundibuliformis (L.) Nees Cucumis sativus L. Cucurbita moschata (Lam.) Duch. Curcuma amada Roxb. Curcuma caesia Roxb. Curcuma longa L. Cymbopogon citratus (DC.) Stapf. Cynodon dactylon (L.) Pers. Dahlia tuberosa Desf. Datura metel L. Dioscorea alata L. Dioscorea bulbifera L. Dombeya burgessiae Harv. Dracaena terniflora Roxb. Duranta erecta L. Emilia sonchifolia (L.) DC. Ervatamia divaricata (L.) Alston Eryngium foetidum L. Euphorbia cyathophora Murray Euphorbia neriifolia L. Euphorbia pulcherrima Willd.ex Klotzsch Ficus racemosa L. Ficus religiosa L. Garcinia indica (Dupetit-Thouars) Choisy Gardenia angusta (L.) Merr. Gardenia thunbergia L. Gliricidia sepium (Jacq.) Walp Gloriosa superba L. Gymnema sylvestre (Retz.) R.Br. Hedychium coronarium Koenig. Hibiscus mutabilis L. Hibiscus radiatus Cav. Hibiscus rosa-sinensis L. Hibiscus schizopetalus (Mast.) Hook.f. Hibiscus syriacus L. Holarrhena pubescens (Buch-Ham) Wall. Holigarna arnottiana Hook.f. Impatiens balsamina L. Ipomoea batatas (L.) Lam. Ipomoea carnea Jacq.subsp.fistula Ixora brachiata Roxb. Ixora chinensis Lam. Ixora coccinea L. Jasminum grandiflorum L. Jasminum multiflorum (Burm.f.) Andr. Jasminum sambac (L.) Ait Jatropha curcas L. Kalanchoe pinnata (Lam.) Pers. Lagenaria siceraria (Molina) Standl. Lawsonia inermis L. Luffa acutangula (L.) Roxb. Luffa cylindrical (L.) Roem. Lycopersicon lycopersicum (L.) Farwell. Macaranga peltata (Roxb.) Muell.-Arg. Malvaviscus penduliflorus DC.

Capparaceae Verbenaceae Verbenaceae Verbenaceae Verbenaceae Fabaceae Cucurbitaceae Arecaceae Euphorbiaceae Rubiaceae Lamiaceae Lamiaceae Araceae Boraginaceae Asteraceae Zingiberaceae Acanthaceae Cucurbitaceae Cucurbitaceae Zingiberaceae Zingiberaceae Zingiberaceae Poaceae Poaceae Asteraceae Solanaceae Dioscoreaceae Dioscoreaceae Sterculiaceae Agavaceae Verbenaceae Asteraceae Apocynaceae Apiaceae Euphorbiaceae Euphorbiaceae Euphorbiaceae Moraceae Moraceae Clusiaceae Rubiaceae Rubiaceae Fabaceae Liliaceae Asclepiadaceae Zingiberaceae Malvaceae Malvaceae Malvaceae Malvaceae Malvaceae Apocynaceae Anacardiaceae Balsaminaceae Convolvulaceae Convolvulaceae Rubiaceae Rubiaceae Rubiaceae Oleaceae Oleaceae Oleaceae Euphorbiaceae Crassulaceae Cucurbitaceae Lythraceae Cucurbitaceae Cucurbitaceae Solanaceae Euphorbiaceae Malvaceae

Meese Huvu Kaadu mallige Vishamadhari Madras mallige Rakta bakki Shankhapushpa Tonde balli Tengu Bannada Gida coffee Sambaarasoppu Chukke gida Kesu Challehannu Ketaki Narikabbu Abbalige Mullu savate Sihikumbala Ambe kombu Kuve gida Arishina Majjige hullu Garike Derehuvu Keppottu soppu Mundigenasu Heggenasu December huvu Dracena Duranta Ilikivi Nandibattalu Rakshasa kottumbari Bannada gida Kalli gida Bannada ele Attimara Ashwattha Murugalu Nandi Battalu Nanjattale Gobbara gida Gowri Huvu Madhunashini Sugandi Chandrakanti Mullu dasal Daasavaala Gante daasavaala Nili dasal Kodasiga Holagere Gourihoo Genasu Beli gida Bili gonchalu Ashoka kusumale Jaaji mallige Sooji mallige Gundu mallige Audalu-haralu Kaadubasale Sorekai Madarangi Heerekai Boluheere Tomato Chandakalamar Cheepu dasal

233 Shrub Shrub Shrub Shrub Climber Climber Climber Tree Shrub Shrub Herb Shrub Shrub Tree Shrub Shrub Shrub Herb Climber Herb Herb Herb Herb Herb Shrub Shrub Climber Climber Shrub Shrub Shrub Herb Shrub Herb Shrub Shrub Shrub Tree Tree Tree Shrub Shrub Tree Climber Climber Shrub Shrub Shrub Tree Shrub Shrub Shrub Tree Herb Climber Shrub Tree Shrub Shrub Climber Climber Climber Shrub Herb Climber Shrub Climber Climber Shrub Tree Shrub

Orn Orn Orn Orn Orn Orn Veg Fr Orn Misc Med Orn Veg Misc Orn Med Orn Veg Veg Veg Med Med Med Med Orn Med Veg Veg Orn Orn Orn Veg Orn Med Orn Orn Orn Med Misc Med Orn Orn Misc Med Med Orn Orn Orn Orn Orn Orn Med Misc Orn Veg Misc Orn Orn Med Orn Orn Orn Misc Orn Veg Orn Veg Veg Veg Misc Orn


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Mangifera indica L. Manihot esculenta Crantze Manilkara zapota (L.) P.Royen Maranta arundinaceae L. Michelia champaca L. Mimusops elengi L. Mirabilis jalapa L. Momordica charantia L. Momordica dioica Roxb. Moringa oleifera Lam. Musa paradisiaca L. Mussaenda erythrophylla Schum. &Thonn Mussaenda philippica A.Rich Myristica fragrans Houtt Nerium oleander L. Nyctanthes arbor-tristis L. Ocimum basilicum L. Ocimum sanctum L. Pandanus amaryllifolius Roxb. Passiflora edulis Sims. Phyllanthus acidus (L.) Skeels. Phyllanthus emblica (L.) Piper betle L. Piper longum L. Piper nigrum L. Pistia stratiotes L. Plumbago indica L. Plumeria obtuse L. Plumeria rubra L. Pogostemon heyneanus Benth. Polyalthia longifolia (Sonn.) Thw. Portulaca grandiflora Hook. Portulaca oleraceae L. Pseuderanthemum bicolour (Schrank) R. Psidium guajava L. Psophocarpus tetragonolobus (L.) DC. Punica granatum L. Quisqualis indica L. Raphanus sativus L. Rauvolfia serpentine (L.) Benth. Rauvolfia tetraphylla L. Ricinus communis L. Rosa centifolia L. Saccharum officinarum L. Salvia coccinea Juss. Sansevieria roxburghiana Schult.f. Sapindus laurifolius Vahl. Sauropus androgynus (L.) Merr. Solanum americanum Mill. Solanum melongena L. Solanum torvum Sw. Spondias dulcis Soland Spondias pinnata (L.f.) Kurz Stachytarpheta jamaicensis (L.) Vahl Strelitzia reginae L. Strychnos nux-vomica L. Syzygium aromaticum (L.) Merr.&Perry Syzygium caryophyllatum (L.) Alston Syzygium cumini (L.) Skeels Syzygium samarangense (B1.) Merr.&Perry Tagetes erecta L. Tamarindus indica L. Tectona grandis L.f. Thevetia peruviana (Pers.) Merr Thunbergia grandiflora Roxb. Tinospora cordifolia (Willd.) Hook. Turnera ulmifolia L. Vanilla planifolia Jacks. ex Andrews Vitex negundo L. Wedelia trilobata (L.) A.S.Hitchc. Zanthoxylum rhetsa (Roxb.) DC. Zingiber officinale Roscoe Ziziphus mauritiana Lam.

15 (2): 229-235, October 2014

Anacardiaceae Euphorbiaceae Sapotaceae Marantaceae Magnoliaceae Ebenaceae Nyctaginaceae Cucurbitaceae Cucurbitaceae Moringaceae Musaceae Rubiaceae Rubiaceae Myristicaceae Apocynaceae Oleaceae Lamiaceae Lamiaceae Pandanaceae Passifloraceae Euphorbiaceae Euphorbiaceae Piperaceae Piperaceae Piperaceae Araceae Plumbaginaceae Apocynaceae Apocynaceae Lamiaceae Annonaceae Portulacaceae Portulacaceae Acanthaceae Myrtaceae Fabaceae Punicaceae Combretaceae Brassicaceae Apocynaceae Apocynaceae Euphorbiaceae Rosaceae Poaceae Lamiaceae Agavaceaee Sapindaceae Euphorbiaceae Solanaceae Solanaceae Solanaceae Anacardiaceae Anacardiacea Verbenaceae Srelitziaceae Loganiaceae Myrtaceae Myrtaceae Myrtaceae Myrtaceae Asteraceae Fabaceae Verbenaceae Apocynaceae Acanthaceae Menispermaceae Turneraceae Orchidaceae Verbenaceae Asteraceae Rutaceae Zingiberaceae Rhamnaceae

Maavu Maragenasu Chikku Araroot Sampige Renjalu-mara Sanji mallige Haagalu Maadu-haagala Nugge-mara Baale Mussanda Mussanda Jaai-kaai Kanagile Paarijaata Kaamakastoori Tulasi Biryani Sharbath balli Rajanelli Nellimara Vilyada ele Hippali Kaalumenasu Neerugulabi chitramula Kaadusampige Gosampige Pachhe tene Madras ashoka Haali bachale Golisoppu Motimallige Perale Mattiavare Dalimba Bobaymallige Mullangi Sarpagndha Sarpagandha Haralu oudala Gulabi Kabbu Salvia gida Manjina naaru Antuvaalakai Chakramani Chavigida Badane Gullabadane Sihi amate Huli amate Kaadu uttarani Meenada Baala Kaasarka Lavanga Kuntu nerale Nerale Jambe hannu Gonde hoovu Hunase Saagavaani Karaveera Neeli Huvu Amratha balli Haldi Huvu Vanilla Nukki gida Kaadu sevantige Jummana kaai Shunti Bore hannu

Tree Tree Tree Herb Tree Tree Herb Climber Tree Tree Shrub Shrub Tree Tree Shrub Tree Herb Herb Herb Climber Tree Tree Climber Climber Climber Herb Shrub Tree Tree Herb Tree Herb Herb Shrub Tree Climber Shrub Climber Herb Shrub Shrub Shrub Shrub Shrub Herb Herb Tree Shrub Herb Shrub Shrub Tree Tree Shrub Shrub Tree Tree Tree Tree Tree Shrub Tree Tree Tree Climber Climber Shrub Climber Shrub Climber Tree Herb Tree

Fr Veg Fr Med Orn Fr Orn Veg Veg Veg Fr Orn Orn Med Orn Orn Med Med Med Fr Fr Fr Med Med Med Orn Med Orn Orn Med Orn Orn Veg Orn Fr Veg Fr Orn Veg Med Orn Med Orn Misc Orn Orn Med Veg Veg Veg Veg Fr Fr Orn Orn Misc Med Fr Fr Fr Orn Misc Misc Orn Orn Med Orn Orn Med Orn Med Med Fr


BHAT et al. – Homegardens plant of Karwar, India

categories of fruit and vegetable plants which together form only 33% of the species. 22% of the plants are mainly used for medicinal purposes. This is in contradiction to the general observation that food plants are the most common species in most home gardens throughout the world (Nair and Kumar 2006). The greater abundance of ornamental and commercial plants in the home gardens has been recognized as an indication of high levels of urbanization and modernization of the home gardening families (Karyona 1990; Drescher 1996). However, analysis of the socio-economic conditions of the home garden-owning families involved in the present study is needed to confirm this assumption.

CONCLUSION A floristic survey of 50 home gardens of 10 different villages of Karwar, Karnataka, India has shown that a total of 210 species belonging to 69 families occur in them. Shrubs are found in maximum numbers and ornamental plants form the major use category which is a preliminary indication of greater urbanization of the study area. Palms like areca and coconut are among the most common plants in these home gardens, like the home gardens of other regions of India such as Kerala, Assam and Andamans. Further studies are needed to ascertain the socio-economic and ecological functions and structural dynamics of these home gardens.

ACKNOWLEDGEMENTS The authors are grateful to all the home gardening families for their co-operation during the present study. Shivanand Bhat S. is also grateful to University Grants Commission of India for financial support in the form of a Minor Research Project and Principal, Government First Grade College, Karwar, Karnataka, for encouragement and facilities to carry out this work.

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REFERENCES Bhat KG. 2003. Flora of Udupi. Indian Naturalists, Udupi, Karnataka, India. Black GM, Somnasang P, Thamathawan S, Newman JM. 1996. Cultivating continuity and creating change: women’s homegarden practices in North-eastern Thailand – multicultural considerations from cropping to consumption. Agricult Human Val 13: 3-11. Cooke T. 1967. Flora of Presidency of Bombay, Vol I-III. Botanical Survey of India, Calcutta Das T, Das AK. 2005. Inventorying plant biodiversity in home gardens – A case study in Barak Valley, Assam, North East India. Curr Sci 89: 155-163. Drescher AW. 1996. Management strategies in African Homegardens and the need for new extension approaches. In: Heidhues F, Fadani A. (eds). Food Security and Innovations-Successes and Lessons learned. Peter Lang, Frankfurt. Fernandes ECM, Nair PKR. 1986. An evaluation of the structure and Function of tropical Homegardens. Agrofor Syst 21: 279-310 John J, Nair MA. 1999. Crop-tree inventory of the homegardens in southern Kerala. J Trop Agric 37: 110-114 Jose D, Shanmugaratnam N. 1993. Traditional homegardens of Kerala: A sustainable human ecosystem. Agrofor Syst 24: 203-213 Karyono. 1990. Homegardens in Jawa: their structure and function. In: Landauer K, Brazil M. (eds.) Tropical Homegardens, United Nations. University Press, Tokyo. Kumar BM, George SJ, Chinnamani S. 1994. Diversity, structure and standing stock of wood in the homegardens of Kerala in peninsular India. Agrofor Syst 25: 243-262 Kumar BM, Nair PKR. 2004. The enigma of tropical homegardens. Agrofor Syst 61: 135-152 Mendez VE, Lok R, Sommarriba E. 2001. Interdisciplinary analysis of homegardens in Nicaragua: micro-zonation, plant use and socioeconomic importance. Agrofor Syst 51: 85-96 Nair MA, Sreedharan C. 1986. Agroforestry farming systems in the homesteads of Kerala, Southern India. Agrofor Syst 4: 339-363 Nair PKR, Kumar BM. 2006. Introduction to homegardens. In: Kumar BM, Nair PKR. (eds). Tropical Homegardens: A time-tested example of sustainable agroforestry. Springer, Netherlands. Pandey CB, Latha K, Venkatesh A, Medhi RP. 2006. Diversity and species structure of homegardens in South Andaman. Trop Ecol 47 (2) : 251-258 Pandey CB, Rai RB, Singh L, Singh AK. 2007. Homegardens of Andaman and Nicobar Islands. Agrofor Syst 92: 1-22 Puskaran K. 2002. Homegardens in Kerala as an efficient agroecosystem for conservation and sustainable management of biodiversity. In: Watson JB, Eyzaguirre PB (eds.). Proceedings of the Second International Home Gardens Workshop, IPGRI, Rome. Shastri C M, Bhat DM, Nagaraja BC, Murali KS, Ravindranath NH. 2002. Tree species diversity in a village ecosystem in Uttara Kannada district in Western Ghats, Karnataka. Curr Sci 82: 1080–1084. Torquebiau E. 1992. Are tropical agroforestry homegardens sustainable? Agric Ecosyst Environ 41: 189-207.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 236-239

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150217

Short Communication: Rediscovery of a remnant habitat of the critically endangered species, Hopea sangal, in Pasuruan District, East Java, Indonesia SOEJONO Purwodadi Botanic Garden, Indonesian Institute of Sciences, Jl. Raya Surabaya-Malang, Km.65 Purwodadi, Pasuruan, East Java, Indonesia. Tel./fax: +62-341-426046, email: soejono59@gmail.com Manuscript received: 5 May 2014. Revision accepted: 17 June 2014.

ABSTRACT Soejono. 2014. Rediscovery of a remnant habitat of the critically endangered species, Hopea sangal, in Pasuruan District, East Java, Indonesia. Biodiversitas 15: 236-239. During recent exploration for surviving indigenous flora carried out in Pasuruan District, East Java, the endangered tree species, Hopea sangal Korth., has been rediscovered in a previously unknown location in East Java. The IUCN Red List of Threatened Species, 2012, stated that H. sangal is critically endangered, A1cd, B1+2c, C1, D ver 2.3. This discovery of H. sangal, and other supporting species that may still survive, can support the program of recovery of threatened plant species. At least for Pasuruan region, the remaining habitat, can be used as the core for H. sangal protection, thus H. sangal can breed naturally and sustainably. This information also can be used as one of the references or consideration tools for stakeholders to determine the priority of restoration policy. Key words: East Java, H. sangal, Indonesia, Pasuruan, rediscovered.

INTRODUCTION Dipterocarpaceae is one of the biggest tree families strictly confined to the tropics, with over 500 species in 14 genera in the world, most of which are confined to Asia. Dipterocarp species dominate on zonal red-yellow podzolic soils, altitudes below 1300 m asl., and rainfall >1000 mm per year (Purwaningsih 2004). There are up to 238 dipterocarp species in Indonesia (Purwaningsih 2004). According to Ashton (1982), the dipterocarps are distributed unevenly among Indonesia islands, because they are found mostly in the west of Wallace’s Line and the north-west in Sunda. Sumatra (106) and Borneo (267) are the two biggest islands with relatively high number of dipterocarp species, where they dominate the lowland forests in climates without a dry season or with less than four dry months (Ashton 1982; Purwaningsih 2004; Indrioko 2005; Rahayu 2008). They have produced most of the timber exported from Indonesia. They are also valued for their resin (Kusuma et al. 2013). Based on herbarium collections in Herbarium Bogoriense, it is known that the distribution of 57.7 % of Indonesian dipterocarp species is confined within 0-500 m altitude (Purwaningsih 2004). Each species is limited in its edaphic range. In Java, 10 species of dipterocarps have been recorded, two of which are species of the genus Hopea, H. celebica and H. sangal (Heyne 1950; Backer and Bakhuizen v.d. Brink 1963; Ashton 1982). However, it was stated long ago that the populations of H. sangal, were rarely found (Heyne 1950; Backer and Bakhuizen v.d.

Brink 1963). The article, which was published later, in 1982 by Ashton and 1994 by Wong, did not mention the distribution of H. sangal in East Java, Indonesia. Explorations for rare plants have been carried out in Pasuruan District, East Java as part of the thematic subprograms activities of Purwodadi Botanical Gardens, in period years 2009 to 2013. Entitled study of “Vegetation and Rehabilitation of Habitats”, the study has focused on remnant forest patches around springs. The study so far has found only one species of Dipterocarpaceae, and one mature tree, of H. sangal Korth. (Soejono 2013). The purpose of this study was to know in more details, the status and the conservation efforts of H. sangal, in East Java. Conservation status of H. sangal Ashton (2012) in IUCN, rated the status of H. sangal as critically endangered A1cd, B1+2c, C1, D ver 2.3. Based on literature and specimens in Herbarium Bogoriense, it is known that H. sangal occurred in East Java province in the past, only at Banyuwangi (1898), Malang (1934), Blitar (1935) (Kusumadewi 2013) and has never been recorded from Pasuruan. Bogor Botanical Gardens has conserved ex situ five individuals of H. sangal. However, all of these specimens came from Bangka Island, South Sumatra (Sari et al. 2010), while Purwodadi Botanic Garden has no living collection (Narko et al. 2013). Because the diversity of Hopea species in Java is relatively low and also its distribution is limited (Heyne 1950; Backer and Bakhuizen v.d. Brink 1963; Ashton 1982; Kusumadewi 2013), the threat of its sustainability becomes high. Therefore this


SOEJONO – Rediscovery of Hopea sangal in Pasuruan, East Java

species should be a priority for conservation, both ex situ, for example in the Botanical Gardens, as well as, in situ, especially in their natural remaining habitat. In the absence of immediate conservation action, this plant has remained rare, endangered, critically endangered or even, until our rediscovery, possibly extinct in Java in the wild. It is important to note that currently, Pasuruan is recorded as a new location for the discovery of the critically endangered species H. sangal, Dipterocarpaceae in its remnant habitat. Plant identification The name of H. sangal Korth., family Dipterocarpaceae was obtained from the process of identifying based on several literature (Heyne 1950; Backer and Bakhuizen v.d. Brink 1963; Keng 1969; Asthon 1982; Wong 1994). Identification results have been verified by an expert of Dipterocarpaceae, Prof. Peter S. Ashton, Royal Botanic Gardens Kew, Richmond, UK. He ensured that the specimen was H. sangal. One of the important characters of the H. sangal is the fruit that has two long wings and calyx free or nearly so (Keng 1969; Asthon 1982) (Figure 1). Figure 1a, indicates germinating seeds, which was taken from under the parent tree which is believed to be the H. sangal in the natural habitat. Figure 1b shows seedlings of H. sangal. When the picture was taken, the seedling age was about three months old. The size of seedling varied, because seedling growth is determined by many factors such as the media and the adequacy of water and nutrients. It's just reassuring to us that this limited seed, can be germinated, and the seedlings are relatively easy to maintain, as preparation for the main purpose, conservation. Figure 1c shows the mature tree of H. sangal, which is dark, flaky-barked and buttressed, while Figure 1d, shows the leaves. The leaves are ovate or oblong, base obtuse, or more or less equal, without intramarginal nerve, apex rather long acuminate, 6-14 cm by 3-6 cm; nerve 1012 pairs, slightly curved, tertiary nerves very slender, scalariform, midrib slender, prominent beneath applanate above; drying leaf dark grey–brown; petiole 0,5-1,5 (Heyne 1950; Backer and Bakhuizen v.d. Brink 1963; Keng 1969; Asthon 1982; Wong 1994). There is no available photograph of flowers of H. sangal. Field and biogeographical observations Pasuruan, where the remnant habitat of a critically endangered H. sangal was rediscovered, is one of the districts in East Java province, Indonesia (Figure 2). Figure 2 shows that, the previous discovery of H. sangal, is located in the three districts that are closer to the south of Java sea, while the rediscovery one is located closer to the north of Java sea. The plot in this new location was a mere one hectare of degraded forest on moist soil near a spring. The soil in nearby growing plants was moist, near the springs, but not flooded. There were leave litter, steep slope of about 450, pH 5.9 to 6.4, altitude 522 m above sea level. Only nine tree species were found in the plot: Ficus sp., Sterculia coccinea Jack, Pometia pinnata J.R. & G. Forst., Artocarpus elasticus Reinw. ex Blume, Alstonia scholaris (L.) R. Br., Dysoxylum gaudichaudianum (A.Juss.) Miq., Tabernaemontana sphaerocarpa Blume, Persea americana

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Mill. and Artocarpus heterophyllus Lam. (Soejono 2013). The last two of them are introduced as orchard trees. As a whole, the indigenous taxa indicate that the remnant patch possibly represents original vegetation. Beside, this patch of forest remains is at the site of a spring. Especially in East Java and Bali, customary, from generation to generation, locations around the spring are more maintained than other places. Springs are often the site of sacred groves throughout Eurasia, from Japan through Asia and into Europe to Ireland. And they are often the only place where original vegetation still survives (Ashton 2014, personal communication). These forest formations are confined to a seasonal wet climate, seasonal climate with 14 dry (<100 mm rainfall) months, and with 4-7 dry months respectively. H. sangal, a species most commonly found, in that climate, in flood-free land near streams, on clay rich soils on river banks, scattered on fertile clay hill sides to 500 m, occurs scattered as rare individuals in mixed dipterocarp forest. It is confined to peninsular Myanmar and Thailand in seasonal evergreen dipterocarp forest (Ashton 1982; Asthon 2014 personal communication). Purwodadi Botanical Garden, 15 km from the location of plot and where there is a meteorological station, has five dry months (Arisoesilaningsih and Soejono 2001). The isolated locations of H. sangal in seasonal East Java seem to be suitable for refuges. At least for Pasuruan area, the remaining habitat which may be still supported by the environment and the various macro and microorganisms, can be used as the core for H. sangal protection, thus H. sangal can breed naturally and sustainable. This information can be used as one of the references or consideration tools by stakeholders for determining the priority of restoration or conservation policy. A priority for future exploration must be to search for survivors in past recorded locations and to document other surviving species at them (Morley 2012). The single surviving mature H. sangal is about 30 m high, 1.10 m diameter, with narrow crown. Its bark is flaky and blackish, exudes dammar (resin) which characteristically crystallizes into white coxcomb-like accretions. It was observed that H. sangal had produced fruits although in small amounts. The evidence was by finding of seedlings on the land, which is not far from that single tree. Some seedling specimens have been prepared in the Purwodadi Botanical Gardens for ex situ conservation. Randomized soil samples were taken and analyzed in the Soil Chemistry Laboratory, Brawijaya University in Malang, East Java, Indonesia. The results are listed in Table 1. Based on Table 1, soil fertility levels around H. sangal are moderate to quite fertile. The indicators, among others, are: pH H2O > pH KCl; C organic > 2%; C/N ratio (11) in the range of 10-15; cation exchange capacity (83.48) relatively high. The soil is physically a humic clay loam (Hardjowigeno 2003; Sarief 1984; Sofiah 2013). Preliminary information about the condition of the soil in its natural habitat is very important to put forward as a reference, if the critically endangered species, H. sangal, is to be conserved. Please be aware that conservation of H. sangal not just aim to save it from extinction and


B I O D I V E R S IT A S 15 (2): 236-239, October 2014

238

B

A

D

C

Figure 1. Germination, seedling, mature tree and leaves of H. sangal Korth. A. Germinated fruit; B. Seedling, about three months old.; C. Mature tree; D. Leaves

A

D

C B

Figure 2. Location of rediscovery of a critically endangered species, H. sangal, Dipterocarpaceae, in Pasuruan District, East Java, Indonesia, A. Current rediscovery, Pasuruan District, year 2014, and previously H. sangal found, B. Banyuwangi District, year 1898; C. Malang District, year 1934; and D. Blitar District, year 1935.

Table 1. Resultsof analysis of soil samples taken from habitat around H. sangal

No. Lab Code TNH345 Soil

pH 1:1 C N Total C/N P.Bray1 H2O KCL 1N Org. 56

48

225

Note: CEC= Cation exchange capacity

021

11

mg/kg 816

K

Na

Ca

Mg

Base Number Texture satu- Sand Silt Clay of bases d ration me/100 g 37.19 % Silty007 213 22.29 12.70 83.48 45 19 61 20 clay NH4OAC1N pH:7

CEC


SOEJONO – Rediscovery of Hopea sangal in Pasuruan, East Java

preserve diversity but may also to develop it as an economic plant because of its potential as a producer of wood. Wong, (1994), mentioned that H. sangal is important source of merawan timber. Determining the location for the two measures as mentioned above need to consider the basic needs and requirements to grow of the critically endangered species, H. sangal. Further management This information is expected to be used as a reference by stakeholders for further management of H. sangal, both for conservation and cultivation purposes especially in Pasuruan district and other similar areas. We should take steps to ensure that this tree remains stable in its habitat, and that the area is also used as one part of a network of protection areas for there instatement of H. sangal, either naturally or by human support. Another important reference in an attempt to restore the critically endangered tree, H. sangal, and convince to stakeholders is the publication of Philipson et al. (2012). They reported the results of their research on H. sangal that it had the highest growth rates in the low light, and very high growth rates in the other light treatments. It had the fastest diameter, height and biomass SGR in the low-light treatment, had the fastest height SGR in the low and middle light treatment, and the second highest height SGR in the high light treatment. Moreover, H. sangal also had lower mortality rate than 14 other dipterocarp species.

ACKNOWLEDGEMENTS The author would like to thank Prof. Dr. Peter Ashton for verification of identity, information and discussion, and Dr. Yulita Kusumadewi for information concerning the herbarium specimens in the Biological Research Center of Bogor; Sugiyana, Haryono, Matrani and Roib Marsono who helped the activities in the field, and Dwi Narko for assisting in the identification of trees grown around the springs.

REFERENCES Arisoesilaningsih E, Soejono. 2001. Is Purwodadi Botanic Garden a Dry Climate Hortus? In: Arisoesilaningsih E et al. (eds); proceeding of

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national seminary on conservation and utilization of plant diversity in dry land. Cooperation between Purwodadi Botanical Gardens, and Brawijaya University Malang. Purwodadi Botanical Garden, Indonesian Institute of Sciences, 30 January 2001. [Indonesian]. Ashton PS. 1982. Dipterocarpaceae. Flora Malesiana. Series I Spermatophyta, Flowering Plants. 9 (2): 237-552. Ashton PS. 2012. Hopea sangal. IUCN 2012. IUCN Red List of Threatened Species. Version 2012.2. www.iucnredlist.org Backer CA, Bakhuizen van den Brink Jr RC. 1963. Dipterocarpaceae in Flora of Java I. NVP Noordhoff, Groningen, The Netherlands. Hardjowigeno S. 2003. Soil Science. Akademika Pressindo. Jakarta. [Indonesian]. Heyne K. 1950. De Nuttige Planten van Indonesie. Deel I. 3e Druk. NV Uitgeverij W Van Hoeve ‘s-Gravenhage/ Bandung. Indrioko S. 2005. Choloplast DNA variation In Indonesian Dipterocarpaceae- Phylogenetic, Taxonomic, and Population Genetic Aspects. Cuvillier verlag. Internationaler Wissenschaftlicher fachverlag, Gottingen. Keng H. 1969. Dipterocarpaceae, in Malayan Seed Plants. Universty of Malaya Press. Kuala Lumpur. Kusuma YWC, Risna RA, Ashton PS. 2013. Rediscovery of the supposedly extinct Dipterocarpus cinereus. Oryx 47: 324. Morley RJ. 2012. A review of the Cenozoic palaeoclimate history of Southeast Asia. In: Gower et al. (eds). Biotic evolution and environmental change in Southeast Asia. The Systematics Association Special Volume 82: 79-114, Cambridge University Press, Cambridge. Narko D, suprapto A and Lestarini W. 2013. An Alphabetical List of Plant Species Cultivated in The Purwodadi Botanic Garden. Indonesian Institute of Sciences, Purwodadi Botanic gardens. Purwodadi, Pasuruan, East Java. Indonesia. Philipson C, Saner PG, Marthews, TR, Nilus R, Reynolds G, Turnbull LA, Hector A. 2012. Light-based Regeneration Niches: Evidence from 21 Dipterocarp Species using Size-specific RGRs. Biotropica 44: 627– 636. Purwaningsih. 2004. Ecological distribution of Dipterocarpaceae species in Indonesia. Biodiversitas 5 (2) : 89-95. [Indonesian]. Rahayu EMD. 2009. Ex Situ Conservation of Dipterocarpaceae in Bogor Botanic Garden. The Indonesian Botanic Gardens Bulletin 12 (2): 6977. Indonesian] Sari R, Ruspandi, Ariati SR. 2010. An Alphabetical List of Plant Species. Center for Plant Conservation, Bogor Botanic Gardens. Bogor. Sarief S. 1984. Soil fertility and fertilization of agricultural land. Pustaka Buana. Bandung. [Indonesian]. Sofiah. 2013. Ecology and Bioprospecting of Bamboo in Nature Central Park (TWA) Mount Baung, Pasuruan, East Java. [Thesis]. Post graduate Program. Bogor Agricultural University. Bogor. [Indonesian]. Soejono. 2013. Identifying Jempina (Hopea sangal Korth.) and Their Remaining Habitat Around Springs in the Southern Area, District of Pasuruan. In: Noor et al. (com.). Proceedings of the 3rd annual Basic Science International Conference 2013. Faculty of Mathematics and Natural Sciences, University of Brawijaya. April, 16-17th, 2013. Wong WC. 1994. Hopea sangal Korth. In: Soerianegara I, Lemmens RHMJ. (eds). Plant Resources of South-East Asia, Timber Trees: Major Commersial Timbers Trees 5 (1): 253. Prosea, Bogor.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 240-244

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150218

Short Communication: Effect of skid trails on the regeneration of commercial tree species at Balah Forest Reserve, Kelantan, Malaysia ♼

NOORAIMY RAZALI, MOHD HASMADI ISMAIL , NORIZAH KAMARUDIN, PAKHRIAZAD HASSAN ZAKI Faculty of Forestry, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia. Tel.: +60389467220, Fax.: +60389432514, ♼ email:_mhasmadi@upm.edu.my. Manuscript received: 18 July 2014. Revision accepted: 14 August 2014.

ABSTRACT Razali N, Ismail MH, Kamarudin N, Zaki PH. 2014. Effect of skid trails on the regeneration of commercial tree species at Balah Forest Reserve, Kelantan, Malaysia. Biodiversitas 15:240-244. Skidding operation has been reported as one of the factor to forest soil degradation and vegetation disturbance. Assessing tree regeneration by the effect of the skid trail from harvest operation is important to determine the recovery rate of the forest stand. A study was conducted to accomplish the following objectives, (i) to measure the tree regeneration rates at different distance from skid trails, and (ii) to evaluate the dominance and species diversity of regenerated trees. A total of five plots with size of 50 m by 2 m were established in two skid trails of natural forest that has been logged in 2012. Each plot contains five sub-plots of 2 m by 2 m in different locations namely skid track, edge and forest. The number of seedlings and saplings, species richness and diversity, and dominance regeneration were analyzed. Results showed that the number of species regeneration was not significantly different in both skid trails. For skid trail 1 the number of seedling and saplings was highest on skid trail tracks (mean species diversity = 0.45). Meanwhile skid trail 2 showed the greatest species regeneration at edges (mean species diversity =0.65). Frequency value for Elateriospermum tapos was high due to the existence of mother tree in the area that provides a great number of seedlings. The dominance regeneration in both skid trails originated from non-dipterocarp families. There were 42 non-dipterocarp seedling and saplings in skid trail 1, and 182 in skid trail 2. While only 2 dipterocarp seedling and saplings in skid trail 1, and 8 in skid trail 2. Enrichment planting is suggested as dipterocarp species have low growth rate compared to the non-dipterocarp species. Key words: Malaysia, species diversity, skid trails, tree regeneration.

INTRODUCTION Roads have become prominent landscape features in forest concession. Road construction is important in assessing any area in the forest. The effect of a road upon the environment is complex, and includes disturbance during construction, and pollution both from the road material itself and from the traffic of an established road (Angold 1997). In Malaysia several studies of forest road impacts have been reported by Mohd Hasmadi and Norizah (2010), Pinard et al. (2000), Kamaruzaman and Nik Muhammad (1992), Kamaruzaman (1988). However no studies have been done on skid trails. A skid trail is a temporary track to extract logs from felled trees to log a forest stand and requires no road construction. A forest skid trail is created without earthworks to give access for a skidding machine to reach a log. Frequent passes at similar trails may cause severe impacts to the soil and vegetation (Kamaruzaman and Nik Muhammad 1992). The impacts on forest vegetation predominantly occur after frequent machinery passes during the timber extraction operation. However, an impact to the soil surface is supposedly minimal since there are no earthworks (Pinard et al. 2000). Nevertheless, Demir et al. (2007) reported that back and forth passes by particular skidding

machine to take timber from stump site into identical exit points still originate impacts to the soil surfaces. In addition, Wan Mohd and Mohd Paiz (2003) and Dykstra and Heinrich (1996) pointed out that trails clearance by skidding machine creates impacts and damages to residual vegetation. At the end of timber harvesting operation, the trail is left out and residual vegetation starts. In fact, natural forest can sustain its valuable species through an effective regeneration system. Natural regeneration of forest species ensures their survival, but some species have very small populations of seedlings. According to Marcus and Robbin (2003), the natural regeneration in the forest is often very poor, especially for the desirable or commercial species. Post-harvest assessment on the skid trails is required to determine the regeneration potential of the forest and to design appropriate silvicultural treatments. On the other word, without any silvicultural treatment it is possible that the damage and impact is retained and no regeneration occurs. Therefore, the objectives of this study are to measure the tree regeneration rates at different distances from the skid trails, and to evaluate the dominance and species diversity of the regenerated seedlings and saplings.


RAZALI et al. – Tree regeneration at Balah Forest, Malaysia

Materials and Methods Description of study area This study area is located at Compartment 47, Balah Forest reserve in Kelantan state, Malaysia (Figure 1.A.). The natural forests are owned by the Kelantan State Economic Development Corporation (SEDC) and cover an area of 239 ha. This compartment was harvested since 2010, and completely closed from timber harvesting operation in 2012. The second cutting will be commenced after 30 years later under selective management system (SMS) practice. The length of skid trails constructed is about 1640 m/ha. The system practiced for the whole operation in this compartment was conventional ground base timber harvesting. Plot establishment and data collection A total of five sampling plots with size of 50 m by 2 m were established at two abandoned skid trails in order to estimate the intensity of expected regenerated species after skidding operation. The sampling plots were 100 m apart, with five parallel subplots each sized 2 m x 2 m (4 m2), covering the tracks of skid trail (subplot 1), the edges of skid trail (subplot 2) and forests (subplot 3). The distance of each plot is 100 m to cover the regenerated species along the alignment of abandoned skid trails from the exit points of skid trails, the middle of skid trails, and the end which is the farthest point of skid trails from exit points. Meanwhile the distance of each subplot is 10 m. Subplot 1 lays in between subplot 2 and 3 which vegetation is completely removed and have wide canopy opening. Vegetation in subplot 2 is expected to be

241

moderately disturbed subjected to unexpected skidding operation occurred out of the original planned skid trails. Subplot 3 is undisturbed areas adjacent to skid trail tracks and edges and serve as baseline to compare the status of regeneration rate occur within subplot 1 and subplot 2. Figure 1.B. illustrates the layout of sampling plots and its subplots establishment for trees regeneration collection. Seedlings with height >0.05 m, and saplings heights from 1.5 cm to 10 cm in diameter size were measured, and species identification was conducted in Herbarium of Faculty of Forestry, University Putra Malaysia. The regenerated species collected are woody plants of both dipterocarp and non dipterocarp species. Two index were measured in this study to estimate regeneration rate namely Shannon diversity index (eq. 1) by Shannon (1948) and species richness index (eq. 2) by Menhinick (1964). ….................................……… (1) Where, H1 is Shannon’s index of species diversity, n1 is importance value index of species i, and N is importance value index of the population. …...............................…………………… (2) Where, d is the species richness index, S is the number of species, and n is the number of individuals.Both indexes were tested by two-way analysis of variance (ANOVA) for differences in tree regeneration among various tree species.

B

A

Figure 1. A. Location of study area (compartment 47) in Kelantan state. B. Layouts of sampling plots and subplot of subplot 1, 2 and 3.


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15 (2): 240-244, October 2014

Results and Discussion A total of 150 seedlings and 93 saplings of 17 species from 15 families were recorded from two skid trails. Results showed that the number of species regeneration were not significantly different in both skid trails. For skid trail 1 seedlings and saplings are found to be greater on skid trail tracks with mean recorded for species diversity are 0.45, than edges and adjacent forests (Figure 2). Meanwhile skid trail 2 shows a greater species regeneration at edges with mean recorded are 0.65. A total of 43 seedlings and saplings were found in skid trail 1, while a total of 190 seedlings and saplings were found in skid trail 2, respectively. A topographical condition is probably influence for seedlings regeneration in this area. It observed that when slope become steep, regeneration became lesser. Skid trail 1 has lower slope where the trail move downwards to the hill. This indicated by a result where regeneration is higher on the track compared to skid trails 2 because the trails is located or move toward upward to the hill. Table 1 shows the ANOVA results for both skid trails (skid trail 1 and skid trail 2) on the different location (Track, edge and forest). The P value of Shanon’s index was 0.76 on the skid trails, while on the track, edge and forest was 0.70, respectively. Results showed that, the diversity of tree species were not occurred in both skid trails, and the diversity of species are not significant. This has resulted the species richness on skid trail 1 and 2 does not differ from each other. The species diversity calculated by using the Shanon index in skid trail 1 and 2 were shown in Figures 3 and 4. In skid trail 1, the highest diversity is Eugenia sp. 0.44, followed by Macaranga sp. 0.31 and Canarium sp. 0.25. Both Cinnamomum sp. and Goniothalamus sp. gave the same results 0.22. Nephelium sp. diversity was 0.14 while the other species, Pometia sp., Ficus sp., Vitex sp., Anthocephalus chinensis, Hopea pubescens, Baccaurea kunstleri, and Mangifera foetida share the similar value 0.09.

Table 1. ANOVA results for two skid trails and different locations. Source

Category

Mean values

F

P Level of value significant

Shanon’s index Area Location

Skid trail 1 Skid trail 2 Track Edge Forest

0.563 0.627 0.600 0.916 0.270

0.089 0.768

NS

2.957 0.70

NS

Species richness Area

Skid trail 1 0.063 1.703 0.203 NS Skid trail 2 -0.170 Location Track -0.260 1.338 0.280 NS Edge 0.045 Forest 0.055 Note: *0.05 level; **0.01 level; *** 0.001 level; NS- non significance

In skid trail 2, Elateriospermum tapos is the highest diversity value with 1.41, followed by Goniothalamus sp. 0.13, Macaranga sp. such as Macaranga lowii and Macaranga curtisii 0.21 and Eugenia sp. 0.19. The diversity for Shorea sp. is 0.1, Canarium sp. 0.07, while Cinnamomum sp. 0.02. Other species such as Durio sp., Artocarpus sp., Anthocephalus chinensis, Intsia sp. and Baccaurea kunstleri, shared the similar value with 0.01. By observation probably the major cause for the high number of diversity for some species in the area is due to the existing of a mother tree. The mother trees produced seeds throughout the year and disperse within the region. The abundance population of tree seedlings and saplings in this forest showed that the status of regeneration for every species is varies. This may be due to microclimate variation or poor regeneration capacity of the seed (Karen 1999; Guariguata et at. 1995) Dominant regeneration is focused at the dipterocarp and non-dipterocarp families. Figure 5 was presents the total number of tree from dipterocarp and non-dipterocarp tree. There are 42 non-dipterocarp trees in skid trail 1, and 182 non-dipterocarp trees in skid trail 2. While there are only 2 dipterocarp trees in skid trail 1, and 8 dipterocarp trees in skid trail 2. Non-dipterocarp trees are light demanding species that able to develop faster, especially in high penetration of sunlight. While shades tolerant species of dipterocarp trees need to grow under the canopy area during the adolescent stage and high light penetration will effects their growth at early stages. The tolerant of other species can generate, adapt and survive faster compare to the dipterocarp species. The flowering time of this species almost successful and seeds can be collected throughout the year. The flowering pattern of the dipterocarp trees usually irregular and unpredictable which make difficult to collect sufficient seeds for raising the seedlings (Sasaki 2008), and a few species showed the unusual flowerings during gregarious flowering year (Sasaki et al. 1979). Successful forest regeneration is critical for the sustainable management of natural forests. As conclusion the numbers of species regeneration were not significantly different in both skid trails. For skid trail 1 seedling and saplings are found to be greater on skid trail tracks with mean recorded for species diversity are 0.45, than edges and adjacent forests. Meanwhile skid trail 2 shows a greater species regeneration at edges with mean recorded are 0.65, respectively. The diversity of tree species were not occurred in both skid trails, and the diversity of species are not significant. This has resulted the species richness on skid trail 1 and 2 does not differ from each other.In skid trail 1, the highest diversity value is Eugenia sp. 0.44, followed by Macaranga sp. 0.31 and Canarium sp. 0.25. Both Cinnamomum sp. and Goniothalamus sp. gave the same results 0.22. Nephelium sp. diversity was 0.14 while the other species, Pometia sp., Ficus sp., Vitex sp., Anthocephalus chinensis, Hopea pubescens, Baccaurea kunstleri, and Mangifera foetida share the similar value 0.09.In skid trail 2, Elateriospermum tapos is the highest diversity value 1.41, followed by Goniothalamus sp. 0.13, Macaranga sp. 0.21 and Eugenia sp. 0.19. The diversity for


RAZALI et al. – Tree regeneration at Balah Forest, Malaysia

Figure 2. Mean of regeneration at skid trail at Track, Edge and Forest.

Dipterocarps Non-Dipterocarps

B. kunsteri

Intsia

A. chinensis

Skid trail 2

B. kunsteri

H. pubescens

A. chinensis

Nepheliu

Eugenia

Vitex

Fucus

Pometia

Cinnamomum

Canarium

Macaranga

Skid trail 1

Gonothalamus

Shorea

Figure 4. Species diversity in skid trail 2.

Skid trail 1

Eugenia

Cinnamomum

Forest

Canarium

Edge

Artocarpus

Track

E. tapos

Forest

Gonothalamus

Edge

Macaranga

Track

Eugenia

Skid trail 2

Skid trail 2

Durio

Skid trail 1

243

Track

Edge

Forest

Track

Edge

Forest

Figure 3. Species diversity in skid trail 1.

Figure 5. Dominant tree family in skid trail 1 and 2.

Shorea sp. is 0.1, Canarium sp. 0.07, while Cinnamomum sp. 0.02. Other species such as Durio sp., Artocarpus sp., Anthocephalus chinensis, Intsia sp. and Baccaurea kunstleri, share the similar value 0.01. The dominant regeneration in both skid trails is a non-dipterocarp family. There are 42 non-dipterocarp trees in skid trail 1, and 182 non-dipterocarp trees in skid trail 2. While there are only 2 dipterocarp trees in skid trail 1, and 8 dipterocarp trees in skid trail 2. Silvicultural treatment should be conducted on the disturbed area. Enrichment planting is suggested as dipterocarp rainforest species have low growth through natural regeneration (Okuda et al. 1997; Kettle 2010). The numbers of species regeneration were not significantly different in both skid trails. For skid trail 1 seedling and saplings are found to be greater on skid trail tracks with mean recorded for species diversity are 0.45, compared to edges and adjacent forests. Meanwhile skid trail 2 shows a greater species regeneration at edges with mean recorded are 0.65. The diversity of tree species in both trails was not significant in this study. This has resulted the species richness on skid trail 1 and 2 does not differ from each other. The dominant regeneration growth in both skid trails is a non-dipterocarp family. There are 42 non-dipterocarp trees in skid trail 1, and 182 nondipterocarp trees in skid trail 2. While there are only 2 dipterocarp trees in skid trail 1, and 8 dipterocarp trees in

skid trail 2. Enrichment planting and complete restorations are likely to be the preferable strategy to increase the biodiversity and long economic value of the tropical rainforest.

REFERENCES Angold PG. 1997. The impact of a road upon adjacent heathland vegetation: effects on plant species composition. J Appl Ecol 34: 409417. Demir M, Makineci E, Yilmaz E. 2007. Investigation of timber harvesting impacts on herbaceous cover, forest floor and surface soil properties on skid road in an oak (Quercus petrea L.) stand. Build Environ 42: 1194-1199. Dykstra DP, Heinrich R. 1996. FAO model code of forest harvesting practices. Food and Agricultural Organization of United Nation, Rome, Italy. Guariguata MR, Rheingans R, Montaghini F. 1995. Early wood invasion under tree plantation in Costa Rica:implications for forest restoration. Rest. Ecol. 3:252-260. Jusoff K. 1991. Effects of tracked and rubber-tyred logging machines on soil physical properties of the Berkelah Forest Reserve, Malaysia. Pertanika 14(3): 265-276. Kamaruzaman J. 1988. Soil compaction from off-road transportation machine on tropical hill forest land. Pertanika 11 (1): 31-37. Kamaruzaman J. Nik Muhammad M. 1992. An analysis of soil disturbance from logging operation in a hill forest of Peninsular Malaysia. J For Ecol Manag 47: 323-333.


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Karen DL. 1999. Factors limiting tropical rain forest regenerartion in abandoned pasture:sedd rain, seed germination,microclimate and soil. Biotropica 31 (2): 229-242. Kettle CJ. 2010. Ecological consideration for using dipterocarps for restoration of lowland rainforest in Southeast Asia. Biodiv Conserv 19:1137-1151 Marcus A, Robbins J. 2003. Forest Reproductive Material: Future opportunities and challenges. XII World Forestry Congress, 2003, Quebec City, Canada. Menhinick EF. 1964. A comparison of some species diversity indices applied to samples of field insects. Ecology 45: 859-861. Mohd Hasmadi I, Norizah K. 2010. Soil disturbance from different mechanized harvesting in hill tropical forest, Peninsular Malaysia. Journal of Environmental Science and Engineering 4(1): 34-41. Okuda T, Kachi N, Yap SK, Manokaran N. 1997. Tree distribution pattern and fate of juveniles in a lowland tropical rain forest-implications for regeneration and maintenance of species diversity. Plant Ecol. 131:155-171

Pinard MA, Barker MG, Tay J. 2000. Soil disturbance and post logging recovery on bulldozer paths in Sabah, Malaysia. J For Ecol Manag 130: 213-225. Sasaki S, Tan CH, Zolfatah AR. 1979. Some observations on unusual flowering and fruiting of Dipterocarps. Malaysian For 42: 38-45 Sasaki S. 2008. Physiological characteristics of tropical rain forest tree species: a basis for the development of silvicultural technology. Proc Jpn Acad Ser B Phys Biol Sci 84 (2):31-57. Shannon CE. 1948. A mathematical theory of communication. Bell Syst Tech J 27: 379-423. Wan Mohd SWA, Mohd Paiz K. 2003. Alternatives reduced impact logging techniques in Peninsular Malaysia. In: Proceedings of International Expert Meeting on the Development and Implementation of National Codes of Practices for Forest HarvestingIssues and Options. Kisazaru City, Chiba prefecture, Japan, 17-20 November 2003.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 245-250

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150219

Short Communication: Flora, life form and chorological study of Quercus brantii habitat in Emamzadeh Abdullah woodland, Iran 1,

SINA ATTAR ROSHAN ♥, MEHDI HEYDARI

2

1

Department of Environment, College of Agriculture and Natural Resources, Ahvaz Branch, Islamic Azad University, Ahvaz, Khouzestan, Iran. Tel.: +9809167246447, ♥email: sina_2934@yahoo.com 2 Department of Forestry and Rangeland, Faculty of Agriculture and Natural Resources, Ilam University, Iran. Manuscript received: 21 April 2014. Revision accepted: 1 June 2014.

ABSTRACT Roshan SA, Heydari M. 2014. Flora, life form and chorological study of Quercus brantii habitat in Emamzadeh Abdullah woodland, Iran. Biodiversitas 15: 245-250. Flora in each region identified an important role in maintaining national reserves of each country to play. Iran is one of the most important centers of plant diversity in to account old world comes closer to 22% of its 8000 plant species are exclusively. Emamzadeh Abdullah forest is located in southeastern Khouzestan province, Iran. The field data were obtained using 70 sample (20m x 20m) plots in a systematic random grid. The attributes include tree and shrub species type, number of each species and canopy coverage, which were recorded by measuring their small and large crown diameters in each sample plot. In order to record the herbaceous species, the Whitaker’s snail plot method was applied, which resulted in 64 m² of the minimum plot area. In this study, 154 plant species recognized from the area were identified and collected to 106 genera and 38 belong to the family. Families by Papilionaceae with 20 species, Poaceae with 20 species, Asteraceae with 19 species and Lamiaceae with 12 species and large plant families that total 46.1% of all species are included. Investigation of life forms species shows that Hemicryptophyte are the most important. Key words: Diversity, flora, Khouzestan, life forms, plant geography.

INTRODUCTION Iran with about 1.65 million square kilometer surface area is a large country and after Turkey is the richest country of plant diversity in the Middle East (White and Leonard 1991). This country, one of the centers of plant diversity is considered old world so that nearly 22% of the 8000 plant species of flora are endemic (Ghahreman 1994). The life form of any plant is fixed that is developed based on the morphological adaptation of plants to environmental conditions. The life form differences in various societies make up the basis of their structure. Different classification of the life form there, but among them Raunkier system is used most. This system has been built based on vegetative bud’s position after spending the season unfavorable for growth and plants are classified in six main groups: Phanerophyte, Chamaephyte, Hemicryptophyte, Cryptophyte, Therophyte and Epiphyte (Asri 1999). Life form also depends on genetics and environmental factors; because the environment can be vital in shaping different forms of plants. According to these, plant communities in different climates can be of different form. Spectrum of dominant life forms in a climate, represent how the plants adaptation on the climate is special. Ecological range of each plant species is unique and a certain amount of changes will endure in environmental conditions. Field distribution of species may be limited or wide (Asri 1998).

Vegetation of each region has one of the most important figures and phenomena of nature and the best guiding judgments about the ecological factors in the region. This study is very useful for planning with reference to protection, reclamation and management of valuable species. This study has been done for the first time in this area and its main goals are accurate recognition of plant species, especially local plants and to check and review the chorotype and life form.

MATERIALS AND METHODS The study area woodland is located in Emamzadeh Abdullah forest, in Baghmalek, Khouzestan province, Southwest Iran, namely in Zagros region; between (31°41ʹ45ʺ) and (31°42ʹ15ʺ) eastern longitude and (50°18ʹ20ʺ) and (50°19ʹ15ʺ) northern latitude (Figure 1). The considered study site covers an area of 216 hectares. The altitude of the study area is from 1400 to 2136 meters above sea level. According to statistics in Eizeh weather station, average precipitation and the mean annual temperature are 576.4 mm and 19.1°C, respectively. In terms of climate in this area based on coefficient method drought, de Martonne (1926), with semi-arid climate and is based on the method of Emberger (1955) coefficient (60.86) is placed in the range of sub-humid climate areas.


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IRAN

Emamzadeh Abdullah forest

Khouzestan Province

Baghmalek

Figure 1. Location of the study site in Baghmalek of Emamzadeh Abdullah woodland, Khouzestan province of Iran.

The field data were obtained using 70 sample plots (20 m x 20 m) in a systematic random grid. The attributes including tree and shrub species, number of each species and canopy coverage, which were recorded by measuring their small and large crown diameters in each sample plot. In order to record the herbaceous species, the Whitaker’s nested sampling plot method was used, and minimum area 64 m² was determined. In the intercept, the area and the species number for each plot were drawn toward X an Y axis, respectively then, in the intersection point where the curve became horizontal, a vertical line was drawn toward the X- axis (Muller-Dombois and Ellenberg 1974). Plant samples were identified in the herbarium of Islamic Azad University in Ahwaz, Iran and by using valid references such as Flora Iranica (Rechinger 1998), Flora of Iraq (Townsend et al. 1960-1985), Flora of Turkey (Davis 1965-1985), Flora of Iran (Assadi et al. 1988-2001), Flora of Khuzestan (Mozaffarian 1999), Flora of Ilam (Mozaffarian 2007), and Flora of Iran (Ghahreman 1975-1999). The life forms of plants were determined by Raunkier method (Raunkiaer 1934). The distribution of plant species was determined using the above flora. Geographical distribution

of species was determined based on vegetative areas classified by Zohary (1963, 1973) and Takhtajan (1986).

RESULTS AND DISCUSSION In this study 154 plant species from the area in 2013 were recognized that was identified under 106 genera and 38 families. List of families and species in the study area, life forms and their distribution are presented in Table 1. The families viz. Papilionaceae (20 species), Poaceae (20), Asteraceae (19), and Lamiaceae (12) were the most important. These families include a total of 46.1% of all the species and each of the families Anacardiaceae, Campanulaceae, Euphorbiaceae, Hypericaceae, Plantaginaceae, Thymelaeaceae, Solanaceae, Papaveraceae, Polygonaceae and Rubiaceae include two species and Amaryllidaceae, Aceraceae, Gentianaceae, Valerianceae, Verbenaceae, Fagaceae, Caprifoliaceae, Lythraceae, Capparidaceae, Rhamnaceae, Urticaceae and Zygophyllaceae include only one plant species respectively. Number of plant species belonging to each family is shown in Figure 2.


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Table 1. List of family, species, life form and chorotypes of Emamzadeh Abdullah forest, Iran Family Aceraceae Amaryllidaceae Anacardiaceae Anacardiaceae Apiaceae Apiaceae Apiaceae Apiaceae Apiaceae Apiaceae Apiaceae Apiaceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Asteraceae Boraginaceae Boraginaceae Boraginaceae Boraginaceae Campanulaceae Campanulaceae Capparidaceae Caprifoliaceae Caryophyllaceae Caryophyllaceae Caryophyllaceae Caryophyllaceae Convolvulaceae Convolvulaceae Convolvulaceae Cruciferae Brassicaceae Cruciferae Cruciferae Cruciferae Cruciferae Cruciferae Dipsacaceae Dipsacaceae Dipsacaceae Euphorbiaceae Euphorbiaceae Fagaceae Gentianaceae Geraniaceae Geraniaceae Geraniaceae

Plant taxa Acer monspessulanum L. Ixiolirion tataricum (Pall.) Herb. Pistacia atlantica Desf. Pistacia khinjuk Stocks Bunium persicum (Boiss.) B. Fedtsch Ferula stenocarpa Boiss. & Hausskn. Ferula ovina (Boiss.) Boiss. Legousia speculum-veneris (L.) Chaix Pimpinella eriocarpa Banks & Soland. Pimpinella tragium Vill. Prangos uloptera Dc. Trugenia latifolia (L.) Hoffm. Achillea wilhelmsii C. Koch Achillea filipendulina Lam. Anthemis persica Boiss. Anthemis wettsteiniana Hand. -Mzt. Artemisia aucheri Boiss. Artemisia haussknechtii Boiss. Centaurea pabotii Wagenitz Centaurea virgata Lam. Carthamus oxyacantha M. B. Crepis sancta (L.) Babcock Cichorium intybus L. Cichorium pumilum Jacq. Echinops eriocereus Bornm. Gundelia tournefortii L. Onopordum leptolepis DC. Picris strigosa M. B. subsp. kurdica Lack Picnomon acarna (L.) Cass. Scariola orientalis (Boiss.) Sojak Sonchus oleraceus L. Anchusa strigosa Labill. Onosma bulbotrichum Dc. Onosma dasytrichum Boiss. Onosma rostellatum Lehm. Campanula cecilii Rech. F. & Schiman-Czeika Campanula perpusilla Dc. Cleome iberica Dc. Lonicera nummulariifolia Jaub. & Spach Dianthus crossopetalus (Fenzl ex Boiss.) Grossh. Dianthus orientalis Adams. subsp. orientalis Silene conoidea L. Acanthophyllum microcephalum Boiss. Convolvulus arvensis L. Convolvulus buschiricus Bornm. Convolvulus stachydifolius Choisy Capsella bursa-pastoris (L.) Diplotaxis harra (Forssk.) Boiss. Euclidium syriacum (L.) R. Br. Isatis raphanifolia Boiss. Neslia apiculata Fisch. et Mey. Raphanus raphanistrum L. Sisymbrium officinale (L.) Scop. Cephalaria dichaetophora Boiss. Pterocephalus brevis Coult. Scabiosa calocephala Boiss. Euphorbia microsciadia Boiss. Euphorbia peplus L. Quercus brantii Lindl. Gentiana olivieri Griseb. Erodium pulverulentum (Cav.) Willd. Geranium dissectum L. Geranium rotundifolium L.

Chorotypes

Life forms

IT IT IT IT IT S IT IT, M IT IT IT IT, ES IT, S IT, S IT IT IT IT IT, S IT IT IT, M, S Cosm IT, M IT IT IT, S IT IT IT Cosm IT, M IT IT IT IT IT IT, ES IT IT IT IT, M IT, M Cosm S IT Cosm IT, ES IT IT IT IT, ES IT IT, M IT, M IT IT IT IT IT IT, M, S IT, M, ES IT, M, ES

Ph Ge Ph Ph He He He Th Th Th He Th He He He Th Ch Ch He He Th Th He Th He He He He He He Th He He He He Th He Th Ph Ch Ch Th Ch He He He Th He Th Th Th Th He Th Th Th He He Ph Ge Th Th Th


248 Hypericaeae Hypericaeae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Lamiaceae Liliaceae Liliaceae Liliaceae Liliaceae Lythraceae Malvaceae Malvaceae Malvaceae Malvaceae Papaveraceae Papaveraceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Papilionaceae Plantaginaceae Plantaginaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae Poaceae

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Hypericum helianthemoides (Spach) Boiss. Hypericum perforatum L. Lamium amplexicaule L. Mentha longifolia (L.) Hudson var. petiolata Boiss. Nepeta persica Boiss. Phlomis olivieri Benth. Phlomis persica Boiss. Salvia macrosiphon Boiss. Salvia compressa Vent. Stachys lavandulifolia Vahl. Teucrium polium L. Teucrium oliverianum Gingins. Thymus kotschyanus Boiss. & Hohen. Ziziphora tenuir L. Allium atroviolaceum Boiss. Allium eriophyllum Boiss. var. eriophyllum Muscari tenuiflorum Tausch Tulipa clusiana DC. Lythrum salicaria L. Alcea angulata (Freyn & Sint.) Freyn ex lljin Alcea aucheri (Boiss.) Alef. Helianthemum salicifolium (L.) Mill Malva parviflora L. Papaver dubium L. Papaver macrostomum Boiss. & Huet ex Boiss. Astragalus adscendens Boiss. & Hausskn Astragalus cephalanthus Dc. Astragalus fasciculifolius Boiss. Astragalus gossypinus Fisch. Astragalus sieberi Dc. Ebenus stellata Boiss. Glycyrrhiza glabra L. var. glabra Lathyrus inconspicuus L. Medicago coronata (L.) Bartilini Medicago orbicularis (L.) Bartilini Medicago polymorpha L. Medicago radiate L. Medicago sativa L. Onobrychis crista-galli (L.) Lam. Onobrychis cornuta (L.) Desv. subsp. cornuta Trifolium campestre Schreb. Trifolium stellatum L. Trifolium tomentosum L. Vicia monantha Retz. Vicia villosa Roth Plantago lagopus L. Plantago coronopus L. Avena ludoviciana Durieu. Aegilops triuncialis L. Agropyron trichophorum (Link) Richter Agropyron intermedium (Host) P- Beauv. Agropyron tauri Boiss. & Bal. Bromus danthoniae Trin. Bromus tomenteluss Boiss. Bromus tectorum L. Bromus sterilis L. Cynodon dactylon (L.) Pers. Dactylis glomerata L. Eremopoa persica (Trin.) Roshev. Festuca ovina L. Hordeum bulbosa L. Phalaris minor Retz. Poa bulbosa L. Stipa capensis Thunb. Taeniatherum crinitum (Schreb.) Trachynia distachya (L.) Link. Vulpia myuros (L.) j. f. Gmel.

IT IT IT, M, ES Cosm IT IT IT IT IT IT, M, ES IT, M IT IT IT IT IT IT IT IT, ES, S IT IT IT, M, S IT, M IT, M, ES IT IT, S IT IT, S IT IT, S IT IT, M, ES IT, ES IT, M Cosm IT, M, ES IT Cosm M IT IT, M, ES M IT, M, ES IT IT IT, M IT, M, S IT, M IT, M IT IT IT Cosm IT Cosm IT Cosm IT, M, ES IT, M, ES IT, M IT IT, M IT, M, ES IT, M, S IT, M IT, M, S IT, M, ES

He He Th Ge He He He He He He Ch He Ch Th Ge Ge Ge Ge He He He Th Th Th Th He Ch Ph Ch He Ch He Th Th Th Th Th He Th Ch Th Th Th Th Th Th Th Th Th He He He Th He Th Th He He Th He Th Th Ge Th Th Th Th


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Polygonaceae Rumex crispus L. Cosm He Polygonaceae Rumex vesicarius L. S, M Th Ranunculaceae Delphinium cyphoplectrum Boiss. IT Ge Ranunculaceae Ranunculus arvensis L. IT Th Ranunculaceae Ranunculus asiaticus L. IT, M Ge Rhamnaceae Rhamnus persica Boiss. & Hohen. IT Ph Rosaceae Amygdalus orientalis Duh. IT Ph Rosaceae Amygdalus scoparia Spach IT Ph Rosaceae Crataegus azarolus L. IT Ph Rosaceae Rosa elymatica Boiss. & Hausskn. IT Ph Rubiaceae Galium setaceum L. IT Th Rubiaceae Galium tricorne Stokes IT, ES He Scrophulariaceae Verbascum sinuatum L. var. sinuatum IT, ES, S He Scrophulariaceae Verbascum assurense Bornm. & Hand. -Mzt. IT He Scrophulariaceae Verbascum kochiforme Boiss. & Hausskn. IT He Scrophulariaceae Veronica anagallis-aquatica L. Cosm Th Solanaceae Hyoscyamus orthocarpus Schonbeck-Temesy IT He Solanaceae Hyoscyamus tenuicaulis Schonbeck-Temesy IT He Thymelaeaceae Daphne mucronata Royle IT, ES Ph Thymelaeaceae Daphne stapfii Bornm. & Keissler IT Ph Urticaceae Parietaria judaica L. IT He Valerianceae Valerianella vesicaria (L.) Moench. IT, M Th Verbenaceae Vitex pseudo-negundo (Hausskn.) Hand-Mzt. IT Ph Zygophyllaceae Peganum harmala L. Cosm He Note: Ph: Phanerophyte, He: Hemicryptophyte, Th: Therophyte, Ge: Geophyte, Ch: Chamaephyte. IT: Irano-Turanian, M: Mediterranean, S: Sahara-Sindian, ES: Euro-Siberian, Cosm: Cosmopolite

Figure 2. Number of plant species in each family in Emamzadeh Abdullah forest.

Figure 3: Life form spectrum of Emamzadeh Abdullah forest.

Life forms study by Raunkiaer method (Raunkiaer 1934), showed that the most important group is hemicryptophyte. In this study, Hemicryptophyte include 40% of total species, Therophyte 38%, Phanerophyte 9% and Geophytes 6% respectively. Spectrum of life forms for plant species was shown in Figure 3.

Figure 4. Chorological types spectrum in flora in Emamzadeh Abdullah forest.

Geographical distribution study showed that the most important chorotype is Irano-Turanian. In this study, IranoTuranian group is includes 53.3% and Mediterranean 11.7% respectively of the geographical distribution. These chorotypes include 65% of all total species. Spectrum of geographical distribution was shown in Figure 4. It is concluded from the results of the study that the study area is very rich with reference to plant diversity. Among all plants Hemicryptophyte is dominant and Therophyte with is in the next order. In fact life forms of the plants indicate the possibility of adaptation of plants to environmental factors especially climatic condition. According to Mobayen (1975, 1985, 1995) the frequency of Therophyte plants is due to Mediterranean climate and the frequency of Hemicryptophyte is due to cold and temperate climate. As a whole, the frequency of the Hemicryptophyte and Therophyte shows the effect from two types of climate, Mediterranean and cold


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temperate. Therophyte adapted to the dryness of the region and shortage rainfall, spend vegetative period in the form of seed (Asri 2003; Asaadi 2009; Nadaf et al. 2011; Ejtehadi et al. 2003). Hemicryptophytes have adapted to condition of area by using different ways such as: reserving water, using ground water, reducing water need by losing leaves and reduction of vegetative growth. Dominance of hemicryptophyte and therophyte clearly indicate the adaptation of these plants to aridity of area. The geographical distribution of plants reflects the climate conditions. Considering to this fact that 53.3% plant species in this area are Irano-Turanian elements, we can conclude that this area belongs to Irano-Turanian (the Irano-Turanian is characterized by low rainfall and a long dry season) (Ghahreman et al. 2006a,b; Khodadadi et al. 2009; Mataji et al. 2013; Heydari et al. 2013). The Astragalus diversity with its montane 5 species show that Astragalus has adapted to the montane conditions. The existence of Asteraceae and Lamiaceae families with large diversity is the result of destruction in this area. It is understood that the increase in number of member of some plant families including Asteraceae is accompanied with destruction in area, study from Archibold (1995) and Vakili-Shahrebabaki et al. (2001) lend support to the fact. Significantly the presence of the species viz. Stachys lavandulifolia, Teucrium polium, Teucrium oliverianum, Phlomis olivieri and Euphorbia sp. is the indication of destruction in no protected portions of this area. The study area is very rich with reference to plant diversity. Documenting floristic composition of a habitat is valuable for continuing ecological research, management and conservation of plants and animals. Resources available for conservation of species and ecosystems are in short supply relative to the needs. Targeting conservation and management actions toward the species and ecosystems requires clearly established priorities such as study of floristic composition as a principle tool. So, in this research, identification of 154 plant species in Emamzadeh Abdullah forest along with their chorology, plant family and life form are of central importance for further ecological investigation, conservation and management of wildlife refuge of Iran.

ACKNOWLEDGEMENTS This research was supported by Ahvaz Branch, Islamic Azad University, Ahvaz, Khouzestan, Iran.

REFERENCES Archibold OW. 1995. Ecology of World Vegetation. Chapman Hall Inc., London. Asaadi AM. 2009. Floristic study of Firozeh watershed in Khorasan province. Research journal of Biological Sciences 4 (10): 1092-1103.

Asri Y. 1998. Vegetation of salt marsh in Uromia lake plains. For Rangelands Res 191: 216-222. Asri Y. 1999. Ecological study of arid zone plant communities (Case study: biosphere reservoir, province. [Ph.D. Dissertation]. Islamic Azad University, Science and Research Campus. [Iran] Asri Y. 2003. Plant diversity in the biosphere reservoir Desert, Forest and rangelands Research Institute Publication, Tehran. Assadi M, Maassoumi AA, Khatamsaz M, Mozaffarian V. 1988-2011. Flora of Iran. Research Institute of Forests and Rangelands Publication, Tehran, Iran. Davis DS. 1965-1988. Flora of Turkey, Volumes 1-10. University of Edinburgh, Edinburgh. de Martonne E., 1926. Une nouvelle fonction climatologique: L’indice d’aridité. La Meteorologie, 449-458. Ejtehadi H, Amini T, Kianmehr H, Asaadi M. 2003. Floristical and chorological studies of vegetation in Myankaleh wildlife refuge, Iran. Iranian international journal of Sciences 4 (2): 107-120. Emberger LC. 1955. Use classification biogeographique des climates. Rec Trav Lab Bot Geol Zool Univ Fac Sci Montpellier 7: 3-43. Ghahreman A, Attar F, Hamzehee B. 2006b. Floristic study of the southwestern slopes of Binaloud elevations (Iran: Khorassan Province). Rostaniha 31 (1): 1-12. Ghahreman A, Naqinezhad AR, Hamzehee B. 2006a. The flora of threatened Black Alder forests in the Caspian low lands, northern Iran. Rostaniha journal 7(1): 5-30. Ghahreman A. 1975-1999. Flora's color of Iran, volumes 1-20. Research Institute of Forests and Rangeland Publications. Tehran. Ghahreman A. 1994. Iran Chromophytes, Vol. 4. Tehran University Publication Center. Tehran. Heydari M, Poorbabaei H, Hatami K, Salehi A, Begim Faghir M. 2013. Floristic study of Dalab woodlands, north-east of Ilam province, west Iran. Iranian J Sci Technol 37: 301-308. Khodadadi S, Saiedi Mehrvarz SH, Naqinezhad AR. 2009. Contribution to the flora and habitats of the Estil wetland (Astara) and its surroundings, northwest Iran. Rostaniha journal 10 (1): 44-63. Mataji A, Kia Daliri H, Babaie S, Jafari S, Attar Roshan S. 2013. Flora diversity in burned forest areas in Dehdez, Iran. Folia Forestalia Polonica Series A, 55 (1): 33-41. Mobayen S. 1975. Vegetation of Iran. Vol. 1, Tehran University Press. Tehran. Mobayen S. 1985. Vegetation of Iran. Vol. 3, Tehran University Press. Tehran Mobayen S. 1995. Vegetation of Iran. Vol. 4, Tehran University Press. Tehran Mozaffarian V. 1999. Flora of Khuzestan, Khuzestan Province, Animal Affairs and Natural Resources Research Center Publications, Iran. Mozaffarian V. 2007. Flora of Ilam. Research institute of forests and rang, Tehran. Muller-Dombois D, Ellenberg H. 1974. Aims and Methods of Vegetation Ecology. John Wiley and Sons Inc, New York. Nadaf M, Mortazavi M, Halimi Khalilabad M. 2011. Flora, life forms and Chorotypes of plants of Salok protected area in Khorasan province. Pakistan journal of Biological Sciences 14 (1): 34-40. Raunkiaer C. 1934. Life forms of plants. Oxford, University Press. Tehran. Rechinger KH. 1998. Flora Iranica, Vols. 1-173, Akademisch Druck University Verlagsanstalt, Graz, Australia. Thakhtajan A. 1986. Floristic regions of the world. University of California Press Ltd. California. Townsend CC, Guest E. 1960-1985. Flora of Iraq. Vols. 1-9, Ministry of Agriculture and Agrarian Reform, Baghdad. Vakili Shahrebabaki M, Atri M, Assadi M. 2001. Floristic study of Meymand Shahrebabak and identification biological forms and chorotype of area plants. [M.S. Thesis]. Tehran University. [Iran]. White F, Léonard J. 1991. Phytogeographical links between Africa and Southwest Asia. Vegetation 9: 229-246. Zohary M. 1963. On the geobotanical structure of Iran. Bulletin of the Research Council of Israel. Section D, Botany. Zohary M. 1973. Geobotanical foundation of the Middle East. 2 volumes, Germany.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 251-260

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150220

Short Communication: New distributional records of Sonneratia spp. from Andaman and Nicobar Islands, India PADISAMY RAGAVAN1,♼, K. RAVICHANDRAN2, P.M. MOHAN3, ALOK SXAENA4, R.S. PRASANTH1, R.S.C. JAYARAJ5, S. SARAVANAN1 1

Institute of Forest Genetics and Tree Breeding, R.S.Puram, P.B. No 1061, Coimbatore 641002, Tamil Nadu, India. Tel. +91-422-2484100, Fax. +91-422-2430549, ♼email: van.ragavan@gmail.com. 2 Department of Environment and Forest, Andaman and Nicobar Administration, Port Blair, A & N Islands, India. 3 Department of Ocean studies and marine Biology, Pondicherry University, Brookshabad Campus, Port Blair, A & N Islands, India. 4 Indira Gandhi National Forest Academy, Dehradun, Uttarakhand, India. 5 Department of Environment and Forest, Arunachal Pradesh, India. Manuscript received: 22 May 2014. Revision accepted: 25 July 2014.

ABSTRACT Ragavan P, Ravichandran K, Mohan PM, Sxaena A, Prasanth R S, Jayaraj RSC, Saravanan S. 2014. New distributional records of Sonneratia spp. from Andaman and Nicobar Islands, India. Biodiversitas 15: 251-260. Sonneratia lanceolata, Sonneratia x urama and Sonneratia x gulngai was collected from Great Nicobar Island, which representing a new addition to the mangrove flora of India. S. lanceolata is distinguished from S. caseolaris by its drooping branches, lanceolate leaves and ovoidal bud without medial constriction. S. x urama and S. x gulngai are putative hybrids. S. x urama is putative hybrid between S. alba and S. lanceolata, whereas S. x gulngai is putative hybrid between S. alba and S. caseolaris. A detailed description along with colour plate and relevant notes is provided for further collection and identification of these species in the field. Key words: Andaman and Nicobar Islands, India, new records, Sonneratia.

INTRODUCTION Sonneratia (Lythraceae sensu lato), a typical mangrove genus comprising about nine species (Li and Chen 2008) is widely distributed from eastern Africa through IndoMalaya to north eastern Australia and some islands in the west Pacific Ocean (Qiu et al. 2008). In India including Andaman and Nicobar Islands (ANI), five species of Sonneratia viz Sonneratia alba Smith, S. apetala BuchHam., S. caseolaris (L.) Engler, S. griffithii Kurz, and S. ovata were reported so far (Dagar et al. 1991; Debnath 2004; Dam Roy et al. 2009). During floristic study at Great Nicobar Islands revealed the presence of Sonneratia lanceolata, Sonneratia x urama and Sonneratia x gulngai; S. caseolaris also recorded in this survey from Great Nicobar Island. Among them former three species are new distributional records for India. Sonneratia lanceolata and S. caseolaris was collected from Preambhadur Nallah and S. x urama and S. x gulngai was collected from Galathea Bay. S. x urama is putative hybrid between S. alba and S. lanceolata, whereas S. x gulngai is putative hybrid between S. alba and S. caseolaris (Duke 1984; 1994). In Great Nicobar Island Sonneratia spp. are observed in newly formed intertidal habitat formed after 2004 tsunami at the expense of flat coastal forests (littoral forest) and coconut plantations that existed adjacent to the coast and are now dominated by Sonneratia spp. The collected specimens were identified based on the morphometric analysis of wide range of vegetative and reproductive characters in comparison

with diagnostic characters described by Duke and Jackes (1987) and Duke (2006) (Table 1). The taxonomical distinction between S. caseolaris and S. lanceolata is not clear (Kathiresan 2010). In order provide the clear distinction between them specimens of Sonneratia caseolaris was also collected from little Andaman for comparative study. Herbarium for each species was prepared and deposited at Botanical Survey of India, Regional Centre at Port Blair. A detailed description along with colour photograph and relevant notes are discussed in details.

TAXONOMIC TREATMENT Key to Sonneratia spp. in ANI 1.a. Petals present ...................................................................... 2 b. Petals absent ....................................................................... 4 2.a. Petals white, stamens white, leaves ovate to oblong-ovate with rounded mucronate folded underside of the leaf, fissured bark, ellipsoidal buds constricted medially, cup shaped calyx persistent on fruit, calyx lobes 6-7 reflexed towards the fruit stalk on maturity, seeds are sickle shaped .................................................................................. S. alba b. Petals red, stamens red or white ........................................... 3 3.a. Stamens red, leaves elliptic or oblong with pointed mucronate, bark smooth or lightly fissured, grey in colour, flower buds with slight medial constricted, ellipsoidal in shape, flat calyx persistent on mature fruit, calyx lobes 5-7, seeds irregular angular ....... S. caseolaris


Table 1. Diagnostic character of S. caseolaris, S. lanceolata, S. x urama and S. x gulngai with references to Duke and Jackes (1987) and Duke (2006) Characters

S. caseolaris Duke and Jackes Present study (1987)

Leaf shape

Elliptic

Leaf apex

Apiculate, mucronate attenuate oblique Short red to base Grey or flesh colour, smooth or lightly fissured Terete or tetragonous Not drooping Not drooping Drooping like willow tree Ellipsoidal, Ellipsoidal, Ovoidal to constricted medially constricted medially ellipsoidal, no and grooved below and not grooved, medial constriction the lobe fusion apex acute to obtuse and not grooved 1-2 (1 or 2) Terminal 1-2 (1) 1-3 (1 or 2) Coriaceous-warty, Coriaceous-warty, Coriaceous-smooth, shiny smooth shiny smooth dull Red, linear Red Red red Red White Flat expanded Flat expanded Flat expanded Width> than corolla Width> than corolla Width> than corolla width width width Angular irregular Angular irregular Angular irregular

Leaf base Petiole Bark

Peduncles Braches Mature bud

Inflorescence Calyx Petal Stamen Fruit calyx Fruit Seed

Elliptic to broadly elliptic Apiculate, Acute or rounded, mucronate mucronate Attenuate oblique attenuate Short red to base Short red to base Grey or flesh colour, Grey or flesh colour, smooth or lightly smooth or lightly fissured fissured Terete or Terete tetragonous

S. lanceolata Duke and Jackes Present study (1987) Elliptic to lanceolate Lanceolate

Duke 2006

S. x urama Present study

S. x gulngai Duke and Jackes Present study (1987)

Elliptic

Elliptic

Elliptic

Elliptic

Apiculate, mucronate attenuate Short red to base Grey or flesh colour, smooth or lightly fissured Terete or tetragonous Drooping like willow tree Ovoidal to ellipsoidal, no medial constriction and not grooved Terminal 1-2 (1)

Broadly acute to obtuse, mucronate attenuate Short red to base Fissured and flaky, grey

Broadly acute to obtuse, mucronate Attenuate Short red to base Grey or flesh colour, smooth or lightly fissured Terete

apiculate, mucronate Attenuate oblique Short red to base Smooth or fissured and flaky, grey

apiculate, mucronate Attenuate oblique Short red to base Grey smooth or lightly fissured

Terete

Terete

Not drooping

Not drooping

Coriaceous-smooth, dull Red Red Flat expanded Width> than corolla width Angular irregular

Coriaceous-smooth, dull red white Cup shaped width= corolla width Angular irregular

Terete Not drooping

Ellipsoidal, Ellipsoidal,constricte Ellipsoidal, constricted medially d medially, apex constricted acute medially, apex acute 1 or 2 Terminal 1 or 2 1-3 (1 or 2) Coriaceous-smooth, dull red white Flat expanded Width> than corolla width Angular irregular

Ellipsoidal, constricted medially Terminal 1 or 2

Cup shaped red red Cup shaped width= corolla width Angular irregular

red red Flat expanded Width> than corolla width Angular irregular


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b. Stamens red, leaves obovate to ovate with recurved mucronate, apex rounded, bark smooth or lightly fissured, grey in colour, flower buds with prominent medial constricted, ellipsoidal in shape, flat calyx persistent on mature fruit, calyx lobes 5-7, seeds irregular angular ......................................................................... S. x gulngai c. Stamens red leaves lanceolate, apex acute with recurved mucronate, bark smooth or lightly fissured, grey in colour, flower buds without prominent medial constricted, ovoidal in shape, flat calyx persistent on mature fruit, calyx lobes 5-7, seeds irregular angular ........................... S. lanceolata d. Stamens white, leaves elliptic to broadly elliptic, apex acute with recurved mucronate, mature bud ellipsoidal with prominent medial constriction, bark smooth or lightly fissured, grey in colour, flat calyx persistent on mature fruit, calyx lobes 5-7, seeds irregular angular ................ ........................................................................... S. x urama

Distribution. Sonneratia lanceolata is found in Australia, Indonesia, New Guinea and Vietnam. Habitat and ecology. The species occurs at low intertida1 position or in upstream estuarine positions in rivers subjected to relatively high levels of freshwater runoff. Substrate is usually fine soft silt on the accreting inside banks of river meanders. In Great Nicobar Island it was observed at high intertidal region along with S. caseolaris and Bruguiera gymnorrhiza. Phenology. Flowering and fruiting occurs throughout the year apparently. Specimen examined. India: Andaman and Nicobar Islands, Great Nicobar Island, Preambhadur Nallah, 13/2/2014, 06°56’59.3”N and 93°54’28.0”E, P.Ragavan # 30922 (PBL).

4.a. Leaves broadly ovate, mucronate absent, calyx surface verruculose, calyx lobes always 6 enveloped the fruits, seeds are irregular .................................................. S. ovata b. Leaves obovate to sub-orbicular, base rounded, mucronate present folded underside of the leaf, closed buds rounded, no medial constriction, calyx surface smooth, calyx lobes 6-7 not enveloped the fruits, flat calyx persistent on mature fruit, seeds angular ............................. S. griffithii c. Narrowly elliptic to lanceolate leaves, bark light brown irregularly fissured, calyx lobes 4, lie flat in mature fruit, umbrella shaped stigma...................................... S. apetala

Sonneratia x urama N.C. Duke. Duke & Jackes in Blumea 32: 297 (1987); Duke in Australian Systematic Botany, 7, 52I-526 (1994). (Figure 2) Tree 10 to 20m high, spreading with dense canopy; stem base simple, bark grey, smooth, lightly fissured and flaky on maturity, pneumatophores, conical, slender, ca 2040cm long. Leaves simple, opposite, pale green, 7-9.3 × 4.7-6.2 cm, elliptic to broadly elliptic, margin entire, glabrous, base attenuate, apex acute or broadly acute with recurved mucronate; petiole short, flattened, reddish-green, ca 3-6mm long; stipules absent. Inflorescence terminal, 1 2 flowered, mature buds 3.5-4 × 2-2.2cm, ellipsoidal bud with prominent medial constriction, apex acute, bract 2, lateral, not persistent; calyx lobes 6-7, green, apex acute; petals, 6-7, ribbon like, ca 2.3cm × 0.2cm, red; stamens, numerous, white, ca 5.2cm long; ovary multilocular, style terete, coiled in bud, extended at anthesis to 5.6-6.5cm long, stigma fungiform, ca 1.9-2.1mm. Berry globose, green, leathery, 2-3.3 × 5.6-6cm, persistent withered style up to 8.3cm long, base convex; calyx persistent, flat expanded, calyx lobes reflexed upwards; seeds numerous, angular and irregular. Distribution. This putative hybrid has been reported in three countries, Australia, Indonesia and Papua New Guinea. Habitat and ecology. Common in mid intertidal and intermediate estuarine position. In Galathea Bay it was found in downstream estuarine position along with Acrostichum aureum, Bruguiera gymnorrhiza and Sonneratia x gulngai. Phenology. Flowering and fruiting occurs throughout the year apparently Specimen examined. India: Andaman and Nicobar Islands, Great Nicobar Island, Galathea Bay, 14/02/2014, 06°49’14.1”N and 93°51’56.5”E, P.Ragavan #30926 (PBL).

DESCRIPTION Sonneratia lanceolata Blume, Mus. Bot. Lugd.-Bat. 1 (1851) 337; Miq., Fl. Ned. Ind. 1, 1 (1855) 497; Koord., Versl. Minahasa (1898) 471; Becc., Nelle Foreste di Born. (1902) 579; CT. White, Proc. Roy. Soc. Queensl. 34 (1922) 45; R. Parker, Indian For. 51 (1925) 505; Duke & Jackes in Blumea 32: 297 (1987). Sonneratia acida auct. non L. f.: Benth., Fl. Austral. 3 (1866) 301, p. p. S. alba auct. non 1. Smith; Merr., Enum. Born. PI. 448 (1921). S. caseolaris auct. non (L.) Engl., ex parte; Ridely, Fl. Malay Penins. I: 825. (1922) (Figure 1) Tree columnar or spreading, 15-25m high, evergreen, branches are drooping, stem base simple, bark grey to pale green, smooth or lightly fissured with numerous lenticels, roots pneumatophores, conical, slender, ca 40cm long. Leaves simple, opposite, pale green, 6-12.3cm L, 2.54.4cm W, elliptic or lanceolate, margin entire, base attenuate, apex acute with recurved mucronate; petiole very short, flattened, red, ca 2-6mm long; stipules absent. Inflorescence terminal, mostly 1 flowered, rarely 2; mature buds 2.2-3.5cm L, 1.5-2.4cm W, ovoidal or ellipsoidal without medial constriction, apex acute to obtuse, bract 2, lateral, not persistent; calyx lobes 5-7, green, elliptictriangular, apex acute; petals 5-7, ribbon like,1.8-2.2 cm × 2.5-3 mm, dark red; stamens numerous, ca 4.5cm long, red; ovary superior multilocular, style terete, coiled in bud, extended at anthesis to 5.1-5.6cm long; stigma fungiform, ca 1.8-2.1mm. Berry globose, green, leathery, 2.1-2.5 × 4.5-5cm W, persistent withered style up to 6cm L; calyx persistent flat expanded, calyx lobes erect; hypanthium saucer-shaped; seeds numerous, angular irregular.

Sonneratia x gulngai N.C. Duke, Duke & Jackes in Blumea 32: 297 (1987); Duke in Austrobaileya 2(1) 103 l05 (1984). (Figure 3) Tree up 10-20m high, spreading with dense canopy, stem simple, glabrous, bark smooth, grey, lightly fissured and flaky on maturity, pneumatophores conical, slender, ca 40-60 cm long. Leaves simple, opposite, pale green, 7-9.3


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× 4.7-6.2 cm, obovate to ovate, margins entire, glabrous, base rounded or obtuse, apex broadly acute with recurved mucronate; petioles short, flattened, red, ca 2-5 mm long; stipules absent. Inflorescence terminal, 1-2 flowered, mostly 1; mature buds 3.8-4.4 × 2-2.3 cm, ellipsoidal with prominent medial constriction, apex acute, bract 2, lateral, not persistent; calyx lobes 5-7, apex acute; petals 5-7, red, ribbon like, ca 2.5 ×0.2 cm; stamens numerous, red, 4.5-5.6 cm long; ovary multilocular, style terete, coiled in bud, extended at anthesis up to 6.5 cm long; stigma fungiform, ca 1.7-1.9 mm. Berry globose, green, leathery, 2.5-3.3 × 5.5-6 cm, persistent withered style up to 8.6 cm long, calyx persistent, calyx lobes reflexed upwards; seeds numerous, angular and irregular. Distribution. Sonneratia x gulngai may occur from southern Malaysia and China, through southern Asia and Indonesia, to northern New Guinea and northern Australia. Here it is reported from first in India. Habitat and ecology. Common in Mid intertidal and intermediate estuarine position, found on firm mud or silt. In Galathea bay it was found in downstream estuarine position along with Acrostichum aureum, Bruguiera gymnorrhiza and Sonneratia x urama. Phenology. Flowering and fruiting occurs throughout the year apparently. Specimen examined. India: Andaman and Nicobar Islands, Great Nicobar Island, Galathea Bay, 14/02/2014, 06°49’14.1”N and 93°51’56.5”E, P. Ragavan # 30927 (PBL).

DISCUSSION Vegetative structures of Sonneratia spp. are very similar (Tomlinson 1986). However the occurrence of petals and its color is more useful for identification of Sonneratia spp. (Duke and Jackes 1987). Based on the occurrence of petals we can broadly classify the Sonneratia spp. into two i.e. petalous species (S. alba, S. caseolaris, S. lanceolata, S. x urama, S. x gulngai and S. x hainanensis) and apetalous species (S. apetala, S. griffithii and S. ovata). Among the petalous species except S. alba and S. x hainanensis others are having red petals. However, the taxonomical distinction between S. lanceolata and S. caseolaris is not clear because of the morphological similarities between them (Kathiresan 2010). But during the recent survey both S. caseolaris and S. lanceolata recorded from Preambhadur Nallah, Great Nicobar. According to Duke and Jackes (1987) S. lanceolata is distinguished from S. caseolaris by its lanceolate leaves, white stamens, red petals and ovoidal flower buds without medial constriction. But S. lanceolata observed here exhibit red stamen and red petals like S. caseolaris; except the stamens color all the other characters are resembles the S. lanceolata described by Duke and Jackes (1987) and Duke (2006). In order to distinguish the S. lanceolata from S. caseolaris in Great Nicobar, specimens of S. caseolaris from V.K. Pur creek, Little Andaman was subjected to morphometric analysis. By comparing the specimens it was found that in S. caseolaris leaves shapes varied from

lanceolate to broadly elliptic with acute or rounded apex (Figure 4A-D), branches are not drooping, inflorescences with 1-3 flowers, mature buds are ellipsoidal and constricted medially and fruit is comparatively larger than S. lanceolata (Figure 4). Whereas in S. lanceolata branches are highly drooping, mostly inflorescences with 1 flowered, mature bud ovoidal or ellipsoidal without medial constriction and all the leaves are lanceolate with acute tip, fruits are smaller than S. caseolaris. So here it is noted that stamen color of S. lanceolata is can be red or white. In contrast to Duke and Jakes (1987) calyx tubes of S. caseolaris observed here are not grooved below the lobe fusion point (Figure 4E&J). The notable difference observed in the specimens of S. caseolaris form Great Nicobar is the inflexed ribbon like petals (Figure 4K-L) whereas in Little Andaman petals of S. caseolaris are not inflexed and lanceolate in shape (Figure 4F). Some individuals of S. caseolaris in little Andaman exhibit bud without medial constriction particularly in single flowered inflorescence (Figure 4E) but in multi-flowered inflorescences mature buds are with prominent medial constriction (Figure 4H). In Great Nicobar Island bud shape of S. caseolaris uniform in the population (Figure 4J). Another interesting variation noted in specimens of S. caseolaris from Great Nicobar are fruits with enveloped by calyx lobes in young stage and erected and spreading calyx lobes on maturity (Figure 4M and Figure 5G). But in Little Andaman calyx lobes are not enveloped at any stage (Figure 4G). Sonneratia x urama is putative hybrid between S. alba and S. lanceolata and known to occur in Indonesia, New guinea and Australia (Duke 2006). Sonneratia x gulngai is putative hybrid between S. alba and S. caseolaris, occur in Southern Malaysia and china through Southern Asia and Indonesia, to northern new Guinea and Northern Australia (Duke 2006). Duke (1994) and Duke (1984) reported the hybrid nature S. x urama and S. x gulngai respectively. We recorded these two species from Galathea bay, Great Nicobar. Both are present abundantly without their possible parents. S. x urama is distinguished from S. x gulngai and S. caseolaris by its white’s stamens and red petals whereas in S. x gulngai and S. caseolaris stamens and petals are red. Further it’s distinguished from S. lanceolata by its prominent medial constriction in mature bud, elliptic leaf with broadly acute or obtuse apex and large sized fruits. S. x gulngai is distinguished from other Sonneratia spp. by its red stamens and petals, ovoid to obovate leaf with broadly acute tip, mature bud with medial constriction. Duke (1994), Duke and Jackes (1987) and Duke (2006) described that S. x urama exhibit cup shaped calyx, fissured and flaky bark and small fruit indented around style base. But S. x urama reported here have flattened calyx (Figure 2J), smooth bark (Figure 2G) and large sized fruits convex around the style base (Figure 2J). Similarly S. x gulngai reported here differs in morphological characters described by Duke (1984) by its flattened calyx (Figure 3G) and large sized fruits convex around the style base (Figure 3K). This notable variation along with considerable fruit setting and existence without their possible parents suggests the self sustaining ability of S. x urama and S. x gulngai. Moreover


RAGAVAN et al. – New record of Sonneratia in ANI, India

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Figure 1. Sonneartia lanceolata: A. Leaf blade, B. Drooping branch, C. Drooping branchlet with fruit, D. Branchlet with bud, E. Stem base, F. Pneumatophores, G. Bark, H. Mature bud, I. Opened bud, J. Dark red petals, K. Red stamens, L. Fruit with flattened calyx, M. Fruit, N. Cross section of fruit showing multilocular ovary and irregular seeds.


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Figure 2. Sonneratia x urama: A. Branchlet, B. Leaf blade, C. Young bud with bract, D. Mature bud, E. Opened bud, F. Red petals, G. Bark, H. Pneumatophores, I. White stamens, J. Fruit.


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Figure 3. Sonneratia x gulngai: A. Leaf blade, B. Branchlet with fruits, C. Mature buds with prominent medial constriction, D. Young bud, E. Opened flower, F. Red petals, G. Mature fruit with reflexed calyx lobes, H. Red stamens, I. Style after anthesis, J. Bark, K. Young and mature fruit, L. Mature bud with bract, M. Stem base with pneumatophores.


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Figure 4. Variation in Sonneratia caseolaris: A-D. Leaf shape and apex variation, E. Bud without medial constriction, F. Lanceolate petals, G. Young fruit with un-enveloped calyx lobes, H. Mature bud with medial constriction, I. Oblong elliptic leaf, J. Bud with medial constriction, K. Inflexed petal, L. Ribbon like dark red petal, M. Young fruit with enveloped calyx. (A-H=Specimens from Little Andaman; I-M= specimens from Great Nicobar Islands).


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G \ Figure 5. Presence of bract in: A. S. lanceolata, B. S. caseolaris, C. S. x urama, D. S. x gulngai ; bud shape difference between, E. S. caseolaris (left) and S. lanceolata (right), F. S. x gulngai (left) and S. x urama (right), G. Various stage of fruits with enveloped calyx (right) to flat reflexed calyx.

we observed large number of young seedlings all over the bay. So here it’s documented that S. x urama and S. x gulngai deserve the species status. More interestingly mature buds of all observed Sonneratia spp. in Great Nicobar possess distinct bract (Figure 5 A-D). Difference in shape of mature buds of S. caseolaris, S. lanceolata, S. urama and S. gulngai is given in Figure 5 (E-F). Ecologically S. lanceolata and S. caseolaris occurs in upstream estuarine position (Duke 2006) but in Great Nicobar these two species were observed in low intertidal

region along with Bruguiera spp. and Rhizophora spp. But in little Andaman S. caseolaris was observed in upstream estuarine position along with Barringtonia racemosa and Nypa fruticans. S. x urama and S. x gulngai was observed in downstream estuarine position in Galathea bay. It was known from local peoples that both the places are affected by tsunami and Sonneratia spp. were colonizing the area after tsunami. In Galathea bay mangroves are completely wiped off and in Preambhadur Nallah earlier coconut plantation were exist. It was variously estimated that the


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tsunami wiped off 60-70 % of the mangrove forests in the Nicobar Islands (Ramachandran et al. 2005; Sridhar et al. 2006) and land has submerged by about 1m. This submergence caused the formation of new inter tidal areas at the expense of flat coastal forests (littoral forest) and coconut plantations that existed adjacent to the coast (Nehru and Balasubramanian 2011) and mangroves started colonizing in these newly formed habitats. We also observed the S. lanceolata population in Preambhadur Nallah within the degraded coconut plantation and in Galathea bay the present mangrove vegetation are dominated only by Sonneratia spp. Hence the probable reasons for the current occurrence of these species is the seeds from the nearest sources viz. Indonesia, Malaysia and Singapore must have been carried by the tsunami and established a new population on Newly formed habitat in Great Nicobar Island. These present observations claim the colonizing ability of Sonneratia spp. in degraded mangrove area. So emphasis has to given for Sonneratia spp. in mangrove restoration activity like Rhizophora spp, Bruguiera spp. and Avicennia spp. The present record of S. lanceolata, S. x urama and S. x gulngai from Great Nicobar Islands represents a new addition to the mangrove flora of ANI, as well highlighting as its floristic affinities towards with Southeast Asian countries. Further, it suggests the need for periodical floristic survey to updating of information on the extent and status of mangroves in the ANI.

ACKNOWLEDGEMENTS We are highly indebted to Director General, Indian Council for Forestry Research and Education for providing necessary support under NFRP. Extremely Grateful to the Principal Chief Conservator of Forests, Andaman and Nicobar Islands for his guidance and ensuring necessary support from field. Appreciate the cooperation and support provided by the CCF (Research and Working Plan), CCF, Territorial Circle and all the Divisional Forest Officers and their staff in the Department of Environment and Forests,

Andaman and Nicobar Administration. Thanks are due to Dr. N. Krishnakumar, IFS, Director, Institute of Forest Genetics and Tree Breeding, Coimbatore for his support and encouragement. Special thanks are extended to DFO Campbell Bay for constant support.

REFERENCES Dagar JC, Mongia AD, Bandhyopadhyay AK. 1991. Mangroves of Andaman and Nicobar Islands., Oxford and IBH, New Delhi. Dam Roy S, Krsihnan P, George G, Kaliamoorthy M, Goutham Bharathi MP. 2009. Mangroves of Andaman and Nicobar Islands.CARI, Port Blair. Debnath HS. 2004. Mangroves of Andaman and Nicobar islands; Taxonomy and Ecology (A community profile). Bishen Singh Mahendra Pal Singh. Dehra Dun. Duke NC, Jackes BR.1987. A systematic revision of the mangrove genus Sonneratia (Sonneratiaceae) in Australasia. Blumea. 32: 277-302. Duke NC. 1994. A Mangrove Hybrid, Sonneratia x urama (Sonneratiaceae) from Northern Australia and Southern New Guinea. Aust Syst Bot 7: 521-526. Duke NC. 2006. Australia’s mangroves: the authoritative guide to Australia’s mangrove plants. The University of Queensland and Norman C. Duke, Brisbane. Duke NC. 1984. A mangrove hybrid, Sonneratia x gulngai (Sonneratiaceae), from north east Australia. Austrobaileya 2: 103105. Kathiresan K. 2010. Importance of Mangrove Forest of India. Journal of Coastal Environment. Vol 1(1): 11-26. Li HS, Chen GZ. 2008. Genetic relationship among species in the genus Sonneratia in China as revealed by inter-simple sequence repeat (ISSR) markers. Biochem Syst Ecol 36: 392-398. Nehru P, Balasubramanian P. 2011. Re-colonizing mangrove species in tsunami devastated habitats at Nicobar Islands, India. CheckList 7 (3): 253-256. Qiu S, Zhou RC, Li YQ, Havanond S, Jaengjai C, Shi SH. 2008. Molecular evidence for natural hybridization between Sonneratia alba and S. griffithii. J Syst Evol 46 (3): 391-395. Ramachandran S, Anitha S, Balamurugan V, Dharanirajan K, Vendhan KE, Divien MIP, Vel AS, Hussain IS, Udayaraj A. 2005. Ecological impact of tsunami on Nicobar Islands (Camorta, Katchal, Nancowry and Trinkat). Curr Sci 89 (1): 195-200 Sridhar R, Thangaradjou T, Kannan L, Ramachandran A, Jayakumar S. 2006. Rapid assessment on the impact of tsunami on mangrove vegetation of the Great Nicobar Island. J Indian Soc Remote Sens 34 (1): 89-93. Tomlinson PB. 1986. The botany of mangroves. Cambridge University Press. Cambridge.


B I O D I V E R S IT A S Volume 15, Number 2, October 2014 Pages: 261-268

ISSN: 1412-033X E-ISSN: 2085-4722 DOI: 10.13057/biodiv/d150221

Short Communication: A new record of naturalized Selaginella uncinata (Desv.) Spring (Selaginellaceae) from Java, Indonesia AHMAD DWI SETYAWAN1,2, 1

Program of Conservation Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok 16424, West Java, Indonesia. 2 Department of Biology, Faculty of Mathematics and Natural Sciences, Sebelas Maret University. Jl. Ir. Sutami 36A Surakarta 57126, Central Java, Indonesia. Tel./Fax. +62-271-663375, email: volatileoils@gmail.com. Manuscript received: 4 June 2014. Revision accepted: 3 September 2014.

ABSTRACT Setyawan AD. 2014. A new record of naturalized Selaginella uncinata (Desv.) Spring (Selaginellaceae) from Java, Indonesia. Biodiversitas 15: 261-268. During extensive field researches on the diversity and distribution of Selaginella in Java, between 2007 and 2014, an alien species has been found in nature, i.e. Selaginella uncinata. This species is a trailing herb with small, wiry, creeping main stem, fan-shaped branches, rooting at the nodes to c.a. 100 cm long or more; leaves are dimorphic, 4-ranked, and characterized by conspicuous blue iridescent; strobili are tetragonal, up to c.a. 2 cm long. S. uncinata was found growing wild in the highlands with high rainfall, namely: Cibodas Botanical Garden, Cianjur, West Java and Tawangsari, in the city district of Wonosobo, Central Java, Indonesia. Transplant experiments showed that this plant was able to grow and reproduce well in lowlands (Depok, 107 m asl.) and highlands (Wonosobo, 768 m asl.). In the experimental garden, it could compete successfully with native species of Javan selaginellas, for space, sunlight and nutrients. Therefore, we must be concerned about the invasion ability of this species. Key words: Alien, invasive, new record, Selaginella uncinata, Java.

INTRODUCTION Selaginella P. Beauv. (club moss, spike-moss) is a solely genus of fern allies belonging to the Family of Selaginellaceae Reinch., consisting of 700-750 species throughout the word in the tropical and subtropical regions (Tyron and Tyron 1982; Jermy 1990), and 25 species of Java (Setyawan 2008). This plant prefers retentive and fertile soil and moderately shaded place, requires water for fertilization, and is susceptible to drought. This genus is widespread in the shaded and moist places, especially in mountainous areas with humid climate and abundant water resources, although the distribution of each species can be limited depending on location and season. Selaginella is a useful plant for traditional and modern medicines. Traditionally, it is used for treating wounds, postpartum, menstrual disorders and body fitness improvement (tonics). Modern biomedical research shows that this plant has potential as an anti-oxidant, antiinflammatory, anti-cancer, anti-bacterial, etc. (Setyawan 2011a). Selaginella is used to treat acute infection, jaundice, hepatitis, cholecystitis, enteritis, etc. (Lei et al. 2010). It is also useful as an ornamental plant, handicraft materials, and vegetables (Winter and Jansen 2003; Setyawan 2009). Selaginella uncinata is originated and widely distributed in southern China. It was introduced to Java many years ago.. It was never recorded in the classical literatures of Selaginella in Nusantara (the Malay

Archipelago), both in Java and the Lesser Sunda Islands (Alston 1935a), Sumatra (Alston 1937), Sulawesi and Maluku (Alston 1940), the Malay Peninsula (Alston, 1934), and the Philippines (Alston 1935b). Even in a recent study on flora Selaginella of the Malay Peninsula (Wong 1982, 2010) S. uncinata was not listed either. Medicinal plants Selaginella uncinata is one of the selaginellas species widely used in traditional Chinese medicine to treat bacterial diseases, hepatitis, infectious diseases, tumors (Ma et al. 2002), jaundice, dysentery, edema and rheumatism diseases (JNMC 1986). Phytochemical isolation of this plant has resulted in several biflavonoids, flavonoids, chromone glycosides and phenolic constituents (Ma et al. 2003; Zheng et al. 2007a, 2008). This herb contains uncinataflavone, named after the specific epithet, which have antioxidant activity (Zou et al. 2013). Amentoflavone, hinokiflavone and robustaflavone are other biflavonoids isolated from S. uncinata with antioxidant activity (Ma et al. 2003; Zheng et al. 2007b; Fan et al. 2009). This plant has a protective effect against anoxia due to several 3′,8′′-linked bioflavonoids constituents (Zheng et al. 2011), steroidal saponins (Zheng et al. 2013), and γlactone derivatives and terpenoids (Zheng et al. 2014). It also has chromone glycosides, i.e. uncinoside A and uncinoside B (Man and Takahashi 2002), which show antiviral activities against respiratory syncytial virus (RSV) and parainfluenza type 3 virus (PIV 3) (Ma et al. 2003). S.


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uncinata has resistance to disease, drought and metal toxicity due to the high silicon content (Ma and Takahashi 2002; Ma 2004). There are many other chemical compounds isolated from this plant, but their usefulness has not been examined. Ornamental plants Selaginella uncinata has a very attractive appearance, especially due to the metallic blue iridescent caused by thin-film refraction (Gebeshuber 2009). This color changes with the angle of light and the local humidity levels, from blue to blue-green to emerald green. The most intense blue color tends to be indicated by the new growth particularly that lying flat on moist ground floor. Good light but full shade is necessary to bring out and maintain the color (Phair 1989). The green leaves that develop in response to more direct sunlight do not turn blue when subjected to shade, but blue leaves gradually turn green with age or exposure to more direct light (Gebeshuber 2009). This blue appearance is caused by the way of the plant refracts light. The color phenomenon is a physical characteristic of light called thin layer refraction, similar to a shimmering rainbow on a puddle of water coated with a thin oil film. In S. uncinata, the leaf epidermis is coated with two bands of cells in rows that refract light from the plant. Photons of light energy, which travel in waves of different length depending on the color, are slowed down slightly when they pass through any material. The light rays that bounce back through the rows of cells are slightly slowed. Half of the light is shifted so that the peak of one stream of photons is directly opposite of the valley of another stream of photons, thus creating the iridescent blue effect (Klingaman 2010). This China’s native plant was introduced to many other countries as an ornamental plant. To date, S. uncinata has been introduced into the southeastern United States, Brazil, Costa Rica, Japan, Taiwan, the Philippines, India, Germany and France (e.g. Hassler and Swale 2002; GBIF 2014a; Global Mapper 2014). This species has been naturalized in Japan (Mito and Uesugi 2004; NIES 2014) and the United States (Hoshizaki and Moran 2001; Mickel 2003; IFAS 2012), but the rate of invasion is still being debated, thus it has not been stated as an invasive plant, but only a naturalized or weed plant (GCW 2007). However, some ornamental plants suppliers have stopped selling this plant. This paper is the first report of S. uncinata as naturalized plant of Java and a new record for the flora of Java, as well as flora of Nusantara. The presence of S. uncinata in Java can be traced back from herbarium sheet, Junghuhn no. 1239, collection of the Bogor Botanical Gardens (now owned by Herbarium Bogoriense). The sheet has no collection date, but Junghuhn lived in Java in the period of 1835-1848 and 1855-1864 (Beekman 1996). Therefore, S. uncinata thought to have been introduced in or before those years, but has not been distributed in nature yet and not recorded in classical literature. Setyawan (2009, 2012) and Harli (2013) are the current literature indicating the presence of S. uncinata in Java, but without sufficient attention to the flora and naturalization. A collection of the

Royal Botanical Garden Edinburg (RBGE) Herbarium (E) by H. Cuming no. 1996 (E00348822, 24-02-2011) stored under name of S. uncinata of the Philippines does not refer to this species (GBIF 2014b; RBGE Herbarium 2014). But, Pelser et al. (2011) stated that this species occurs as an escape in Luzon, the Philippines. Meanwhile, Setyawan (2009) reported the discovery of a new record of Selaginella from Wonosobo, Java with huge potential for land cover and ornamental plant. It can be grown in the soil surface quickly and has flagrant metallic blue color in shady conditions. This characteristic refers to S. uncinata, but it was mis-identified as S. singalanensis. Setyawan (2012) restates the presence of S. uncinata in Wonosobo with reference to the above specimen. Invasiveness of selaginellas For medical reasons and ornamental plants, Selaginella is introduced to many countries, including S. plana, S. wildenowii, S. lepidophylla, S. martensii, S. biformis, S. moellendorfii, S. uncinata, and S. kraussiana (Setyawan 2011b). These species have high adaptability, easy to grow, easy to maintain and reproduce rapidly, thus they are feared to be harmful to the new environment. However, at this time, It is only S. kraussiana which significantly threatens the new environment and harms the economy. S. kraussiana of mountainous African and subtropical Azores (van Leeuwen et al. 2005) has been invasive in several subtropical areas. Even, it can also be found in the cold mountainous zone of Mount Kilimanjaro, Tanzania (Hemp 2008). This introduced ornamental plant has become invasive in the United Kingdom and Ireland (Stokes et al. 2006), the United States (Stapes et al. 2004), Australia (Carr et al. 1992; Groves 2003), and New Zealand (Bannister 1984; Esler 1988; Timmins and Braithwaite 2002; West 2002). This species is a serious weed in New Zealand, though it is sensitive to intense sunshine and drought (Thetford et al. 2006). Field research and transplant experiment The extensive field research was carried out in more than six years, between July 2007 and January 2014, collecting more than 1450 samples of Java selaginellas from the 500s points coordinates. More than 600 herbarium sheets of Java selaginellas and 2000s sheets of other Nusantara selaginellas from the Herbarium Bogoriense (BO) have been examined. S. uncinata and its relatives were identified using classical bibliographies of Selaginella flora in Nusantara, i.e. Alston (1934, 1935a, 1935b, 1937, 1940); as well as the newer literatures of Selaginella from Nusantara and the surrounding areas, i.e. Andrews (1990), Tsai and Shieh (1994), Li and Tan (2005), Wong (1982, 2010), Chang et al. (2012), and Zhang et al. (2013). In the field study, S. uncinata was found naturalized on two locations namely: Cibodas Botanical Garden, Cianjur, West Java (1359 m asl.), and Tawangsari, in the city district of Wonosobo, Central Java (708 m asl.). Both locations are situated in the highlands. Meanwhile, Harli (2013) showed the presence of S. uncinata in Cibeber, Cianjur, West Java and Bandung, West Java, not far from the botanical garden.


SETYAWAN – New record of Selaginella uncinata from Java

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C

A B

A

B

Figure 1. Site discovery of naturalized Selaginella uncinata in Java, Indonesia. A. Cibodas Botanical Garden, Cianjur, West Java, a recreation and plant conservation area, on the edge of primary tropical rainforest. S. uncinata was scattered on the forest edges, among the plant collections, on the ground floor of the greenhouse, on the banks of waterways or streams, etc., common in moist areas and slightly open, B. Tawangsari, in the city district of Wonosobo, Central Java, a downtown that still retains agricultural land and community forests among the city's infrastructure. S. uncinata was only discovered once on the small river bank, below shrubs and shaded by trees. C. Harli (2013) showed the presence of S. uncinata in Cibeber, Cianjur, West Java and Bandung, West Java, not far from the Cibodas Botanical Garden.


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A

B

C

D

F

E

G

Figure 2. Transplant experiment of Selaginella uncinata indicated that this ornamental plant is potentially invasive. A. S. uncinata with beautiful metallic blue iridescent, B. Growing very rapidly, overflowing from the pot and spread to the surrounding area, C. Growing as epiphytes attached to the old wall, D. Hanging from the pot to get the space and sunlight, E. Spreading, covering the ground floor and the other Selaginella, especially small creeping selaginellas, F. Covering small S. rothertii, G. Filling cracks in concrete bricks and compete with S. meyeri.


SETYAWAN – New record of Selaginella uncinata from Java

C.1 C.2 C.3 C.4 A

B

C

D

Figure 3. Schematic morphology of Selaginella uncinata. A. General ventral appearance, B. Dorsal tip appearance, C. Leaves morphology: C.1. Lateral leaves, C.2. Median leaves, C.3. Axillary leaves, C.4. Sporophylls, Bar = 1 cm, D. Strobilus, Bar = 1 cm.

Cibodas Botanical Garden is located at the foothills of Mount Gede-Pangrango at an altitude of 1300-1425 m asl. with an area of 84.99 hectares, the average temperature of 17.04-26.44°C, the humidity of 89.28%, and the average rainfall of 3,380 mm/year (Setiawati 2012). Cibodas Botanical Garden is a recreation and plant conservation area on the edge of primary tropical mountain rainforest. S. uncinata was scattered on moist shady spots of the forest edges, among the plant collections, on the ground floor of the greenhouse, on the banks of waterways or streams, etc., common in rich soil, moist areas and moderate shade. While, Tawangsari is a downtown of Wonosobo, Central Java that still retains agricultural land and community forests among the city's infrastructure. Wonosobo district is a mountainous area, located at an altitude of 275-2250 m asl. (half is located at 500-1000 m asl.), with an area of 98,468 hectares, the average temperature of 14.3-26.5°C, the humidity of 82%, and the average rainfall of 3,400 mm/year (BPS Wonosobo 2011). S. uncinata was only discovered once on the small river bank, below shrubs and shaded by trees. Research on this species showed no presence in the surrounding area. Selaginella uncinata has grown in the experimental garden soon after its discovery in nature. Garden experiment was distinguished between lowlands and

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highlands, namely: Cilangkap, Depok, West Java (107 m asl.); and Kejiwan, Wonosobo, Central Java, Indonesia (768 m asl.). Transplant experiments were performed with a variety of treatments, namely: substrate (loam soil, sand, compost/manure, mixture), shade (0-60%), and water (1, 2, 3, 4 days per 4 days). S. uncinata has been planted in Wonosobo since four years ago (6 March 2010), and in Depok since last year (28 March 2013). It continues to grow and reproduce well now. S. uncinata grew much better in Wonosobo highlands than the lowlands of Depok. In the moist highlands of Wonosobo, this plant grew very rapidly, overflowing from the pot and spread throughout the experimental gardens, including the garden floor, trailing in the stone wall, filling among the pots, among the erect selaginellas (S. plana, S. involvens, S . wildenowii, etc) and overrode the creeping selaginellas (S. ciliaris, S. repanda, S. rothertii). As the plant grew, the stem roots grew freely, and the plant continued to spread outwards. The growth of this plant needs supervision lest it spreads to the surrounding areas. This plant is potentially invasive and competes successfully with native species of Nusantara selaginellas. Fortunately, most of the plants will dry up, turning into warm bronze or brown and die in the extremely dry season, thus inhibiting its spread naturally. In the garden experiment, S. uncinata reproduced vegetatively and rarely formed strobilus. It produced root-like rhizophores along the weak stems and is easily fragmented. In the lowlands of Depok with warmer environment, S. uncinata grew relatively limited, even depressed by S. meyeri, other creeping selaginellas. However, this plant could grow well, as long as there was enough shade, water and nutrients (compost), even if it grew among other Selaginella plants, such as: S. plana, S. wildenowii, etc. In both the experimental gardens, S. uncinata generally grew better in moist conditions, but well-drained, adequate water, humus, and shade. In Depok, direct sunlight was harmful to growth; opening or removal of paranet or shade plants in the vicinity could cause dryness and death. Meanwhile, in Wonosobo, these plants could grow in direct sunlight, although the best growth was found in the shade. Taxonomic treatment Selaginella uncinata (Desv. ex Poir.) Spring, Bull. Acad. Roy. Sci. Bruxelles. 10: 141. 1843. Basionym: Lycopodium uncinatum Desv. ex Poir., Lamarck, Encycl. Suppl. 3: 558 (1814). Synonym: Lycopodioides uncinata (Desv.) Kuntze, Rev. Gen. Pl. 1: 825 (1891); Lycopodium aristatum Roxb., Hort. Beng., 75 (1824) [nomen, non Hook. & Bak]; Lycopodium caesium Hort. ex Anon., Ann. Hort. Soc (1847): 361, descr.; Lycopodium dilatatum Hook. & Grev., Enum. Fil., Hook. Bot. Misc. 2: 394, no 149 (1831); Selaginella aristata (Roxb.) Scott; List Higher Crypt., 64 (1868); Selaginella caesia Hort. ex A. Br., Ind. Sem. Hort. Berol. 23 (1860); Selaginella caesia Kunze, Linnaea 20: 2 (1847) [nom. nud.], Selaginella caesia var. violacea Hort. ex A. Br., Ind. Sem. Hort. Berol. 23 (1860); Selaginella eurystachya Warb., Monsunia 1: 105, 119, no. 79 (1900).


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Common name: Blue spike moss, hooked spike-moss, peacock fern, peacock moss, peacock spike moss, rainbow fern, rainbow moss (English); Chinesisches mooskraut (Germany); cui yun cao (Chinese, 翠云草, 翠雲草). Description: This species is a perennial herb, terrestrial, wiry, pliant, creeping, fan-shaped branching, up to ca. 100 cm long or more, forming tick mats. Stems are long-creeping, branched from near base upward, pinnately or 3-forked branching, flat or hanging, or scandent to epiphyte on rocky wall, not articulated, terete and angulate, sulcate, glabrous with a wiry-pliant main stem, 1-1.5 mm diam., apex of main stems flagelliform, many branches; 6-8 pairs of primary leafy branches, twice pinnately branched, once or twice forked secondary branches, dense branchlets, adjacent primary branches on main stem 4-6 cm apart, 4-5 cm wide (including leaves). Rhizophores are axillary at intervals, mostly at main stem base near to the ground or at intervals throughout length of main stem, borne on ventral side of branches, 0.3-0.5 mm diam. Leaves are dimorphic, delicate, papery, iridescent, green to metallic blue-green, distinctly white-margined, margin entire, single vein, arranged in 4 lanes (2 lateral, 2 median); lateral (ventral) leaves are distant, ovate to oblong, asymmetrical, 2.5-4 mm long, 1.5-2 mm wide, basiscopic base with small auricle, acroscopic base overlapping stem, not enlarged; base rounded or cordate, apex acute or mucronate to obtuse, margins conspicuously transparent, entire, single vein reaching the apex, keeled; median (dorsal) leaves are ovate to lanceolate, asymmetrical, obviously larger on main stems than on branches, dorsal leaves on branches are approximate to imbricate, parallel to axis or overlapping at leaf apex and often reflexed, ovate, 2-3 mm long, 1-1.5 mm wide, base obtuse to auriculate, apex acute to long acuminate, margins transparent, entire, single vein; axillary leaves are present at branch forks, inserted at the ventral side of the stem, obviously larger on main stems than those on branches, broadly ovate or reniform, more equally sided, 3-4 mm long, 2-3 mm wide, single vein, base rounded to subcordate, apex acute to acuminate, margin transparent, entire, keeled. Strobili are solitary, terminal, compact, tetragonal, 0.5-2 cm long and distinctly 4-keeled. Habitat and ecology: In Cibodas Botanical Garden, S. uncinata was distributed in many areas, common, grows wildly among the collection plants and at the greenhouse floors, around drains and small streams, on the forest edge; at altitude of 1359 m asl. This garden is situated in the cool highlands, on the edge of primary montane rainforest. In the experimental garden of Depok, this plant could grow and reproduced well, but it required sufficient shade, nutrients and water (moisture), because Depok is located in the warmer lowlands. It filled the gaps among pots, competed or live in co-existence with creeping S. mayeri. While, in Tawangsari, Wonosobo, S. uncinata was only found once on the steep cliffs of the small river banks, under the bushes and shaded by trees; at altitude of 708 m asl. Creeping Selaginella generally is not able to grow under the bushes, but these species can do. Tawangsari is located in the downtown of Wonosobo but still retains its farm land and community forest, among the residential, business district, road, irrigation channels, etc. In the

Wonosobo experimental garden, it could grow well, forming a thick-dense mat in moist spots on the floor and walls, hanging on the containers, filling the empty floor among the potted plants, and is very suitable as land cover in moist and shaded places. It is very easy to grow and be propagated by division of large mats or by stem cuttings. It shows attractive metallic blue-green color in the shade and will be faded in the sun exposed places. It is very suitable as ornamental plant. Locality in nature: Cibodas Botanical Garden, Sindanglaya, Cianjur, West Java; Tawangsari, Wonosobo, Central Java, Indonesia. Distribution: China (common: Anhui, Chongqing, Fujian, Guangdong, Guangxi, Guizhou, Hubei, Hunan, Jiangxi, Shaanxi, Sichuan, Taiwan, Yunnan, Zhejiang), Hongkong, Macau, Vietnam. Introduced to Brazil (Rio de Janeiro), Costa Rica, India (West Bengal), Indonesia (Java: Wonosobo and Cianjur, in this research), Japan (Honshu, Kyushu, Shikoku), Paraguay, Taiwan, the United States (Florida, Georgia, Louisiana, Mississippi, Alabama, Connecticut, North Carolina), Germany (Berlin Botanical Garden) and France (Jardin Botanique du Montet, Nancy). Specimen observed: ADS 286 (SO!) (Tawangsari; 2010-03-06; -7.386517°, 109.895696°, 708 m asl.; Tawangsari, Wonosobo, Central Java; cliff of a small river bank, under bushes, shaded by nearby trees); ADS 454 (SO!) and ADS 455 (SO!) (Wonosobo experimental garden, 2011-08-00; -7.347392°, 109.903347°, 768 m asl., Kejiwan, Wonosobo, Central Java; originally from Tawangsari, Wonosobo, planted in the experimental garden at 6 March 2010; experimental garden covered by paranet or not, high rainfall, relatively humid); ADS 631 (SO!) (Cibodas Botanical Garden, 2013-03-28, -6.740285°, 107.006960°, 1359 m asl., Sindanglaya, Cipanas, Cianjur, West Java, common, grows wild in the collection garden and greenhouse floors, around drains and small streams, forest edge); ADS 1473 (SO!) (Depok experimental garden, 2014-08-13, -6.436861°, 106.864194°, 107 m asl., Cilangkap, Tapos, Depok, West Java, originally from Cibodas Botanical Garden, planted in the experimental garden at 28 March 2013; planting site is rather open, low rainfall, dry, partially exposed to direct sunlight); and Junghuhn no. 1239 (det. 1910) (BO!) Java, W. Bog., Herb. Hort. Bot. Bog.; It was redetermined by A.G.H. Alston in 1930s, but not included in the list of selaginellas from Java and the Lesser Sunda Islands (Alston 1935a), and given notes as “cultivated”. There is no information about the habitat; it is likely to come from the early collection of introduced S. uncinata of the Bogor Botanical Gardens. Discussion. The discovery of S. uncinata in the capital district of Wonosobo is a new record for Central Java. The only S. uncinata sheets of Herbarium Bogoriense is the collection of Junghuhn no. 1239 (det. 1910) which may be obtained from the plants collections of the Bogor Botanical Gardens. The botanical garden has brought a variety of selaginellas from outside Java and abroad, but almost all the introduced selaginellas have died and have not been naturalized. However, in the upland botanical gardens about 25 km eastward, namely the Cibodas Botanical Gardens (1350 m), this species was found either planted or


SETYAWAN – New record of Selaginella uncinata from Java

growing wild. S. uncinata in Wonosobo city was presumably introduced as an ornamental plant from southern China, because the Chinese have lived in the city since hundreds of years ago (Setyawan 2012). Besides, the species of Cibodas Botanic Garden can easily be grown in Depok (107 m), indicating that this species is not specific to highlands. Zhang et al. (2013) stated that S. uncinata can be grown below 100 to 1200 m asl. in China. Conservation concern and future prospect In the field study, S. uncinata was found naturalized in two remote highland areas, namely Cibodas Botanical Garden and Tawangsari, Wonosobo, within 300 km. In Wonosobo, the discovery of S. uncinata was not followed by similar discoveries in the surrounding area. Meanwhile, in the Botanical Gardens Cibodas, the discovery of S. uncinata was also accompanied by similar discoveries in the surrounding area. This suggests that the plant was introduced to Cibodas Botanical Garden long before it was introduced to Wonosobo, so the naturalized area of S. uncinata is much broader in the botanical garden than in Wonosobo. In fact, S. uncinata has been naturalized in nature and it requires management effort so it will not become invasive. On the other hand, this ornamental plant has a potential as medicinal plant. Many chemical compounds have been isolated and its usefulness has been known; the rests have not been known or have not been isolated yet. This naturalized plant is expected not only to be harmful to the environment and the economy, but also to be a blessing for the discovery of new compounds with medicinal benefits and economic value. Therefore, in-depth research is needed on the ecological and phytochemical characteristics to increase the benefits.

ACKNOWLEDGEMENTS The author thanks to Dr. Wen-Liang Chiou (Taiwan Forestry Research Institute, Taiwan) and Dr. Tatik Chikmawati (Bogor Agricultural University, Indonesia) for supporting the publication of selaginellas diversity. Many thanks to Herbarium Bogoriense for facilitating herbarium specimens. This research was partly financed by Directorate General of Higher Education, Ministry of Education and Culture, Republic of Indonesia, (025/SP2H/KPM/DIT.LITABMAS/V/2013).

REFERENCES Alston AHG. 1934. The genus Selaginella in the Malay Peninsula. Gard Bull Strait Settl 8: 41-62. Alston AHG. 1935a. The Selaginella of the Malay Islands: I. Java and the Lesser Sunda Islands. Bull Jard Bot Buitenzorg 3 (13): 432-442. Alston AHG. 1935b. The Philippines species of Selaginella. Philippines J Sci 58: 359-383. Alston AHG. 1937. The Selaginella of the Malay Islands: II. Sumatra. Bull Jard Bot Buitenzorg 3 (14): 175-186. Alston AHG. 1940. The Selaginella of the Malay Islands: III. Celebes and the Moluccas. Bull Jard Bot Buitenzorg 3 (16): 343-350.

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Andrews SB. 1990. Ferns of Queensland. Queensland Department of Primary Industry, Brisbane. Bannister P. 1984. The seasonal course of frost resistance in some New Zealand pteridophytes. N Z J Bot 22: 557-563 Beekman EM. 1996. F.W. Junghuhn (1809-1864): Elevating tropical nature. In: Troubled Pleasures: Dutch Colonial Literature from the East Indies 1600-1950. Clarendon Press, Oxford. BPS Wonosobo 2011. Wonosobo in Figures 2011. District of Wonosobo and BPS Wonosobo, Wonosobo [Indonesian] Carr GW, Yugovic JV, Robinson KE. 1992. Environmental weed invasions in Victoria: conservation and management implications. 1st ed. Department of Conservation & Environment, Melbourne Chang HM, Chiou WL, Wang JC. 2012. Flora of Taiwan, Selaginellaceae. Endemic Species Research Institute, Nantou, Taiwan. Pelser PB, Barcelona JF, Nickrent DL (eds.). 2011 onwards. Co's Digital Flora of the Philippines. http://www.philippineplants.org/Families/ Pteridophytes.html [01-09-2014] Esler AE. 1988. The naturalisation of plants in urban Auckland, New Zealand: 6. alien plants as weeds. N Z J Bot 26: 585-618 Fan XL, Xu JC, Lin XH, Chen KL. 2009. Study on biflavonoids from Selaginella uncinata (Desv.) Spring. Chinese Pharm J 44 (1): 15-19. GBIF. 2014a. Search occurence for Selaginella uncinata (Desv. ex Poir.) Spring. http://www.gbif.org/occurrence/search?taxon_key=2688211& HAS_COORDINATE=true&HAS_GEOSPATIAL_ISSUE=false&of fset=0. [24-05-2014] GBIF. 2014b. Information on record GBIF575171649 (Selaginella uncinata). http://www.discoverlife.org/mp/20l?id=GBIF575171649 [24-05-2014] GCW. 2007. Global Compendium of Weeds; Selaginella uncinata (Selaginellaceae). http://www.hear.org/gcw/species/selaginella_uncinata. . [21-05-2014] Gebeshuber IC. 2009. Structural colours in biology: scientific basis and bioinspired technological applications. The Role of Science and Technology to Improve The Quality of Life, Bukittinggi, The Hills Hotel, October 24th, 2009 Global Mapper. 2014. Selaginella uncinata. http://www.discoverlife.org/ mp/20m?kind=Selaginella+uncinata. [24-05-2014] Groves RH, Hosking JR, Batianoff GN, Cooke DA, Cowie ID, Johnson RW, Keighery GJ, Lepschi BJ, Mitchell AA, Moerkerk M, Randall RP, Rozefelds AC, Walsh NG, Waterhouse BM. 2003. Weed categories for natural and agricultural ecosystem management. Bureau of Rural Sciences, Canberra, Australia Harli R. 2013. Selaginella Diversity of West Java. [Hon. Thesis]. Department of Biology, Bogor Agricultural University, Bogor. [Indonesian]. Hassler M, Swale B. 2002. Checklist of world ferns on CDROM. http://homepages.caverock.net.nz; bj@caverock.net.nz Hemp A. 2008. Introduced plants on Kilimanjaro: tourism and its impact. Pl Ecol. 197 (1): 17-29. Hoshizaki BJ, Moran RC. 2001. Fern Grower’s Manual. Timber Press, Portland, OR. IFAS. 2012. Species that can be recommended, October 2012, Conclusion from the IFAS Assessment of Non-native Plants in Florida’s Natural Area. University of Florida, FL. Jermy AC. 1990. Selaginellaceae. In: Kubitzki K, KU Kramer and PS Green (eds) The families and genera of vascular plants, 1. pteridophytes and gymnosperms. Springer, Berlin JNMC [Jiangsu New Medical College]. 1986. Dictionary of Chinese Herb Medicines. Shanghai Scientific and Technologic Press, Shanghai, China. Klingaman G. 2010. Peacock clubmoss. Extension Horticulturist – Ornamentals; Extension News - October 22, 2010. The University of Arkansas, Division of Agriculture. http://www.uaex.edu/yardgarden/resource-library/plant-week/peacock-clubmoss-10-22-10.aspx [16-05-2014] Lei T, Jiang H, Chi C, Wu S, Cen Y. 2010. A new biflavonoid from Selaginella uncinata (Desv.) Spring. CJI 12 (1): P.6. http://www.chemistrymag.org/cji/2010/121006ne.htm Li ZJ, Tan BC. 2005. A review of the species diversity of Selaginella in Fujian Province of China. Acta Phytotaxonomica Sinica 43 (1): 50-59 Ma JF, Takahashi E.2002. Soil, fertilizer, and plant silicon research in Japan. Amsterdam: Elsevier Science. Ma JF.2004. Role of silicon in enhancing the resistance of plants to biotic and abiotic stresses. Soil Sci Pl Nutr 50:11–18.


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B I O D I V E R S IT A S 15 (2): 261-268, October 2014

Ma LY, Ma SC, Wei F, Lin RC, But PP-H, Lee SH-S, Lee SF. 2003. Uncinoside A and B, two new antiviral chromone glycosides from Selaginella uncinata. Chem Pharm Bull 51: 1264-1267. Ma LY, Wei F, Ma SC, Lin RC. 2002. Two new chromone glycosides from Selaginella uncinata. Chinese Chem Lett 13 (8): 748-751 Mickel JT. 2003. Ferns for American gardens. Timber Press, Portland, OR. Mito T, Uesugi T. 2004. Invasive alien species in Japan: The status quo and the new regulation for prevention of their adverse effects. Global Environ Res 8(2): 171-191 NIES. 2014. Invasive Species of Japan. National Institute for Environmental Studies, Ibaraki, Japan. http://www.nies.go.jp/ biodiversity/invasive/resources/listen_cryptogam.html Phair G. 1989. Fern allies for the Rock Garden. Bull Amer Rock Gard Soc 47 (2) 190-200. RBGE Herbarium. 2014. Selaginella uncinata (Desv. ex Poir.) Spring. Herbarium Catalogue, Royal Botanic Garden Edinburgh. http://elmer.rbge.org.uk/bgbase/vherb/bgbasevherb.php?current__na mes_family=&current__names_genus=selaginella&current__names_ species=uncinata&coll__name=&coll_num=&specimens_barcode=& full__name=&specimens_region=&cfg=bgbase%2Fvherb%2Fbgbase vherb.cfg [21-05-2014] Setiawati P. 2012. Effect of Green Open Space in the Micro Climate (Case Study Cibodas Botanical Garden, Cianjur). [Hon. Thesis]. Department of Landscape Architecture, Faculty of Agriculture, Bogor Agricultural University, Bogor. [Indonesian] Setyawan AD. 2008. Species richness and geographical distribution of Malesian Selaginella. 8th Seminary and Congress of Indonesian Plant Taxonomy Association (“PTTI”), Cibinong Science Center, BogorIndonesia, 21-23 October 2008. Setyawan AD. 2009. Traditionally utilization of Selaginella; field research and literature review. Nusantara Biosci 1: 146-158. Setyawan AD. 2011a. Natural products from Genus Selaginella (Selaginellaceae). Nusantara Biosci 3: 44-58. Setyawan AD. 2011b. Recent status of Selaginella (Selaginellaceae) research in Nusantara. Biodiversitas 12: 112-124. Setyawan AD. 2012. Altitudinal distribution of Selaginella in the southern part of Central Java, Indonesia. Proc Soc Indon Biodiv Intl Conf 1: 153-157. Stapes GW, Herbst DR, Imada CT. 2004. Survey of invasive or potentially invasive cultivated plants in Hawaii. Hawaii Biological Survey, Bishop Museum, Honolulu Stokes K, O'Neill K, McDonald RA. 2006. Invasive species in Ireland. Queens University, Belfast Thetford M, Gibson JL, Ballard BO, Groninger JK. 2006. Ferns for sun and shade in northwest Florida. SNA Research Conference 51: 602606 Timmins SM, Braithwaite H. 2002. Early detection of invasive weeds on islands. In: Veitch CR, Clout MN (eds) Turning the tide: the eradication of invasive species. IUCN SSC Invasive Species Specialist Group, Gland, Switzerland

Tryon RM, Tryon AF. 1982. Fern and allied plants, with special reference to tropical America. Springer, New York Tsai JL, Shieh WC. 1994. Selaginellaceae. In: Huang TC (ed) Flora of Taiwan. Vol. 1. 2nd ed. Department of Botany, National Taiwan University, Taipei van Leeuwen JFN, Schäfer H, van der Knaap WO, Rittenour T, Björck S, Ammann B. 2005. Native or introduced? Fossil pollen and spores may say; An example from the Azores Islands. Neobiota 6: 27-34 West CJ. 2002. Eradication of alien plants on Raoul Island, Kermadec Islands, New Zealand. In: Veitch CR, Clout MN (eds) Turning the tide: the eradication of invasive species. IUCN SSC Invasive Species Specialist Group. IUCN, Gland, Switzerland Winter WP de, Jnasen PCM. 2003. Selaginella Pal. Beauv. In: de Winter WP, Amoroso VB (eds). Plant resources of South-East Asia 15 (2) Cryptogams: ferns and fern allies. Backhuys. Leiden. Wong KM. 1982. Critical observations on Peninsular Malaysian Selaginella. Gard Bull Sing 35 (2): 107-135 Wong KM. 2010. Selaginellaceae. In Parris BS, Kiew R, Chung RKC, Saw LG, Soepadmo E (eds) Flora of Peninsular4 Malaysia Series 1. Ferns and Lycophytes. Malayan Forest Records No. 48. FRIM Kepong, Selangor. Zhang XC, Nooteboom HP, Kato M. 2013. Selaginellaceae. In: Wu ZY, Raven PH, Hong DY (eds). Flora of China, Vol. 2–3 (Pteridophytes). Science Press, Beijing. Zheng JX, Wang NL, Cheng HF, Yao XS. 2007a. Isolation and identification of phenolic constituents from Selaginella uncinata (Desv.) Spring. Zhongguo Yaowu Huaxue Zazhi [Chinese J Pharm Chem] 17: 302-305. Zheng JX, Wang NL, Fan M, Chen HF, Liu HW, Yao XS. 2007b. A new biflavonoid from Selaginella uncinata. Asian J Trad Med 2 (3): 9297. Zheng JX, Wang NL, Gao H, Liu HW, Chen HF, Fan M, Yao XS. 2008. A new flavonoid with a benzoic acid substituent from Selaginella uncinata. Chin Chem Lett 19: 1093-1095. Zheng JX, Zheng Y, Zhi H, Dai Y, Wang NL, Fang YX, Du ZY, Zhang K, Li MM, Wu LY, Fan M. 2011. New 3′,8′′-Linked biflavonoids from Selaginella uncinata displaying protective effect against anoxia. Molecules 16 (8): 6206-6214. Zheng JX, Zheng Y, Zhi H, Dai Y, Wang NL, Fang YX, Du ZY, Zhang K, Wu LY, Fan M. 2014. γ-Lactone derivatives and terpenoids from Selaginella uncinata and their protective effect against anoxia. Chem Nat Comp 50 (2): 366-369. Zheng JX, Zheng Y, Zhi H, Dai Y, Wang NL, Wue L, Fan M, Fang YX, Zha S, Zhang K. 2013. Two new steroidal saponins from Selaginella uncinata (Desv.) Spring and their protective effect against anoxia. Fitoterapia 88 (July 2013): 25-30. Zou H, Xu KP, Li FS, Zou ZX, Long HP, Li G, Wang H, Tan GS. 2013. Uncinataflavone, a new flavonoid with a methyl benzoate substituent from Selaginella uncinata. J Asian Nat Prod Res 15 (4): 408-412.


A-1

Authors Index Adhikari MK Agustina P Ahmadi A AlKhanjari SS Asra R Atri NS Bazdid Vahdati F Bhandary MJ Bhat S Bhatt D Bisht AS Chandrashekar KR Cheng SH Costa ADA Du J El-Nagerabi SAF Elshafie AE Etemad V Fadli N Faramarzi M Feghhi J Garcia DAZ Gholizadeh H Hartatik T Heydari M Hosseini SM Ismail MH Jayaraj RSC Kamarudin N Karami A Kaur A Kaur M Kavosi MR Kemka-Evans CI Khan MS Kooch Y Kukreti M Leme GLA Makatipu PCh Mansyurdin Maridi Merzaei J Mir SA Mishra AK Mohan PM Mollaei-Darabi S Muchlisin ZA Muhadjier A Naqinezhad A

101 215 48 24 109 115 31 89, 229 229 80 94 89 142 180 104 24 24 162 142 147 53 180 31 1 147, 245 60, 206, 224 240 12, 251 240 53 115 115 48 137 75 60, 206 80 180 104 109 215 147 6, 131 6, 131 12, 251 60 142 142 31

Nwachukwu C Okoli B Olopade OA Orsi ML Pant A Parajuli GP Pathak AK Peristiwady T Pothier D Prasanth R S Purnawan S Putra WPB Rafeie Jahed R Ragavan P Rajanna L Ravichandran K Razali N Reshi ZA Reyahi-Khoram M Reyahi-Khoram R Rezaei-Taleshi SA Rizvandy M Roshan SA Rufai OP Saeidi Mehrvarz Sh Sanjay-Gandhi D Saputra A Saravanan S Sarkar UK Saxena A Sefidi K Setyawan AD Sharma KD Sharma MP Singh SP Soejono Soltanloo H Subasinghe K Sumadi Sumanapala AP Sundarapandian S Sxaena A Syamsuardi Vijayaraghavan A Watanabe K Witono JR Zaki PH Zarghi A Zulkarnaini B

137 137 195 180 75 101 186 104 147 251 142 1 206 12, 251 229 12, 251 240 6, 131 67 67 39 67 245 195 31 169 215 12, 251 186 12 53, 162 261 94 6, 131 186 236 48 200 1 200 169 251 109 12 101 109 240 224 142


A-2

Subject Index Aceh cattle Agaricales Alder alien Allometric Alnus subcordata Andaman and Nicobar islands anthiinae Ata-Kuh avian diversity biodiversity

biodiversity conservation bird species richness Bisotun broad-leaved cardamom Centrarchidae Cichlidae Coastal Karnataka conservation Daemonorops draco deforestation Dhofar Mountains dispersion distribution

disturbance

diversity

diversity index

dolphin dominance

1, 2, 3, 4 101, 115 39-45, 98, 163, 224 173, 180, 261 182, 195, 198 39-43, 46 12, 13, 15, 22, 251, 260 104 31, 35, 36 80 24-26, 31, 32, 36, 39, 40, 44, 54, 60, 67, 68, 73, 75, 79, 8082, 87, 88, 94, 98, 131, 134, 148, 149, 155, 162, 180, 186, 191, 193, 224-229, 243 68, 73, 229 80, 87, 200, 202, 203 67, 68 61, 165, 206 96, 200, 201-204 180 195, 197-199 89-92 75 109-113 60, 61, 64, 65, 73, 78 24, 25 149, 180, 184 6-8, 10, 12, 14, 15, 22, 27, 31, 36, 39, 42, 45, 46, 52, 54, 5659, 65, 71, 73, 75, 76, 78, 79, 80, 92, 106, 109, 126, 128, 131133, 135, 137, 138, 141, 149, 150, 165, 166, 167, 169-176, 180, 186, 190, 191, 193, 197, 204, 216, 221, 236, 245, 246, 249, 250, 251, 253, 254 48, 49, 57, 58, 60, 61, 75, 7780, 88, 147, 148, 158, 159, 162, 166, 167, 169, 171, 177, 186, 193, 204, 240 3, 6, 7, 10, 12, 24, 25, 26, 28, 31-33, 35-37, 39, 40, 43-46, 53, 54, 56, 58, 59, 67, 68, 71, 74, 80, 82, 86-90, 94, 98, 109-113, 115, 131, 132, 135, 147, 149, 155, 156, 158, 159, 162, 162, 169, 171-173, 177, 180, 183, 184, 186, 187, 188, 190, 191, 193, 195-204, 211, 215-218, 220-222, 224-226, 229, 230, 232, 236, 239, 243, 245, 249, 250 33, 35, 36, 39, 40, 43, 45, 46, 54, 56, 58, 59, 149, 155, 190, 195-198, 202, 215, 217, 218, 221, 222, 241 75-79 87, 169, 171, 173, 176, 195,

Dryopteris dung earthworm East Java ecological species groups ecotourism endophytes environment

epidermal epithelial pileus cuticle ethnobotany ethnomedicinal plants evenness Fagus orientalis feeding guild diversity fish diversity flora

forest

forest biodiversity forestry fractal dimension FRAGSTATS fungal community Garhwal Himalaya genetic diversity GH gene Giganthias immaculatus GIS growth pattern H. sangal habitat

198, 216, 218, 224-226, 240, 250 6-10, 34, 131-135 115, 117-121, 123-125, 127129 60, 62-65 236 31, 32, 36 73, 224-228 24-28 1, 5, 24-27, 31, 33, 36, 39, 45, 51, 53-55, 58, 60, 61, 64, 6770, 72, 73, 75, 80, 94, 98, 101, 109, 145, 146, 147, 158, 171, 180, 181, 183, 184, 199, 215, 216, 218, 220, 221, 225-228, 237, 240, 245, 249, 137-139, 141 115 89 89-92 33, 35, 36, 56, 80, 82, 149, 156, 195, 197-199, 221, 224-226 33, 34, 36, 37, 40-43, 45, 162164 200, 202, 203 183, 184, 186, 188, 190, 191, 193 6, 7, 24-26, 28, 36, 40, 45, 90, 95, 98, 115, 131, 135, 147, 150, 153, 155, 156, 157, 159, 224228, 230, 236, 245, 246, 249, 251, 260 8, 12, 13, 31, 32, 35, 36, 37, 3946, 48, 49, 51, 53, 54, 55, 5759-65, 69, 70, 73, 80-87, 94, 95, 98, 99, 101-103, 109-113, 132, 133, 135, 147-149, 157, 159, 162-167, 169, 170-177, 181, 200, 201, 203, 204, 206209, 211-213, 215, 222, 226, 229, 236, 237, 239-243-250, 259, 260 31, 162 54, 57, 94, 97, 109, 149, 166, 200, 241, 56, 60-63, 65 53-55, 57 24, 27-28 80, 87, 94-96 30, 66, 94, 109-113, 180 1-4 104-106 55, 68, 177, 186-188, 191, 193 49, 195, 198 236-239 6, 8, 10, 16, 17, 18, 24, 27, 31, 35, 37, 39, 46, 55, 67, 69, 70, 72-74, 75-83, 87, 88, 94, 95,


A-3

Himalayan region homegarden biodiversity Hyrcanian forest India

Indonesia

introduction of species Iran

ISSR marker invasive Karnataka Kashmir valley Khouzestan land use landscape ecology Lansdowne forest life forms Malacca strait Malaysia mangroves medicine metrics modified habitats morphology MspI restriction enzyme natural forest

needle-leaved Nepal new record new variety Nigeria non-native species north of Iran oak forests Oman Ophiostoma novo-ulmi Oyan Dam Pasuruan pathogen PCR-RFLP Pholiota microspora pinus

98, 102-104, 115, 118-129, 131, 133, 135, 145, 162, 168, 180, 186, 187, 193, 195, 195, 200-204, 221, 224, 236-239, 245, 250, 251, 253, 254, 260 98, 186, 187, 193 229 31, 36, 48, 49, 60, 61, 163 1, 6-8, 10, 12, 13, 15, 18, 22, 75-77, 80, 81, 87, 89, 90, 91, 94-96, 98, 115-125, 127-129, 131-133, 135, 169-176, 186191, 229, 230-232, 235, 251, 253, 254 1, 3, 4, 104, 105, 107, 109, 110, 133, 142, 143, 215-217, 236238, 253, 254, 260 180 4, 25, 31, 32, 36, 39, 40, 43, 44, 48, 49, 51-55, 57, 60-62, 65, 67, 68, 70, 71, 73, 147-149, 158, 159, 162-164, 166, 206208, 212, 224-226, 245, 246, 247, 249, 250 109-113 48, 173, 180, 183, 184, 226, 262, 264, 265, 267 89-92, 229, 230, 232, 235 6, 7, 10, 131, 132, 135 245, 246 30, 53-59, 60, 73, 79, 94, 157, 209, 211, 216 53, 54, 58 80, 81, 83, 87, 245, 149, 150, 155, 156, 229, 231, 245, 246, 247 142 18, 109, 113, 176, 240, 241, 254, 260 12-15, 17, 18, 22, 27, 166, 251, 259, 260 24, 89, 90, 92, 94, 228 53-59 200, 201, 204 26, 48, 49, 51, 115, 137, 142 1, 3 46, 58, 64, 73, 87, 162, 177, 200, 206, 208, 209, 211-213, 240-241 206 8, 10, 75, 101, 102, 133, 135 6, 7, 10, 24, 26, 28, 104, 115, 125, 131, 135, 262, 266 101, 103 137, 138, 195-198 180, 184 39, 48, 49, 60-62, 163, 208 70, 147 24-26, 28 48, 49, 51, 52 195-199 236-239 26, 27, 48, 51, 52, 166, 180 1, 3 101-103 80, 98, 99, 200-203, 206, 207, 212, 219

plant diversity plant genetic resources plant geography plantation

Pteridophytes rare species rediscovered richness

River Beas Samin secondary succession Selaginella uncinata Sepia officinalis Sepioteuthis lessoniana sequencing Serranidae Shopian Simpson's diversity index skid trails snag soil

soil feauture soil nutrients soil seed bank Sonneratia Southern Nigeria spatial gradients species composition

species diversity

species richness

structure of forest suburban sustainable management symptom systematics taxonomy Tibagi River tissue-preference top soil traditional medicine tree regeneration tree species diversity tropical dry deciduous forest

12, 31, 39, 40, 43, 45, 173, 229, 245, 249 94 245 39-46, 109, 111-113, 200-204, 206-209, 211, 212, 221, 251, 259, 260 6, 7, 10, 131, 132, 135 12, 15, 33, 51, 80, 82, 150, 225 236 33, 36, 37, 45, 54, 56, 57, 64, 67, 68, 80, 87, 88, 94, 147, 149, 156-159, 162, 169-173, 177, 183, 186, 187, 190, 191, 193, 195, 197, 200-204, 220, 221, 224-226, 240-243 75-78 215-217, 219-222 147 261-267 142-146 142-146 1, 3, 4 104 6, 7, 8, 10, 131-133, 135 56, 195 240-243 162, 164-166 7, 31, 32, 36, 37, 39, 40, 46, 54, 58, 60-65, 88, 95, 98, 115, 118, 123, 132, 133, 147-149, 155, 157-159, 162-164, 170, 201, 206, 207-213, 215, 216, 218, 220-222, 224-226, 229, 236238, 240 60 64, 206, 212 147-159 12, 14, 15, 18, 19, 22, 251, 253, 254, 256-260 137, 138 186 12, 32, 82, 149, 150, 157, 159, 164, 165, 169, 171, 173, 177, 199, 202, 225 26, 31-33, 36, 37, 39, 45, 46, 80, 82, 87, 158, 169, 173, 177, 186, 193, 196, 197, 198, 199, 218, 221, 226, 230, 232, 240243 33, 35-37, 80, 87, 88, 149, 156159, 162, 169-173, 177, 186, 190, 191, 193, 195, 197, 200204, 220, 221, 240-243 162, 169 80-83, 85, 87 38, 162, 206, 213, 242 24, 28, 48, 49, 51, 92 115 115, 116, 137, 186, 201 180, 181, 183, 184 24, 15, 28 60 24, 89 240, 241 169 169, 170, 173,


A-4 Upper Ganga basin Uroteuthis vegetable vegetation

Vernonia water

186, 187, 193 142-146 70, 94-99, 229, 231 7, 24, 31, 32, 33, 34, 36, 37, 39, 45, 46, 53, 54, 55, 61, 64, 79, 87, 88, 89, 94, 95, 132, 147159, 169, 171, 173, 177, 201, 204, 209-211, 215-222, 224225, 236, 237, 240, 241, 245, 260, 137-140 1, 18, 24, 26, 36, 45, 49, 54, 60,

wildlife Zagros Zelkova carpinifolia

61, 70, 71-73, 75-79, 84, 84, 85, 88, 94, 104, 106, 110, 126, 127, 138, 141-143, 145, 146, 147, 149, 173, 177, 180, 183, 183, 184, 186, 191, 193, 196, 198, 208, 209, 212, 213, 215222, 224, 237, 250, 253 55, 67-74, 78, 88, 162, 173, 176, 224, 225, 250 53-55, 57, 58, 59, 69, 147-149, 157-159, 245 48, 49, 51, 52, 206, 207


A-5

List of Peer Reviewers Ajay K Srivastava Alireza Naqinezhad Alok Saxena Amandeep Kaur Anders S. Barfod Andreas Kroh Anna Kuzemko Apinun Suvarnaraksha Archan Bhattacharya Arifa Zereen Asghar Kamrani Ashwani Tapwal Bambang Hero Saharjo

Department of Botany, St. Xavier's College, Ranchi 834001, Jharkhand, India. Department of Biology, Faculty of Basic Sciences, University of Mazandaran, Babolsar 4741695447, Mazandaran, Iran. Department of Environment and Forestry, Port Blair, Andaman and Nicobar Island, India. Desh Bhagat College of Education, Bardwal Dhuri 148024, Punjab, India. Departmet of Bioscience, Aarhus University, Aarhus, Denmark. Department of Geology-Paleontology, Natural History Museum Vienna, Burgring 7-1010, Vienna, Austria. National Dendrological Park 'Sofievka' NAS of Ukraine, Uman 20300, Ukraine. Faculty of Fisheries Technology and Aquatic Resources, Maejo University, Chiang Mai, Thailand. Department of Botany, APC Roy Government College, Darjeeling, West Bengal, India. Department of Botany, Government College (GC) University, Lahore 54000, Pakistan. Department of Biology, Faculty of Basic Science, Shahed University, Tehran, Iran. Forest Pathology Division, Forest Research Institute, Dehradun 248006, Uttrakhand, India. Forest Fire Laboratory, Department of Silviculture, Faculty of Forestry, Bogor Agricultural University, Bogor 16980, West Java, Indonesia.

Beatriz Bolívar Cimé

Instituto de Ecología A.C., Unidad de Servicios Profesionales Altamente Especializados, Carretera Antigua Xalapa-Coatepec. C.P. 91520, Mexico.

Bhargavi Srinivasulu

Department of Zoology, College of Science, Osmania University, Hyderabad 500007, Andhra Pradesh, India.

Bhavbhuti Parasharya

Biological Control Laboratory Building, Anand Agricultural University, Anand 388 110, Gujarat, India. Herbarium and Crude Drug Repository Section, Plant Biotechnology Division, Indian Institute of Integrative Medicine, Jammu 180001, Jammu and Kashmir, India.

Bikarma Singh Bin Kang Brij Gopal C.K. Pradeep Christopher Philipson Cristina Fernández Daniel Bennett Devarajan Natarajan Dilip Kumar Jha Dong Shiyong Eka Meutia Sari Elsad Huseyin Ertugrul Sesli Faiza Abbasi Faruk Selcuk Farzam Tavankar

Fisheries College, Jimei University, Xiamen, China. Centre for Inland Waters in South Asia, Jaipur 302017, Rajasthan, India. Plant Systematics and Evolutionary Science Division, Jawaharlal Nehru Tropical Botanic Garden & Research Institute (JNTBGRI), Thiruvananthapuram 695562, Kerala, India Institute of Evolutionary Biology and Environmental Studies, Winterthuerstrasse 190, CH8057, Zurich, Switzerland. Lourizan Forestry Research Center, Xunta de Galicia, Pontevedra, Spain. Mampam Conservation, 818 Edades, 1st Street Lahug, Cebu City, Philippines. Department of Biotechnology, Periyar University, Salem 636011, Tamil Nadu, India. Andaman and Nicobar Centre for Ocean Science and Technology, National Institute of Ocean Technology, Port Blair-744103, Andaman and Nicobar Island, India. College of Tourism and Geography Science, Yunnan Normal University, Kunming 650092, Yunnan, China. Department of Animal Science, Faculty of Agriculture, Syiah Kuala University, Banda Aceh 23111, Aceh, Indonesia. Department of Biology, Faculty of Arts and Sciences, Ahi Evran University, 40100 Kırşehir, Turkije. Department of Biology, Fatih Faculty of Education, Karadeniz Technical University, Sogutlu61335, Trabzon, Turkije. Aligahr Muslim University, Aligarh, Uttar Pradesh, India. Department of Biology, Faculty of Arts and Sciences, Ahi Evran University, 40100 Kırşehir, Turkije. Department of Forestry, Khalkhal Branch, Islamic Azad University, Khalkhal, Iran.


A-6 Gopal Shukla Hari Prasad Aryal Hassan Pourbabaei Hawis Madduppa Hery Suhartoyo Hsiu-Lin Huang I Made Sudiana Iskandar Z Siregar Iva Apostolova Jian Liu Kanad Das Kateryna Kon Kiomars Sefidi Laura Nahuelhual Libby Liggins Luis Daniel Avila Cabadilla

Luís Filipe Dias e Silva M.N. Bhajbhuje Mahdi Kolahi Mahendra K. Rai Mahesh Kumar Adhikari Manoj Kale Margaretha Rahayuningsih Maria Betiana Angulo Maria Helena Alves Matthew Struebig Mehdi Heydari Mohammad Naghi Adel Mohammed S.A. Ammar Mohan Kukreti Mohsen Javanmiri Pour P.M. Mohan Pace Loretta Giuseppina Pamela J. Schofield Paulo Teixeira Lacava Rajesh Kumar

Department of Forestry, Uttar Banga Krishi Viswavidyalaya, Pundibari-736165, West Bengal, India. Bhairahawa Multiple Campus, Tribhuvan University, Siddarthanagar, Rupandehi, Lumbini, Nepal. Department of Forestry, Faculty of Natural Resources, University of Guilan, Somehsara, Guilan, Iran. Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, Bogor Agricultural University, Bogor 16680, West Java, Indonesia. Department of Forestry, Faculty of Agriculture, University of Bengkulu, Bengkulu 38371, Indonesia. Department of Biotechnology, MingDao University, Chang Hua 523, Taiwan. Division of Microbiology, Research Center for Biology, Indonesian Institute of Sciences, Cibinong-Bogor 16911, Indonesia. Forest Fire Laboratory, Department of Silviculture, Faculty of Forestry, Bogor Agricultural University, Bogor 16980, West Java, Indonesia. Bulgarian Academy of Sciences, Institute of Biodiversity and Ecosystem Research, Sofia-1113, Bulgaria. Institute of Ecology and Biodiversity, Department of Ecology, Shandong University, Shandong, China. Botanical Survey of India, Indian Botanic Garden, Howrah 711103, West Bengal, India. Department of Microbiology, Virology and Immunology, Kharkiv National Medical University, Kharkiv-61022, Ukraine. Faculty of Agriculture Technology and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran. Instituto de Economı´a Agraria, Universidad Austral de Chile, Casilla 567, Valdivia, Chile. School of Biological Sciences, University of Queensland, St. Lucia-4072, Queensland, Australia. Escuela Nacional de Estudios Superiores, Unidad Morelia (ENES Morelia), Universidad Nacional Autónoma de México (UNAM), Expropiación Petrolera INDECO, Morelia-Michoacán de Ocampo, C.P 58190, México. Departamento de Biologia, Universidade dos Açores, Ponta Delgada-9501-855, Portugal. Department of Botany, Jawaharlal Nehru Arts, Comm. and Science College, Nagpur 440 023, M.S., India. City University of Hong Kong, Hong Kong. Department of Biotechnology, Sant Gadge Baba Amravati University, Amravati 444602, Maharashtra, India. Adhikari Niwas, Alka Basti, Lainchour 21758, Kathmandu, Nepal. ASC College, University of Pune, Bengaluru 560010, Karnataka, India. Department of Biology, Faculty of Mathematics and Science, Semarang State University, Semarang 50229, Central Java, Indonesia. Instituto de Botánica del Nordeste (UNNE-CONICET), Sargento Cabral 2131, Casilla de Correo 209, 3400 Corrientes, Argentina. Universidade Federal do Piauí (UFPI), Campus Universitário Parnaíba-CP, Bairro Reis Velloso , CEP. 64202-020-Parnaíba/PI, Brazil. Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR. UK. Department of Forestry, Faculty of Agriculture, Ilam University, Ilam Province, Iran. Department of Forestry, Faculty of Natural Resources, University of Guilan, Somehsara, Iran. National Institute of Oceanography and Fisheries, Attaqa, Suez, Egypt. Department of Zoology and Environmental Science, Gurukula Kangri University, Haridwar, Uttarakhand, India. Faculty of Natural Resource, University of Tehran, Tehran, Iran. Department of Ocean Studies and Marine Biology, Pondicherry University, Brookshabad Campus, Port Blair 744112, Andamans and Nicobar Islands, India. Università degli Studi dell'Aquila, Via Giovanni di Vincenzo, 67100 L'Aquila, Italia. U.S. Geological Survey, 7920 NW 71st Street, Gainesville, FL, USA. Departamento de Morfologia e Patologia, Centro de Ciências Biológicas e da Saúde, Universidade Federal de São Carlos, São Carlos, CEP. 13565-905, SP, Brasil. Rain Forest Research Institute, Jorhat 785001, Assam, India.


A-7 Rehmanullah Khan Ricardo Moran Lopez Sabine Kleinsteuber Sandra Skowronek Senthilarasu Gunasekaran Sevvandi Jayakody Sharad Tiwari Shinya Numata Shweta Kumari Singh Sigit Wiantoro Soleiman Mohammadi Limaei Sri Rahayu Sudam Charan Sahu Sumit Srivastava Susan M. Tsang Susanta Chakraborty Sutarno Tanumi Kumar

Tarja Lehto Tatsuya Kaga Tirshem K. Kaushik Victor Rafael M. Coimbra Vladimir K. Golovanov Wibowo Mangunwardoyo William D. Anderson Jr. Xingzhong Liu Yahya Kooch Yiping Ren

Department of Botany, University of Science and Technology, Bannu, Pakistan. Departamento Anatomia, Biologia Cellular y Zoologia, Facultad de Ciencas, Universidad de Extremadura, Avda. de Elvas s/n 06071-Badajoz, Espana. Department of Environmental Microbiology, Helmholtz Centre for Environmental Research-UFZ, Leipzig 04318, Germany. Institute of Geography, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen 91058, Germany. Department of Environmental Science and Engineering, SRM University, Chennai, Tamil Nadu, India. Department of Aquaculture and Fisheries, Wayamba University of Sri Lanka, Makandura, Gonawila, Sri Lanka. Biotechnology Centre, J. N. Agricultural University, Adhartal, Jabalpur 482004, India. Department of Tourism Science, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, Hachiouji, Tokyo 192-0397, Japan. Biosystematic Laboratory, School of Environment Management, Guru Gobind Singh IP University, Dwarka, New Delhi, India. Museum Zoologicum Bogoriense, Research Center for Biology, Indonesian Institute of Sciences, Cibinong-Bogor 16911, Indonesia. Department of Forestry, Faculty of Natural Resources, University of Guilan, Somehsara, Iran. Bogor Botanical Gardens, Indonesian Institute of Sciences, Bogor 16911, West Java, Indonesia. Indian Institute of Science (IISC) Bangalore, Bangaluru 560012, Karnataka, India. Plant Ecology Laboratory, Department of Botany, D.D.U. Gorakhpur University, Gorakhpur 273009, Uttar Pradesh, India. Department of Biology, Skidmore College, Saratoga Springs, New York 12866, USA. Department of Zoology, Vidyasagar University, Midnapore 721102, West Bengal, India. Department of Biology, Faculty of Mathematics and Natural Sciences, Sebelas Maret University, Surakarta 57126, Central Java, Indonesia. Earth, Ocean, Atmosphere, Planetary Sciences and Applications Area (EPSA), Space Applications Centre (SAC), Indian Space Research Organization (ISRO), Jodhpur Tekra, Ahmedabad 380015, India. School of Forest Sciences, University of Eastern Finland (UEF), FI-80101 Joensuu, Finland. Osaka Animal Plants Ocean College, 1-7-3 Sangenyahigashi, Taisho, Osaka 551-0002, Japan. Department of Zoology, Kurukshetra University, Kurukshetra 136119, Haryana, India. Departamento de Micologia, Centro de Ciências Biológicas (CCB), Universidade Federal de Pernambuco (UFPE), Recife, CEP. 50670-420, Pernambuco, Brasil. I.D. Papanin Institute of Biology of Inland Waters, Russian Academy of Sciences (IBIW), Borok, 152742, Yaroslavl Oblast, Russia. Department of Biology, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok 16424, West Java, Indonesia. Grice Marine Biological Laboratory, 205 Fort Johnson, Charleston 29412-9110, South Carolina, USA. State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Chaoyang District, Beijing 100101, China. Department of Forestry, Faculty of Natural Resources, Tarbiat Modares University, Noor 4641776489, Mazandaran, Iran. Fisheries College, Ocean University of China, 5 Yushan Road, Qingdao 266003, China.


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Table of Contents Vol. 15, No. 1, Pp. 1-107, April 2014

GENETIC DIVERSTY Growth hormone genotyping by MspI restriction enzyme and PCR-RFLP method in Aceh cattle breed at Indrapuri District, Aceh Province, Indonesia SPECIES DIVERSTY Four newly recorded species of Dryopteridaceae from Kashmir valley, India Distribution of mangrove species reported as rare in Andaman and Nicobar islands with their taxonomical notes ECOSYSTEM DIVERSTY Endophytic fungi associated with endogenous Boswellia sacra How plant diversity features change across ecological species groups? A case study of a temperate deciduous forest in northern Iran A comparative study on plant diversity in alder (Alnus subcordata) stands of natural and plantation areas Zelkova carpinifolia reservoir from Hyrcanian Forests, Northern Iran, a new sacrifice of Ophiostoma novo-ulmi Structure and spatial pattern of land uses patches in the Zagros Mountains region in the west of Iran Reaction and fractal description of soil bio-indicator to human disturbance in lowland forests of Iran The threates on the biodiversity of Bisotun Wildlife Refuge and Bisotun Protected Area (BPA & BWR) in the west region of Iran Conservation status and distribution pattern of the Indus River Dolphin in River Beas, India Birds of Lansdowne forest division and adjacent suburban landscapes, Garhwal Himalayas, Uttarakhand, India: Community structure and seasonal distribution ETHNOBIOLOGY Diversity and use of ethnomedicinal plants in coastal Karnataka, India Plants utilization by the communities of Bharsar and adjoining area of Pauri Garhwal District, Uttarakhand, India SHORT COMMUNICATION A new variety of Pholiota microspora (Berk.) Sacc. (Agaricales) from Nepal A new record of Giganthias immaculatus Katayama, 1954 (Perciformes: Serranidae) from Indonesia

1-5

6-11 12-23

24-30 31-38 39-47 48-52 53-59 60-66 67-74 75-79 80-88

89-93 94-100

101-103 104-107

Vol. 15, No. 2, Pp. 109-259, October 2014 GENETIC DIVERSTY Genetic diversity of Daemonorops draco (Palmae) using ISSR markers

109-114

SPECIES DIVERSTY Diversity of coprophilous species of Panaeolus (Psathyrellaceae, Agaricales) from Punjab, India New records of Pteridophytes for Kashmir Valley, India Epidermal studies of three species of Vernonia Schreb. in Southern Nigeria

115-130 131-136 137-141


A-9 Morphometric variations of three species of harvested cephalopods found in northern sea of Aceh Province, Indonesia ECOSYSTEM DIVERSTY Short-term abandonment of human disturbances in Zagros Oak forest ecosystems: Effects on secondary succession of soil seed bank and aboveground vegetation The amount and quality of dead trees in a mixed beech forest with different management histories in northern Iran Inventory of trees in tropical dry deciduous forests of Tiruvannamalai district, Tamil Nadu, India Biology of black bass Micropterus salmoides (Lacepède, 1802) fifty years after the introduction in a small drainage of the Upper Paranå River basin, Brazil Spatial gradients in freshwater fish diversity, abundance and current pattern in the Himalayan region of Upper Ganges Basin, India Composition, abundance and diversity of the Family Cichlidae in Oyan Dam, Ogun State, Nigeria Biological and functional diversity of bird communities in natural and human modified habitats in Northern Flank of Knuckles Mountain Forest Range, Sri Lanka The effect of natural and planted forest stands on soil fertility in the Hyrcanian region, Iran Vegetation analysis of Samin watershed, Central Java as water and soil conservation efforts Effect of ecotourism on plant biodiversity in Chelmir zone of Tandoureh National Park, Khorasan Razavi Province, Iran ETHNOBIOLOGY Plant diversity in the homegardens of Karwar, Karnataka, India SHORT COMMUNICATION Rediscovery a remnant habitat of a critically endangered species, Hopea sangal, in Pasuruan District, East Java, Indonesia Effect of skid trails on the regeneration of commercial tree species at Balah Forest Reserve, Kelantan, Malaysia Flora, life form and chorological study of Quercus brantii habitat in Emamzadeh Abdullah woodland, Iran New records of Sonneratia spp. from Andaman and Nicobar Islands, India A new record of naturalized Selaginella uncinata (Desv.) Spring (Selaginellaceae) from Java, Indonesia

142-146

147-161 162-168 169-179 180-185 186-194 195-199 200-205 206-214 215-223 224-228

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236-239 240-244 245-250 251-260 261-268


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GUIDANCE FOR AUTHORS Aims and Scope Biodiversitas, Journal of Biological Diversity or abbreviated as Biodiversitas encourages submission of manuscripts dealing with all biodiversity aspects of plants, animals and microbes at the level of the gene, species, and ecosystem as well as ethnobiology. Article types The journal seeks original full-length research papers, reviews, and short communication. Manuscript of original research should be written in no more than 8,000 words (including tables and picture), or proportional with articles in this publication number. Review articles will be accommodated, while, short communication should be written in about 2,000 words, except for pre-study. Submission The journal only accepts online submission, through email to the editors at unsjournals@gmail.com. Submitted manuscripts should be the original works of the author(s). The manuscript must be accompanied by a cover letter containing the article title, the first name and last name of all the authors, a paragraph describing the claimed novelty of the findings versus current knowledge. Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract); and is not being considered for publication elsewhere. When a manuscript written by a group, all authors should read and approve the final version of the submitted manuscript and its revision; and agree the submission of manuscripts for this journal. All authors should have made substantial contributions to the concept and design of the research, acquisition of the data and its analysis; drafting of the manuscript and correcting of the revision. All authors must be responsible for the quality, accuracy, and ethics of the work. Ethics Author(s) must obedient to the law and/or ethics in treating the object of research and pay attention to the legality of material sources and intellectual property rights. Copyright If and when the manuscript is accepted for publication, the author(s) automatically agree to assign exclusive copyright of the accepted manuscript to Biodiversitas. Author(s) shall no longer be allowed to publish manuscript elsewhere, in whole or part, without permission. For the new invention, the authors suggested to manage its patent before publishing it. Open access The journal is committed to free-open access that does not charge readers or their institutions for access. Users are entitled to read, download, copy, distribute, print, search, or link to the full texts of articles, as long as not for commercial purposes. Acceptance The only articles written in English (U.S. English) are accepted for publication. Manuscripts will be reviewed by editors and invited reviewers according to their disciplines. Authors will generally be notified of acceptance, rejection, or need for revision within 1 to 2 months of receipt. The manuscript is rejected if the content does not in line with the journal scope, does not meet the standard quality, inappropriate format, complicated grammar, dishonesty (i.e. plagiarism, duplicate publications, fabrication of data, citations manipulation, etc.), or ignoring correspondence in three months. The primary criteria for publication are scientific quality and biodiversity significance. The accepted papers will be published in a chronological order. Uncorrected proofs will be sent to the corresponding author by e-mail as .doc or .docx files for checking and correcting of typographical errors. To avoid delay in publication, corrected proofs should be returned in 7 days. This journal biannually publishes in April and October. A charge There is free of charge for members of Society for Indonesian Biodiversity (SIB) and/or non-Indonesian author(s). But, the cost of each manuscript is IDR 450,000,- for Indonesian non-SIB members. Reprints The sample journal reprint is only available by special request. Additional copies may be purchased when ordering by sending back the uncorrected proofs by e-mail. Manuscript preparation Manuscript is typed on A4 (210x297 mm2) paper size, in two column for text (with 0.5 cm in the middle space) and a single column for broad tables and figures, single space, 10-point (10 pt) Times New Roman font. The margin text is 3 cm from the top, 2 cm from the bottom, and 1.8 cm from the left and right. Smaller lettering size can be applied in presenting table and figure (9 pt). Word processing program or additional software can be used, however, it must be PC compatible and Microsoft Word based (.doc or .docx). Scientific names of species (incl. subspecies, variety, etc.) should be written in italic, except for italic sentence. Scientific name (genera, species, author), and cultivar or strain should be mentioned completely for the first time mentioning it in the body text, especially for taxonomic manuscripts. Name of genera can be shortened after first mentioning, except generating confusion. Name of the author can be eliminated after first mentioning. For example, Rhizopus oryzae L. UICC 524, hereinafter can be written as R. oryzae UICC 524. Using trivial name should be avoided, otherwise generating confusion. Biochemical and chemical nomenclature should follow the order of the IUPAC - IUB. For DNA sequence, it is better used Courier New font. Symbols of standard chemical and abbreviation of chemistry name can be applied for common and clear used, for example, completely written butilic hydroxytoluene (BHT) to be BHT hereinafter. Metric measurement use IS denomination, usage other system should follow the value of equivalent with the denomination of IS first mentioning. Abbreviations set of, like g, mg, mL, etc. do not follow by dot. Minus index (m-2, L-1, h-1) suggested to be used, except in things like "perplant" or "per-plot". Equation of mathematics does not always can be written down in one column with text, in that case can be written separately. Number

one to ten are expressed with words, except if it relates to measurement, while values above them written in number, except in early sentence. The fraction should be expressed in decimal. In the text, it should be used "%" rather than "percent". Avoid expressing ideas with complicated sentence and verbiage, and used efficient and effective sentence. Title of the article should be written in compact, clear, and informative sentence, preferably not more than 20 words. Name of author(s) should be completely written. Name and institution address should also be completely written with street name and number (location), postal code, telephone number, facsimile number, and email address. Manuscript written by a group, author for correspondence along with address is required. First page of the manuscript is used for writing above information. Abstract should not be more than 200 words. Keywords is about five words, covering scientific and local name (if any), research theme, and special methods which used; and sorted from A to Z. All important abbreviations must be defined at their first mention. Running title is about five words. Introduction is about 400-600 words, covering the background and aims of the research. Materials and Methods should emphasize on the procedures and data analysis. Results and Discussion should be written as a series of connecting sentences, however, for manuscript with long discussion should be divided into subtitles. Thorough discussion represents the causal effect mainly explains for why and how the results of the research were taken place, and do not only re-express the mentioned results in the form of sentences. Concluding sentence should be given at the end of the discussion. Acknowledgments are expressed in a brief; all sources of institutional, private and corporate financial support for the work must be fully acknowledged, and any potential conflicts of interest are noted. Figures and Tables of maximum of three pages should be clearly presented. Title of a picture is written down below the picture, while title of a table is written above the table. Colored figures can only be accepted if the information in the manuscript can lose without those images; chart is preferred to use black and white images. Author could consign any picture or photo for the front cover, although it does not print in the manuscript. All images property of others should be mentioned source. There is no appendix, all data or data analysis are incorporated into Results and Discussions. For broad data, it can be displayed on the website as a supplement. References Author-year citations are required. In the text give the authors name followed by the year of publication and arrange from oldest to newest and from A to Z. In citing an article written by two authors, both of them should be mentioned, however, for three and more authors only the first author is mentioned followed by et al., for example: Saharjo and Nurhayati (2006) or (Boonkerd 2003a, b, c; Sugiyarto 2004; El-Bana and Nijs 2005; Balagadde et al. 2008; Webb et al. 2008). Extent citation as shown with word "cit" should be avoided. Reference to unpublished data and personal communication should not appear in the list but should be cited in the text only (e.g., Rifai MA 2007, pers. com. (personal communication); Setyawan AD 2007, unpublished data). In the reference list, the references should be listed in an alphabetical order (better, if only 20 for research papers). Names of journals should be abbreviated. Always use the standard abbreviation of a journal's name according to the ISSN List of Title Word Abbreviations (www.issn.org/222661-LTWA-online.php). The following examples are for guidance. Journal: Saharjo BH, Nurhayati AD. 2006. Domination and composition structure change at hemic peat natural regeneration following burning; a case study in Pelalawan, Riau Province. Biodiversitas 7: 154-158. Book: Rai MK, Carpinella C. 2006. Naturally Occurring Bioactive Compounds. Elsevier, Amsterdam. Chapter in book: Webb CO, Cannon CH, Davies SJ. 2008. Ecological organization, biogeography, and the phylogenetic structure of rainforest tree communities. In: Carson W, Schnitzer S (eds) Tropical Forest Community Ecology. Wiley-Blackwell, New York. Abstract: Assaeed AM. 2007. Seed production and dispersal of Rhazya stricta. 50th annual symposium of the International Association for Vegetation Science, Swansea, UK, 23-27 July 2007. Proceeding: Alikodra HS. 2000. Biodiversity for development of local autonomous government. In: Setyawan AD, Sutarno (eds) Toward Mount Lawu National Park; Proceeding of National Seminary and Workshop on Biodiversity Conservation to Protect and Save Germplasm in Java Island. Sebelas Maret University, Surakarta, 17-20 July 2000. [Indonesian] Thesis, Dissertation: Sugiyarto. 2004. Soil Macro-invertebrates Diversity and Inter-Cropping Plants Productivity in Agroforestry System based on Sengon. [Dissertation]. Brawijaya University, Malang. [Indonesian] Information from internet: Balagadde FK, Song H, Ozaki J, Collins CH, Barnet M, Arnold FH, Quake SR, You L. 2008. A synthetic Escherichia coli predator-prey ecosystem. Mol Syst Biol 4: 187. www.molecularsystemsbiology.com


ISSN: 1412-033X E-ISSN: 2085-4722

GENETIC DIVERSTY The study of genetic diversity of Daemonorops draco (Palmae) using ISSR markers

109-114

SPECIES DIVERSTY Diversity of coprophilous species of Panaeolus (Psathyrellaceae, Agaricales) from Punjab, India New records of Pteridophytes for Kashmir Valley, India Epidermal studies of three species of Vernonia Schreb. in Southern Nigeria Morphometric variations of three species of harvested cephalopods found in northern sea of Aceh Province, Indonesia

115-130 131-136 137-141 142-146

ECOSYSTEM DIVERSTY Short-term abandonment of human disturbances in Zagros Oak forest ecosystems: Effects on secondary succession of soil seed bank and aboveground vegetation The amount and quality of dead trees in a mixed beech forest with different management histories in northern Iran Inventory of trees in tropical dry deciduous forests of Tiruvannamalai district, Tamil Nadu, India Biology of black bass Micropterus salmoides (Lacepède, 1802) fifty years after the introduction in a small drainage of the Upper Paranå River basin, Brazil Spatial gradients in freshwater fish diversity, abundance and current pattern in the Himalayan region of Upper Ganges Basin, India Composition, abundance and diversity of the Family Cichlidae in Oyan Dam, Ogun State, Nigeria Biological and functional diversity of bird communities in natural and human modified habitats in Northern Flank of Knuckles Mountain Forest Range, Sri Lanka The effect of natural and planted forest stands on soil fertility in the Hyrcanian region, Iran Vegetation analysis of Samin watershed as water and soil conservation efforts Effect of ecotourism on plant biodiversity in Chelmir zone of Tandoureh National Park, Khorasan Razavi Province, Iran ETHNOBIOLOGY Plant diversity in the homegardens of Karwar, Karnataka, India

147-161 162-168 169-179 180-185 186-194 195-199 200-205 206-214 215-223 224-228

229-235

SHORT COMMUNICATION

Rediscovery of a remnant habitat of the critically endangered species, Hopea sangal, in Pasuruan District, East Java, Indonesia Effect of skid trails on the regeneration of commercial tree species at Balah Forest Reserve, Kelantan, Malaysia Flora, life form and chorological study of Quercus brantii habitat in Emamzadeh Abdullah woodland, Iran New records of Sonneratia spp. from Andaman and Nicobar Islands, India A new record of naturalized Selaginella uncinata (Desv.) Spring (Selaginellaceae) from Java, Indonesia

236-239 240-244 245-250 251-260 261-268

Front cover: Sonneratia caseolaris (PHOTO: PADISAMY RAGAVAN)

Published semiannually

PRINTED IN INDONESIA ISSN: 1412-033X

E-ISSN: 2085-4722


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