Agricultural Ways: analysis of Ecological Corridors the Agricultural Environment Lombardy Region
Group 1- EcoCor: Babu Anu Buoncompagno Maria Stella Kobak Bilge Sukathirtha Apoorva Roy Roniya
in of
Prof Mattia Previtali Tutor Fabio Manfredini Tutor Luca Carboni
ENVIRONMENTAL ANALYSIS AND LANDSCAPE MAPPING
10-01-2022
1-Analysis of the Agricultural Areas
Percentual of Agricultural Soil Class 2.1 : Simple Seminatives
Rotational Cultivations: 31% Rice Cultivations: 4,9%
Class 2.2 : Permanent Cultures
Vine Cultivations: 1,2% Fruit Cultivations: 0,3% Olive Cultivations: 0,1% Arboriculture: 1,6%
Class 2.3 : Stable Meadows
Stable meadows: 4,7%
Percentural of Agricultural Soil
Percentual of Natural Soil
Type of Productive Woodland Soil Main Species
Landscape Types
2-Matrix,Patches and Corridor Analysis for Agricultural Areas
How to calculate Matrix, Patches and Corridor indexes with LeCos plugin 1- Rasterize
Before starting, we should convert the shapefile that we used from vector to raster, in order for the plugin to read it. A difference between LeCos and Fragstat is that Fragstat can use both vector and raster files, while LeCos can work only with raster files.
2- Classify
The second step is to make sure that all the information that we need are present. In our case, the DUSAF has 41 classes, so the total number of classes in the raster should also be 41
3- Classify
In the end, we can consult the plugin and calculate the matrix patches and corridor class, they will be defined as their class number so it’s important to consult also the legenda, to assure ourself of the result
Overall Core Area
Number of Patches
Simple seminatives
360947
Edge Lenght
Patch Density
96800 km
80%
Edge Density
Patch Cohesion Index
40%
75%
How to calculate Fragmentation index with Fragscape plugin 1- Parameters
The first operation is to save our settings into a new cartel. Fragstat is a more complex plugin than LeCos, it is necessary to create a proper settings for it and save it in a new destination
2- Land Use
The second step is to recover our land use statistics and decide which ones to use, in our case we select just the agricultural soil uses from the DUSAF map and upload it, the result will be a merged file of just the selected layers
3- Additional data
An extra step that we used is to add new layers to the merged layer, we can decide to classify the new additons as fragmentations or as natural layers, in our case we added selvicultural destinations and roads
4- Result
In the end, we can update our map with a fragmentaion map index
3-Analysis of the Protected Areas
Type of Productive Woodland Soil Protection Areas
Regional Ecological Web
4-Matrix,Patches and Corridor Analysis for Protected Agricultural Areas
Framentation Index for protected area
Overall Core Area
Number of Patches
Regional Parks
26097
Edge Lenght
Patch Density
96800 km
80%
Edge Density
Patch Cohesion Index
40%
75%
5-Conclusions
Analysis of the Agricultural Areas Agricultural Soil from Land use classification
Class 2.1 : Simple Seminatives
SUMMARY : This part of the analysis gave us clear indication of the percentage of the Rotational cultivation and rice cultivation in the selected region
Class 2.2 : Permanent Cultures
SUMMARY : Here we see the percentage of the vine, fruit, olive and arboriculture cultivation in which arboriculture holds the highest coverage.
Class 2.3 : Stable Meadows
SUMMARY : We clearly see that the stable meadow occupying a major part, which makes regione lombardy rich in flora and fauna.
INFERENCE : This part of the analysis indicated an interesting data of the various agricultural soil derived from different Land Use Classification. Therefore, the regione lombardy has maximum soil of rotational cultivation with 31%.
Agricultual, natural and urban gradient
Productive Woodland Soil from Selvicultural destinations
Percentural of Agricultural Soil
SUMMARY : The map gives an understanding of the spread of agricultural soil throughout the lombardy region. The data shows that this soil spreads largely at the southern region which is closer to the water bodies.
Main Species
SUMMARY : This is an unique analysis of the woodland soil which has the capacity to house various woodland species which are wild and native to the region. This soil occupies the northern natural green land.
Percentual of Natural Soil
SUMMARY : This unique analytical data reads about the natural soil in the lombardy region which houses a variety of flora and fauna. This soil is majorly distributed at the northern region towards the mountains.
Landscape Types
SUMMARY : There are various types of landscape that we could observe during this analysis. The valleys are distributed at the northern hilly region,while the Plain landscape is distributed at the southern delta region.
INFERENCE : As a whole, the region of lombardy has an equal distribution of the agricultural and natural soil. The northern part being rich in natural and the southern part of agricultural soil, creating a balance in the soil distribution.
INFERENCE : In light of this information, we could derive data regards to the woodland soil and land types in this region. This data gives us a overall picture of the strength and distribution of the landsoil types supporting the numerous landforms as marked.
Analysis of the Protected Areas Type of Productive Woodland Soil
Matrix,Patches and Corridor Analysis for Agricultural Areas
Matrix,Patches and Corridor Analysis for Protected Agricultural Areas Protection Areas
SUMMARY : In this map we have considered the perspective of the natural and protected open areas which inturn gives a graphical understanding of their distribution pattern.
Regional Ecological Web
SUMMARY : Upon considering all the landscape related facts, the understanding of the ecological tissue in a wider scale became an important part of analysing the region, as shown in the map.
INFERENCE : To summarize, the distribution of the natural and protected public areas is equally proportionate to the spread of the ecological web. Both these data go hand in hand to understand and learn the dispersal of the ecosystem in the lombardy region.
SUMMARY : These calculations are an important analytical data for understanding the distribution in larger scale. With the help of plugins, one can convert the shapefile to vector or raster format to derive the total number accuractely. With the support of DUSAF, we could observe the overall core area, number of patches, edge length, patch density, edge density and patch cohesion index.
SUMMARY : With the help of the complex plugin LeCos, we could derive the parameters of the agricultural soil. Further with the help of DUSAF map, we oevrlayed the land use statistics and merged the necessary layers. In addition, we also added the selvicultural destinations and roads which could help us conclude to the fragmentation index map.
INFERENCE: The calculation of the fragmentation is an important start for any project related to land and landuse. This data plays a major role in the current industry, to understand the history, present and the growing condition of the core, patch and edges of any region. The constant change in the landuse gives more scope to analysis and derive data through these sources.