Balneário de Cauamé and road linking Brasil and Venezuela. Boa Vista, Roraima, Brasil.
Urban district on the outskirts of Manaus encroaching on the forest. Manaus, Brasil.
© Tiago Orihuela, 2006
© Alberto César de Souza Araújo/ISA, 2007
City of Altamira on the shores of the Xingu where the Belo Monte Hydroelectric Dam (UHE) is being built. Pará, Brasil. © Marcelo Salazar/ISA, 2011
Carajás, the world’s largest open pit iron mine. Pará, Brasil.
Amazonas river during one of the worst droughts registered in Amazonia. Barreirinha, Amazonas, Brasil. © Daniel Beltra/Greenpeace, 2005
Alunorte, the world’s largest aluminum refinery. Barcarena, Pará, Brasil.
© Paulo Santos, 1999
Waste disposal from the Alunorte refinery. Barcarena, Pará, Brasil.
Tucuruí Hydroelectric Plant, on the Tocantins river. Pará, Brasil.
Aluminum ingot storage zone owned by Albras. Barcarena, Pará, Brasil.
© Paulo Santos, 2008
© Paulo Santos, 2002
© Paulo Santos, 1996
© Paulo Santos, 2006
Bogotá (Colombia); Caracas (Venezuela); Lima (Perú); Paramaribo (Suriname); Quito (Ecuador); Santa Cruz de La Sierra (Bolivia); Belém and São Paulo (Brasil) 2012 Mechanized soya harvesting. Campo Verde, Mato Grosso, Brasil. © Paulo Fridman/Pulsar Imagens, 2008
Cattle ranch previously forestland, between Querência and São José do Xingu. Mato Grosso, Brasil. © Federico Bellone, 2010
Yard of one of the 140 logging companies established in Tailândia, in 2008. Pará, Brasil. © Paulo Santos, 2008
Amazonia under Pressure
The AMAZONIAN NETWORK OF GEOREFERENCED SOCIO-ENVIRONMENTAL INFORMATION is a space for the coordination and exchange of georeferenced socioenvironmental information, for use by processes that positively link collective rights to the valorization and sustainability of the socioenvironmental diversity of the Amazonian region. The main objective of RAISG since its foundation in 1996 has been to stimulate and facilitate cooperation between institutions working with georeferenced socioenvironmental information systems in Amazonia, with a methodology based on the coordination of joint efforts, through an accumulative, decentralized and public process of exchanging, producing and disseminating information.
© RAISG Amazonian Network of Georeferenced Socio-environmental Information www.raisg.socioambiental.org
Suggested format for citing the document: RAISG, 2012. Amazonia under Pressure. 68 pages (www.raisg.socioambiental.org)
General Coordinator: Beto Ricardo (ISA) Assistant General Coordinator: Alicia Rolla (ISA) General workgroup RAISG/Atlas: Adriana Sarmiento-Dueñas (Gaia), Alicia Rolla (ISA), Beto Ricardo (ISA), Carla Soria (IBC), Cicero Cardoso Augusto (ISA), Karla Beltrán (EcoCiencia), Katia Regina Pereira (Imazon), Maria Oliveira-Miranda (Provita), Melvin Uiterloo (ACT Suriname), Pedro Tipula (IBC), Ricardo Abad (ICV), Saul Cuellar (FAN), Víctor López (EcoCiencia) Responsible for cartographic thematic analysis: Mining: Adriana Sarmiento-Dueñas (Gaia) and Katia Regina Pereira (Imazon) Hydroelectric Plants: Saul Cuellar (FAN) and Ricardo Abad (ICV) Fires (Hot Spots): Saul Cuellar (FAN) and Ricardo Abad (ICV) Oil and Gas: Pedro Tipula (IBC) and Carla Soria (IBC) Roads: Cicero Cardoso Augusto (ISA) and Maria Oliveira-Miranda (Provita) Deforestation: Cicero Cardoso Augusto (ISA) and Maria Oliveira-Miranda (Provita) Workgroup RAISG/Deforestation: Carlos Souza Jr. (Imazon), Cicero Cardoso Augusto (ISA), João Victor Siqueira (Imazon), Maria Oliveira-Miranda (Provita), Melvin Uiterloo (ACT Suriname), Milton Romero-Ruíz (Gaia), Sandra Ríos (IBC), Saul Cuellar (FAN), Sergio Zambrano (IVIC); with the collaboration of: Adriana Sarmiento-Dueñas (Gaia), Andrés Llanos (Gaia), Boris Hinojosa Guzman, Elimar Márquez (Provita), Fabian Santos (EcoCiencia), Jhonny Arroyo (FAN), Jorge Fernández (IBC), José Saito (IBC), Marlene Quintanilla (FAN),Rosa María de Oliveira (Provita), Sara Espinoza (FAN), Suzette Flantua Image research: Claudio Aparecido Tavares (ISA), Pedro Tipula (IBC), Víctor López (EcoCiencia) Map production: Alicia Rolla (ISA), Adriana Sarmiento (FGA) and Carla Soria (IBC) Editing: Alicia Rolla (ISA) (maps and text); Beto Ricardo (ISA) (text and photos); Daniel Larrea (FAN) (text); Janette Ulloa (EcoCiencia) (text), Natalia Hernández (text) Organization of first draft of texts: Ramón Laborde and Natalia Hernández Technical revision collaborators: Ermeto Tuesta (IBC), Maria Fernanda Prado (ISA), Marisa Gesteira Fonseca (ISA), Renata Aparecida Alves (ISA), Sandra Ríos (IBC), Víctor López (EcoCiencia)
EcoCiencia Pasaje Estocolmo E2- 166 y Av. Amazonas – (Sector El Labrador - Norte de Quito). Tel: (593-2) 2 410 781 / 2 410 791 / 2 410 489 http://www.ecociencia.org FAN - Fundación Amigos de la Naturaleza Km.7 1/2 Doble Vía La Guardia – Bolivia Tel: +591-3-3556800 http://www.fan-bo.org
Text revision: Richard Smith (IBC) Revision and standardization of information sources: Leila Maria Monteiro(ISA) Revision and standardization of abbreviations: Francis Miti Nishiyama (ISA) Graphic design and layout: Vera Feitosa (ISA) Cover: Beto Ricardo and Roberto Strauss Intitutional coordinators: Beto Ricardo (ISA), Carlos Souza Jr. (Imazon), Gwendolyn Emanuels-Smith (ACT-Suriname), Daniel Larrea (FAN), Janette Ulloa (EcoCiencia), Jon Paul Rodriguez (Provita y IVIC), Laurent Micol (ICV), Martín Von Hildebrand (Gaia), Richard Smith (IBC). Special participation : Biviany Rojas Garzón, Fernando Salazar, Gustavo Faleiros (Oecoamazonia), Roxroy Bollers (Iwokrama) Thanks to: Alberto César de Souza Araújo, Daniel Beltra, Federico Bellone, Félix Grande Bagazgoita, Fernando Soría, Fundación Pachamama/Quito, Heinz Plenge, Juan Calles, Marcelo Pietrafita, Margi Moss/Projeto Brasil das Águas, Marizilda Cruppe, Odair Leal, Pablo Baños/Fundación Avina, Paulo Santos, Pedro Martinelli, Peetsaa/ Arquivo CGIIRC/Funai/2011, Prensa em Redes, Rhett A. Butler/Mongabay, Ricardo Stuckert, Roberto Smeraldi, Rodrigo Botero García, Rogério Assis, Rubén Ramírez/Proyecto Andes Agua Amazonía, Sérgio Vignes, Szymon Kochanski, Tasso Azevedo, Taylor Nunes, Thomas Müller/SPDA, Tiago Orihuela, Ton Koene, Vincent Carelli/Vídeo nas Aldeias
ICV - Instituto Centro de Vida Rua Américo Salgado, 1890 CEP: 78045-055 Cuiabá – Mato Grosso, Brasil Tel./Fax: (55 65) 3621-3148 http://www.icv.org.br IMAZON - Instituto do Homem e do Meio Ambiente da Amazônia Rua Domingos Marreiros, 2020 CEP: 66.060-160 Belém – Pará, Brasil Tel: (55 91) 3182-4000 Fax: (55 91) 3182-4027 http://www.imazon.org.br IVIC - Instituto Venezolano de Investigaciones Científicas Centro de Ecología, Laboratorio de Biología de Organismos San Antonio de los Altos, Carretera Panamericana, Km 11, Altos de Pipe, Estado Miranda – Caracas, Venezuela Tel: (58 212) 504-1888 / 504-1617 http://www.ivic.gob.ve/ecologia/index.php?mod=lab.php&labid=biolorg
Dados Internacionais de Catalogação na Publicação (CIP)
Provita Av. Rómulo Gallegos c/Av. 1 Santa Eduvigis, Edif. Pascal, Torre A, Piso 17, Ofic. 171-A, Caracas, Venezuela Tel: (58 212) 286-3169, (58 212) 286-1077 http://www.provita.org.ve
(Câmara Brasileira do Livro, SP, Brasil)
Amazonia under pressure / RAISG - Amazonian Network of Georeferenced Socio-environmental Information ; [general coordinator Beto Ricardo (ISA) ; translation David Rodgers]. -- São Paulo : Instituto Socioambiental, 2013.
ISA – Instituto Socioambiental Avenida Higienópolis, 901 – sala 30 CEP: 01238-001 São Paulo – SP, Brasil Tel.: (55 11 ) 3515-8900 Fax: (55 11 ) 3515-8904 http://www.socioambiental.org
Título original: Amazonía bajo presión Vários autores. Bibliografia
13-104225 CDD-304.2709811 Índices para catálogo sistemático: 1. Amazônia : Biodiversidade : Aspectos socioambientais 304.2709811
Coordinator
Supporters of RAISG:
24
The geographical boundaries of Amazonia Protected Natural Areas and Indigenous Territories Amazonian Basins General Methodology BIN1. Cattle ranching and agriculture in the expasion of Amazonian frontiers BIN2. Logging
ROADS 17 18 19 20 21 22 23
DEAL - Direction de l’environnement, de l’aménagement et du logement - Guyane Route du Vieux Port – BP 603 – 97 306 CAYENNE CEDEX Tel.: 0594 39 80 00 http://www.guyane.ecologie.gouv.fr
IBC - Instituto del Bien Común Av. Petit Thouars 4377 – Lima 18 – Perú Tel.: (511) 440-0006 / 421-7579 Fax: (511) 440-6688 http://www.ibcperu.org/
INTRODUCTION 9 11 13 14 15
16
Translation: David Rodgers
1. Amazônia - Aspectos sociais 2. Amazônia - Clima 3. Amazônia - Condições econômicas 4. Amazônia - Condições sociais 5. Amazônia - Descrição 6. Desenvolvimento sustentável 7. Problemas sociais 8. Reflorestamento I. RAISG - Amazonian Network of Georeferenced Socio-environmental Information. II. Ricardo, Beto.
9
MRD1. Roads in Amazonia MRD2. Roads in Amazonia, by type MRD3. Road density by country in Amazonia BRD1. Roads in the Amazon Integration and Development Axis Projects GRD1. Road distribution in Amazonia, by type TRD1. Road lengths in Amazonia, by type and country TRD2. Road density in Amazonia, by type and country TRD3. Road length and density in the Amazonian macro-basins, by type GRD2. Road distribution in Amazonia, by type and country MRD4. Road density by Amazonian macro-basin MRD5. Road density by Amazonian sub-basin MRD6. Road density by PNA in Amazonia TRD4. The ten Amazonian sub-basins with the highest road density GRD3. Road distribution in PNA in Amazonia, by administrative sphere and type of use TRD5. Length of road types in PNA in Amazonia, by administrative sphere and type of use TRD6. Density of road types in PNA in Amazonia, by administrative sphere and type of use TRD7. The ten PNAs (with areas over 100 km²) with the highest road density in Amazonia TRD8. Length and density of road types in Amazonian ITs, by territory type BRD2. IIRSA road between Pucallpa and Cruzeiro do Sul: a project in question MRD7. Road density by IT in Amazonia TRD9. Density of road types in IT in Amazonia, by country and territory type TRD10. The two ITs (with an area over 100 km²) with highest road density in each country in Amazonia GRD4. Road distribution in ITs in Amazonia, by country and territory type BRD3. Development versus conservation: the TIPNIS case in Bolivia
44
MOG1. Oil and Gas in Amazonia MOG2. Oil/gas blocks in Amazonia, by activity phase BOG1. The main oil companies with interests in Amazonia TOG1. Oil/gas activity phases in Amazonia, by country TOG2. Quantity and surface area of oil/gas blocks in Amazonia, by activity phase TOG3. Quantity and surface area of oil/gas blocks in Amazonia, by country BOG2. State, oil and Indigenous Territories in Ecuadorian Amazonia GOG1. Distribution of surface area of oil/gas blocks in Amazonia, by activity phase and country TOG4. Surface area of oil/gas blocks in Amazonia, by activity phase and country TOG5. The ten Amazonian sub-basins with the largest overlap of oil/gas blocks MOG3. Proportion of oil/gas blocks per macro-basin in Amazonia MOG4. Proportion of oil/gas blocks per sub-basin in Amazonia MOG5. Proportion of oil/gas blocks in PNAs in Amazonia TOG6. Surface area of oil/gas blocks in PNAs in Amazonia, by country GOG2. Proportion of PNAs in Amazonia with oil/gas blocks, by country and activity phase TOG7. Surface area of oil/gas blocks in PNAs in Amazonia, by activity phase, administrative sphere and type of use GOG3. Proportion of ITs in Amazonia with oil/gas blocks, by country and activity phase TOG8. Surface area of oil/gas blocks in ITs in Amazonia, by activity phase, administrative sphere and type of use BOG3. Oil and gas surveying in the sedimentary basins of Acre and Madre de Dios MOG6. Proportion of oil/gas blocks in ITs in Amazonia MMN1. Mining in Amazonia MMN2. Mining activity phases in Amazonia, by country BMN1. The main companies and the largest mining ventures TMN1. Categories of mining blocks in the countries of Amazonia TMN2. Quantity and surface area of mining blocks in Amazonia, by category GMN1. Distribution of mining blocks in Amazonia, by activity phase TMN3. Quantity and surface area of mining blocks in Amazonia, by country GMN2. Distribution of mining blocks in Amazonia, by activity phase and country TMN4. Surface area of mining blocks in macro-basins in Amazonia, by category GMN3. Distribution of mining blocks in Amazonia, by macro-basin TMN5. The ten sub-basins with the largest surface area covered by mining blocks in Amazonia MMN3. Proportion of mining blocks per country in Amazonia MMN4. Proportion of mining blocks per macro-basin in Amazonia MMN5. Proportion of mining blocks per sub-basin in Amazonia TMN6. Surface area of mining blocks in PNAs in Amazonia, by administrative sphere and type of use GMN4. Distribution of mining blocks in PNAs in Amazonia, by administrative sphere and type of use GMN5. Distribution of mining blocks in PNAs in Amazonia, by country and activity phase GMN6. Distribution of mining blocks in ITs in Amazonia, by country and activity phase MMN6. Proportion of mining blocks per PNA in Amazonia BMN2 . The new gold rush in Amazonia MMN7. Proportion of mining blocks by ITs in Amazonia BMN3. Mining, participation and social mobilization in Ecuador
MFI1. Fires in Amazonia MFI2. Fires in Amazonia in the period 2000-2010 (quantity per 10 km2 squares) GFI1. Fires recorded annually in Amazonia over the period 2000-2010 GFI2. Fires recorded monthly in Amazonia over the period 2000-2010 GFI3. Annual quantity of fires recorded in Brazilian Amazonia over the period 2000-2010 TFI1. Fires recorded in the macro-basins of Amazonia over the period 2000-2010 BFI1. Xingu Indigenous Park on the fire path MFI3. Quantity of fires per country in Amazonia (2000-2010) MFI4. Quantity of fires per macro-basin in Amazonia (2000-2010) MFI5. Quantity of fires per sub-basin in Amazonia (2000-2010) TFI2. Ten sub-basins of Amazonia with the highest number of fires (2000-2010) MFI6. Quantity of fires per PNA in Amazonia (2000-2010) GFI4. Annual distribution of fires in Amazonia, by country, except Brasil (2000-2010) TFI3. Fires recorded in PNAs in Amazonia (2000-2010) TFI4. Fires recorded in PNAs in Amazonia by country (2000-2010) TFI5. The ten PNAs of Amazonia with the highest number of fires in the period 2000-2010 TFI6. Fires recorded in ITs in Amazonia (2000-2010) GFI5. Distribution of fires in ITs in Amazonia, by type of territory (2000-2010) TFI7. Fires in ITs in Amazonia, by country (2000-2010) TFI8. The ten ITs in Amazonia with the highest density of fires in the period 2000-2010 MFI7. Quantity of fires per IT in Amazonia (2000-2010)
50 DEFORESTATION 51 52 53 54 55 56 57 58 59
30 MINING 31 32 33 34 35 36
MHP1. Hydroelectric plants in Amazonia THP1. Phases of hydroelectric plants per country in Amazonia GHP1. Distribution of hydroelectric plants in Amazonia, by type and situation (threat) THP2. Hydroelectric plants with capacity > 300 MW in operation and under construction in Amazonia MHP2. Hydroelectric plants in Amazonia, by type and activity phase BHP1. From the Andes to Amazonia: water in the mountain forests THP3. Hydroelectric plants with capacity >300 MW projected in Amazonia THP4. Quantity of hydroelectric plants per country in Amazonia, by type and phase THP5. Quantity of hydroelectric plants per macro-basin in Amazonia, by type and phase THP6. The ten sub-basins with the highest number of hydroelectric plants in Amazonia, by type and phase MHP3. Quantity of hydroelectric plants per country in Amazonia MHP4. Quantity of hydroelectric plants per macro-basin in Amazonia MHP5. Quantity of hydroelectric plants per sub-basin in Amazonia MHP6. Quantity of hydroelectric plants per PNA in Amazonia BHP2. Small hydroelectric plants in the Juruena basin (Mato Grosso, Brasil) THP7. Quantity of hydroelectric plants in PNAs in Amazonia, by administrative sphere and type of use THP8. Quantity of hydroelectric plants in PNAs in Amazonia THP9. Quantity of hydroelectric plants in ITs in Amazonia, by type of territory THP10. Quantity of hydroelectric plants in ITs in Amazonia MHP7. Quantity of hydroelectric plants per IT in Amazonia
FIRES (HOT SPOTS) 45 46 47 48 49
OIL and GAS 25 26 27 28 29
HYDROELECTRIC PLANTS 39 40 41 42 43
7 PREFACE
ACT - The Amazon Conservation Team Suriname Nickeriestraat #4 – Paramaribo, Suriname Tel: (597) 401-264 http://www.actsuriname.org
FGA - Fundación Gaia Amazonas Carrera 4 nº 26D-31 – Bogotá, Colombia (571) 281 4925 / 281 4985 / Fax: (571) 281 4945 http://www.gaiaamazonas.org/
38
Contents
MDF1. Deforestation in Amazonia BDF1. Analysis of deforestation in the Andean-Amazonian region MDF2. Base map of soil cover in Amazonia, year 2000 MDF3. Deforestation in Amazonia in the periods 2000-2005 and 2005-2010 MDF4. Proportion of deforestation from 2000 to 2010 in Amazonia, by country TDF1. Relative distribution of Amazonia and Amazonian forest by country in the year 2000 TDF2. Deforestation in Amazonia in the periods 2000-20005 and 2005-2010, by country GDF1. Distribution of forest loss in Amazonia for the periods 2000-2005 and 2005-2010, by country BDF2. The arm of deforestation in the IT and PNA corridor in the Xingu basin MDF5. Proportion of deforestation from 2000 to 2010 in the macro-basins of Amazonia MDF6. Proportion of deforestation by sub-basins in Amazonia for the period 2000-2005 MDF7. Proportion of deforestation by sub-basins in Amazonia for the period 2005-2010 MDF8. Evolution of deforestation by sub-basins in Amazonia in the period 2000-2010 TDF3. Forest loss in PNAs in Amazonia for the period 2000-2010, by type of use and administrative sphere GDF2. Distribution of forest loss in PNAs in Amazonia, by type of use and period (2000-2005 and 2005-2010) TDF4. Forest loss in the PNAs of Amazonia in the period 2000-2010, by country GDF3. Distribution of forest loss in PNAs in Amazonia for the period 2000-2010, by country and type of use TDF5. PNAs most affected by deforestation in Amazonia in the period 2000-2010, by country MDF9. Proportion of deforestation per PNA in Amazonia MDF10. Proportion of deforestation per IT in Amazonia TDF6. Forest loss in ITs in Amazonia in the period 2000-2010, by type of IT GDF4. Distribution of forest loss in ITs in Amazonia, by type and period (2000-2005 and 2005-2010) TDF7. Forest loss in ITs in Amazonia for the period 2000-2010, by country and type of IT TDF8. The three ITs (with an area over 100 km²) from each country in Amazonia with the largest amount of deforestation in the period 2000-2010 BDF3. Deforestation in the northwest Colombian Amazonia
60 CONCLUSIONS 63
INFORMATION SOURCES
65 ABBREVIATIONS 67
CAPTIONS FOR THE MOSAIC OF PHOTOS 2
Work meetings and public presentations of RAISG between 2007–2012
PREFACE Amazonia under Pressure is the result of a joint project involving civil society and research organizations from the Amazonian Network of Georeferenced Socio-Environmental Information (RAISG).
Following this, each institution set up routines to update regularly the thematic databases on Amazonia in each country, adhering to formats and protocols that ensure that this information can be integrated at various scales.
The first attempt to structure this collaborative space was sponsored by ISA in 1996, based on its experience of working in Brasil, accumulated since the 1970s.
In mid 2012 an updated version of the 2009 map was published and now this atlas, Amazonia under Pressure, which includes data and analyses on roads, oil and gas, mining, hydroelectric plants, fires and deforestation.
From the outset the proposal was to build a fertile environment for developing a long-term accumulative and decentralized process that would enable the compilation, generation and publication of information and analyses of the contemporary dynamics of (Pan) Amazonia.
Work on deforestation was assisted by Imazon’s software and experience in interpreting satellite images of the Brazilian Amazonia, which helped RAISG to define a methodology suited to the diversity of Andean-Amazonian and Guianese landscapes. The assessment of deforestation carried out using this methodology allowed us to obtain preliminary results for the years 2000, 2005 and 2010, as presented in this atlas and the enclosed map.
After a low-profile period, from 2007 onwards, as part of the new ‘Amazonian wave’ linked to the global debate on climate change, we were able to mobilize a group of institutions that together combine the minimal conditions needed to elaborate a joint work plan: have a socio-environmental agenda; make strategic use of geographic information systems; and able to exchange and combine databases at (Pan) Amazonian scale. Since then considerable effort has been invested in creating and implementing technical and political protocols, as well as investments in equipment, computing tools and staff capacity building, with support from the Rainforest Foundation Norway, the Ford Foundation, Avina and the Skoll Foundation. The composition of the network has remained basically stable throughout the process with only a few changes. It is currently composed of 11 institutions (see page 4). The work required a series of face-to-face meetings in São Paulo, Lima, Belém, Bogotá and Quito in order to adapt methods, define technical criteria, verify information, combine data, prioritize themes, strengthen capacities and exchange experiences and knowledge (the previous page shows a photographic mosaic of RAISG meetings and events held between 2007 and 2012). Both consultations and virtual meetings with other technical specialists were also held in each of the different countries.
The present publication, one of the results of the RAISG initiative, is a contribution from civil society to the democratic debate on pressures in Amazonia and particularly on deforestation, an issue that is presently being assessed by various national governments, as well as at the intergovernmental level of ACTO (Amazon Cooperation Treaty Organization). RAISG is currently in the process of formulating a 2013-2015 work plan, which will include:
maintaining basic routines for updating, enhancing, analyzing and disseminating data on the themes of pressures and threats; incorporating new work themes;
establishing cooperation agreements with other networks with the aim of generating joint products; and forming regional sub-networks.
RAISG is a collaborative space open to all those interested in promoting a sustainable future and strengthening the socio-environmental diversity of Amazonia. The present Atlas is intended to contribute to consolidating a wideranging regional view in which Amazonia is seen to extend beyond Brasil to include the Andean and Guianese countries. Beto Ricardo November, 2012
The first output of RAISG’s work was the map Amazonia 2009 Protected Areas and Indigenous Territories, printed in Spanish, Portuguese and English. It was made available for downloading in digital format (www.raisg. socioambiental.org).
Amazonia under Pressure
7 RAISG
Map 1. Amazonia: cumulative pressure (RAISG, 2012)
IntroduCTION The Amazonia presented in this publication is a territory with a huge socioenvironmental diversity now undergoing a process of rapid change. It covers an area of 7.8 million km2, including 12 macro-basins and 158 sub-basins, shared by 1,497 municipalities, 68 departments/states/provinces in eight countries: Bolivia (6.2%), Brasil (64.3%), Colombia (6.2%), Ecuador (1.5%), Guyana (2.8%), Perú (10.1%), Suriname (2.1%) and Venezuela (5.8%), as well as Guyane Française (1.1%).1 Around 33 million people live in Amazonia, including 385 indigenous peoples, as well as some living in ‘isolation.’ There are 610 PNAs and 2,344 ITs that occupy 45% of the Amazonian surface area, without counting the small, medium and large rural landowners, various types of companies, research and support institutions, religious organizations and civil society organizations. This area results from boundaries agreed upon by RAISG members by combining socio-environmental and juridical-administrative criteria, as explained below, in order to define a spatial expression of the information and analyses. The geographical information system developed by RAISG has the flexibility to allow products to be generated using other boundaries, such as those defined by hydrographic or biogeographic criteria, for example. Map 2. Amazonia: cumulative threats (RAISG, 2012)
Although countries like Bolivia, Brasil, Colombia, Ecuador and Perú define juridical-administrative boundaries for their portions of Amazonia, public policies do not reflect Amazonian socio-environmental particularities and are far from adopting the necessary (Pan-) Amazonian view and improving cooperation mechanisms. In all cases, there persists a view of Amazonia as a remote frontier providing ‘infinite’ natural resources, with a demographic vacuum open to new forms of farming and extractivist colonization. This view has become more complex over the last 50 years with the new forms in which the region has been integrated into national and international economies. Amazonia is also now considered at national level as a territory capable of ensuring energy sovereignty and as a source of income based on the production and commercialization of raw materials. At the global level, the region
is seen as the most important source of fresh water and biodiversity, as a regulator of the planet’s climate and as a carbon sink for large quantities of greenhouse gases. Like the other products generated through the work of RAISG, the main objective of this publication is to overcome our fragmented views of Amazonia and offer an ample panorama of the pressures and threats across the entire region and other sub-units of analysis. The opposite page shows two maps providing a spatial illustration of the combined sum of pressures (map 1) and threats (map 2). Pressures refers to the human actions currently taking place in Amazonia that put at risk the integrity of the ecosystems and the collective and diffuse rights of its inhabitants, whether traditional or otherwise. The threats are the human plans, projects or initiatives marked for the near future, which may turn into pressures once implemented. In both cases RAISG’s members organized information under a set of priority themes mentioned in the preface, compiling and generating high quality information that could be represented cartographically for the entire Amazonian region. The present Atlas contains information on the following six themes, representing the pressures and threats faced by Amazonia over the last decade – roads, oil and gas, hydroelectric plants, mining, fires and deforestation – analyzed in relation to Amazonia as a whole as well as to five different territorial units: Amazonia in each country, Hydrographic Basins, Protected Natural Areas (PNAs), and Indigenous Territories (ITs). These analyses are supported by 55 maps, 61 tables, 23 graphs, 16 boxes and 73 photographs. All this information is organized in thematic chapters running to a total of 68 pages. It should be pointed out that it was not possible to include specific chapters on logging and farming – themes of great importance for a more complete evaluation of the pressures and threats on Amazonia – since no basic information on them exists that covers the region as a whole. These themes will be discussed in two boxes included in the present introduction.
1 The RAISG workgroups decided to maintain the country names as written in their original languages in all publications.
RAISG 8
Amazonia under Pressure
Amazonia under Pressure
9 RAISG
The geographical boundary of Amazonia The boundaries of Amazonia as a region can be defined using different methodologies as well as a variety of data sources for mapping them. The boundaries most frequently used are the biophysical borders – related to hydrography, relief and vegetation – and the administrative boundaries recognized by the different nations for the application of protection and/or development policies, which take into account the region’s unique features. Economic and social criteria can also be used in defining the region’s boundaries. Hence no consensus exists on exactly what Amazonia is: to the contrary, we know that there are various Amazonias related to the different universes of the actors and interests involved. In 2004 a study undertaken by ACTO on the boundaries of Amazonia, focusing on different biophysical parameters, identified a number of important overlaps that highlight the difficulties involved in selecting the criteria for defining the region’s borders: “- defining the area hydrologically is unsatisfactory given the diversity of Amazonia’s biogeography; - since the biota of the tropical forests of the Amazonian lowlands is similar in various important aspects with that of the Guianas region, the latter should also be considered in the definition of the area;
MIN1. Amazonia boundaries and land coverage
- generally speaking, the biota of the Andean highlands are not directly related to the flora and fauna of the Amazonian lowlands, though they are interconnected ecologically and hydrologically;
TIN1. Amazon definitions, by country HYDROGRAPHIC BASIN
“LEGAL/ADMINISTRATIVE”
BOLIVIA
approx. 475,278 km2. It comprises about half of the area of Bolivia (475,278 km2). It consists of a mosaic of extensive upland and seasonally flooded (várzea and igapó) Amazonian forests, flooded savannas, semi-humid transition forests in the direction of the Cerrado, and sub-Andean and Yungas forests (the latter being characterized by high biodiversity).
BIOGEOGRAPHIC
approx. 714,493 km2. The watershed is comprised of the Rio Madera watershed and a small portion of the upper Amazonas basin on the border with Brazil.
approx. 156,267 km2. Article 390 of Bolivia’s new Political Constitution of the State (CPE) defines the Bolivian Amazon as a strategic area, specially protected for the comprehensive development of the country given its environmental sensitivity, existing biodiversity, water resources, and eco-regions. It is understood to encompass the entire department of Pando, the province of Iturralde in the department of La Paz, and the Ballivián and Vaca Diez provinces in the department of Beni.
BRASIL
approx. 4,213.463 km2. Wide variety of physiognomies, with dominance of flat-topped interfluves covered by evergreen tropical forests and submontane forests associated to infrequent elevations. It includes a transitional zone between rainforest and savanna like areas (locally called “cerrado”), and large extensions of sandy soils with structural and floristic patterns of forest and sandy savannas highly and locally adapted, called “campinaranas” and “campinas”, respectively. Periodically flooded wetlands have vegetation types that vary from wet fields to Palm Swamps (locally called veredas) and riparian forests.
approx. 4,692.488 km². Basins of the rivers Amazonas, Negro, Madera and Tocantins, and the Guyana/Macapá and Atlantico basins.
approx. 5,217.423 km². Region of planning and incentive to occupation called “Amazonia Legal”, defined by Federal Law 1806 from January 6th 1953 with the political aim of integrating the region to the national territory and foster its development. It consists of the Brazilian north region states (Acre, Amazonas, Amapá, Pará, Roraima, Rondônia and Tocantins), Mato Grosso and a portion of Maranhão (west from meridian 44º).
ECUADOR
approx. 91,045.74 Km2. Starts in the Andean-Amazonian transitional forests, at 1,300 meters above sea level along the foothills of the Andes, and moves toward the Amazon floodplain to about 300 m altitude it is dominated by several types of lowland evergreen forests including: flooded forests of white and black water, palm forest) with a significant presence of lacustrine grasslands and other non foreste ecosystems (Sierra, 1999)
approx. 131,950.45 km2. It includes portions of the basins of the rivers Putumayo, Napo, Tigre, Pastaza, Morona Santiago and Mayo. All are binational or transnational basins.
approx. 116,605.87 km2. According to the Article 250 of the new Constitution of Ecuador of 2008, referred to the Ecuadorian Amazon as the territory of the Amazon provinces and states that it is part of an ecosystem necessary for the environmental balance of the planet. This territory will be a special land for which there will be a comprehensive planning law including social, economic, environmental and cultural issues, with a land use planning to ensure the conservation and protection of ecosystems and the principle of “Sumak Kawsay” (Good living). The Ecuadorian Amazon region comprises the provinces of Sucumbios, Napo, Orellana, Pastaza, Morona Santiago and Zamora.
COLOMBIA
approx. 483,164 km2. The Amazon region incorporates hydrographic as well as biogeographic politicaladministrative boundaries: i) the basin boundary in the western sector is defined by the drainage divide in the upper part of the eastern mountains of the Colombian Andes; ii) the northern sector reaches up to where the forest cover limits with the natural savannahs in the Orinoquia; iii) the southern and eastern boundaries limit the international borders of Colombia with Ecuador, Peru, Brazil and Venezuela (http://siatac.siac.net.co/web/guest/region, Murcia Garcia, 2009); and iv) the ecosystems include the Eastern Mountain “Paramos”, birth of important rivers which cross the Amazon basin, to areas of the tropical rain forest. These ecosystems range from Andean, flood plains, mainland to xeric and savannahs.
approx. 342,372.9 km2. Putumayo River Basin, Negro River basin, Caquetá River basin and a small portion of the Napo River basin.
approx. 483,164 km2. The political-administrative division covers the southern part of the department of Vichada; the southeastern of the Meta Department; the entire territory of the departments of Guainia, Guaviare, Vaupes, Amazonas, Putumayo and Caqueta; “la Bota Caucana”, in the department of Cauca and the Amazonian watershed of Nariño (the highest part of the Guamuez, Sucio, San Miguel and Aguarico rivers). The basin’s administrative districts or municipalities are in total 78. 58 correspond to municipalities (41 fully included in the region and 17 partially included) and 20 departmental administrative districts , all included in the region (Murcia Garcia et al, 2009).
GUIANA
The entire country
approx. 12,300 km2. Tributary of the Branco River.
Without information
GUYANE FRANÇAISE
The entire country
Is not tributary of the Amazonas River.
Without information
PERÚ
approx. 782,813 km2. There are several different classifications of ecosystems in the Peruvian Amazon. Most of them divide this region into two large landscapes: The Amazonian lowland, located below the 500 to 800 msnm and the high jungle or montaña above the Plain and up to 3600 msnm. However, this classification simplifies the eco-systemic diversity in contrast with that postulated by Encarnación (1993) who identifies 16 types of vegetation in the Amazon lowland defined by the predominant plant species or by the type of waters that flood the forests. Source: Encarnación, F. 1993. El bosque y las formaciones vegetales en la llanura amazónica del Perú. Alma Mater Rev. UNMSM. 6: 94-114.
approx. 966,170 km2. The Peruvian Amazon is drained by many rivers of varying sizes and volumes; the largest of these include the Amazonas, Marañón, Napo, Ucayali and Madre de Dios Rivers. Source: ANA 2010.Unidades Hidrográficas del Perú, 1/100 000.
Sin información de área In terms of political units, the Peruvian Amazon includes the entirety of the Departments of Loreto, Ucayali and Madre de Dios and a part of the Departments of Amazonas, Cajamarca, Huancavelica, La Libertad, Pasco, Piura, Puno, Ayacucho, Junín, Cusco, Huánuco and San Martín. Source: MINAM 2009. Mapa de Deforestación de la Amazonía Peruana – 2000. Memoria Descriptiva, Lima, p14.
SURINAME
Historically known region of the Amazon lowland rainforest biome in northern South America (taken or inferred from TREES map 1999; S and E borders delimited according to Soares, 1953).
Is not tributary of the Amazonas River.
Without information
VENEZUELA
approx. 453,915 km2. It is equivalent to the Venezuelan Guiana Shield region (Huber 1995, Gorzula and Señaris 1998, Pérez-Hernández and Lew 2001, Eva and Huber 2005), which occupies, in its widest interpretation, the states of Amazonas, Bolívar and Delta Amacuro.
approx. 53,280 km2. From a strict hydrographic point of view, the Amazon basin only includes the area south of the Casiquiare river, which communicates the Orinoco with the Negro River (Eva and Huber 2005).
approx. 53,280 km2. Officially includes only the hydrographic boundaries of the watershed.
- similarly, the slopes of the Brazilian mountains, which drain into the Amazon Basin, despite presenting different geographic and biotic characteristics, are ecologically and hydrologically connected to Amazonia; - in terms of climate, the Amazonian region cannot be considered in isolation from the rest of the continent or indeed the world.” For RAISG, the objective is not to establish an unequivocal Amazonian boundary, administratively or scientifically based, but to delimit an area of analysis in a way that the information is useful to a variety of actors. The products will have different formats and publics, whether they are published on the network’s web site (www.raisg.socioambiental.org) or in printed format. In these analyses, given the different definitions of the Amazonian borders used by each country, RAISG used a boundary that corresponds to a region for which we have updated and systemized data, backed by accumulated knowledge and a working experience. This enables RAISG to carry out diagnoses and projections regarding both the threats and the attempts to protect the area, as well as efforts to monitor their evolution over time. This boundary, which encompasses 7.8 million km2, is primarily composed of the biogeographical boundary with the exception of Ecuador and Brasil where legal-administrative criteria are used. This is the area to which the statistics and other general references to Amazonia in this publication apply. Table TIN1 presents the definition of Amazonian areas used by each country. To assist the reader, the boundaries of both Amazonia as a basin and the biogeographical Amazonia are shown in the map Amazonia 2012 – based on the consolidated information – as well as the “boundary used by RAISG.” On RAISG’s web page the information will be organized in a form that enables users to make searches taking this boundary or basins and sub-basins as parameters when analyzing hydrographic aspects, for example. Similarly, biogeographical parameters can be used when planning for conservation projects, while administrative boundaries can be employed when the user’s interest relates to development, taking into account socioenvironmental information. A survey of the different definitions of Amazonia in each of the countries from the biogeographical, hydrographic and legal-administrative viewpoints is summarized in TIN2, where the boundary employed by RAISG for its calculations and analyses is highlighted in green. The MIN1 map shows the main classes of plant cover with the existing vegetation and the zones of human intervention (agriculture, livestock farming and so on). The overlapping of the three aforementioned Amazonian boundaries allows the reader to observe the approximate degree of human impact within each of them. TIN2. Amazon surfaces per country Country Bolivia
Amazon area (km2)
% of Amazonia
% of country
479,264
6.2
43.6
5,006.316
64.3
58.8
Colombia
483,164
6.2
42.3
Ecuador
116,284
1.5
46.7
Guyana
214,969
2.8
100.0
86,504
1.1
100.0
Perú
782,820
10.1
60.9
Suriname
163,820
2.1
100.0
Venezuela
453,915
5.8
49.5
Brasil
Guyane Française
Total
7,787.056
Protected Natural Areas and Indigenous Territories Protection of Amazonia’s socio-environmental diversity is being consolidated through the recognition of the territorial rights of indigenous peoples and the creation and implementation of a diverse set of protected areas. These conservation strategies have expanded over recent years and today cover a surface area of 3,502,750 km2 (2,144,412 km2 in Indigenous Territories and 1,696,529 km2 in Protected Natural Areas with 336,365 km2 overlapping between the two) corresponding to 45% of the region (TIN3). A portion of the Protected Natural Areas (PNAs) and Indigenous Territories (ITs) in Amazonia have effectively turned into islands of forest following the expansion of the export economy in basic products of low aggregated value. There is a large shortfall in official recognition of the lands of many of the 385 indigenous peoples living in Amazonia. These remain to be identified and quantified. Currently they cover a surface area of 1,641,117 km2 and 28,127 km2, represented by territorial reserves and intangible zones respectively, which combined correspond to 21.5% of the region. The proposals for territorial reserves and the ITs now in the process of official recognition add up to 475,168 km2, equivalent to 6.1% of the total region
TIN3. PNA and IT in Amazonia Area (km2) Protected Natural Areas (PNAs)
1,696.529
21.8%
Indigenous Territories (ITs)
2,144.412
27.5%
336,365
4.3%
3,502.750
45.0%
Overlapping area between PNAs and ITs PNAs and ITs without overlapping
RAISG 10
Amazonia under Pressure
% of Amazonia
TIN4. Cartographic sources of PNAs and ITs used Country Bolivia Brasil Colombia Ecuador Guiane Française Guyana Perú Suriname Venezuela Bolivia Brasil Colombia Ecuador Guiana Francesa Guyana Perú Venezuela Bolivia Brasil Ecuador
RAISG member
Source/date (year) IT Viceministerio de Tierras. Mapa de TCOs y sus áreas tituladas en Bolivia (no publicado). Versión 2009 Instituto Socioambiental, 2012 Instituto Geografico Agustin Codazzi, 2007; INCODER, 2009 EcoCiencia, 2009; ECORAE ,2002; ECOLEX, 2011; Gobierno Autónomo Descentralizado de Sucumbíos, 2011; Subsecretaría de Tierras, 2011; Fundación Arcoiris, 2010; MAE, 2011 Direction Régionale de l’Environnement de Guyane, 2009 Indigenous Affair/Governo da Guyana, 2009 SICNA: incluye ACPC, AIDESEP-CIPTA, CEDIA, IBC, PETT-Loreto, GEF PNUD, GOREL y PFS. 2011 Ministerio del Poder Popular para la Salud (mapa), 2007 NATIONAL PNA SERNAP 2005 Instituto Socioambiental, 2012 Unidad Administrativa Especial Sistema Parques Nacionales - Dirección Terrriotial Amazonía, 2010 MAE, 2010 Direction Régionale de l’Environnement de Guyane Digital Chart of World, 1993 MINAM, 2012 Rodriguez et al., 2011 (datos no oficiales) DEPARTMENTAL PNA Gobierno Municipal de La Paz, 2010; Ministerio de Medio Ambiente y Agua, 2009; PMOT Ixiamas, 2009; Prefectura del Beni, 2008 Instituto Socioambiental, 2012 FOREST MAE, 2010
FAN ISA FGA EcoCiencia DEAL ISA IBC ACT Provita FAN ISA FGA EcoCiencia DEAL IBC Provita FAN ISA EcoCiencia
Amazonia under Pressure
11 RAISG
(TIN5). The area of potential newly recognized ITs is unknown. Based on the data compiled for the different countries, the ITs were classified in terms of their level of official recognition and the categories used by each country. This resulted in three classes: i) officially recognized lands of traditional use and occupation; ii) traditionally used and occupied lands without official recognition now in the process of being recognized (or lacking information on the official recognition process); and iii) territorial reserves or intangible zones (reserved for isolated indigenous peoples).
After generating the drainage sections as described above, all the respective basins or related areas were generated, structured, codified and named: nine level 6 basins, 29 level 5 basins, 63 level 4 basins and 192 level 3 basins. Levels 1 and 2 are still awaiting codification and toponyms. Level 3 was established as the basis for presenting results on deforestation and other pressures, recognizing that in many cases this level approximates the scale of municipalities and other correlated administrative units, which may be of interest to local governments.
The boundaries of PNAs and ITs used in this Atlas were complied and/or produced by the institutions belonging to RAISG based on a variety of different official and non-official sources (TIN4).
In this Atlas, macro-basins are those described here as level 5, and sub-basins as those at level 3 (MIN2).
PNAs in Amazonia cover a significant total surface area of 1,696,529 km2, corresponding to 21.8% of Amazonia – excluding the overlaps of different categories of environmental protection and including the overlaps with Indigenous Territories, which equals 336,365 km2 (TIN6). Systems of protected areas are now being consolidated at national, regional and local level in various countries in the region. Based on data compiled for each country, the PNAs were classified in terms of their administrative level (national or departmental/state) and the type of use of the areas, resulting in four classes: i) indirect use: protection of biodiversity, geological and scenic landscape (aesthetic quality) compatible with tourism, education and research; ii) direct use: protection of resources compatible with controlled use following utilization plans; iii) direct/indirect use: mixed areas where use is defined through zoning; and iv) transitory categories: reserved areas of forest that may or may not be converted into protected areas or concessions, in accordance with the result of research.
Watersheds within the Amazon Basin The watersheds utilized in the analyses were obtained through relief data from the Shuttle Radar Topography Mission (SRTM), available with a resolution of 15 arc-seconds (approximately 450 meters) and originally processed by the HydroSHEDS Project. This data was then used to generate the flow direction and accumulation models semiautomatically, along with the 2,862 hierarchized and structured river drainage systems, corresponding to 1,453 basins covering more than 150,000 hectares and their 1,409 intermediary areas, affluents of the Orinoco and Amazon rivers, as well as the Guianas, the areas surrounding the Tocantins river and the western part of the Brazilian ‘NE Atlantic.’ Using a specially developed algorithm, a unique system was established and applied to codify the segments hierarchically in accordance with the six generated Strahler levels, common to the hydrographic network and their respective basins. Based on the names contained in the digital cartography of rivers, compiled by the institutions belonging to RAISG in the different countries, and the consultation of different maps, the drainage sections were assigned with the name of the respective river in complete form up to Strahler level 3 and in partial form to levels 2 and 1 (TIN7). TIN5. Extension of Indigenous Territories in Amazonia (km2) Indigenous Territories officially recognized Indigenous Territories not officially recognized (or without information) Territorial Reservation Proposed Territorial Reservation
Administrative level 132,078
900,338
Direct use
403,016
354,942
757,958
34,079
0
34,079
4,154
0
4,154
1,209.509
487,020
1,696.529
Total
3) Systematization and organization of cartographic information, presented in a layered theme format. In order to ensure that the representation was cartographically and numerically equivalent across the different countries, the specifications of each were taken into account in order to obtain a common set of captions. For example, the international borders were adjusted according to a single baseline in order to avoid gaps and overlaps in information. For all the themes, information was classified on the basis of a shared attribute of a caption defined during the initial stage. Protected Natural Areas were classified by type of use, while Indigenous Territories were classified in relation to the degree of official recognition. The aim was to classify the pressure themes by activity phase or their time scale. 4) Processing and cross-checking of data by thematic subgroups. The themes were crosschecked with the borders of the countries, basins, PNAs and ITs previously grouped and systemized into a single layer of information; 5) Analysis of results by theme with the elaboration of tables and analytic maps that, combined with the compiled secondary information, served as a basis for producing technical notes on each theme. 6) Elaboration of technical notes on each theme. For the development of these stages, work sessions and technical meetings were held at different moments, both face-to-face and virtual, with the exchange of experiences, knowledge and capacity building between the teams.
Total
Departmental
768,261
Direct/Indirect use
2) Compilation of secondary information on the themes.
It is important to stress that the thematic cartographic analyses took into account only the direct overlapping of the themes with the units of analysis: in other words, “areas of influence or impact” relating to the themes were not considered.
Indirect use Transitory use (Perú)
1) Identification and compilation of cartographic information, which was revised and standardized, selecting only the data located within the area of study and available for all countries.
In all chapters the results of the cross-checks and analyses are presented in the following order: Amazonia as a whole, Amazonia within each country, macro-basins and sub-basins, Protected Natural Areas and Indigenous Territories.
TIN6. Extension of Protected Natural Areas in Amazonia (km2) National
The methodology is grounded on six sequential stages:
The ArcGis GIS tool was used, along with Access for the database resulting from the analyses.
2,144.412
Type of use
The information providing the foundation for this atlas Amazonia Under Pressure was assembled in June 2009 and updated in May 2011. This information was compiled in each country based on official sources, which show differences in time, scale, projection, availability and update period. The cartographic sources used are cited where appropriate in the thematic chapters.
435,406 39,762
Total
General Methodology
1,641.117 28,127
MIN2. Hydrographic basins in Amazonia
TIN7, Length and number of drainage segments per Strahler levels Strahler
Length (km)
1
107,410
1,453
2
59,137
726
3
27,666
348
4
16,044
225
5
5,456
89
6
1,330
21
217,044
2,862
Total
RAISG 12
Number of segments
Amazonia under Pressure
Amazonia under Pressure
13 RAISG
BIN2. Logging
BIN1. Cattle ranching and agriculture in the expansion of Amazonian frontiers
Soy cultivation advancing into the forest. Mato Grosso, Brasil. © Ton Koene, 2009 In Pan-Amazonia, the farming sector has historically been more an instrument for expansion of the agricultural frontier than a consolidated activity with an economic objective. At the regional level we can identify six common characteristics of this sector: √ The development of activities that make occupation of the land possible, without any direct connections with production chains and focused mainly on production rather than transformation or adding value to the crop. √ A high degree of activities requiring large open spaces and/or low relative productivity, based on a variety of different technological or social models. √ Little knowledge – or recognition – of the diversity of soil types in the region, some of them unique and particular (for example, those used for seasonal floodland crops). √ Pastures end up occupying more than 90% of the areas initially used for annual, perennial or agroforestry crops. √ A high rate of disease infestation in both the primary production and the processing sectors. √ An almost total absence of technical assistance and rural extension work. At the regional level, four farming systems were identified: √ The traditional integrated system is based on the knowledge and adaptation of indigenous, extractivist or riverdwelling communities. It is characterized by a common property regime, high diversification, management of natural resources, low environmental impact and low income generation with priority given to subsistence use. √ The small-scale colonization system is based on official land distribution programs or on opportunistic migrations associated with a road or other infrastructure project. This system is developed in independent areas, does not adapt to local conditions and has a high turnover.
Forest and pasture being burnt for cattle ranching, Pará, Brasil © Daniel Beltra/Greenpeace, 2008
√ The medium and large-scale individual family system is very often based on the appropriation of public lands. These are most often focused on cattle ranching with low investment in technology and infrastructure, while priority is given to the property (cattle herd and pastureland) rather than to economic accumulation per se. This farming system has shown difficulty integrating itself into external production chains. √ The large-scale agribusiness system is the most recent to appear in the Amazon and is much less frequent than the others. It has arisen in zones with better infrastructure. This system prioritizes large-scale and mechanized monocropping (soya, for example), intensive use of chemical inputs and a small workforce. In contrast to the other forms, it is directly connected to more substantial production chains. Rice, cacao, coffee, manioc and fruit trees are the more common crops found in Pan-Amazonia, in addition to pasture land. At the local level, coca is grown in Bolivia, Colombia and Peru; maize primarily in Peru, Ecuador and Bolivia; palm for oil in Bolivia, Brazil, Colombia, Peru and Venezuela; soy beans in Bolivia and Brazil; and forest plantations in Bolivia, Brazil and Venezuela. In the case of the Brazilian Amazonia the entire area used for agriculture, around 3.4 million hectares, represents less than 7% of the total farming area, (45.1 million hectares). The remaining 93% is covered by various kinds of pasture with a productivity ranging from 0.4 to 5 animals per hectare with an average of roughly 0.9. The 3.4 million hectares used for agricultural includes large-scale commercial crops (specially soy beans and oil palm), variable scale commercial crops, planted in the small- to medium-range farms (manioc, fruits, cacao, pepper, rice, jute, mallow, assai palm, cupuaçu fruit, peach palm, sugar cane, corn, etc.), small-scale agroforestry systems (fruits, timber, fibers) and finally subsistence crops (rice, beans, manioc, etc.). (Roberto Smeraldi/Amigos da Terra-Brazilian Amazonia) In the Bolivian Amazonia agriculture and cattle ranching are the primary activities responsible for deforestation. These two activities resulted from a variety of economic and social forces that led, on one hand, to a disorderly establishment of pastures and, on the other, to the arrival of rural migrants from the highlands who practice subsistence farming (rice, maize, fruit trees and so on) with little or no planning in their occupation of forest lands. The southern portion of the Bolivian Amazonia is also threatened by the expansion of mechanized farming (soy beans, sunflowers, sugar cane and rice), which is more developed in the central part of the Santa Cruz department, especially from the 1980s onwards. Hence deforestation results from the recent expansion in mechanized farming in the southern part along with small-scale cattle ranching and agriculture in the southern part, but also in the western and northnorthern parts of the Bolivian Amazonia. Between 2000 and 2010 around 765,000 ha were deforested, representing 1.6% of the Bolivian Amazonia. (Daniel Larrea/FAN) In the Ecuadorian Amazonia the main income generating activities include agriculture (56.5%), cattle ranching (10%) and mixed farming (30%). These activities are carried out through systems that use natural resources and labor intensively but with very low levels of productivity and profitability. Forestry and agroforestry activities, which exploit the resources of standing forests, account for just 1.4% of economic production. (Víctor López/EcoCiencia) In the Colombian Amazonia agricultural and cattle ranching activities are the biggest cause of deforestation and have developed principally in the departments of Caquetá, Guaviare, Meta and Putumayo, located in the northwestern zone that includes much of the Andean-Amazonian piedmont. These activities began in the early 1960s when the national government promoted organized colonization programs in the Amazonia with the idea of distributing land to rural populations dislocated by the violence in the Andean zone and bring under commercial production the vast “unused” lands in eastern Colombia. At the end of the 1980s the coca bonanza began in Colombia and it was in the Amazonian colonization zones that subsistence crops, cattle and forest were replaced by coca grown for illegal use. In 2011 around 100,000 hectares had either permanent or intermittent coca plots in these four departments. During the past decade the Colombian government began to eliminate coca cultivation through programs combining aerial fumigation and manual eradication, and by stimulating the reconversion of these lands to cattle ranching (Caquetá and Meta), family production units (Guaviare) and bean growing (Putumayo). (Natalia Hernández)
Port run by Cargill for grain exportation. Santarém, Pará, Brasil. © Paulo Santos, 2010
Logging in Amazonia is an important factor in the degradation of its forest; most of it illegal. There are some examples of sustainable forest management certified by bodies such as the Forest Stewardship Council (FSC), but these represent a small percentage of the overall activity. Most often centered on a few, high-priced species of hard woods, logging exerts a strong pressure on PNAs, ITs and other areas, and is frequently associated with illegal appropriation of public lands. Illegal logging also affects legal logging concessions and hampers the profitability of approved management plans given the theft of timber and unfair competition in the marketplace, since the illegal operators do not pay taxes or environmental costs. Logging involves a specialized production chain that connects remote areas far from the national and international markets, using the legal road network and navigable rivers, as well as illegal private roads. Legal logging may turn into a long-term forest management effort or may be only a phase anticipating the implementation of an agricultural project, in which the income from felled timber plays an important role in capitalizing the new agricultural ventures. Thus logging can be a pioneering activity preceding the development of pastures or farm land for grain crops. In Brazil, legal forest management occurs in three situations: in privately owned forest areas, in areas belonging to traditional communities (public or private) and in public forest concessions. Around 75% of the forest in Brazilian Amazonia is public land and the legal activities of forest companies are restricted to forest concessions, established by law in 2006. There exist around 10 forest concession contracts in operation in Brazil, all stemming from public tenders. For the Brazilian Amazonia, Imazon developed the Logging Monitoring System (Simex) which is being implemented in the states of Pará and Mato Grosso where the incidence of logging is high. In these regions predatory extraction has penetrated into PNAs and ITs. According to Simex, the total area logged in Pará – legally and illegally – from August 2009 to July 2010 was 1,205 km2, most of it (65%) illegal. Most of this illegal logging (84%) occurred in private unoccupied or disputed areas. In Mato Grosso 2,260 km2 was logged between August 2009 and July 2010, 44% of which was illegal. Most of this total (87.8%) was also logged in private unoccupied or disputed areas. In Peru since the 1960s legislation has attempted to regulate forest logging through the implantation of a system of concessions or contracts. The last version dates from 2000 when a new Forestry and Wildlife Law (Nº 27308) was issued. It established the creation of Permanent Production Forests (BPPs) intended exclusively for forest management. Each area was divided into smaller units, each approximately 50 km2 in size, which are auctioned off to private bidders in the form of Forest Concessions (FCs). These areas remain under State ownership with usufruct rights given to the concessionaires for up to forty years. Individual concessionaires are allowed to accumulate a maximum area of 500 km2 (10 FCs). In August 2009 there were 177,639 km2 of permanent production forests, 7,618 km2 of which had already been awarded in forest concessions. Despite these advances, an independent investigation revealed that 80% of Peruvian logging is illegal (Urrunaga et al., 2012). Unfortunately the 2000 law has not generate the expected results, in part because the process for delimitation of the Permanent Production Forests was carried out from distant urban offices, without information regarding or concern for current occupation or traditional use of the areas. This produced a series of overlaps with registered native communities and, even more seriously, with lands and forests claimed by indigenous populations but not yet registered and/or demarcated. In Bolivia the forest legislation is based on Law 1700, approved in 1992, which in the 1990s stimulated the voluntary conversion of the former usage contracts into a successful concessions system supervised by what was then the Forest Superintendent. In 2009 this institution was replaced by the Land and Forest Public Oversight Authority (ABT), responsible for forest resources, land and soils. This change was accompanied by the approval of a new Constitution during the same year that does not recognize the system of concessions for exploiting natural resources, including forest resources. This scenario stimulated an increase in the illegal exploitation and marketing of timber. Currently a new law is being drafted with the aim of regulating forest activities. Recently the Framework Law for Mother Earth and Integral Development for Living Well was approved (October 2012), which sets out the overall vision and legal foundation for integral development with the use of natural resources in Bolivia. However, the forest issue is dealt with only in a very superficial way in this new law. In Ecuador, the government has been trying to finish the National Forest Inventory since 2010. Nonetheless, there is little reliable information regarding illegal logging in the Ecuadorian Amazonia. It is estimated that 70% of the timber exported from Ecuador is illegally sourced and may even derive from indigenous lands or zones reserved to isolated indigenous groups, as in the case of the Taromenane and Waorani (CONAIE, 2006 and Sierra et al., 2010). Other sources assert that the provinces of Orellana, Pastaza and Morona Santiago are the most affected by illegal logging. In Colombia it is estimated that 42% of timber sold is illegal, and that between 20 and 40% of the same is extracted in Amazonia. Only 33% of sold timber has forestry certificates. To combat this problem in August 2009 the Inter-Sector Agreement for Legal Timber was established and renewed in 2011. This instrument looks to ensure that the timber extracted, transported, processed, sold and used in Colombia comes exclusively from legal sources (Legal Timber Agreement in Colombia). (Beto Ricardo, ISA, with the collaboration of Tasso Azevedo)
Logging company, one of 140 established in Tailândia. Pará, Brasil. © Paulo Santos, 2008
Operation to control illegal logging. Belém, Pará, Brasil. © Paulo Santos, 2010
Batch of illegal timber confiscated in Belém. Pará, Brasil. © Paulo Santos, 2010
Roads – Amazonia under Pressure
15 RAISG
MRD1
Roads
in Amazonia
ROADS O
ver the last 50 years, roads have been recognized as one of the main factors encouraging new forms of using and occupying Amazonia. Their presence supports the advance of colonization and changes in the ways in which land is used, which, in turn, acts as a catalyzing or determining factor in deforestation (Chomitz et al. 1996; Barreto et al., 2006; Pfaff et al., 2007; Southworth et al., 2011). The intensity with which areas are affected in each region depends on the socioeconomic context, the development policies in place, and the speed with which changes are occurring in the vegetative cover (Barreto et al., 2006; Duchelle et al., 2010; Almeyda et al., 2010).
Context Roads (highways, roads or trails) can accelerate the use of Amazonia’s resources and the region’s transformation. Their presence is an incentive to expanding human settlements and intensifying farming activities, logging, mining and so on. The correlation between paved roads and deforestation is high. It is estimated that in 80% of cases in Brazilian Amazonia, deforestation is found up to a distance of 30 km from paved roads, although many fire-cleared areas can be found at greater distances (Barreto et al., 2006). Roads, whether paved or not, promote new forms of occupying the Amazonian territory. The development of the road infrastructure in all the Amazonian countries is justified by governments in various ways: (i) to facilitate transportation of imported goods from sea ports to the different regions of the countries; (ii) to facilitate the transport and exportation of raw materials, minerals, oil and manufactured goods from the different regions to the sea ports; and (iii) to strengthen the regional economy through the Initiative for the Integration of the Regional Infrastructure of South America (IIRSA). Nonetheless the road system does not necessarily or only meet these objectives. In the countries of Andean Amazonia, the road system was constructed following a north-south axis in order to generate connections, the main cities. Over the last ten years, though, the road system has been constructed, expanded and improved from east to west in order to interconnect the populated centers of Brazilian Amazonia with the Andean region and these centers, in turn, with the coastal cities where the main sea ports onto the Pacific and Atlantic Oceans are located.
Trans-Amazonian Highway. Anapú, Pará, Brasil. © Paulo Santos, 2005
Plans to connect the Atlantic to the Pacific accelerate the pressures on Amazonian territories There are 96,500 km of roads throughout Amazonia as a whole. Most of these, 64.5%, are unpaved
Ä
Perú and Bolivia are the two countries with highways planned through the heart of the Amazonian forest The peripheral pattern of road distribution largely affects the headwaters of the Upper and Middle Amazon basins PNAs and ITs have a road density 3 to 4 times
¾
lower than the regional average
It should be emphasized that across a vast extent of Amazonia, river navigation represents the only form of covering large distances, as well as gain access to communities, cultivated areas and other production zones. Along the Amazon Axis of the IIRSA, the aim was to connect the Pacific and Atlantic Ocean through a series of land and river routes across an area covering 5,657,679 km2 (Cosiplan, 2011).
Methodology To identify and describe the geographic features of the road distribution, georeferenced information was compiled on the main paved roads, unpaved roads and projected (or planned) roads existing in Amazonia. The roads in the process of being paved and those for which no information exists were classified as ‘unpaved.’ Due to the differences in the level of information available in each country, the analyses excluded secondary or tertiary roads (tracks), along with the service roads existing within production areas.
¸
The road density per unit of analysis was calculated [(total extent of roads (km)/surface area of unit of analysis (km2)*1.000] which will be indicated below as km/km2. The multiplication of the final value by 1,000 was designed to facilitate use of the figures and lessen distortions caused by the differences in the total length of roads according to the units of analysis used (region, country, macro-basin and sub-basin, protected areas and Indigenous Territories).
Cartographic sources for the theme Roads: • BOLIVIA: FAN, 2009 • BRASIL: Instituto Brasileiro de Geografia e Estatística - IBGE, Malha Municipal 1:1.000.000, 2005 • COLOMBIA: Fundación Puerto Rastrojo (Atlas de la Amazonía Colombiana), 2001; IGAC, 2010 • ECUADOR: Ministerio de Transporte y Obras Públicas, 2006 • PERÚ: Ministerio de Transporte y Comunicaciones - MTC, 2008 • SURINAME: Digital Chart of World, 1993 • VENEZUELA: Instituto Geográfico de Venezuela Simón Bolívar, 2003. Ocean and relieve: World Physical Map, U.S. National Park Service, in ArcGIS Online Services.
Ä Due to the construction of roads to Inter-Oceanic Highway on the Brasil-Perú Amazonian border. © Odair Leal, 2006
RAISG 16
Amazonia under Pressure – Roads
explore oil, Ecuador has the highest density of roads in the whole of Amazonia, 37.5 Km/Km2.
¾ Local communities object to the construction
of the IIRSA highway linking Pucallpa to Cruzeiro do Sul between Brasil andPerú.
¸ Construction of the highway that will cut through TIPNIS in Bolivia, under contract to the Brazilian company OAS, was paralyzed in 2010 due to social movements demanding prior consultation. Roads – Amazonia under Pressure
17 RAISG
Amazonia as a whole The total extent of the roads identified in Amazonia was 96,544 km, including paved roads (31,632 km, 32.8% of the total), unpaved roads (62,271 km, 64.5%), and planned roads (2,635 km, 2.7%) (TRD1 and GRD1). The overall density was 12.4 km/km2 including paved roads (4.1 km/km2), unpaved roads (8.0 km/km2) and planned roads (0.3 km/km2) (TRD2). The highest concentration of roads was detected on the borders of Amazonia, especially in Guyana, in the southeast and south of Brazilian Amazonia, and in Ecuador (MRD2).
In the 2011 Projects Portfolio of the Inter-American Infrastructure and Planning Council (COSIPLAN) there are seven groups of projects in the Amazon Integration and Development Axis, which include 64 infrastructural works, 15 of which are roads, with a total investment estimated at US$ 3.355 billion. Group
Project
1. Access Putumayo Waterway
2. Access Napo Waterway
3. Access Huallaga – Marañón Waterway
4. Access Ucayali Waterway
5. Access Solimões–Amazonas Waterway 6. Amazon Waterways Network
7. Access Morona-Marañón-Amazonas Waterway
71.4% of the total length of roads existing in Amazonia are located in Brasil, most of these being ‘unpaved’ roads. Next comes Perú with 6.2% of the region’s total, Bolivia with 5.6%, Ecuador with 4.5% and Guyana with 4.4 % (TRD1).
373
Rehabilitation and paving of the section San LorenzoEl Carmen (EC)
76
Subtotal Group 1
466
449
Subtotal Group 2
124
0
Tarapoto-Yurimaguas Road and Yurimaguas Port (PE)
224
Construction and improvement of El Reposo-Sarameriza Road (National Route 4C) (PE)
189
Paita-Tarapoto Road (PE)
274
1,062
687
Tingo María-Pucallpa Road and Pucallpa Port (PE)
361
Highway Lima-Ricardo Palma (PE)
242
Rio Branco-Cruzeiro do Sul road connection (BR)
400
IIRSA Central, section 2: Ricardo Palma-La Oroya- Detour Cerro de Pasco / La Oroya-Huancayo (PE)
100
IIRSA Central, section 3: Detour Cerro de Pasco-Tingo María (PE)
70
2,959
1,173
Cuiabá-Santarém Road (BR)
700
Environmental and territorial management program (Route Cuiabá-Santarém) (BR)
12
MRD3. Road density by country in Amazonia
712
Subtotal Group 6
316
0
Improvement of the route Guayaquil-El Triumph-La Troncal-Zhud-El Tambo-Cañar-Azogues-Paute-AmaluzaMéndez and improvement and extension of the MéndezPuerto Morona section (EC)
140
Improvement of the route Puerto Bolívar-Santa Rosa-Balsas-Chaguarpamba-Loja Zamora-Yantzaza-El Pangui-Gualaquiza-Gral.Leónidas Plaza-Méndez (EC)
Improvement of the route Puerto Bolívar-Pasaje-Santa Isabel-Girón-Cuenca-Paute-Amaluza-Méndez-Puerto Morona (EC)
Source: Cosiplan, 2011
% of length by type
Projected 90
Projected
5,425
0.9
3.8
0.9
5.6
68,930
22.8
48.6
0.0
71.4
477
1,287
1,764
0.5
1.3
0.0
1.8
3,017
1,343
4,360
3.1
1.4
0.0
4.5
845
0.9
0.0
0.0
0.9
4,259
0.0
4.4
0.0
4.4
5,988
1.8
2.6
1.8
6.2
839 2,552
1,744
1,434
1,434
0.0
1.5
0.0
1.5
2.756
783
3,539
2.9
0.8
0.0
3.7
31,632
62,271
96,544
32.8
64.5
2.7
100.0
2,635
TRD2. Road density in Amazonia. by type and country Country
Amazon area by country (km2)
Ecuador Guyana
Road density (km/km2) Paved
Unpaved
Projected
458
335
6,100
3,355
Total
116,284
25.9
11.5
0.0
37.5
214,969
0.0
20.1
0.0
20.1
5,006.316
4.4
9.4
0.0
13.8
479,264
1.8
7.7
1.9
11.3
86,504
9.7
0.1
0.0
9.8
Suriname
163,820
0.0
8.8
0.0
8.8
Venezuela
453,915
6.1
1.7
0.0
7.8
Perú
782,820
2.2
3.3
2.2
7.6
Brasil Bolivia Guyane Française
Colombia
483,164
1.0
2.7
0.0
3.7
7,787.056
4.1
8.0
0.3
12.4
TRD3. Road length and density in the Amazonian macro-basins, by type Macro-basin
27
The extent of ‘paved’ and ‘unpaved’ roads varies between countries. For example, while in Guyane Française all the roads are paved, in Colombia, Brasil and Bolivia, more than 70% of the roads are unpaved (see GRD2). In the cases of Guyana and Suriname there is no cartographic information allowing ‘paved’ roads to be distinguished from ‘unpaved’ roads. An estimated 96% of roads are paved in Suriname. In Bolivia and Perú the construction of new roads is planned for the short and medium term. Within the framework of the IIRSA, as well as Bolivia and Perú, the construction of new roads is also planned in Brasil, Ecuador, Colombia and Venezuela. The highest road densities were detected in Ecuador (37.5 km/km2) and Guyana (20.1 km/km2), countries that account for 1.5% and 2.8% of the surface area of Amazonia respectively. These are followed by Brasil, Bolivia and Guyane Française with densities of 13.8, 11.3 and 9.8 km/km2, respectively. The remaining countries show values lower than 9 km/km2 with a low density especially notable in Colombia (3.6 km/km2). (TRD2 and MRD3)
By Basin
Tocantins
Area km²
Projected
576,164
Madeira
1,124.271
Middle-Lower Amazonas
1,600.287
Upper Amazonas
2,035.912
1,529 1,105
Unpaved
The sub-basins with the highest densities of roads are located in the south and southeast of Brazilian Amazonia (density rates between 38.4 and 67.3 km/km2), including a sub-basin shared by Perú and Ecuador (Santiago, 41.7 km/km2) (see MRD5 and TRD4). The densities of paved and unpaved roads vary between these sub-basins. In the case of unpaved roads, the density ranges from 17 km/ km2 (Western Northeast Atlantic S) to 59.8 km/km2 (Paraná B), while in the case of paved roads the densities recorded vary from zero (Paraná B) to 37 km/km2 (Western Northeast Atlantic N). It should be emphasized that although Brasil is not the country with the highest road density, it does contain the sub-basins with the highest road density figures.
Paved
Total
Total density (km/km2)
11,661
6,165
17,825
30.9
10,980
3,011
15,520
13.8
12,298
1,791
14,090
8.8
6,771
5,573
13,449
6.6
Western Northeast Atlantic
223,385
3,353
4,973
8,327
3.3
Paraná
175,114
5,537
2,537
8,074
46.1
Guyanas/Amapá
559,969
5,928
1,634
7,562
13.5
Negro
715,171
3,009
1,419
4,428
6.2
Mouth of the Amazonas/ Estuary
233,626
1,326
1,765
3,091
13.2
Orinoco
520,740
729
2,100
2,829
5.4
Parnaíba
46,813
573
574
1,147
24.5
6,217
91
89
180
28.9
Middle Amazonas
The macro-basins with the most roads are Tocantins, Madeira, Middle-Lower Amazonas and Upper Amazonas, with more than 13,000 km of roads in each, as well as the basins of the Western Northeast Atlantic and Paraná, with more than 8,000 km of roads (MRD4 and TRD3). These six macrobasins concentrate 88.4% of the roads in Amazonia, most of them unpaved. In terms of density, the most affected basins are Paraná, Western Northeast Atlantic, Middle Amazonas and Paraíba, all of which have densities ≥ 24,5 km/km2.
MRD4. Road density by Amazonian macro-basin
Road length (km)
168
Total
3,675
1,692
Total
Unpaved
46,937
4,259
Venezuela
Paved
859
Guyana Perú
Total
21,993
Total 714
Total Investment estimated (US$ million)
Bolivia Brasil
Unpaved
Suriname
Subtotal Group 5
Subtotal Group 7
Paved
Guyane Française
Subtotal Group 4
Road length (km)
Ecuador
in roads
Road Corridor Tumaco-Pasto-Mocoa-Puerto Asís (CO)
Subtotal Group 3
Country
Colombia
Estimated Investment (US$ million) total group
MRD2. Roads in Amazonia, by type
Amazonia in each country
TRD1. Road lengths in Amazonia, by type and country
BRD1. Roads in the Amazon Integration and Development Axei Projects
GRD2. Road distribution in Amazonia, by type and country GRD1. Road distribution in Amazonia, by type
RAISG 18
Amazonia under Pressure – Roads
Roads – Amazonia under Pressure
19 RAISG
TRD4. The ten Amazonian sub-basins with the highest road density Sub-basin Western Northeast Atlantic N (Brasil)
Area (km²)
Road density (km/km²)
Road length (km) Unpaved
Paved
Total
23,587
805
Middle Juruena (Brasil)
5,314
223
Santiago (Ecuador, Perú)
7,207
345
790
Western Northeast Atlantic S (Brasil)
30,922
2,231
Middle-Lower Tocantins 1 (Brasil)
57,564
Palma (Brasil)
Brasil
departmental
indirect
Natural Monument
Árvores Fossilizadas do Tocantins
326
117.8
Brasil
departmental
indirect
State Park
Morro dos Seis Lagos
375
109.4
Brasil
departmental
direct
Environmental Protection Area
Igarapé São Francisco
297
81.9
339
30.3
37.0
67.3
107
59.8
0.0
59.8
Brasil
departmental
direct
Environmental Protection Area
Curiaú
226
79.1
142
34.1
14.3
48.4
Brasil
departmental
indirect
State Park
Águas do Cuiabá
106
73.3
223
42,0
0.0
42.0
Brasil
departmental
direct
Environmental Protection Area
Lago de Palmas
601
61.2
134
12.7
29.0
41.7
Brasil
national
direct
Extractive Reserve
Quilombo Frechal
176
60.5
3,164
395
17.0
24.2
41.2
Bolivia
departmental
direct
Watershed Protection Area
Cumbre de Apacheta
155
60.0
Brasil
national
direct
Environmental Protection Area
Igarapé Gelado
203
42.8
1,099
1,260
359
19.1
21.9
41.0
Brasil
national
direct
Extractive Reserve
Mata Grande
133
42.2
16,580
338
338
676
20.4
20.4
40.7
TRD8. Length and density of road types in Amazonian ITs, by territory type
Middle-Lower Tocantins 2 (Brasil)
71,291
1,693
1,174
868
23.8
16.5
40.2
Ji-Paraná (Brasil)
75,042
2,237
643
880
29.8
8.6
38.4
337
Road length (km)
Type of IT
Road density (km/km2)
by direct use departmental PNAs (7.2 km/km2) and by the direct use national PNAs (3.0 km/km2). The PNAs of other administrative levels and types of use have densities ≤ 2.3 km/km2 (TRD6 and MRD6). The PNAs with the highest road densities are located in Brasil (density figures between 42.2 and 117.8 km/km2), seven of them in direct or indirect departmental PNAs and three in direct use national PNAs (TRD7 and MRD6).
By Indigenous Territories The total length of the roads identified in Indigenous Territories (ITs) was 9,530 km, distributed between paved roads (2,391 km, 25.1% of the total), unpaved roads (6,424 km, 67.4%) and planned roads (715 km, 7.5%). The greatest lengths are found in officially recognized ITs (5,471 km, 57.4% of the total), followed by the areas of traditional occupation without official recognition (3,968 km, 41.6%) and by the territorial reserves or intangible zones (91 km, 1%) (TRD8 and MRD7). MRD7. Road density by IT in Amazonia
Total area (km²)
Total
Araguaia (Brasil)
Road density (km/km2)
Paved
107
Area (km2)
Name
Unpaved
1,791
Categorya
Projected
Paranã B (Brasil)
Total
Type of use
Total
736
Paved
Sphere
Paved
603
Unpaved
Country
Unpaved
19,883
TRD6). The highest densities are found in direct/indirect use national PNAs (19.5 km/km2), followed
TRD7. The ten PNAs (with areas over 100 km²) with the highest road density in Amazonia
Projected
MRD5. Road density by Amazonian sub-basin
1,603.652
500
4,472
499
5,471
0.3
2.8
0.3
3.4
491,673
124
1,952
1,892
3,968
0.3
4
3.8
8.1
29,336
91
-
-
91
3.1
0
0
3.1
2,124.661
715
6,424
2,391
9,530
0.3
3.0
1.1
4.5
GRD3. Road distribution in PNA in Amazonia, by administrative sphere and type of use IT officially recognized IT not officially recognized Territorial Reservation or Intangible zones Total
By Protected Areas
BRD2. IIRSA road between Pucallpa and Cruzeiro do Sul: a project in question
The total length of roads identified inside Protected Natural Areas (PNAs) was 7,202 km, distributed between paved roads (2,160 km, 30% of the total), unpaved (4,416 km, 61.3%) and planned (626 km, 8.7%). The largest lengths are found in direct use departmental PNAs (3,583 km, 49.7% of the total), followed by indirect use national PNAs (1,754 km, 24%) and by direct use national PNAs (1,280 km, 17.7%). The PNAs of other administrative levels and types of use have road lengths ≤ 292 km (TRD5 and GRD3). The total density of roads identified inside PNAs was 3.3 km/km2, distributed between paved roads (1.0 km/km2), unpaved roads (2.0 km/km2) and planned roads (0.3 km/km2). This figure is lower than all the national figures [min-max: 3.7 km/km2 (Colombia) – 37.5 km/km2 (Ecuador)] (TRD2 and
TRD5. Length of road types in PNA in Amazonia, by administrative sphere and type of use Administrative sphere and type of use
MRD6. Road density by PNA in Amazonia
Area (km²)
Direct use departmental
497,202
Indirect use departmental
129,730
Direct use national
426,566
Direct/Indirect use national
Road Length (km) Projected 10
Unpaved
Paved
Total
Road Density (km/km2)
2,175
1,399
3,583
7.2
258
34
292
2.3
178
817
285
1,280
3.0
76
5
81
19.5
Indirect use national
774,180
396
951
406
1,754
2.3
Transitory use national
327,326
42
139
30
211
0.6
2,159.169
626
4,416
2,160
7,202
3.3
Total
Road Length (km)
General total
4,165
TRD6. Density of road types in PNA in Amazonia, by administrative sphere and type of use Administrative sphere and type of use Direct/Indirect use national
Amazonia under Pressure – Roads
Road Density (km/km²) Projected
4,165
Unpaved
Paved
18.3
1.2
19.5
81
Direct use departmental
497,202
4.4
2.8
7.2
3,583
Direct use national
426,566
0.4
1.9
0.7
3.0
1,280
Indirect use national
774,180
0.5
1.2
0.5
2.3
1,754
Indirect use departmental
129,730
2.0
0.3
2.3
292
Transitory use national
327,326
0.1
0.4
0.1
0.6
211
2,159.169
0.3
2.0
1.0
3.3
7,202
General total
RAISG 20
Area (km²)
The Pucallpa–Cruzeiro do Sul road project, connecting the port of Callao on the Pacific Ocean of Peru with Cruzeiro do Sul, Brazil, passing through Pucallpa, is part of the Initiative for the Integration of Regional Infrastructure in South America (IIRSA). IIRSA has a portfolio of more than 350 projects for road, energy and communications infrastructures, organized along geographical axes. This road project, which would establish IIRSA’s Central Axis in Peru, is the least advanced of the three axes impacting this country (North, Center and South). This integration has been an objective pursued by national and regional authorities since 2006 when the presidents of Peru and Brazil agreed to work towards completing the northern and central bi-national projects to connect their countries. At the end of 2009, Presidents Alán García and Lula da Silva signed 16 bilateral cooperation agreements, including a commitment to conclude the Central Axis. According to those promoting this project, the road will be the solution to the problems of isolation and lack of economic development Identified in this central cross-border region. Although the IIRSA plan for construction of the road appears to be underway, a number of conflicting views exist concerning the type of interconnection that should be made between Pucallpa and Cruzeiro do Sul. On the Peruvian side, the Executive apparently decided in favor of the road, since the Ministry of Transport and Communications (MTC) and the Special Infrastructure Project for National Transport – PROVÍAS NACIONAL have carried out a pre-viability study that indicates the route of the future road. However during the previous government administration, Congress declared in the national interest the construction of the ‘Brazil-Peru’ Atlantic-Pacific Transcontinental Railway along the same route. The regional government of Ucayali also supports the railway option because of its lower impact on the environment. On the Brazilian side, the scant news available on the subject suggests that the interconnection option favored is also the railway. According to the Brazilian Ambassador to Peru, Carlos Alfredo Lazary Teixeira, “a consensus exists among the authorities in Brazil that the connection between the cities of Pucallpa in Peru and Cruzeiro do Sul should be via railway rather than road in order to safeguard and care for the environment.” On the Peruvian side several studies indicate that the route proposed by the Peruvian MTC could have very negative impacts for the Sierra del Divisor PNA and for the Reserve established to protect the Isconahua indigenous people living in isolation, both on the Peruvian side. On the Brazilian side, it would directly affect the Serra do Divisor National Park and the indigenous territories bordering on the park. The Regional Group for Monitoring Mega-Protects in the Ucayali Region, created in July 2008 by representatives of indigenous communities, the regional government and civil society, expressed considerable concern over the lack of official transparency in the handling of information and decisions relating to the PucallpaCruzeiro do Sul interconnection, as well as the absence of dialogue with the local actors involved. According to the public declaration made by the Regional Group, they questioned the convocation for the pre-viability study since it was made “without elaborating a development strategy for the frontier between Ucayali and Acre, nor indeed a long-term environmental strategy, that clearly includes the procedures of prior and informed consultation before, during and after the project.” (Pedro Tipula/IBC)
Roads – Amazonia under Pressure
21 RAISG
The ITs with the highest road densities are in Guyana (Kaburí IT and Shulinab IT with densities of 209.9 and 165.2 km/km2, respectively), Perú (TI Urakuza and TI Wawik with densities of 153.9 and 146.9, respectively), Brasil (Tabalascada IT, with a density of 155.9 km/km2), Ecuador (San Francisco IT, with a density of 116.8 km/km2) and Bolivia (Yaminahua Machineri IT, with a density of 114.6 km/km2) (TRD10).
Total
% of ITs by country
Projected
The density of paved roads within ITs is high in Ecuador (14.4 km/km2), while the density of unpaved roads is significant in officially recognized ITs in Guyana (30.5 km/km2). The density of planned roads is high in Perú, affecting especially officially recognized ITs (2.9 km/km2) and territorial reserves (3.1 km/km2) (TRD9).
BRD3. Development versus conservation: the TIPNIS case in Bolivia
Road density (km/km2) Unpaved
At national level the two countries with the highest road densities in ITs are Guyana and Ecuador (30.5 and 25.5 km/km2, respectively), followed by Bolivia (12.6 km/km2 in ITs without official recognition and 4.2 km/km2 in officially recognized ITs). The remaining countries show figures lower than 10 km/ km2 (TRD9 and GRD4). With the exception of the density rate in officially recognized ITs in Bolivia, the previous figures exceed the regional density (12.4 km/km2).
TRD9. Density of road types in IT in Amazonia. by country and territory type
Paved
The total density of roads identified inside ITs was 4.5 km/km2, including paved roads (1.1 km/ km2), unpaved roads (3.0 km/km2) and planned roads (0.3 km/km2). The highest densities were found in areas of traditional occupation without official recognition (8.1 km/km2), followed by officially recognized ITs (3.4 km/km2) and territorial reserves or intangible zones (3.1 km/km2) (TRD8).
IT not officially recognized
0.8
9.4
2.4
12.6
16.8
IT officially recognized
0.0
2.5
1.7
4.2
Brasil*
22.2
IT officially recognized
0.4
2.8
0.0
3.2
Colombia*
53.4
IT officially recognized
Ecuador*
57.4
IT not officially recognized
Guyana*
14.7
Country
9.6
Bolivia
Type of IT
0.0
0.1
0.0
0.1
14.4
11.2
0.0
25.5
IT officially recognized
0.0
30.5
0.0
30.5
8.2
IT officially recognized
2.3
0.0
0.0
2.3
1.7
IT not officially recognized
0.0
0.7
1.0
1.6
3.6
Territorial Reservation or Intangible Zones
0.0
0.0
3.1
3.1
13.6
IT officially recognized
0.2
1.9
2.9
5.0
Suriname*
30.3
IT not officially recognized
0.0
5.5
0.0
5.5
Venezuela*
67.4
IT not officially recognized
3.2
1.5
0.0
4.7
Guyane Française* Perú
* There is only one type of IT in these countries.
Conclusion The presence of roads in Amazonia encourages and accelerates deforestation. Their construction is associated with predatory forms of forest resource extraction (such as illegal logging), the substitution of forest landscapes with agrarian landscapes, and the large-scale infrastructure and urbanization projects. Roads are clearly associated with regions with higher levels of deforestation, as in the notorious case of the so-called ‘arc of deforestation’ in the Brazilian Amazonia, where the BelémBrasília (BR-153), Cuiabá-Santarém, (BR-163) and Cuiabá-Porto Velho (BR-364) highways are located. Another example is the transoceanic highway between Puerto Maldonado (Perú) – Cobija (Bolivia) – Rio Branco (Brasil), inaugurated in 2011, which aims to improve trade between the three countries and facilitate the exportation of Brazilian products to China and Peruvian products to Africa and Europe. This highway could quickly double the number of inhabitants of Puerto Maldonado, today numbering more than 200,000 people. At the same time the region is experiencing an exponential growth in illegal roads associated with forest degradation, especially through illegal logging. Although Brasil has the largest road network, road density occupies third place in the region after Ecuador and Guyana. The largely peripheral distribution of the roads affects the headwaters of Amazonia’s macro-basins, especially those of the Upper and Middle Amazon. In some cases the socioenvironmental impacts associated with road construction are only mentioned or remain subordinate to the political decision to build them (for example, the construction of the section 2 of the road linking Villa Tunari to San Ignacio in Bolivia). Another example that stands out is the Porto Velho-Manaus-Boa Vista-Caracas route, which crosses the central part of Amazonia and which is considered a key route connecting the region’s north and south. Generally speaking the PNAs and ITs have road densities between three and four times lower than the regional density. This shows their potential as conservation strategies that work to slow down the intervention processes. Nonetheless, the direct/indirect use national PNAs (Bolivia and Guyana) and the direct use departmental PNAs (Bolivia and Brasil) do not seem to perform this role. Most of the officially recognized ITs show a lower level of impact. More detailed analyses are needed in Guyana, Ecuador and Bolivia to understand the causes of the observed patterns.
TES10. The two ITs (with an area over 100 km²) with highest road density in each country in Amazonia Country
Bolivia Brasil Colombia Ecuador Guyane Française Guyana Perú Suriname
Name
Type of IT
Area (km²)
Road length (km)
Road density (km/km2) 114.6
Yaminahua Machineri
IT not officially recognized
308
35
Canichana
IT not officially recognized
251
16
62.2
Tabalascada
IT officially recognized
130
25
155.9
Barata/Livramento
IT officially recognized
123
12
94.6
Ríos Atabapo e Inírida (Cacahual)
IT officially recognized
5,239
111
1.4
Predio Putumayo
IT officially recognized
58,964
3
0.1
San Francisco
IT not officially recognized
100
12
116.8
Juan Pío Montufar
IT not officially recognized
167
32
93.9
Galibi (Costa)
IT officially recognized
179
15
85.6
Kaburi
IT officially recognized
108
23
209.9
Shulinab (Macusi)
IT officially recognized
384
63
165.2
Urakuza
IT officially recognized
189
29
153.9
Wawik (Nuevo Belén)
IT officially recognized
107
16
146.9
Moiwana
IT not officially recognized
432
29
67.9
Santigron
IT not officially recognized
1,441
90
62.1
Venezuela
Etnia Hiwi
IT not officially recognized
2,901
168
57.9
Venezuela
Etnia Kari'ña
IT not officially recognized
5,122
172
33.6
GRD4. Road distribution in ITs in Amazonia, by country and territory type
The Isiboro Sécure National Park and Indigenous Territory (TIPNIS) is one of the 22 PNAs of Bolivia and covers around 1.3 million hectares (~1.2% of Bolivia’s surface). TIPNIS is bounded by the Isiboro River to the south and the Sécure River to the north – which lend their name to the area – in the departments of Cochabamba and Beni. It was created in 1990 with the aim of conserving the seasonally flooded Amazonian rainforest and the culture and customs of the indigenous peoples living in the region (more than 12,000 inhabitants including the Mojeño, Yaracaré and Chimane). It is estimated that around 86% of its surface is still in a good state of conservation and that its core area (a fully protected zone) is without human disturbance. This scenario contrasts with the reality that has developed to the south of the TIPNIS where expanding colonization and farms dedicated primarily to growing coca threaten the conservation of the area’s socio-environmental diversity. As a result of political pressure by the colonists and coca growers, part of TIPNIS was annulled as indigenous territory and is now occupied by rural colonists engaged in coca cultivation. This area is known as ‘Polygon 7’ and covers a surface area of about 100,000 ha between the communities of Villa Tunari and Isinuta where around 20,000 families live. The proposed construction of a paved road (306 km in length and 9.2 m in width) passing through the TIPNIS to connect the inhabitants of Villa Tunari (Department of Cochabamba) with those of San Ignacio (Department of Beni) has alarmed conservationists and environmental institutions in Bolivia, leading to debates on the advantages and disadvantages of its construction. It also stirred up widespread interest in the Bolivian society as a whole (especially young people) to learn more about the value of protected areas and indigenous territories existing in Bolivia, polarizing the population between the different viewpoints regarding how Bolivians understand conservation and development. In this case, the major conflict centers on section II of the road, linking the populations of Isinuta with those of Montegrande da Fe, the latter located in TIPNIS’ fully protected zone. Construction of the road is not a recent initiative: the first plans emerged in 2006 before being conceded to the Brazilian company OAS in 2008. In 2010, after a march organized by CIDOB (Confederation of Indigenous Peoples of Eastern Bolivia) the work was stopped in order to carry out prior consultation, a right of indigenous peoples recognized in the Bolivian Constitution (Article 30), and established in the ILO Convention 169 (Article 6). The consultation process was scheduled for the second half of 2012 and the results to be made public at the beginning of 2013. Resolution of the TIPNIS conflict will undoubtedly set a precedent in terms of Bolivian society’s perception of what indigenous territories and protected areas should be. (Daniel Larrea/FAN)
Isiboro-Secure Indigenous Land and National Park (TIPNIS), Cochabamba Department, Bolivia. © Fernando Soría, 2006
Indigenous people from Bolivian Amazonia on the eighth march to La Paz to protest against the construction of a highway crossing the Isiboro-Secure Indigenous Land and National Park (TIPNIS). © Fernando Soría, 2011
A full assessment of circulation and transportation in Amazonia requires the inclusion of waterways (associated with farm production) and railways (associated with mining). Monitoring the construction of roads planned under the IIRSA agreements– which may modify the territorial dimension of the development and especially the conservation of Amazonia – needs to be prioritized in the region’s environmental agendas.
RAISG 22
Indigenous march in protest against the highway in the TIPNIS Park reaches La Paz. © Szymon Kochanski, 2011 Amazonia under Pressure – Roads
Roads – Amazonia under Pressure
23 RAISG
MOG1
Oil and Gas in Amazonia
OIL and GAS T
he growing demand for oil and gas at the global level and the high price of oil have stimulated prospecting and drilling activities in Amazonia at unprecedented levels (Finer et al., 2008). The Amazonian countries view oil and gas as strategic resources and claim ownership at the constitutional level. Governments allocate these resources via policies that typically fail to include prevention and mitigation of socio-environmental impacts generated by the extraction of these resources nor the investments needed to compensate for them. Among the main impacts related to these extractive activities are: alterations in the quality of water and air, soil contamination, habitat destruction, change in soil cover, erosion, changes in the behavior and distribution of species and the introduction of disease vectors (Correa-Viana & Esclasans, 2011). As part of the socio-environmental diversity of Amazonia, the eco-systemic services and the traditional and scientific bodies of knowledge are also considered strategic resources, especially within the framework of climate change. The global economic context poses a dilemma for both the developing and emerging countries: on one hand, the need to eradicate poverty and hunger, and on the other the need to conserve Amazonia as a grand ecosystem that contributes to the welfare of its inhabitants and of the planet. Responding to this challenge presumes the need to maintain socio-environmental diversity as a vital part of the development of oil and gas reserves, as well as a search for alternative energy sources compatible with the region’s unique features. Neither the industrialized countries nor the developing countries have managed to reach a consensus on progressively and decisively reducing their high dependence on fossil fuels. Countries like Perú, Colombia and Ecuador have sizeable oil reserves in Amazonia from which they expect to obtain the financing for and the push forward to satisfy their national needs and development projects. As a result, oil exploration and production in Amazonia has multiplied over the last decade and will continue to grow over the foreseeable future.
Context The environmental policies and regulations regarding the exploration and extraction of hydrocarbons, as well as those for other extractive industries, are in the process of being consolidated in the different countries of the region. Generally speaking there is a lack of planning instruments that consider and include the conservation and sustainable use of natural resources in the plans, programs and policies of this sector. This situation fails to meet the obligations established in Convention 169 of the ILO (1991) – ratified by all the Amazonian countries except Guyana, Guyane Française and Suriname – and the Convention on Biological Diversity (CBD), ratified by all the countries. The protection of the socio-environmental heritage of Amazonia is an urgent issue for the region’s governments. The opposition of indigenous and environmental movements to hydrocarbon activities is increasingly more common. At the same time, judicial entities at the national and international levels are showing a tendancy to recognize the collective rights of indigenous peoples and the protection of nature.
Oil well in the region of the Yasuní National Park, Napo river, Ecuador. © Pablo Baños/Avina, 2010
Currently 81 oil/gas blocks are under production, but there are another 246 blocks oil/gas blocks open for bidding, under tender or under exploration
Ä
The 327 oil/gas blocks that could potentially be brought under production occupy 1.08 million km2 or 15% of Amazonia 24 companies work in oil exploration in Amazonia, though just nine of them dominate 78% of the blocks under production Perú has the largest surface area dedicated to oil production, 84% of its area of Amazonia, while Colombia has demarcated the largest number of blocks (102)
¸ ¾
In six Amazonian countries the oil blocks overlap with PNAs and ITs
Prospecting and drilling for oil and gas take place within a political and regulatory framework which consistently fails to recognize or incorporate any real limits or safeguards to protect socio-environmental diversity. Sometimes oil and gas companies can operate virtually without any government control over these aspects, causing negative impacts and pressures that are exacerbated in particularly fragile ecosystems such as those of Amazonia (see BOG1: The main oil companies with interests in Amazonia). The environmental contamination, generated by the inevitable leakage and dumping of oil and toxic refuse, causes long-term harm to the health of local inhabitants and to the natural habitat. The construction of roads, oil/gas pipelines and other associated infrastructure exacerbates forest degradation and clearance, along with the advance of colonization, which in turn leads to outbreaks of disease, the weakening of social relationships and forms of control in indigenous communities, and other negative impacts.
Cartographic sources for the theme Oil and Gas: • BOLIVIA: FAN, 2009 • BRASIL: Instituto Brasileiro de Geografia e Estatística - IBGE, Malha Municipal 1:1.000.000, 2005 • COLOMBIA: Fundación Puerto Rastrojo (Atlas de la Amazonía Colombiana), 2001; IGAC, 2010 • ECUADOR: Ministerio de Transporte y Obras Públicas, 2006 • PERÚ: Ministerio de Transporte y Comunicaciones - MTC, 2008 • SURINAME: Digital Chart of World, 1993 • VENEZUELA: Instituto Geográfico de Venezuela Simón Bolívar, 2003. Ocean and relieve: World Physical Map, U.S. National Park Service, in ArcGIS Online Services.
Ä Since the 1990s, civil society organizations
RAISG 24
Amazonia under Pressure – Oil and Gas
Terminal of Petrobras’s Urucu gas pipeline in Coari. Amazonas, Brasil. © Ricardo Stuckert, 2006
in Ecuador have tried to impose a moratorium on oil production in the Yasuní region, where indigenous peoples live in isolation.
¾ The Acre and Madre de Dios
sedimentary basins are considered new frontiers for oil and gas exploration in western Amazonia.
¸ In Perú, 66.3% of indigenous lands are overlapped by oil/gas blocks.
Oil and Gas – Amazonia under Pressure
25 RAISG
BOG2. State, oil and indigenous lands in the Ecuadorian Amazonia
Methodology The georeferenced information on the concessionary blocks awarded for hydrocarbon activities was compiled from different secondary sources located in the different Amazonian countries. These blocks were classified into four types according to their current phase: Open for Bidding (concessionary blocks offered by the government), Under Tender (concessionary blocks with a pending offer awaiting official approval), Under Exploration (concessionary blocks with a company actively prospecting) and Under Production (concessionary blocks producing oil or gas). TOG1 shows which of the six countries that offer concessionary hydrocarbon blocks recognize each of these phases. In order to display the results, block polygons were ignored when the area overlapping the units of analysis was less than 9 ha.
Amazonia as a whole There are currently 327 hydrocarbon blocks in Amazonia. They cover a total area of 1,082,704 2 km (14% of Amazonia’s surface). These include those Open for Bidding (6.2%), those Under Tender (1.8%), those Under Exploration (5.6%) and those Under Production (0.5%). The 81 blocks now under production occupy 40,717 km2, while the blocks in the other three phases occupy a total area of 1,041,988 km2 (TOG2). 80% (263) of the blocks are concentrated in the Andean Amazonia (MOG2). It should be emphasized that this region contains almost half of the indigenous peoples, including those still living in isolation, half of the water, the largest biodiversity per unit area and the most varied socio-environmental services in the entire Amazon region. MOG2. Oil/gas blocks in Amazonia, by activity phase
BOG1. The main oil companies with interests in Amazonia At least 71 oil companies are now operating in Amazonia. Among them are 20 public and private companies that, combined, are operating in 60% of the surface area delimited as oil concessions (approximately 648,000 km2). There are 24 companies involved in oil production at the regional level. Nine of them operate in 78% (31,835 km2) of the surface of the concessions in this phase. Those with the largest concessions are: Pluspetrol of Argentina with 8,826 km2 in Peru; the Ecuadorian Petroamazonas EP with 4,785 km2 in Ecuador; the Anglo-French Perenco with 4,616 km2 in Ecuador; and Petroriental of China with 3,197 km2 in Ecuador. There are 50 companies operating across Amazonia in the exploration phase. Ten of them cover 67% (288,548 km2) of the surface area of concessions in the exploration phase. The companies exploring the largest areas are: Petrobras with 61,487 km2; Talisman Energy of Canada with 30,491 km2; OGX Petróleo e Gás Ltda of Brazil with 28,744 km2 in the same call in Brazil; and the US company Burlington with 27,197 km2 in Peru. Companies with oil/gas blocks over 10,000 km2 #
Total area (km2)
Company
Countries
Phases
1
Agencia Nacional de Hidrocarburos
87,624
Colombia
Open for bidding
2
Petrobras
72,131
Bolivia, Brasil, Colombia, Perú
Open for bidding, under exploration, under production
3
Talisman
54,248
Colombia, Perú
Open for bidding, under exploration
4
YPFB Petroandina
53,837
Bolivia
Open for bidding
5
Upland Oil & Gas
37,080
Perú
Under tender
6
Pluspetrol
36,864
Colombia, Perú
Open for bidding, under exploration, under production
7
Petron Resources
29,441
Perú
Under tender
8
Burlington
29,197
Ecuador, Perú
Under exploration, under production
9
OGX Petróleo e Gás Ltda,
28,744
Brasil
Under exploration
10
Petra Energía S/A
26,719
Brasil
Under exploration
11
CEPSA
25,748
Perú
Under exploration
12
REPSOL-YPF
24,582
Bolivia, Ecuador, Perú
Under exploration, under production
13
Pacific Stratus Energy
24,112
Colombia, Perú
Under exploration
14
M&S Brasil S,A,
23,184
Brasil
Under exploration
15
BHP Billiton Petroleum
19,666
Colombia
Open for bidding
16
Hunt Oil
18,695
Perú
Under exploration
17
Petrolifera
16,640
Perú
Under exploration
18
Grantierra Energy
14,671
Colombia, Perú
Under exploration, under production
19
Ecopetrol S,A,
14,226
Colombia
Open for bidding, under exploration, under production
20
Petrominerales
10,926
Colombia, Perú
Under exploration
Until the mid 20th century light crude oil was extracted off the coast of Ecuador by Anglo, providing relatively few benefits for the country. During the dispute over the border between Ecuador and Peru (1941), oil surveying was begun in the south central part of the Ecuadorian Amazonia by Shell. Two decades later activities began in the northeastern sub-region (bordering with Colombia) where, in 1967, Texaco-Gulf began extracting oil at the Lago Agrio 1 well and the state oil company CEPE (subsequently Petroecuador and today Petroamazonas EP) began activities in the Amazonas District, which included wells, fields, stations, oil pipelines, multi-purpose pipelines and roads, as well as oil towns: Lago, Coca, Shushufindi and Sacha. This meant the forced relocation, ethnocide and acculturation of indigenous peoples like the Tetete (now extinct) and other Tukano-speaking groups (Siona and Secoya), Barbacoano (Cofán) and Waorani. One can still see the Texaco legacy in this region including pools with waste and toxic water that flows into the rivers or underground water system, degradation and deforestation, tied to cases of leukemia and other cancers. Consequently in 1994 a group of 30,000 people affected by this toxic legacy decided to sue in a US court those responsible for these operations at the time, Texaco and today Chevron, which absorbed the former almost a decade ago. Although oil income has financed much of the national revenue since 1972 when exports began, Amazonian oil is not as important a factor in the country’s energy security as it should be since Ecuador imports oil derivatives (naphta, liquefied gas and bunker) for a domestic market seriously distorted by subsidized prices (U$ 1.5/gal). In the face of this, in the mid 1990s civil and indigenous organizations requested a moratorium on the extraction of heavy crude oil in protected areas and intangible zones for indigenous peoples living in voluntary isolation, such as in the Yasuní. This was a forerunner of the initiative adopted by the government in 2008 to leave 900 million barrels of oil in the ground in exchange for compensation from the international community equivalent to 50% of the estimated revenue from oil exports. It was also argued that this deal would enable the reduction of emissions in an effective form shared between exporting and consuming countries. However there has been no concrete response, not so much because of the novelty of the financing mechanism – run by the UNDP – but because of the lack of guarantees for the continuity of this ‘post-oil’ policy. From the beginning, President Correa warned that if the initiative is not consolidated, ‘Plan B’ will be launched within a limited time-frame for the extraction of these proven reserves. Although the supposed start of this plan has been postponed since 2009, the beginning of a new oil round has also been announced with the intention of tendering 2 million hectares in the south central part of the Ecuadorian Amazonia where the surveys by Shell and Petroecuador proved negative for commercial reserves. This puts increased pressure on a region of high importance due to its large socio-environmental diversity (headwaters of the Pastaza, Tigre and Morona rivers), because the government and the oil companies anticipate extending the oil frontier south from its current center in the northeast, affecting indigenous territories (Achuar, Andoa, Sapara, Shiwiar and Kichwa de Pastaza) in a sub-region that contains few protected or natural heritage areas (PANE). Prior informed consultation also lacks a consistent legal framework after a presidential decree annulled the specific regulations in 2008. Neither the pre-legislative nor popular consultation established by the Constitution seem viable options for maintaining the protected areas free of hydrocarbon activities, especially now that the State is set to pay China (US$ 5 billion) with the anticipated sale of oil up until 2016. (Víctor López/EcoCiencia)
expected reserves of 120 million barrels of oil, were put up for bidding (BOG2: State, oil and indigenous territories in Equatorial Amazonia). In terms of surface area the largest threat is found in Perú and Colombia where the hydrocarbon blocks open for bidding plus those already under exploration occupy 82.9% and 24.4% of these two countries’ Amazonian territories (TOG4).
By basin The Amazonian macro-basins containing the largest surface areas of hydrocarbon blocks (in any phase) are the Upper Amazonas (with 855,120 km2, equivalent to 42% of the basin’s total surface area), Orinoco (138,349 km2, 26%) and Madeira (131,522 km2, 11%) (MOG3). The ten sub-basins with the largest surface areas of oil blocks are found in the Upper Amazonas macro-basin (TOG5 and MOG4). MOG3. Proportion of oil/gas blocks per macro-basin in Amazonia
GOG1. Distribution of surface area of oil/gas blocks in Amazonia, by activity phase and country
Source: RAISG Databasis (see Cartographic sources in MOG1).
TOG1. Oil/gas activity phases in Amazonia, by country Country
Open for bidding
Bolivia
X
Under tender
Under exploration
Brasil Colombia
X
Under production
X
X
X
X
X
X
Ecuador Perú
MOG4. Proportion of oil/gas blocks per sub-basin in Amazonia
X X
X
Venezuela
X
X
X
X
TOG4. Surface area of oil/gas blocks in Amazonia, by activity phase and country (km2) Country
TOG2. Quantity and surface area of oil/gas blocks in Amazonia. by activity phase Phase
Amazonia in each country The Amazonian countries with the largest surface areas dedicated to hydrocarbon activities in all phases are: Perú (84%), Colombia (40%) and Ecuador (21%). Ecuador is the country with the largest area of hydrocarbon blocks under production in Amazonia. Although only 3% of Brazilian Amazonia has blocks, these occupy 127,862 km2, which represents the third largest surface area after Perú and Colombia (TOG3). Colombia is the country that has demarcated the largest number of blocks (102), followed by Perú (92), Bolivia and Brasil (55 each) (GOG1). Venezuela, considered the oil producer par excellence, has demarcated few blocks in the Amazonian portion of the country since its main reserves are located outside this region (PDVSA, 2012). In Brasil most of the blocks under production are found offshore. Similarly in Suriname, Guyana and Guyane Française the majority of concessionary blocks are also located in their territorial waters (Kriege & Chedi-Toelsie, 2006; Way, 2012). In Ecuador the information obtained refers exclusively to blocks under production, but the country is known to have begun the XI Oil Round, in which 12 blocks in the southeast of the country, with
% of total blocks
% of total Amazonia
Under exploration
Under production
Total
Amazon area (km2)
Perú
253,447
133,336
262,385
10,770
659,937
782,820
170,003
21,367
2,044
193,414
483,164
126,843
1,019
127,862
5,006,316
53,837
17,879
1,500
73,215
479,264
Open for bidding
85
477,286
44.1%
6.2%
Under tender
20
136,228
12.6%
1.8%
Brasil
Under exploration
141
428,473
39.6%
5.6%
Bolivia
Under production
81
40,717
3.8%
0.5%
Ecuador
24,957
24,957
116,284
Venezuela
2,892
427
3,319
453,915
477,286
136,228
428,473
40,717
1,082.704
7,321.763
Total
327
1,082.704
100.0%
14.0%
Total
TOG3. Quantity and surface area of oil/gas blocks in Amazonia, by country Country
Amazon area (km ) 2
Nº of blocks
Blocks area (km2)
% surface of blocks in relation to Amazonia by country
Perú
782,820
92
659,937
84%
Colombia
483,164
102
193,414
40%
Ecuador
116,284
14
24,957
21%
Bolivia
479,264
55
73,215
15%
Brasil
5,006.316
55
127,862
3%
Venezuela
453,915
9
3,319
1%
Guyana
214,969
0
-
-
86,504
0
-
-
Suriname Amazonia under Pressure – Oil and Gas
Area (km2)
Under tender
Colombia
Guyane Française
RAISG 26
Number of blocks
Open for bidding
Total
163,820
0
-
-
7,787.056
327
1,082.704
15%
TOG5. The ten Amazonian sub-basins with the largest overlap of oil/gas blocks (km2) Sub-basin Ucayali (middle) Marañón (middle) Marañón (lower) Marañón (middle-lower) Amazonas Alto (middle) Pachitea Ucayali (lower) Amazonas Alto (lower) Marañón Tambo
Sub-basin area (km2) 22,046 4,284 2,223 36,342 27,832 29,026 111,078 32,941 81,498 32,405
Area covered by blocks (km2) 21,946 4,264 2,213 36,159 26,371 26,520 101,217 29,825 72,585 27,892
% 100 100 100 99 95 91 91 91 89 86
Phase Under exploration, under tender, open for bidding Under exploration, under tender, open for bidding Open for bidding, under exploration Open for bidding, under exploration, under production Open for bidding, under exploration Under exploration, under tender, open for bidding Open for bidding, under exploration Under exploration, under tender, open for bidding, under production Under exploration, under tender, open for bidding Under exploration, under tender, open for bidding Oil and Gas – Amazonia under Pressure
27 RAISG
By Protected Area
By Indigenous Territories
TOG6. Surface area of oil/gas blocks in PNAs in Amazonia, by country Country
PNA surface (km2)
PNA area covered by blocks (km2)
% covered by blocks
The hydrocarbon blocks in Amazonia overlap with 6% (115,784 km2) of the total surface area of the Protected Natural Areas (PNAs) (TOG6). The blocks open for bidding superimposed with PNAs make up 58% of this total (67,331 km2), those under tender make up 3% (3,910 km2), those under exploration make up 34% (33,808 km2) and those under production 5% (5,735 km2) (TOG7). The most critical situations appear in Perú where 49% of the PNAs are covered with hydrocarbon blocks, Bolivia (23%) and Ecuador (17%), irrespective of the phase in which they are found (MOG5).
Perú
159,846
77,597
49%
Bolivia
135,524
30,555
23%
29,836
5,196
17%
95% of the total surface area of hydrocarbon blocks in PNAs, corresponds to those up for bidding, under tender and under exploration. Most of these are located in Perú and Bolivia. Ecuador contains the largest number of oil blocks under production inside PNAs (GOG2). If the Yasuní ITT initiative is not implemented, the Yasuní National Park will be threatened with the possibility of an expansion in oil production to as much as 900 million barrels of extra heavy oil. In terms of PNA categories, 97% of the areas overlapped with hydrocarbon blocks are in national PNAs in the transitory use category; only 1% is located in the departmental PNAs for direct use. .
Total
Ecuador Colombia Brasil Venezuela
81,842
1,426
2%
1,173.962
976
<1%
171,145
35
<1%
1,845.864
115,784
6%
BOG3. Oil and gas surveying in the sedimentary basins of Acre and Madre de Dios
GOG2. Proportion of PNAs in Amazonia with oil/gas blocks, by country and activity phase
MOG5.Proportion of oil/gas blocks in PNAs in Amazonia
TPG7. Surface area of oil/gas blocks in PNAs in Amazonia, by activity phase, administrative sphere and type of use Area covered by blocks (km2) PNA administrative sphere and type of use
Open for bidding
Under tender
Under exploration
Under production
Total
PNA surface (km2)
% covered by blocks
National-transitory use*
13,318
441
10,808
121
24,688
25,390
97%
National-direct use
16,431
2,551
19,436
40
38,458
429,415
9%
National-indirect use
33,941
918
6,260
5,570
46,689
764,180
6%
Departmental-direct use Total
3,641
0
2,305
4
5,949
494,425
1%
67,331
3,910
38,808
5,735
115,784
1,845.864
6%
* Without considering the area of the Forest Reserveof the Act 2nd from Colombia.
GOG3. Proportion of ITs in Amazonia with oil/gas blocks, by country and activity phase
The oil and gas surveying activities now taking place in the sedimentary basins of Acre and Madre de Dios, considered the ‘new frontier,’ form an integral part of the 2002 Ten-Year Plan and the 2007 Multi-Annual Plan (2007-2012) with estimated investments of R$ 137 million in these basins. Since 2007 various phases of exploration have been carried out in Acre and in the southwestern portion of Amazonas, including specialized technical services in capturing and processing aerogravimetric and aeromagnetic data along 105,000 lineal kms in the sedimentary basins of Acre, Madre de Dios and Solimões; aerial reconnaissance along 24,000 lineal kms in the sedimentary basins of Acre and Madre de Dios, covering practically the entire area of the State of Acre, excluding a strip along the borders with Peru and Bolivia; and specialized technical services in the collection, laboratory analysis and interpretation of geochemical data from 2,000 soil samples taken from the Acre basin. The latter activities were exonerated from having an environmental license by the Amazon Environmental Protection Institute (IPAAM), by the Environmental and Sustainable Development Office (SDS) of Amazonas state, and by the Acre Environment Institute (IMAC). Up to now, National Agency of Petroleum (ANP) has reached agreements with FUNAI and the Chico Mendes Institute for the Conservation of Biodiversity (ICMBio) to promote surveys in four Conservation Units: the Serra do Divisor National Park and the Extractivist Reserves of the Alto Tarauacá, Alto Juruá and Riozinho da Liberdade, as well as 530 collection points located at least ten kilometers from the borders of five indigenous territories located in Acre and Amazonas. The surveys inside the conservation units did not take place due to the restrictions imposed by the environmental legislation. The survey results across a 31,000 km2 area on the Upper Juruá (Acre and Amazonas states) showed indications of thermogenic hydrocarbon gases. In 2010 terrestrial seismic data collected by an earlier 1998 survey from the Acre basin was reprocessed along 575 km of 2D seismic lines, primarily in the Serra do Divisor region. For the third stage of field research in 2010, the company Georadar Levantamentos Geofísicos S/A was contracted (with a loan approved in 2012 by BNDES) to survey 1,017 km of 2D seismic lines with 40,700 seismograms (seismic reflection records) in the Acre and Solimões sedimentary basins. In February 2012 IBAMA (Brazilian Institute of the Environment and Renewable Natural Resources) granted an Operating License with specific conditions for three years and authorized the removal of plant cover in May of the same year in order to open 285 clearings along the lines. The company set up its base of operations in the city of Cruzeiro do Sul (AC) in 2012 and began to hire and train its workforce, along with recognition of zones and the organization of talks in the communities where the lines are today being opened. Over a period of ten months, the records are being acquired along twelve seismic lines distributed in the basin of the Upper Juruá, in the municipalities of Cruzeiro do Sul, Marechal Thaumaturgo, Porto Walter, Rodrigues Alves and Mâncio Lima, in Acre state, and Ipixuna and Guajará, in Amazonas state (see map). The routes taken by the lines are at least ten kilometers from the borders of the nine indigenous lands and the six conservation units (direct use and full protection). Although the company has held informational events along with ANP and the Acre Government in the cities of Rio Branco and Cruzeiro do Sul (April 2012), the meetings and documents of the indigenous organizations, the social movements and even municipalities reiterated questions concerning the lack of tools for consultation and information on the project and its potential socio-environmental impacts on the region, following the example of what has happened since 2007. (ISA) Lines of seismic investigation in Acre, 2012
Hydrocarbon blocks in Amazonia overlap 13% (273,801 km2) of the total surface area of Indigenous Territories (ITs) (MOG6 and TOG8). Blocks open for bidding account for 50% (136,264 km2) of this overlap, those under tender, 10% (27,218 km2), those under exploration, 32% (88,404 km2) and those under production, 8% (21,914 km2). The most critical situation is found in Perú where overlapping covers 66.3% of IT areas, while in Brasil by contrast there is no recorded instance of such overlapping (GOG3). In terms of the different categories of IT, 11% of the total surface area of officially-recognized ITs are overlapped by hydrocarbon blocks, compared to 9% of the unrecognized ITs. Ecuador is today the country with the largest surface area of ITs overlapped with hydrocarbon blocks under production. 71% of the total area of intangible zones in Ecuador and territorial reserves in Perú, both intended to protect isolated indigenous peoples, overlaps with hydrocarbon blocks. Meanwhile 95% of the area proposed for territorial reserves in the Peruvian Amazonia is covered with hydrocarbon blocks. MOG6. Proportion of oil/gas blocks in ITs in Amazonia
Conclusion Hydrocarbon blocks overlap many ITs and PNAs irrespective of the categories found in each country. Historically the extraction of oil and gas in Amazonia has placed pressure on socio-environmental diversity. The experience of Perú and Ecuador shows the high level of impact that this type of activity can generate. Agreement on socio-environmental protection regulations related to hydrocarbon production is urgently needed in the short-term.
TOG8. Surface area of oil/gas blocks in ITs in Amazonia, by activity phase, administrative area and type of use Area covered by blocks (km2) IT type
Open for bidding
Under tender
Under exploration
Under production
Total
IT surface (km2)
% covered by blocks
Proposed Territorial Reservation
16,022
301
20,303
1,116
37,743
39,762
95%
Territorial Reservation
14,153
0
224
5,508
19,884
28,127
71%
IT officially recognized
98,722
22,275
60,587
1,963
183,547
1,693.431
11%
IT not officially recognized Total
7,368
4,641
7,291
13,327
32,626
368,603
9%
136,264
27,218
88,404
21,914
273,801
2,129.923
13%
In Ecuador, which contains 25,000 of the 40,000 km2 of hydrocarbon blocks under production across Amazonia, both the government and the companies expect, with the new round of bidding for other 20,000 km2, to extend oil production as far as the ITs in the southeast of the country, a region with little surface area protected by the government for conservation purposes or for indigenous peoples. This portends a new era of conflicts between the hydrocarbon industry and indigenous peoples from the Pastaza and Morona provinces.
Spill from the Crude Oil Pipeline (OCP) into the Santa Rosa, Quijos and Coca Rivers, in Ecuadorian Amazonia © Juan Calles/EcoCiencia, 2009
RAISG 28
Amazonia under Pressure – Oil and Gas
Oil and Gas – Amazonia under Pressure
29 RAISG
MMN1
Mining
in Amazonia
Alunorte, the world’s largest aluminum refinery, inaugurated in 1995, consumes energy from the Tucuruí Hydroelectric Plant (UHE). Barcarena, Pará, Brasil. © Paulo Santos, 2006
¾
mining Areas covered with mining concessions cover a total of
S
ince the beginning of European conquest in Amazonia there has been a continuous search for ‘El Dorado,’ promoted by the stories of the enormous mineral wealth contained in the region. For centuries prospecting and mining was concentrated in the extremely rich gold and silver mines of the Andean region. It was only in the 20th century with the discovery of large mineral deposits, like the Serra dos Carajás in Brazilian Amazonia (in 1967), that mining activities began to spread, today covering much of the region, whether in the form of industrial production plants or concessionary blocks, as well as illegal mining. During this period the increase in the prices of precious minerals, the growing demand for other strategic minerals (aluminum, iron, titanium, vanadium and so on), and the need in the region’s countries to generate income through the use of Amazonia’s natural resources, has made mining a major source for economic growth; more recently, national development policies have included mining as one of the fundamental sectors for generating jobs and fighting poverty. Those policies encouraged exploration and prospecting in Amazonia, which has revealed its great mining potential. However this growth in the mining industry has largely ignored the socio-environmental impacts that it produces. As was pointed out in the previous chapter on hydrocarbons, the separation and lack of coordination between different sector-based policies for extractive industries enables the development of mining blocks inside protected areas and Indigenous Territories, as this chapter will show.
1.6 million km2, representing 21% of Amazonia’s surface Most of these areas (50.8%) are still under tender, followed by those under exploration (30.8%) Guiana is the country with the largest proportion of its Amazonian territory covered by mining concessions Areas covered with mining concessions already occupy 15% of the PNAs and 19% of the ITs in Amazonia The sharp rise in the price of gold in recent years has stimulated illegal mining in Amazonia, generating considerable socio-environmental impacts
Context
¸
The Amazonian republics continued the colonial legal and political tradition of attributing the ownership of mineral resources to the State, irrespective of the type of land tenure (private, collective or public). The range of different types of land rights found in Amazonia does not restrict the possibility of undertaking sub-surface mining activities. Hence each government reserves the right to grant concessions to third parties for surveying, extraction and sale of these resources.
Ä
In 2012 Colombia announced a moratorium on mining activities in the Amazonian region. The socio-environmental sector of Colombia’s civil society persuaded the government to use more caution in responding to the huge volume of applications for mining concessions. The government suspended, for ten years, the approval of any mining concessions until an objective selection processes could be established to allocate the 201 mining blocks planned for the region. Meanwhile Brasil is promoting mining exploration on a large scale in Amazonia, while the National Congress is currently discussing a Bill to permit mining surveys and extractive activities in Indigenous Territories. An important case that combines the generation of hydroelectricity with mining activities is now taking place in Brazilian Amazonia, in the region of the Volta Grande (Big Bend) of the Xingu river, where permission from the environmental sector is in the process of being granted for what will be the largest open pit gold mine in the country. The Canadian mining company Belo Sun plans to install its mining operations within 16 km of the Belo Monte hydroelectric plant, which will provide cheap energy for the mine beginning in 2015. The ambitious plans for expanding hydroelectric capacity along the rivers of Brazilian Amazonia likely driving the huge expansion in new mining projects in the region. Despite the legislation in force, illegal mining activities have increased across the region over the last few decades, producing increasingly larger and more uncontrollable impacts, very often placing at risk the health of entire local communities. Contamination of water with heavy metals such as mercury has long-term health impacts on the communities exposed to these waterways, even when they are located at large distances downstream from the mines.
RAISG 30
Amazonia under Pressure – Mining
Cartographic sources for the theme Mining: • BOLIVIA: FAN, 2009 • BRASIL: Instituto Brasileiro de Geografia e Estatística - IBGE, Malha Municipal 1:1.000.000, 2005 • COLOMBIA: Fundación Puerto Rastrojo (Atlas de la Amazonía Colombiana), 2001; IGAC, 2010 • ECUADOR: Ministerio de Transporte y Obras Públicas, 2006 • PERÚ: Ministerio de Transporte y Comunicaciones - MTC, 2008 • SURINAME: Digital Chart of World, 1993 • VENEZUELA: Instituto Geográfico de Venezuela Simón Bolívar, 2003. Ocean and relieve: World Physical Map, U.S. National Park Service, in ArcGIS Online Services.
The world’s largest open-pit iron mine, owned by Vale, in Carajás. Pará, Brasil. © Pedro Martinelli, 1996
Ä In the Madre de Dios region the rate
of deforestation related to small-scale gold mining was 292 ha/year between 2006 and 2009.
¾ In Guyana the deforestation caused
by gold mining tripled between 2001-2002 and 2007-2008.
¸ Mining poses a threat to indigenous territories in Brasil; 79% (407,300 km2) of the total area covered by mining concessions in ITs in Amazonia are located in Brasil. Mining – Amazonia under Pressure
31 RAISG
The Beni river in Bolivia is one of the most critical cases of contamination of water, sediments and fish by mercury and other heavy metals, affecting both indigenous and riverside communities. These mining activities have been growing since the 1970s with a greater emphasis over the last 20 years (Bourgoin, 2001). A similar case is the illegal gold mining in the Madre de Dios river basin in Perú. Here more than 150,000 ha of alluvial soils, well suited to agriculture, have been completely degraded by the largely illegal mining activities (Dourojeanni, 2009). In addition to the damage caused to entire ecosystems, illegal mining also generates other serious collateral effects in areas of indigenous peoples who are uncontacted or only recently contacted, as in the case of the Yanomami in the border region between Venezuela and Brasil (see BMN2: The new gold rush in Amazonia).
Methodology The analysis of information regarding the concessionary blocks for mining established by the government and the mining activities in Amazonia is based on official data compiled in each country. It has been systemized and classified into five categories according to the procedural phase that both concessionary blocks are currently in. These are: Open for Bidding (concessionary blocks offered by the government), Under Tender (concessionary blocks with a pending offer awaiting official approval), Under Exploration (concessionary blocks with a company actively prospecting), Under Production (concessionary blocks with on-going extractive activities) and No Information (concessionary blocks without current information). In Perú and in some of Ecuador’s mining blocks it was impossible to differentiate blocks under exploration from those under production. In these cases the blocks were analyzed as both. The classification of concessionary blocks by phase in the different countries is shown in table TMN1. As information on illegal mining was not obtainable for all the countries, this data was not included in the analyses. Due to differences in the information sources, geographic (topological) corrections had to be made in order for the data to be analyzed and combined. Consequently differences may exist between the results published here and the figures obtained in analyses conducted in the countries. To avoid duplicating areas and over-estimation of surface areas, the analysis excluded overlapping areas between mining blocks that are in the same phase. After excluding these overlaps, only areas over five hectares in size were selected in all the analyses. The data was analyzed by the following units: Amazonia, countries, macro-basins and subbasins, PNAs and ITs.
Amazonia as a whole For 2010 there are a total of 52,974 blocks in Amazonia with mining interests covering a total area of 1,628,850 km2, which corresponds to 21% of the entire region (TMN2). The majority of mining blocks are under tender (50.8%), followed by those under exploration (30.8%) (MMN2 and GMN1).
GMN2. Distribution of mining blocks in Amazonia, by activity phase and country
BMN1. The main companies and the largest mining ventures
The total surface area covered by mining blocks under tender represents 10.7% of Amazonia (827,142 km2), while the areas now under exploration cover 6.5% (502,085 km2).
Among the main mining ventures in Amazonia we can identify the following: the Madre de Dios mining region in Peru on the border with Bolivia; the southeast of Ecuador in the provinces of Morona Santiago and Zamora Chinchipe where the Fruta do Norte and Mirador projects are being carried out; the bauxite mining region operated by Bosai in Guyana; the Carajás project extracting pig iron in a concession run by Vale; the Pitinga mine, where the Taboca mining company extracts mainly tin; and the Juruti project, a concession run by Alcoa for mining bauxite. These last three ventures are located in Brazil.
Amazonia in each country Table TMN3 shows the quantity and surface area of concessionary blocks for mining per country. Guyana is the country with the highest percentage of its Amazonia region covered by mining blocks in all categories (67.5%), followed by Brasil with 27% and Suriname with 18.6%. The country with the lowest proportion of its Amazonia covered by mining blocks in Amazonia is Bolivia at 0.8%. In terms of the number of concessionary blocks, 80.5% of the total number of blocks are located in Brasil and 11% in Perú. The surface covered by the different categories of mining blocks in each country is shown in map MMN3. Although large-scale mining has not begun in Ecuador, in the medium term this will be the main threat following hydrocarbon activities. MMN3. Proportion of mining blocks per country in Amazonia
TMN1. Categories of mining blocks in the countries of Amazonia No information
Open for bidding
Under tender
Under exploration
Under exploration/ production
Under production
Bolivia
X
X
X
X
Brasil
X
X
X
X
Colombia
X
X
Ecuador
X
X
Guyana
X
X
Country*
TMN4. Surface area of mining blocks in macro-basins in Amazonia, by category Surface area of mining blocks (km²) Macro-basin
Under exploration
X
Middle-Lower Amazonas
169,141
X
Guyanas/Amapá
82,002 91,804 55,161
Perú
X
X
X
Tocantins
Suriname
X
X
X
Madeira
Venezuela
X
X
Negro
* There is no data for Guyane Française.
TMN2. Quantity and surface area of mining blocks in Amazonia. by category Category
# Mining blocks
Open for bidding
# by phase (%)
Area (km²)
% Area by phase
Amazon area
2,529
4.8
164,999
10.1
2.1
30,411
57.4
827,142
50.8
10.7
Under exploration
9,828
18.6
502,085
30.8
6.5
Under exploration/production
4,711
8.9
25,383
1.6
0.3
Under production
5,482
10.3
109,202
6.7
1.4
13
0.0
40
0.0
0.0
52,974
100.0
1,628.850
100.0
21.0
Under tender
No information Total
* The Amazonia has 20.3% of its area covered by mining blocks when it eliminates overlapping areas between blocks in different phases of activity.
Under exploration/ production 5,157 6,591
Under production
Open for bidding
No information
Under tender
Total
5,166
57,969
387,618
619,894
72,293
29,762
22,311
212,524
3,594
39,113
56,098
190,609
5,792
16,507
100,248
184,332
33
8,420
1,579
8,379
150,462
168,839
Western Northeast Atlantic
31,903
3,548
5,179
29,979
70,609
Mouth of the Amazonas/ Estuary
26,928
4,401
4,087
19,507
54,924
Paraná
30,164
912
2,531
15,424
49,031
390
1,419
25,842
45,257
Upper Amazonas
3,964
13,635
8
Orinoco
631
10,433
15,558
26,622
Parnaíba
485
38
39
3,520
4,082
1,471
56
13
572
2,111
109,201
164,999
827,138
1,628.844
Middle Amazonas General total
502,084
25,382
40
GMN3. Distribution of mining blocks in Amazonia, by macro-basin
GMN1. Distribution of mining blocks in Amazonia, by activity phase
MMN2. Mining activity phases in Amazonia, by country
According to the analysis of mining block categories by country, most of the surface area of the mining blocks in Guyana and Bolivia is under exploration. In Ecuador and Perú the largest proportion corresponds to blocks under exploration/production. In Colombia and Brasil the largest proportion corresponds to blocks under tender (GMN2).
By basin The macro-basin within Amazonia with the largest total area covered by mining blocks is the Amazonas Middle-Lower macro-basin in Brasil, with a total area of 619,894 km2 with designated mining blocks. This macro-basin is followed by the Guyana/Amapá (212,524 km2), Tocantins (190,609 km2), Madeira (184.332 km2) and Negro macro-basins (168,839 km2) (TMN4 and GMN3). TMN5. The ten sub-basins with the largest surface area covered by mining blocks in Amazonia
TMN3. Quantity and surface area of mining blocks in Amazonia. by country Country Bolivia Brasil
Quantity of mining blocks number of blocks
Surface area of mining blocks Area (km2)
%
% of Amazonia
485
0.9
3,734
0.8
0.0
42,623
80.5
1,349.207
27.0
17.3
Amazonas (Juruá-Paru-Jari) Iriri
Surface area of mining blocks (km²) Under production 493
Under exploration
Under tender
11,032
81,049
Open for bidding 6,717
Total 99,291
449
5,510
61,418
2,126
69,503
33,928
12,014
448
14,503
60,893
23,113
21,851
11,580
59,143
1,563
3.0
50,192
10.4
0.6
Ecuador
791
1.5
4,840
4.2
0.1
Tocantins (B)
2,599
Guyana
743
1.4
145,069
67.5
1.9
Trombetas
1,304
6,154
46,066
4,876
58,400
168
11,906
36,374
1,469
49,917
9,276
36,797
3,780
49,853
5,812
11.0
22,587
2.9
0.3
Sucunduri-Abacaxis-Maués
Suriname
11
0.0
30,419
18.6
0.4
Guyana-Esequibo (Costa)
Venezuela
946
1.8
22,803
5.0
0.3
Guaporé
924
8,259
36,075
2,909
48,167
Teles Pires (S,Manuel)
175
31,805
10,322
4,676
46,978
Araguaia (B)
236
17,367
11,105
10,753
39,460
Perú
Total
52,974
100
1,628.850
* The overlapping areas within the same category were eliminated for not overestimate the total area.
Amazonia under Pressure – Mining
Sub-basin
Cuyuní
Colombia
RAISG 32
Participation in the total
20.9
20.9
In terms of individual phases of concessionary blocks, the largest surface areas covered by blocks in the Open for Bidding and Under Exploration phases are found in the Amazonas (MiddleLower), Tocantins and Guyana/Amapá macro-basins. The largest surface areas covered by blocks in the Under Tender phase are found in the Amazonas (Middle-Lower), Negro and Madeira macro-basins (TMN4). Table TMN5 shows the ten sub-basins with the largest surface area covered by mining blocks in the different phases. The sub-basins with the largest areas covered by blocks in all phases are the Amazonas river (Juruá-Paru-Jari) with 99,291 km2, followed by the Iriri with 69.503 km2, Cuyuní with 60,893 km2, Lower Tocantins with 59,143 km2 and Trombetas with 58,400 km2. Fourteen sub-basins were identified with more than 52% of their surface covered by concessionary mining blocks, as can be observed in map MMN5. In relation to those blocks in the Under Production phase, the Cuyuní sub-basin, covering areas of Guyana and Venezuela, presented the largest area with 33,928 km2 (21,551 km2 and 12,377
Mining – Amazonia under Pressure
33 RAISG
km2 respectively), followed by the Guyana-Essequibo (Costa) with 9,276 km2. The largest areas of the combined Under Exploration/Production phases (Peru and Ecuador) were located in the Madre de Dios (6,591 km2) and Marañón (5,636 km2) sub-basins. The Guyana/Esequibo (Costa) sub-basin had the largest surface area (36,797 km2) covered by blocks in the Under Exploration phase, followed by the Teles Pires with 31.805 km2 (TMN5).
Area covered by blocks (km²) PNA administrative sphere and type of use Departmental - direct use
MMN4. Proportion of mining blocks per macro-basin in Amazonia
BMN2. The new gold rush in the Amazonia
TMN6. Surface area of mining blocks in PNAs in Amazonia, by administrative sphere and type of use
Departmental - indirect use National - direct use
Open for bidding
Under tender
Under production
Total
20,719
517
95,300
33.9
591
35,611
6,380
194
42,776
15.2
7,632
34,955
23,699
3,921
70,222
25.0
2
20
0.0
921
31,036
11.0
743
41,735
14.8
6,298
281,089
100.0
14
18 2,290
20,656
6,469
700
40,992 20,060
196,732
57,284
714
Turning to the different phases of mining activity, those blocks under tender cover 196,732 km2 of the PNAs in Amazonia (70% of the total area of mining blocks in PNAs), followed by those under exploration (57,284 km2, 20%), those open for bidding (20,060 km2, 7%), those under production (6,298 km2, 2%) and finally those in the combined Under Exploration/Production phase (714 km2). Most of the mining blocks within PNAs are found in Brasil, occupying a total area of 234,461 km2 (83% of the total surface area of mining blocks located in PNAs) (GMN5 and MMN6).
Participation (%)
64,518
National - transitory use General total
Under exploration/ production
9,547
National - direct/indirect use National - indirect use
Under exploration
use departmental PNAs (42,776 km2), transitory use national PNAs (41,735 km2), and indirect use national PNAs (31,036 km2). Mining blocks in direct/indirect use national PNAs cover an area of 20 km2.
The largest area of blocks in the Under Production phase is found in national PNAs intended for direct use (3,921 km2) and indirect use (921 km2). The PNAs with the highest pressure from these mining production are: FN Saracá-Taquera (1,290 km2), FN Carajás (1,107 km2) and FN Jamari (939 km2) in Brasil, the Amazonia Second Law Forest Reserve in Colombia (743 km2), the PN Canaima in Venezuela (550 km2), the APA Tapajós (293 km2) and the RBi Maicuru (117 km2) in Brasil.
GMN4. Distribution of mining blocks in PNAs in Amazonia, by administrative sphere and type of use
The PNAs with the largest number of mining blocks in the combined exploration/production phase, are: REc Cofán Bermejo, RfVS El Zarza, RBi El Quimi and PN Yacuri, all in Ecuador. In the Under Exploration phase, Brasil contains the largest areas in all categories of PNAs: 23.554 km2 overlapping direct use national PNAs, followed by direct use departmental PNAs (20,244 km2), indirect use departmental PNAs (6,380 km2) and indirect use national PNAs (5,651 km2). The direct use national PNAs with the largest surface area covered by mining blocks in this phase are: APA Tapajós (6,287 km2), FN Carajás (1,947 km2), FN Crepori (1,706 km2), FN Amaná (1,606 km2), and REx Verde para Sempre (1,574 km2).
Aerial view of illegal gold mining in the Serra do Divisor mountain range, between Brasil and Perú. © Thomas Müller/SPDA, 2010 GMN5. Distribution of mining blocks in PNAs in Amazonia, by country and activity phase
MMN5. Proportion of mining blocks per sub-basin in Amazonia
GMN6. Distribution of mining blocks in ITs in Amazonia, by country and activity phase
Over the last 20 years various PNAs and ITs in Amazonia have been under pressure from the increase in small-scale illegal semimechanized alluvial gold mining. This gold rush was stimulated by the exponential increase in the price of the metal, which has risen 500% over the last ten years. The miners working in the production sites in the forest are sustained by a network of middle-men traders providing basic supplies: food, fuel, machines and air and/or land transportation. The semi-mechanized prospecting system causes river silting, the loss of biodiversity in the aquatic ecosystems, due to the turbidity, soil removal and forest conversion. It contributes to a third of the total world mercury pollution and causes substantial health and environmental impacts. More than an estimated 100 tons of mercury are used each year in illegal gold mining in Amazonia. In Amazonia 37% of the Protected Natural Areas (Parks and Reserves) of seven countries are affected by illegal mining. The situation is particularly acute in Western Amazonia (Madre de Dios, Peru), in the Guianas (Guyana, Suriname and Guyane Française) and in the Yanomami territory (Brazil and Venezuela). In the Madre de Dios region the deforestation rate related to small-scale gold mining is estimated to have increased from 292 ha/year between 2003 and 2006 to 1,915 ha/year between 2006 and 2009. In Guyana, a study by WWF Guyanas (Marín and May, 2012) showed that the deforestation caused by gold mining tripled between 2001-2002 and 2007-2008, destroying 650 km2 of forests. The pollution associated with small-scale gold mining followed a similar growth pattern,
Mining blocks in the Open for Bidding phase overlap PNAs by 20,060 km2. Most of these are in Brasil: REx Verde para Sempre, APA Tapajós, FN Jamanxim and FN Carajás. A total area of 196,732 km2 in concessionary blocks is in the Under Tender phase. Direct use departmental PNAs are overlapped with 64,518 km2, followed by transitory use national PNAs (40,992 km2) and indirect use departmental PNAs (35.611 km2). The PNAs most threatened by blocks under tender are APA Tapajós, FN Amazonas, PN Montanhas do Tumucumaque and EE Jari, all in Brasil, and the Amazonia Forestry Reserve in Colombia. MMN6. Proportion of mining blocks per PNA in Amazonia
affecting 26,000 km of rivers in 2008. The territory traditionally occupied by the Yanomami people in the forest and mountain region of the border between Brazil and Venezuela was the target of a massive invasion of prospectors coming from Boa Vista (Roraima) in the second half of the 1980s which resulted in the death of 15% of the Yanomami population in Brazil and many other serious socio-environmental impacts. This pressure was relieved somewhat after a mega operation to remove miners organized by Brazil’s federal government at the start of the 1990s. In the last five years the Yanomami IT has been systematically invaded by Brazilian prospectors who cross the international border, a situation that demands the coordinated action of the governments in Brazil and Venezuela. There are recent indications of an association between mining interests and drug trafficking. (Beto Ricardo/ISA, in collaboration with Claudio Maretti/WWF)
By Indigenous Territories By Protected Area
Concessionary blocks for mining overlapping Indigenous Territories (ITs) cover a total surface area of 407,320 km2, representing 19% of the total surface area of ITs in Amazonia. The largest proportion is found in recognized ITs (381,857 km2, 94%) with the remainder in traditionally occupied lands without official recognition (25,437 km2, 6%).
The area covered by mining blocks and their distribution are displayed in table TMN6 and graph GMN4. The total combined surface area of mining blocks, in all phases, overlapping Protected Natural Areas (PNAs) is 281,089 km2, which corresponds to 15% of the total surface area of PNAs in Amazonia. In terms of categories of PNAs, the largest area of mining blocks, in all phases, is located in direct use departmental PNAs (95,300 km2), followed by direct use national PNAs (70.222 km2), indirect
RAISG 34
Amazonia under Pressure – Mining
Semi-mechanized gold mining, on the upper Madre de Dios River, Peruvian Amazonia.. © Heinz Plenge, 2008
Of that total area, mining blocks under tender account for 348,993 km2 of the region’s ITs. Those under production account for 24,163 km2, and those under exploration, 16,933 km2. 79% of the total area overlapped by mining concessions is located in Brasil (GMN6 and MMN7).
Mining – Amazonia under Pressure
35 RAISG
MMN7. Proportion of mining blocks by ITs in Amazonia
Ninety-seven percent (97%) of the total area of mining blocks under exploration in ITs are located in officially recognized areas, with the remaining 3% located in traditionally occupied ITs without official recognition. The ITs overlapped by the largest area of mining blocks under exploration are: Rio Paru d’Este, Trombetas/Mapuera, Xipaya and Xikrin do Cateté in Brasil, and Orealla in Guyana. The total area of mining blocks under exploration/production (Perú y Ecuador) registered within ITs is 3,492 km2, 62% of which is located in traditionally occupied ITs without official recognition. The ITs with the highest pressures are in Perú (Naranjos) and Suriname (Kwinti). The mining blocks under production cover 24,162 km2, 91% of which is located in traditionally occupied ITs without official recognition, 50% situated in Suriname and 41% in Venezuela. The ITs with the largest surface areas covered in mining blocks under production are found in Venezuela (10,015 km2) and in Suriname (12,130 km2): Saramacaners, Aukaners, Wayana, Matawai and Aluku.
Eighty-eight per cent (88%) of the mining blocks under tender within ITs are located in Brasil (307,305 km2) and the remaining 12% in Colombia (40,759 km2). Around 99% of these are located inside recognized ITs, the most threatened being: Yanomami, Menkragnoti, Alto Rio Negro, Baú and Tumucumaque.
BMN3. Mining, participation and social mobilization in Ecuador Mining activity is considered a Public Utility and National Priority Interest by the Ecuadorian government and is regulated by the provisions set out in the Mining Mandate Nº 6 of 2008, in the new Political Constitution of the Republic of Ecuador made official also in 2008, as well as in the Mining Law and its Regulatory Framework, approved in 2009 and reformed in 2011. Article 313 of the Constitution identifies non-renewable natural resources, including minerals, as strategic sectors. The cause of the controversy between the different sectors of the country – the central government and the indigenous and ecologist movements – is Article 407, which “prohibits the extraction of non-renewable resources in protected areas and in zones declared as intangible, including logging activities.” However a safeguard is included: “in exceptional cases these resources may be extracted through a substantiated request from the Presidency of the Republic and a prior declaration of national interest from the National Assembly, which, if deemed convenient, may convoke a popular consultation.” The National Assembly approved the Mining Mandate on April 18th 2008, establishing the basic conditions for mining surveys and mineral extraction “by unrestricted compliance with the legal obligations, including those relating to preservation of the environment and respect for the rights of indigenous peoples, Afro-Ecuadorians and communities that are directly or indirectly involved… and by payment of all legally established patents, rights and taxes.” It should be emphasized that in Ecuador there is no clear regulatory framework for social participation and prior consultation. Article 88 of the Mining Law establishes the obligation of concessionaires, from the granting of the concession through all its stages, to provide adequate information to the competent authorities, autonomous decentralized governments, communities and entities that represent social, environmental or labor interests, on the potential impacts – positive or negative – of their mining activity. On the other hand, Article 87 of the Mining Law observes that the State is responsible for implementing the processes of social participation and consultation through the corresponding public institutions, according to the constitutional principles and regulations in force. This responsibility cannot be transferred to any private entity. Although large-scale mining has not yet started in Ecuador, indigenous communities, local populations and social organizations have expressed their concern and indeed rejected the development of the mining activities of the Fruta do Norte project, one of the largest gold discoveries in the world (6.8 million ounces of gold and 9.1 million ounces of silver) in Zamora Chinchipe province, run by the Canadian company Kinross, and the Mirador project, run by the Chinese company Ecuacorriente, which will exploit reserves of more than 10 billion pounds of copper. Despite the opposition of indigenous organizations and ecological groups, an initial agreement was signed with Kinross in December 2011 and with Ecuacorriente in March 2012. On March 8th 2012, the “March for Water, Life and Dignity of the Peoples,” in Pangui, Zamora Chinchipe Province began to demand that the government provide opportunities for participation and dialogue regarding indigenous rights and the nature of mining projects, among other contemporary issues., The March covered a distance of 600 km to reach Quito on March 22nd. The government, for its part, convoked a countermarch and refused to recognize the legitimacy of the social demands of the original march. The demonstrators went to the Assembly to express 19 points of concern including their opposition to large-scale mining. However, aside from the setting up of a commission to discuss the issue, there was no concrete outcome. (Víctor López and Janette Ulloa/EcoCiencia)
The large number of blocks under tender overlapping ITs in Brasil is due to a failure to introduce a specific law to regulate mining on Indigenous Territories, as required by the Federal Constitution. The 1996 Law no. 1610, still under analysis, “provides for the exploration and/or exploitation of mineral resources in Indigenous Territories.” Although the current data from the Mining Register of Brazil’s National Department of Mineral Production was officially reviewed before it was published on the institution’s website, the blocks under tender affecting ITs were not removed from the list. Apparently they were left on the list with the expectation that a new law regarding mining and ITs will give precedence to claims already under tender before the law is passed. The ITs with the largest areas with blocks open for bidding (which only appears in Brasil and Guyana) are located in Brasil, namely the Trincheira/Bacajá, Parakanã and Mundurucu ITs.
Conclusion
Ovens that convert the Amazonian forest into charcoal to supply the steel industry. Marabá, Pará, Brasil. © Sérgio Vignes, 2011
Due to the increase in the price of gold and other selected minerals on the international market, mining has increased substantially over the last 20 years. The governments in all the Amazonian countries have identified specific blocks for mining concessions which are now in one of the different phases mentioned above (Open for Bidding, Under Tender, Under Exploration and Under Production). Guyana and Brasil are the countries with the largest area covered by them. Mining interests, reflected in the existing concessionary blocks, are concentrated on the periphery of Amazonia, negatively affecting the PNAs and ITs significantly. Local populations are increasingly concerned over the presence of mining interests on their lands. The impacts of this activity at local level on water quality, soil nutrients and cultural and biological diversity are potentially very serious. An important next step will be to analyze which are the minerals of most interest in the region (e.g. gold, aluminum and iron) and the current and future geographic patterns involved in activities concerning each of them.
Steel production with intensive use of charcoal. Marabá, Pará, Brasil. © Paulo Santos, 1997
March for Water, Life and Dignity of the people of Quito, Ecuador. © Fundación Pachamama/Quito, 2012
Aerial view of an illegal gold mining dredge in Puerto Maldonado, Madre de Dios, Perú. © Thomas Müller/SPDA, 2010
RAISG 36
Amazonia under Pressure – Mining
Industrial steel production plant. Marabá, Pará, Brasil. © Paulo Santos, 2009 Mining – Amazonia under Pressure
37 RAISG
MHI1
Hidroeletrics Plants in Amazonia
Hydroelectric Plants T
he Amazon basin is seen by governments, companies, investors and consumers as a virtually inexhaustible source of water resources for energy production. This view is based on two facts: 1. the current supply of electrical energy from Amazonia to the region’s countries is significant– up to 75% of the national energy supply in Perú, Bolivia and Ecuador – and 2. a potential contribution of Amazonia to these countries’ electrical energy need is very high. The latter fact is based on the potential for high capacity installations in the Andean-Amazonian mountain rainforest region along with the capacity of the giant Amazon itself where the ‘Brazilian hydroelectric potential,’ estimated at 260,000 MW, accounting for more than 50% of the exploitable capacity of the entire Amazon region (Gamboa & Cueto, 2012). Hence the major challenge posed for Amazonian countries in the near future is the need to reconcile the exploitation of Amazonia’s hydroelectric potential with the integrated management of basins, including the recuperation and conservation of the ecological, social, economic and cultural cycles of a region that values and essentially depends on its rivers.
Context The great hydroelectric potential of the Amazonian rivers provides the possibility of obtaining low-cost electricity without resorting to fossil fuels or nuclear reactors, and at the same time, an opportunity to attain high levels of sustainability in national electricity supplies. In Ecuador the government presents the implementation of the Coca Codo Sinclair hydroelectric project as a possibility to make the country energy independent, while reversing the current purchase of electricity from Colombia and Perú (up to 10% of the supply) in the dry season and perhaps even selling energy to these same countries. Despite the considerable technical problems (the lack of studies for upgrading to 500 KV transmission lines) and financial issues (lack of tenders) identified by critics in relation to this project, the government plans for the hydroelectric plant to enter into operation from 2016 onwards (López, 2011). Likewise the energy agreement between Perú and Brasil for the production and exportation of electricity in Perú’s border zones (the Inambari megaproject and others) is justified by the annual increase in electricity demand. “Based on the expected level of growth over the next decade, under a permanent planning scheme, Brasil will require national and foreign hydroelectric energy sources. Consequently and very consciously, both state planning and that of the state company Eletrobras show a clear interest in building hydroelectric plants within and beyond Brazilian Amazonia …” (Gamboa & Cueto, 2012). In 2009 the Peruvian government authorized Brasil to fund, build and operate six large hydroelectric plants in the rainforest-covered eastern side of the Peruvian Andes, with the clear objective of selling hydroelectric power to supply Brasil’s energy needs (Dourojeanni, 2009). However this decision is now being analyzed by the Peruvian Congress’s Foreign Affairs Commission. Meanwhile Brasil is pushing forward construction of the Belo Monte hydroelectric plant, the third largest in the world, located on the Xingu river, an important tributary of the Amazonas river. This project is one of the dozens of large, medium and small-sized hydroelectric plants planned for the next ten years.
Spillway of the Tucuruí Hydroelectric Plant (UHE), work begun in 1975 on the Tocantins river and completed 30 years later at the cost of approximately US$ 15 billion, ten times more expensive than originally budgeted. Brasil. © Paulo Santos, 2002
There are 171 hydroelectric plants in operation or under construction in Amazonia as a whole, and 246 planned or under study With the construction of the Belo Monte Dam, Brasil will have the largest hydroelectric plant in Amazonia, with a capacity of 11,233 MW The Upper Amazon macro-basin has the highest number of hydroelectric plants in operation or under construction The PNAs are primarily affected by small hydroelectric plants ¸
The cross-border issues relating to hydroelectric plants are not being debated publicly Ä
¾
The socio-environmental impacts of the construction and operation of the hydroelectric dams and reservoirs – such as alterations in the water regime, reduction of hydrobiological diversity, water contamination and accelerated deforestation – are undervalued or simply ignored. Measurements of greenhouse gases (GHGs) in the Balbina reservoir in Brasil and the Petit Saut reservoir in Guyane Française have shown that the hydroelectric plants may also be significant sources of GHGs (Fearnside & Pueyo, 2012).
Ä
Methodology A georeferenced database with the location of current hydroelectric plants and projects for building future plants was compiled and systemized, based on both official and non-official sources. They were grouped into two types: projects with the capacity to generate more than 30 megawatts (MW), called Hydroelectric Units (UHEs), and Small Hydroelectric Plants (PCHs), with the capacity to produce less than 30 MW. In addition, some information was compiled for 17 projected hydroelectric plants with capacities of more than 300 MW in Ecuador and Perú these were not included in the carto-
Cartographic sources for the theme Hydroelectric Plants: • BOLIVIA: FAN, 2009 • BRASIL: Instituto Brasileiro de Geografia e Estatística - IBGE, Malha Municipal 1:1.000.000, 2005 • COLOMBIA: Fundación Puerto Rastrojo (Atlas de la Amazonía Colombiana), 2001; IGAC, 2010 • ECUADOR: Ministerio de Transporte y Obras Públicas, 2006 • PERÚ: Ministerio de Transporte y Comunicaciones - MTC, 2008 • SURINAME: Digital Chart of World, 1993 • VENEZUELA: Instituto Geográfico de Venezuela Simón Bolívar, 2003. Ocean and relieve: World Physical Map, U.S. National Park Service, in ArcGIS Online Services.
Ä Perú and Bolivia account for 75% of the Andean Aerial view of the workers’ shelters for the Belo Monte Hydroelectric Plant (UHE). Altamira, Pará, Brasil.
RAISG 38
© Marizilda Cruppe/EVE/Greenpeace, 2012 Amazonia under Pressure – Hydroelectric Plants
Amazonia, a region where many Amazonian rivers arise; this is an extremely important transition zone in the region’s hydrography.
¾ Covering190,000 km2 and containing
11 indigenous territories, the Juruena River basin has a total of 19 PCHs planned, as well as one gigantic plant functioning.
¸ Soon to begin operations, the Santo Antônio
and Jirau hydroelectric plants on the Madeira River have not been the object of a cross-border socio-environmental assessment. Hydroelectric Plants – Amazonia under Pressure
39 RAISG
graphic analyses since no information on their geographic location was available. The hydroelectric plants may be found in different phases: Operational, Under Construction, Planned and Under Study (THP1). This analyses groups those under construction and operational as ‘Actual’ and those projected and under study as ‘Planned.’
Amazonia as a whole As of 2012, the RAISG database contains information regarding 417 hydroelectric plants (MHP2). 171 are in operation or under construction the great majority of which (120) have a capacity of less than 30 MW (PCHs). The remaining 246 plants have been included in national energy plans, most of which (179) are PCHs, producing less than 30 MW (GHP1). The majority of hydroelectric plants are situated in the southern part of Amazonia, followed by the eastern and western regions. Few hydroelectric projects were recorded in the central and northern regions. If all the planned hydroelectric units were constructed, there would be a 144% increase in the number of units currently in operation or under construction. The increase in the number of PCHs would be 149% and the number of UHEs 131%. This data suggests that much of the future use of the water resources of Amazonia may be committed to generating electricity.
BHP1. From the Andes to Amazonia: water in the mountain forests Andean Amazonia covers a transition area between the Andes and the Eastern Mountain Range (Cordilheira Real Oriental: CRO), defining a series of upland ecosystems, whether montane or high jungle forest (2200 to 600 m above sea level), before expanding across the vast Amazonian plain or low jungle, characterized by areas of flooded forest. Peru and Bolivia account for 75% of the Andean Amazonia where the montane forest is a very important transition zone, though in general little known. The particularity of the CRO is its climate producing high rainfall, amid steep escarpments, permanent cloud cover and forest soils that have been subject to deforestation and changes in use type. However the enormous availability of water resources in these basins is a factor that explains the expansion of the frontiers for hydroelectric generation and for drinking water and irrigation in the Andes. Although the enormous hydroelectric potential of upland Amazonia is little exploited even today, pressure is increasing on these basins from medium and large scale (> 100 MW) hydroelectric generation projects, as well as the channeling of water to cities on the Pacific side, as in the Ecuadorian case where around 30 hydroelectric projects are registered, along with other multi-use projects for channeling drinking water to cities like Quito (supplying up to 80%) and for irrigating flower farms and agroindustrial zones. We can also observe protected areas that from their outset recognized the importance of the water services of the montane forests of the Amazonian side: here it should be noted that the rivers rising in the Andes deposit their sediment-rich waters in the lowland basins of Brazil, crossing international boundaries on the way, as in the case of Ecuador whose Amazonian hydrographic systems are shared with Peru and Colombia. One aspect that should be investigated in depth is the public institutional framework available for the administration and management of water resources in the Amazon basin and in the montane forests in particular, since this area represents a transition zone between the Andes and the Amazonian floodlands, where the water resources are now seen as a factor in local development. Here future projects for hydroelectric generation, potable water and irrigation could provide a system of remunerative payments for the integrated management of the watersheds that regulate the hydrological cycles and deal with the excess of sediments produced by these and other largescale projects. Finally very specific legislation is needed, such as an institutional framework and public policies that take into account local climate patterns, the fragility of terrestrial and aquatic ecosystems, and the human safety aspects in a zone with high vulnerability from heavy rainfall and the alteration in climate systems seen over the last decade. (Víctor López/EcoCiencia)
THP1. Phases of hydroelectric plants per country in Amazonia Country*
Under Study
Planned
Under Construction
Operational
Country
Sub-basin 7,550 Marañon
Brasil
Jirau
3,450 Madeira
Bolivia
Río Madera
3,000 Mamoré
Brasil
Marabá
2,160 Tocantins
Perú
Inambari
2,000 Madre de Dios
Perú
Paquitzapango
2,000 Tambo
Brasil
Teles Pires
1,820 Teles Pires
Bolivia
El Bala
1,600 Beni
Perú
Rentema
1,525 Pastaza
Brasil
Serra Quebrada
1,328 Tocantins
Brasil
Santa Isabel
1,087 Araguaia
Perú
Sumabeni
1,074 Mantaro
Brasil
Araguanã
960 Araguaia
Bolivia
Cachuela Esperanza
900 Beni
Perú
Cuquipampa
800 Mantaro
Perú
Vizcatán
750 Mantaro
Brasil
São Manoel
746 Teles Pires
Brasil
Tupiratins
620 Tocantins
Perú
Tambo-Pto, Prado
620 Tambo
Brasil
Ipueiras
480 Tocantins
Brasil
Sinop
461 Teles Pires
Perú
Chaglla
360 Huallaga
Brasil
Tabajara
350 Ji-Paraná ou Machado
Brasil
Colider
342 Teles Pires
Brasil
Água Limpa
320 Das Mortes
X
X
Brasil
X
X
X
X
Colombia
X
Ecuador
X
X
Twenty-five (37%) of the 67 projected UHEs will have a capacity of more than 300 MW. Half of these will be built in Brasil (13). The largest will be located in the Pongo de Manseriche, situated on the Marañon river (Perú) with a projected capacity of 7,550 MW (THP3).
Guyane Française
X
Perú
X
X
Brasil
Suriname
X
Perú
Venezuela
X
GHP1. Distribution of hydroelectric plants in Amazonia, by type and situation (threat)
Capacity (MW)
Pongo de Manseriche
Bolivia
* Without information for Guyana.
Name
Perú
Twelve hydroelectric plants with a capacity higher than 300 MW were identified (seven in operation and five under construction). The most important hydroelectric plant in operation is the Guri Hydroelectric Plant located in Venezuela with a capacity of 10,325 MW (THP2), while Belo Monte, in Brasil, is the hydroelectric plant under construction has the highest projected capacity (11,233 MW).
MHP2. Hydroelectric plants in Amazonia, by type and activity phase
MHP3. Quantity of hydroelectric plants per country in Amazonia
THP3. Hydroelectric plants with capacity >300 MW projected in Amazonia
THP4. Quantity of hydroelectric plants per country in Amazonia, by type and phase Country
Planned PCH
UHE
176
55
2
9
Bolivia
1
Ecuador Venezuela
Actual
By Basin
Total
PCH
UHE
total
231
87
22
109
340
11
31
2
33
44
3
4
1
9
10
14
10
10
10
6
6
6
Colombia
1
1
1
Guyane Française
1
1
1
Suriname
1
1
1
179
67
246
120
51
171
417
General total
total
The Amazonas (Middle-Lower) macro-basin has the highest number of hydroelectric plants in operation, under construction or planned, followed by the macro-basins of the Paraná, Madeira, Tocantins and Upper Amazonas rivers (MHP4 and THP5). The sub-basins with the largest number of current and planned hydroelectric plants are the Juruena (29), Arinos (22), Do Sangue (19), Teles Pires (19), Guaporé (18) and Ji-Paraná (17) basins, among others. As shown in map MHP5 and table THP6, these plants are situated in the southern part of Amazonia, mainly in Brasil. MHP4. Quantity of hydroelectric plants per macro-basin in Amazonia
THP5. Quantity of hydroelectric plants per macro-basin in Amazonia, by type and phase Macro-basin Middle-Lower Amazonas Upper Amazonas Western Northeast Atlantic
Name
Capacity (MW)
Brasil has the highest number of hydroelectric plants with 340 recorded (81.5% of the regional total), 109 of which are in operation or under construction and another 231 planned. Next is Perú, with 33 hydroelectric plants in operation or under construction and 11 planned, making a total of 44. Bolivia has a total of 14 hydroelectric units (ten in operation and four planned). In the other countries less than ten hydroelectric plants are found with Guyana the only country in which no hydroelectric plant was recorded (MHP3 and THP4).
RAISG 40
Amazonia under Pressure – Hydroelectric Plants
63
16
79
2
13
15
PCH
Total
UHE
total
30
4
34
113
29
12
41
56
5
5
5
6
19
3
3
22
Madeira
28
6
34
24
14
38
72
Negro
1
1
1
Orinoco
6
6
6
Paraná
54
4
58
20
6
26
84
2
2
2
General total
14
20
34
16
6
22
56
179
67
246
120
51
171
417
Sub-basin
Operational
Amazonia in each country
total
13
Tocantins Country
Actual
UHE
Guyanas/Amapá
Parnaíba
THP2. Hydroelectric plants with capacity > 300 MW in operation and under construction in Amazonia
Planned PCH
Venezuela
Guri
10,325
Caroní
Brasil
Tucuruí I e II
8,370
Tocantins
Venezuela
Tocoma
2,260
Caroní
Venezuela
Macagua I
2,190
Caroní
Venezuela
Caruachi
2,160
Brasil
Lajeado (L,E,Magalhães)
902
Brasil
Peixe Angical
452
THP6. The ten sub-basins with the highest number of hydroelectric plants in Amazonia, by type and phase Sub-basin (country)
PCH
UHE
Juruena (Brasil)
17
2
Arinos (Brasil)
21
1
Caroní
Do Sangue (Brasil)
12
Tocantins
Teles Pires (Brasil)
5
Tocantins
Guaporé (Brasil, Bolivia) Ji-Paraná (Brasil)
Under Construction 11,233
Brasil
Belo Monte
Brasil
Santo António
3,150
Madeira
Ecuador
Coca Codo Sinclair
1,500
Napo
Brasil
Estreito
1,087
Tocantins
Ecuador
Sopladora
487
Planned
Xingú
Pastaza
Palma (Brasil) Candeias do Jamari (Brasil) Tambo (Perú)
Actual total
total
Total
PCH
UHE
19
10
10
29
22
22
4
16
3
3
19
6
11
8
8
19
4
4
13
1
14
18
10
1
11
5
1
6
17
2
3
5
10
10
15
13
13
1
1
14
2
2
9
2
11
13
Amapá-Costa (Brasil, Guyane Française)
11
1
12
12
General total
95
20
115
58
5
63
178
Hydroelectric Plants – Amazonia under Pressure
41 RAISG
THP7. Quantity of hydroelectric plants in PNAs in Amazonia, by administrative sphere and type of use
MHP5. Quantity of hydroelectric plants per sub-basin in Amazonia
PNA
Planned
Administrative sphere Departmental National
Type of use
PCH
UHE
General total
Actual total
PCH
total
Direct
12
5
17
Indirect
3
1
4
4
Direct
1
9
10
10
Indirect
4
1
5
2
5
7
12
20
16
36
5
8
13
49
Total
3
UHE 3
6
23
THP8. Quantity of hydroelectric plants in PNAs in Amazonia Protected National Area FE do Amapá (Brasil)
Planned PCH
UHE
9
FN Iquiri (Brasil)
PCH
BHP2. Small hydroelectric plants in the Juruena basin (Mato Grosso, Brazil)
By Protected Areas A total of 171 hydroelectric plants were in operation or under construction within Protected Natural Areas (PNAs) as of 2010. Thirteen (7.6%) of these were wholly or partially located within PNAs (eight UHEs and five PCHs), while 36 future hydroelectric plants (14.6% of the 246 planned as of 2010) will operate inside PNAs (16 UHEs and 20 PCHs) (MHP6 and THP7). Various PNAs face current pressures or are threatened by future constructions of hydroelectric plants. The PNAs currently experiencing the greatest pressures from actual plants are located in Ecuador (3), Brasil (8), Perú (1) and Guyane Française (1), while the PNAs under threat from projected plants are found in Brasil (33), Perú (1) and Bolivia (1) (THP8). MHP6. Quantity of hydroelectric plants per PNA in Amazonia
RAISG 42
Amazonia under Pressure – Hydroelectric Plants
The basin of the Juruena river, which flows into the left bank of the Tapajós, is full of PCHs (Small Hydroelectric Plants) – four in operation, six under construction, six awarded and 11 earmarked: a total of 27 – as well as two UHEs (large-scale hydroelectric plants) also already earmarked. With a surface area of 190,000 km2, the basin includes 11 indigenous territories and a large mixture of environments. Currently there exist across Amazonia 120 PCHs already installed or under construction and 188 planned, concentrated especially in the central part of the western region of Brazil and in the Peruvian Amazonia. The installation of the PCHs has increased exponentially in the Brazilian Amazonia over the last 20 years. Under Brazilian law, PCHs are defined as plants with a capacity to generate between 1 and 30 MW, with a reservoir equal to or less than 3 km2. These criteria were established by the National Electricity Agency (ANEEL) in 1998. The licensing process is simplified and responsibility assigned to the state governments. Systemic analyses of the socio-environmental impacts are not required and authorization is given case by case, without prior evaluation of the accumulative impacts of various PCHs operating in the same region. This is the case of the Juruena basin and the neighboring basins of the Aripuanã, Papagaio and Juína rivers, located in the state of Mato Grosso (MT) where, since 2002, one company alone, Maggi Energia, plans to install nine PCHs and UHEs. This company forms part of the Andre Maggi Group, the largest producer and processor of soya in the Brazilian Amazonia – led by Blairo Maggi, ex-governor of Mato Grosso state (2003-2010) and currently a senator of the Republic. In 2005, several construction firms formed the Juruena Consortium, with the transfer of Maggi’s licenses to two other companies: Juruena Participações and Linear Incorporações, and the works became included in the PAC (Growth Acceleration Program) formulated by the government of President Lula (2003-2010) and continued by President Dilma Rousseff, with loans from BNDES. These PCHs will affect the Indigenous Territories of the Paresi, Nambiquara Menky, Rikbaktsa and Enawenê-nawê. There was no prior, free and informed consultation, as required by the Federal Constitution and Convention 169 of the ILO, of which Brazil is a signatory. The company negotiated some financial compensation directly with these peoples. However the Enawenênawê re-evaluated this agreement, alarmed by the fact that the start of construction work on a PCH upstream on the Juruena had already altered the flow of fish, compromising the performance of Yakwã, perhaps the longest ritual cycle of any indigenous people in contemporary Amazonia. Each year the Enawenê traditionally begin a ritual complex, seven months in duration, which includes the artisanal construction of temporary dams to capture fish. Over the last few years, post-PCH, the once abundant fish have not appeared, compromising the performance of the ritual cycle. Paradoxically in November 2010, the Yakwã ritual was recognized by the National Institute of Historic and Artistic Heritage (IPHAN) of the Ministry of Culture as part of Brazil’s cultural heritage, inserted in the Record of Celebrations. In 2008, the Enawenê-nawê set fire to the construction site for the Telegráfica PCH, located in the town of Sapezal (430 km from Cuiabá, the capital of Mato Grosso). Soon after this episode, the Federal Public Prosecutor’s Office reiterated the request to suspend the construction work until the accumulative impacts of all the region’s PCHs were adequately assessed. The work was in fact paralyzed for a while but the measure was overturned by the STF (Federal Supreme Court) View of the Juruena river where the Enawene Nawe live and where various after a visit from the governor of Small Hydroelectric Plants (PCHs) are under construction. Mato Grosso, Brasil. © Margi Moss/Projeto Brasil das Águas, 2007 Mato Grosso.
Total
10
10
4
4
4 3
3
3
PN Chapada das Mesas (Brasil)
3
3
APA (D) Chapada dos Guimarães (Brasil)
2
2
FN Mulata (Brasil)
1
1
2
2
PE do Jalapão (Brasil)
1
1
2
2
APA do Jalapão (Brasil)
1
1
1
FN Amapá (Brasil)
1
1
1
1
1
1
1
1
1
PE Cristalino II (Brasil)
1
PE Dom Osório Stoffel (Brasil)
1
REx Ituxi (Brasil)
1
3 1
APA (D) Lago de Peixe Angical (Brasil) 1
1
1 1
SH Machupicchu (Perú)
1 1 1
1
1
1
1
1
1
PN Montanhas do Tumucumaque (Brasil)
3
1
APA (D) Lago de São Salvador (Brasil) SN Megantoni (Perú)
1
1
APA (D) Lago de Santa Isabel (Brasil)
1
1
1
RBi Nascentes da Serra do Cachimbo (Brasil)
1
1
1
APA (D) Nascentes do Rio Paraguai (Brasil)
1
1
1
FE Paru (Brasil)
1
1
1
RBiF Pilón Lajas (Bolivia)
1
1
1
RDS Rio Iratapuru (Brasil)
1
1
1
APA Rio Madeira (Brasil)
1
1
1
FE Rio Preto-Jacundá (Brasil)
1
1
1
APA (D) Salto Magessi (Brasil)
1
1
1
PN Sangay (Ecuador)
1
APA (D) Serra do Lajeado (Brasil)
1
RN Trinité (Guyane Française) Total
20
16
36
5
1
1
1
1
1
1
1
8
13
49
THP9. Quantity of hydroelectric plants in ITs in Amazonia, by type of territory Indigenous Territories IT officially recognized
Planned PCH
UHE
7
3
Actual Total
PCH
10
7
3
10
UHE
4
IT not officially recognized Total
4
Total
Total
4
14
2
2
2
2
6
16
THI10. Quantity of hydroelectric plants in ITs in Amazonia Indigenous Territories
Planned PCH
UHE
Actual Total
PCH
Mayni (Perú) PI Aripuanã (Brasil)
UHE
Total
1
1
1
1
1
1
1
1
1
Puerto Ocopa (Perú)
1
1
1
Shuar (Ecuador)
2 1
2
1
1
1
1
1
Erikpatsa (Brasil)
1
1
1
Irantxe (Brasil)
1
1
1
Ponte de Pedra (Brasil)
1
1
1
Utiariti (Brasil)
3
3
1
10
4
Vaupés Parte Oriental (Colombia) Total
1 7
3
2
The hydroelectric plants are concentrated in the south of Amazonia and in a sizeable area of the Andean-Amazonian region (mainly in Perú). The construction of these plants, their current operation and the building of others in the short and medium term, are linked to national development plans regarding the countries’ projected energy matrix. The socio-environmental impacts of these hydroelectric units have not been adequately assessed or addressed. The plants form a key element in cross-border cooperation agendas. Five of the 12 Amazonian macro-basins cross international borders (42% of the total) and 32 of the 154 sub-basins (21%). This situation highlights the need for strategic cross-border socio-environmental assessments at basin level, which was not undertaken, for example, in the construction of the Jirau and Santo Antônio hydroelectric plants in the Madeira macro-basin, shared by Brasil and Bolivia. This may also occur in the construction of the Madeira and Cachuela Esperanza hydroelectric plants in Bolivia, located in the same macro-basin. Likewise the plans for the construction of hydroelectric plants in Perú appear not to take into account of impacts in the lower portions of the rivers in the Brazilian and Bolivian regions of Amazonia.
2
Bacurizinho (Brasil)
1
Conclusion
Total
Potsoteni (Perú)
Pilon Lajas (Bolivia)
Various ITs are under current pressure or are threatened by future constructions of hydroelectric plants. Currently the ITs facing the pressure from actual plants are found in Brasil (2), Perú (1), Ecuador (2) and Colombia (1), while the ITs directly threatened by projected plants are located in Brasil (7), Perú (2) and Bolivia (1) (THP10).
Total
1
PN Cayambe Coca (Ecuador)
Renewable traditional fish trap made by the Enawene Nawe indigenous people, on the Juruena river. Mato Grosso, Brasil. © Vincent Carelli/Vídeo nas Aldeias, 2009
UHE
In relation to ITs, six (3,5%) of the 171 hydroelectric plants in operation in 2012 are wholly or partially situated within ITs (two UHEs and four PCHs), while 10 future hydroelectric plants (4.1% of the 246 planned as of 2010) will operate inside ITs (three UHEs and seven PCHs) (MHP7 and THP9).
MHP7. Quantity of hydroelectric plants per IT in Amazonia
Actual Total
By Indigenous Territories
4
1
1
6
16
Hydroelectric Plants – Amazonia under Pressure
43 RAISG
MFI1
Fires (Hot Spots) in Amazonia
FIRES (HOT SPOTS) Fire forms part of the slash-burn model of agriculture practiced for millennia in Amazonia by indigenous peoples and more recently by other local populations that have settled there. Over the last 50 years fire has been used on a larger scale, very often associated with deforestation, in order to convert extensive areas of Amazonian forest into farm landscapes (MFI1). The use of fire as the “most efficient and cheapest tool” for eliminating forest cover has transformed millions of hectares into new Amazonian ecosystems completely different from their original condition. With climate change generating extreme events in Amazonia, such as the 2005 drought, the conditions have been favorable for large-scale forest fires, such as those reported in Brasil and Bolivia (Marengo et al., 2008). Uncontrolled forest and ground fires may be responsible for a large proportion of greenhouse gas emissions in Amazonia.
Context Fires, increasingly common and more intense in the region, are not limited just to the infamous ‘arc of deforestation’ of Brasil and Bolivia. New fires have been occurring in more remote areas and within Protected Natural Areas (PNAs). Indigenous and traditional communities, including some who inhabit regions far from the colonization frontiers, have denounced problems in controlling fires and illustrate the need to develop procedures for adapting to the climate changes under way. One example of this is the case of the Xingu Indigenous Park (MT, Brasil), an island of forest surrounded by the deforestation produced over the last 20 years by farming activities, where 16 ethnic groups live in more than 50 different communities. In 2009 an experimental process was begun to mobilize twelve communities, belonging to seven ethnic groups, to create new forms of managing and fighting fire (see BFI1: The Xingu Indigenous Park on the fire path). Scientists monitoring and studying the dynamic of deforestation and degradation in Amazonia agree that a number of interrelated factors exists that increases the forest’s vulnerability to fire (Fearnside, 2005). The main factors described include: 1) the advance of farming in Bolivian and Brazilian Amazonia close to areas of cerrado and dry transition forests, which are already naturally more prone to fire propagation (Laurance et al., 2001; Steininger et al., 2001); 2) the degradation of forest areas through selective logging, which increases sunlight and wind penetration, lowering the relative humidity of the forest (Nepstad et al., 2004), which explains the particular vulnerability to fire of illegal logging zones (Veríssimo et al., 1992); 3) the severity and duration of the dry season, worsened by the fires themselves, which curb cloud formation and delay the onset of the rainy season (Laurance et al., 2002); and 4) the fact that trees in Amazonia are not adapted to fire, which means that after the first fire has burnt, the volume of material susceptible to burning and aridity increases, significantly augmenting the intensity of subsequent fires (Cochrane, 2003).
¾ Burning to convert forest into cattle pasture. São Félix do Xingu, Pará, Brasil. © Daniel Beltra/Greenpeace, 2008
Fire, used in traditional agriculture, is no longer restricted to marginal areas; it is advancing deep into Amazonia The highest number of forest fires were recorded during the years 2002, 2004 and 2005 The southeastern portion of Amazonia, known as the Arc of Deforestation (Brasil and Bolivia) is the region with the highest number of recorded forest fires The 10 indigenous territories most heavily affected by fire during the period 2000-2010 are located in Bolivia and Brasil The traditional forms of managing fire used by indigenous peoples will have to adapt to climate change
¸
Ä
The immediate and most evident consequences of the increase in fires are the loss of diversity in wildlife and plant life, air pollution and the consequent impact on human health, the increase in greenhouse gas emissions and the reduction in local rainfall due to the smoke. Recent estimates indicate that the combination of deforestation and climate change may lead to a 50% increase in the occurrence of fires in Amazonia by 2050 (Silvestrini et al., 2011), intensifying forest degradation and impoverishment.
Methodology Georeferenced information on ”hot spots” in Amazonia for the 2000-2010 period was obtained from Brasil’s National Space Research Institute (Instituto Nacional de Pesquisas Espaciais do Brasil: INPE), taking into account: (i) the recorded date of hotspots, and (ii) the type of sensor used. Only data from the NOAA-12 (from 01/01/2000 to 09/08/2007) and NOAA-15 (from 10/08/2007 to 31/12/2010) satellites were used. For these satellites a hotspot appears as a 1 km² area of high temperature, which may represent the occurrence of a single small fire, several small fires or a larger fire. These satellites cannot detect fires that occur on the ground under the tree cover. To facilitate analysis, the data was
RAISG 44
Cartographic sources for the theme Fires (Hot Spots): Instituto Nacional de Pesquisas Espaciais de Brasil (INPE), 2011 (http://www.dpi.inpe.br/proarco/bdqueimadas/). Ocean and relieve: World Physical Map,U.S. National Park Service, in ArcGIS Online Services.
Ä In 2010 the number of forest fires in the Young man from the Waurá indigenous peoples training to put out fires inside the Xingu Indigenous Park. Mato Grosso, Brasil. © Rogério Assis, 2011
Amazonia under Pressure – Fires
Xingu Indigenous Park reached 884, almost four times as high as 2007, the previous record-high year for fires.
¾ Guyane Française was proportionally
the country with the highest number of forest fires in protected areas during the period 2000-2010 (44.7%).
¸ In the arc of deforestation in Brasil,
most of the forest fires are recorded in areas of Cerrado, dry forests or transition zones.
Fires – Amazonia under Pressure
45 RAISG
represented in 10 km2 boxes and separated into two periods: 2000-2005 and 2006–2010. The information was analyzed for the following units: Amazonia, Amazonian countries, macro-basins and subbasins, Protected Natural Areas and Indigenous Territories.
GFI1. Fires recorded annually in Amazonia over the period 2000-2010
MFI3. Quantity of fires per country in Amazonia (2000-2010)
BFI1. Xingu Indigenous Park on the fire path The 16 indigenous peoples who live in the Xingu Indigenous Park (PIX) – one of the best known indigenous territories in the Brazilian Amazonia, spanning across 280,000 km2 – have discovered a growing tendency for fire, which was always used in traditional activities, to go out of control: small fires that previously burnt themselves out now very easily become forest fires, while the burning of vegetation used to clear fields now invades the forest, and so on. In 2010, a very dry year, the number of forest fires inside the PIX reached 884, almost four times higher than in 2007, which was the year with the most forest fires in a decade. Fire fighting brigades already exist in many villages. Forest fires are, at the same time, cause and effect of the profound changes occurring in the Amazon basin (Davidson et al., 2012). Recent estimates indicate that the combination of deforestation and climate change may increase the occurrence of fires in Amazonia by almost 50% by 2050, giving rise to a cycle of degradation and loss of biodiversity (Silvestrini et al., 2011). In the Xingu basin, situated in the transition zone between savannah and forest in the Brazilian Amazonia, fire has increasingly become a threat to socioenvironmental sustainability. Fire, used to clear lands already deforested for agricultural practices or to open new lands for crops, may escape control and affect large tracts of forest. Forest fires, including those occurring deep in the forest, without destroying the forest cover immediately, increase the mortality rate of trees and the opening of the forest canopy, reducing the forest’s humidity, increasing the quantity of dry material within the forest and making it more susceptible to new blazes (Nepstad et al., 2001). Besides affecting the structure and composition of the forest, the fires kill off wildlife, provoke the emission of greenhouse gases, worsening global warming, and produce smoke, which reduces local rainfall and causes respiratory and other health problems among humans (Cochrane 2003). The transition forests found in the region formed by the Xingu’s headwaters are naturally more susceptible to fire compared to other types of forest, given that they are smaller, have less dense plant cover and have lower humidity in the driest months (Ray et al., 2005; Alencar et al., 2006). This vulnerability is exacerbated by the high rates of deforestation affecting the region. Hence these forests are considered one of the ecosystems most threatened within the Amazon basin. In extremely dry years, the surface affected by forest fires may be up to 14 times greater than in normal years (Alencar et al., 2006). With climate change and the increase in the desertification of the forest, these events tend to be more frequent and intense. Fire, used traditionally by indigenous peoples in their subsistence activities (for example, to clear fields, gather honey and to make small campfires during fishing and hunt trips), has become an ever bigger threat. As the forest has become more inflammable, traditional management practices already no longer seem sufficient to control them. This fact shows the need for traditional practices to adapt to the climate changes taking place on the planet. (Adapted from Observing the Xingu basin, ISA 2012)
Amazonia as a whole A total of 1,320,866 fires were recorded for the period 2000-2010. The years with the highest number of fires were 2004, 2005 and 2002, in this order (GFI1). There were more fires during the 2000-2005 period (approximately 685,000) than the 2006-2010 period (approximately 551,000). The largest number of fires occurred in the months of August, September and October, with the highest figures recorded for September 2004 (59,698), August 2005 (51,627) and September 2005 (59,455). These fires were detected in larger proportion in the southeast of Amazonia (MFI2), a zone called the ‘arc of deforestation’ of Brazilian Amazonia (Schor et al., 2008; Vieira et al., 2008) and Bolivian Amazonia. MFI2. Fires in Amazonia in the period 2000-2010 (quantity per 10 km2 squares)
GFI2. Fires recorded monthly in Amazonia over the period 2000-2010
GFI3. Annual quantity of fires recorded in Brazilian Amazonia over the period 2000-2010
Amazonia in each country A total of 1,194,060 (90%) fires occurred in Brazilian Amazonia during the 2000-2010 period. The largest numbers occurred in the years 2004 (166,750), 2005 (161,589) and 2002 (157,299), and the lowest in the years 2009 (39,627) and 2000 (66,175). The months with the largest number of fires were August, September and October. It should be emphasized that there are large areas of savannah and drier transition forests within the limits of Brazilian Amazonia, which is where 25.7% of the detected fires occured (GFI2). Bolivia had the second highest number of recorded fires, a total of 97,033, followed by Venezuela with a total of 19,912. In Perú 4,364 fires were counted, while in Colombia a total of 2,962 were recorded. In Guyana there were 1,619 fires. Finally the countries with fewer than 500 recorded fires were Suriname (490), Guyane Française (369) and Ecuador (57). The annual distribution of fires, except for Brasil, is shown in GFI3. The largest proportion of fires in Bolivia, Brasil, Ecuador, Perú and Venezuela were detected during the 2000-2005 period, while in Colombia, Guyana, Guyane Française and Suriname the highest numbers were in the 2006-2010 period. The intensity of fires per country in the period 2000-2010 is represented in MFI3.
Macro-basin
2000-2005
2006-2010
The sub-basins with the largest number of fires were the Western Northeast Atlantic S, Teles Pires, Lower Araguaia, Arinos and Lower Tocantins. In all cases, the largest proportion of fires was recorded during the period 2000-2005 (TFI2 and MFI5). MFI4. Quantity of fires per macro-basin in Amazonia (2000-2010)
Total
Middle-Lower Amazonas
295,971
130,164
426,135
Tocantins
174,442
116,067
290,509
Madeira
158,919
78,059
236,978
Western Northeast Atlantic
102,024
58,356
160,380
Mouth of the Amazonas/Estuary
47,356
27,186
74,542
Paraná
27,221
16,619
43,840
Upper Amazonas
17,655
7,247
24,902
Orinoco
13,347
5,839
19,186
Negro
12,570
5,478
18,048
Parnaíba
10,325
6,588
16,913
5,570
3,565
9,135
156
33
189
31
22
53
Middle Amazonas São Francisco
Amazonia under Pressure – Fires
The Middle-Lower Amazonas macro-basin presented the highest number of fires, followed by Tocantins and Madeira. This trend was maintained over the eleven year time span, although more intensely during the 2000-2005 period (see TFI1 and MFI4).
TFI1. Fires recorded in the macro-basins of Amazonia over the period 2000-2010
Guyanas/Amapá
RAISG 46
By Basin
Fires – Amazonia under Pressure
47 RAISG
TFI2. Ten sub-basins of Amazonia with the highest number of fires (2000-2010) Sub-basin
2000-2005
By Indigenous Land
TFI5. The ten PNAs of Amazonia with the highest number of fires in the period 2000-2010
2006-2010
Total
Category
PNA
Country
Number of fires
Area (km2)
Western Northeast Atlantic (South)
63,354
37,821
101,175
APA (D)
Triunfo do Xingu
Brasil
10,849
16,833
Teles Pires
65,349
16,652
82,001
APA (D)
Leandro (Ilha do Bananal/Cantão)
Brasil
7,304
15,703
Lower Araguaia
47,085
28,118
75,203
APA (D)
Baixada Ocidental Maranhense
Brasil
7,264
17,963
Arinos
38,622
12,744
51,366
APA (D)
Reentrâncias Maranhenses
Brasil
4,950
26,630
Lower Tocantins
32,926
15,754
48,680
FN
Jamanxim
Brasil
4,065
21,770
Guaporé
26,849
11,546
38,395
PDyANMI (D)
Iténez
Bolivia
3,409
14,308
Middle-Lower Tocantins 2
23,046
13,887
36,933
PN
Araguaia
Brasil
2,924
5,500
Pindaré
22,848
12,512
35,360
FE
Rio Preto-Jacundá
Brasil
2,518
11,668
Middle Xingu
18,655
16,627
35,282
ANMI (D)
Santos Reyes
Bolivia
2,418
9,042
Mamoré
24,681
9,805
34,486
APM
Pampas del Río Yacuma
Bolivia
2,185
5,985
The total number of fires recorded during the years from 2000 to 2010 inside Indigenous Territories (ITs) was 90,307 (7% of the total recorded in Amazonia). The largest proportion of fires was recorded in officially recognized ITs (70,256), followed by areas earmarked for the creation of territorial reserves (11,912), traditionally occupied areas without official recognition (8,121) and finally territorial reserves or intangible zones (18) (GFI5 and TFI6). At the national level Brasil registered 59,137 fires within ITs, representing 5% of the total number of fires recorded in the country and 65.5% of the total recorded in ITs within Amazonia. In Bolivia, for its part, the number of fires within ITs was 21,993, equivalent to 22.7% of the fires in the country and 24.4% of the total in Amazonia. In Venezuela 7,907 fires were registered in ITs, amounting to 39.7% of fires in the country and 8.8% of the total recorded in Amazonia. The highest proportion of fires in ITs at national level was recorded in Perú (45.6%) (TFI7 and MCF7). The ten ITs with the highest number of fires are located in Brasil and Bolivia (TFI8).
2004
2005
2006
2007
2008
7,460
5,931
8,575
7,808
4,468
8,168
5,515
IT not officially recognized
393
1,220
661
1,889
858
749
544
951
507
156
193
8,121
Proposed Territorial Reservation
880
519
1,865
984
2,052
1,597
810
870
1,090
384
861
11,912
2
1
1
1
3
6
2
2
18
4,648
7,082
9,986
8,804
11,486
10,155
5,823
9,992
7,118
2,660 12,553
90,307
Territorial Reservation Total
total
2003
5,343
IT officially recognized
2010
2002
3,373
IT Type
2009
2001
TFI6. Fires recorded in ITs in Amazonia (2000-2010)
GFI4. Annual distribution of fires in Amazonia, by country, except Brasil (2000-2010)
2000
MFI5. Quantity of fires per sub-basin in Amazonia (2000-2010)
2,118 11,497
MFI7. Quantity of fires per IT in Amazonia (2000-2010)
70,256
GFI5. Distribution of fires in ITs in Amazonia, by type of territory (2000-2010)
By Protected Area The total number of fires recorded within PNAs was 101,546 (8% of the total recorded in Amazonia). The largest number of fires (58,591) were recorded in departmental direct use PNAs, followed by national direct use PNAs (18,894), national direct use PNAs (16,262) and departmental indirect use PNAs (7,765) (GFI4 and TFI3).
MFI6. Quantity of fires per PNA in Amazonia (2000-2010)
National - Direct/ Indirect Use
1,626
2,875
2,184
1,376
1,561
1,295
536
Total
1,613
2010
1,293
2009
2007
2008
2006
801
2005
National - Indirect Use
2004
793
2003
National - Direct Use
2002
PNA administrative sphere and type of use
2001
TFI3. Fires recorded in PNAs in Amazonia (2000-2010) 2000
At national level Brasil recorded the highest number of fires within PNAs (83,399), which represents 82.1% of the total recorded in all PNAs. Fires registered inside PNAs in Brasil represent 7% of the total fires recorded in the country. The highest proportions of fires within PNAs compared to the national total were found in Guyane Française (44.7%) and Ecuador (42.1%) (TFI4 and MFI6). The second highest number of fires inside PNAs was recorded in Bolivia with 15,242 fires in total, representing 15.7% of the national total and 15% of the Amazonian total. The ten PNAs with the highest number of fires are located in Brasil and Bolivia (TFI5).
1,110
16,262
Country
1,678
2,027
2,138
2,473
2,431
1,319
1,990
4
1,280 5
608 1
2,149
18,894
1
11
National Transitory Use
12
1
4
3
3
23
Departmental Direct Use
3,414
3,586
7,043
5,311
7,590
8,418
5,595
5,511
5,455
1,931
4,737
58,591
Departmental Indirect Use
410
777
702
736
827
1,152
331
759
552
182
1,337
7,765
5,430
7,334
11,386
9,811
13,769
14,188
8,621
9,825
8,590
3,258
9,334
101,546
Total
TFI7. Fires in ITs in Amazonia. by country (2000-2010) Fires in IT
Total fires
% of total fires
% of total fires in IT
Brasil
59,137
1,194.060
5.0
65.5
Bolivia
21,993
97,033
22.7
24.4
Venezuela
7,907
19,912
39.7
8.8
Colombia
350
2,962
9.9
0.5
Ecuador
26
57
11.8
0.4
Guyana
261
1,619
16.1
0.3
23
369
35.9
0.2
Perú
434
4,364
45.6
0.0
Suriname
176
490
6.2
0.0
90,307
1,320.866
6.8
100.0
Guyane Française
Total
TFI8. The ten ITs in Amazonia with the highest density of fires in the period 2000-2010 Indigenous Territory
TFI4. Fires recorded in PNAs in Amazonia by country (2000-2010) Country
% of total fires
% of total fires in PNA
83,399
1,194.060
7.0
82.1
Bolivia
15,242
97,033
15.7
15.0
Venezuela
2,098
19,912
10.5
2.1
Colombia
278
2,962
9.4
0.3
Perú
186
4,364
4.3
0.2
Guyane Française
165
369
44.7
0.2
Suriname
138
490
28.2
0.1
Ecuador
24
57
42.1
0.0
Total
Amazonia under Pressure – Fires
Total fires
Brasil
Guyana
RAISG 48
Fires in PNA
16
1,619
1.0
0.0
101,546
1,320.866
7.7
100.0
Country
Number of fires
Conclusion The highest concentration of fires coincides with Amazonia’s ‘arc of deforestation,’ a zone distinguished by the rapid advance of farming. There were proportionally fewer fires within the PNAs and ITs, which emphasizes their role as ‘social and natural barriers’ that limit the expansion of fires. The low number of fires inside PNAs and ITs may also be explained in large part by the fact that they are normally located in zones with moderate or low populations. In addition the adequate management of fire is linked to the traditional knowledge and practices still used by indigenous and rural peoples living in these territorial units. On the other hand, the ‘arc of deforestation’ zone coincides with the cerrado biome and drier transition forests that form part of Brazilian Amazonia and where fire is a historical and natural element of the ecology of their landscapes.
Area (km2)
PI Araguaia
Brasil
8,843
13,585
TI Maraiwatsede
Brasil
3,385
1,652
TCO Guarayos
Bolivia
3,189
21,030
TCO Itonoma
Bolivia
2,737
12,635
Pemón
Venezuela
2,382
s,i,
TCO Cayubaba
Bolivia
2,229
7,531
PI Xingu
Brasil
2,188
26,420
TI Inãwébohona
Brasil
2,088
3,771
TCO Cavineño
Bolivia
2,044
5,713
TCO TIPNIS (Isiboro Sécure)
Bolivia
2,030
11,808
Fires – Amazonia under Pressure
49 RAISG
MDE1
Deforestation in Amazonia
DeFORESTATION D
eforestation in Amazonia results from a complex process of land use change, which leads to the replacement of forest by roads, farming, mining activities, areas assigned to the construction of large infrastructural works and urban growth. It negatively affects ecosystem services by generating changes that alter or deteriorate the climate, biodiversity and sources of clean water, and results in soil erosion, depletion of nutrients, damage to regulatory functions in the hydrographic basins and greenhouse gas emissions (carbon and nitrogen cycles, among others) (Fearnside, 2005; Pacheco et al., 2011; Spracklen et al., 2012). From the viewpoint of biodiversity, the number of species affected in Amazonia is unknown (Barreto et al., 2006). In terms of number of organisms, it is estimated that 50 million birds were affected by the loss of 26,000 km2 of Amazon rainforest between 2003 and 2004 (Vieira et al., 2005). The number of primates affected over this same period was estimated at two million individuals (Vieira et al., 2005). In addition deforestation of tropical forests – whose largest expanses are located in South America and Africa – contributes to 20% of the planet’s greenhouse gas emissions, especially CO2 (Denman & Brasseur, 2007). The FAO has published reports on deforestations since 1984. The results of the 2010 assessment indicate that forests are recovering at global level, but higher rates of deforestation persist in tropical regions, such as Amazonia, where the forests have been converted primarily into farmland (Pacheco et al., 2011). Among the main causes of deforestation are the expansion of farming, predatory models of forest logging, mining extraction, oil and gas production and transport, construction of infrastructure (access roads, reservoirs and dams, power transmission lines, oil and gas pipeline), and so on. Although there are many studies on deforestation in Amazonia, especially Brazilian Amazonia (Duchelle, 2009; Almeyda et al., 2010; Pacheco et al., 2011; Rosa et al., 2012), no assessment have yet been made at a macro-regional level, incorporating Andean Amazonia and the Guiana region.
Context The process of deforestation in the nine Amazonian countries began to accelerate from the 1970s onwards. Contingents of rural populations from other more crowded regions were encouraged to colonize and farm Amazonian forestlands. Government programs in Ecuador, Perú and Brasil encouraged deforestation as a prerequisite for being granted ownership of the new lands. This process, more so than others, changed the patterns of territorial occupation of Amazonia. Over the last 30 years more than 70 million hectares of Amazonian tropical forest have been cut down (approximately 9% of Amazonia), principally in Brasil (PNUMA & OTCA, 2009) where deforestation was responsible for more than 70% of all green house gas emissions in the country (Monti, 2010).
Deforestation and fires surrounding the Xingu Indigenous Park. Mato Grosso, Brasil. © Pedro Martinelli/ISA, 2003
In 2000, the area covered by forest in Amazonia
¸
corresponded to 68.8% of the entire region (5.3 million km2) Between 2000 and 2010, the total area covered by forest was reduced by 4.5% (240,000 km2), with the highest levels of deforestation occurring in Brasil, Colombia, Bolivia and Ecuador Between 2005 and 2010, the pace of deforestation was reduced, primarily due to a reduction in forest loss in Brasil Deforestation inside PNAs and ITs is well below the average for the Amazonian region Deforestation increased in the Andean countries, especially in Colombia ¾
Ä
The main impacts of deforestation in Amazonia include: loss of biodiversity, reduction of the water cycle and rainfall, as well as contribution to global warming (Fearnside, 2005). Additionally diverse studies have confirmed its negative effects on human health, the best documented case thus far being the propagation of malaria (Olson et al., 2010). The causes of deforestation vary from country to country. Extensive industrial farming and cattle ranching is the predominant motive for deforestation in Brasil, while the main cause in Bolivia and Colombia is the conversion of forests to small farms. It is estimated that more than 60% of the deforested area is initially used for cattle ranching, later followed, in some countries, by agricultural production. In Perú the main causes of deforestation are mining activities, oil production and the opening up of roads to lay the oil pipelines. In Ecuador oil exploration and colonization are the main drivers of deforestation in Amazonia. The expansion of illegal coca crops is also a significant cause of deforestation in Colombia, Bolivia and Perú (UNODC, 2011). In Guyana, Guyane Française and Suriname the growth in timber exports and monocropping for the production of biofuels are identified as the main drivers of deforestation and forest degradation in the region. In Venezuela, meanwhile, deforestation is related primarily to illegal mining activities and tourism (PNUMA and OTCA, 2009).
Cartographic sources for the theme Deforestation:: • For all countries, except Brasil: RAISG, 2012 • Brasil: Instituto Nacional de Pesquisas Espaciais - INPE, 2011 (http://www.obt.inpe.br/prodesdigital). Ocean and relieve: World Physical Map, U.S. National Park Service, in ArcGIS Online Services.
In the Brazilian case, considered the most critical for Amazonia as a whole, deforestation is clearly related to cattle ranching, mechanized monocrop farming and logging. Although deforestation rates in Amazonia have fallen over the last five years, specialists agree that considerable in-
Ä Though begun in 1960, deforestation in the
Burning forest to extend soy cultivation, on the borders of the Xingu Indigenous Park. Mato Grosso, Brasil. © Pedro Martinelli/ISA, 2003
RAISG 50
Amazonia under Pressure – Deforestation
basin of the Xingu river has increased over the last decade: more than 35000 km2 of native vegetation were lost.
¾ The sub-basins with losses equal to
or over 10% of their forest cover were the Middle-Lower Madeira, Arinos, Juruena and Candeias do Jamari.
¸ The renewed farming and logging
activities in the Colombian Amazonia is putting pressure on the headwaters of the Caquetá and Vaupés Rivers. Deforestation – Amazonia under Pressure
51 RAISG
creases are expected over the next few years as a result of the relaxation evident in recently approved environmental legislation and the increase in the international price of grains, particularly soybeans and maize.
Methodology To evaluate the geographic patterns of the impact of deforestation in Amazonia, two sources of information were used: 1. for Andean Amazonia (Colombia, Ecuador, Perú and Bolivia) and the Guianas (Venezuela, Suriname, Guyana and Guyane Française) the analysis used preliminary data produced by RAISG for the periods 2000-2005 and 2005-2010, obtained using the Spectral Mixture Analysis method and a decision tree algorithm (see BDF1: Analysis of deforestation in the AndeanAmazonian region). 2. for Brazilian Amazonia, the analysis used data on deforestation produced by Prodes (Brazilian Amazon Rainforest Satellite Monitoring Project), published by INPE (National Institute For Space Research) in 2011, which cover the period 2000-2010. For the purposes of comparison, this data was grouped into two periods: 2000-2005 and 2005-2010. In both cases the year 2000 was taken as a baseline (base map). Deforestation was analyzed for the Amazon region as a whole, for Amazonia in each country, by macro-basin and sub-basin, by Protected Natural Areas (PNAs) and by Indigenous Territories (ITs).
Amazonia as a whole The area of forest present in Amazonia in 2000 was equivalent to 68.8% of the entire region (5,357,001 km2) (TDF1). On the 2000 base map (used to assess deforestation in the decade from 2000 to 2010) we can see large tracts of unforested areas which include large areas that were originally not forested, as well as those areas deforested prior to 2000 (MDF2). Over the period 2000-2010, this forest cover was reduced by 4.5% (approximately 240,000 km ), equivalent to almost half the Colombian Amazonia. This deforestation primarily occurred in the southern part of the Brazilian Amazonia, known as the ‘arc of deforestation’ (MDF3). The loss of forest for the area under evaluation was greater during the 2000-2005 period (163,020 km2, 3% of the forest existing in 2000) in comparison with the 2005-2010 period (76,922 km2, 1.4%). This trend matches the findings published by the FAO (2010), which reported a diminution in forest loss over the 2005-2010 period compared to 2000-2005. 2
Cloud cover in the satellite imagery makes it difficult to obtain a more precise panorama of what is happening on the ground. In regional terms cloud cover rose from 2.2 in the first period to 3.6% in the second; however, the particular situation varies among the countries. Ecuador is the most
MDF2. Base map of soil cover in Amazonia, year 2000
BDF1. Analysis of deforestation in the Andean Amazonia region
Illustration of the deforestation assessment process
Information on deforestation in the Andean Amazonia is fragmented, out of date, based on different sources, methodologies and resolutions, both spatial and temporal and not always available. RAISG analyzed deforestation in Amazonia in an integrated manner at the regional level, using an appropriate methodology and spatial/temporal resolutions. The first step was to produce a base map for the year 2000 and then, as a second step, to assess deforestation in two periods: 2000-2005 and 2005-2010. The work of interpretation began in 2010, based on training courses supervised by Imazon, and the adaptation of a single methodology by the RAISG team to all the Andean and Guianese Amazonia countries. The results of this assessment are presented in this publication. These results are preliminary, first of all, because the analysis of the Brazilian Amazonia is still in progress. For this reason, the maps in this Atlas use the results of a deforestation study conducted for Brazil by INPE through Prodes. Secondly, a validation phase, needed for all countries, is currently under way. Even so the information published here provides a good idea of the impact of deforestation on the Amazonian ecosystem. Landsat satellite imagery was employed for the analysis of deforestation. This enabled a study of the entire area with a detailed spatial resolution. It should be emphasized that it is the same satellite used by the INPE study in Brazil. Each Landsat image covers an area of 185 km x 185 km denominated a scene. Figure 1 and Table 1 show the scenes that cover Amazonia. RAISG was unable to obtain good quality images for three scenes covering Guyana during these three dates. The area mapped, denominated the effective area of study, corresponds to the area for which scenes were Number of analized Landsat Images by country found on the three dates – 2000, 2005 and 2010 – to Bolivia 30 which the analyses were applied. Brasil 214 The 2000 base map (baseline) was established Colombia 26 identifying for each scene: forested areas, non-forested Ecuador 8 areas, areas covered by water and areas covered by Guyana 4 clouds. At this point the non-forested areas were not Guyane Française 6 differentiated in terms of whether they were originally Perú 41 non-forested or whether they had been deforested at Suriname 11 some time before the year 2000. For the years 2005 Venezuela 29 and 2010 the deforested areas were identified in relation to the baseline. The effective area analyzed represented 99% of the Amazonian territory where Guyana was the only country with a relatively high proportion unanalyzed (23%) (Figure 1). For the other countries this figure was lower than 2%. The methodology used to identify the forest cover mentioned was based on Spectral Mixture Analysis, combined with a tree decision algorithm, developed initially by Imazon and later adapted by RAISG’s technical team. The design of a precision assessment methodology based on maps derived from teledetection requires the application of protocols that ensure statistical rigor and at the same time an adaptation to the practical realities related to cost limits (Strahler et al., 2006). The validation process involves comparing the information from the generated map with reference information considered to be highly reliable. Generally it is based on samples from verification spots whose classification was obtained either from field observations or more detailed analysis of the images than those used to generate the map. The complete and validated data on deforestation, including a methodological description of the entire process, will be published in 2013, in a special edition for this extremely important topic.
The following figure shows a sequential example of the classification on three different dates of a portion of the Landsat 7-66 scene at a point along the Aguaytía River, an affluent of the Ucayali River, in the Peruvian Department of Ucayali. The first shows the construction of the ‘baseline,’ where the originally non-forested areas, like savannahs, were classified as ‘non-forest’ along with areas already deforested by this date. This baseline was then used to determine the deforestation during the periods 2000-2005 and 2005-2010. Given the limitations in the availability of high quality images with low amounts of cloud cover, the reference year 2000 may have been based on scenes taken within the period between 1998 and 2002, the reference year 2005 on scenes taken between 2003 and 2007, and finally the year 2010 on scenes taken between 2008 and 2011.
MDF3. Deforestation in Amazonia in the periods 2000-2005 and 2005-2010
Landsat images coverage for Amazonia
affected with cloud cover varying between 10 and 13%, followed by Guyana, Guyane Française, Perú and Venezuela. In the case of Brasil, the data shows cloud cover remained constant between 2000 and 2010, corresponding to 5.9% of the area under analysis, though mostly located over areas little affected by deforestation.
Amazonia in each country Aerial view of deforestation associated with the Inter-Oceanic Highway, in Perú. © Rhett A. Butler/mongabay.com, 2011
RAISG 52
Amazonia under Pressure – Deforestation
In 2000 Amazonia was covered by forests across 68.8% of its surface area (TDF1) with Brasil containing 58.1% of these forests. In terms of relative area per country, Guyane Française, Perú, Colombia and Venezuela have the highest forest cover with values that exceed 80% of the total surface area of Amazonia in their countries, while Brasil and Bolivia have the lowest percentages (62.1 and 64.1% respectively). This also results from the fact that the latter countries have a wider variety of non-forest
Deforestation – Amazonia under Pressure
53 RAISG
ecosystems within the Amazonian area, such as the seasonally flooded savannahs of the Llanos de Moxos in Bolivia, and a large extent of savannah (cerrado) across the entire southeast of the Brazilian Amazonia, as well as large enclaves of savannah, such as the ‘Lavrado’ in Roraima state in the north of Brasil (MDF2). The deforestation evaluated in the 2000-2010 period took place mostly in Brasil, which had a 6.2% loss of forest cover, followed by Colombia, Bolivia and Ecuador with rates of 2.8%, 2.5% and 2.4% respectively. The countries with the lowest deforestation levels were Guyane Française and Suriname with less than 1%. The forest loss in Brasil represented 80.4% of the total forest cut down during the period under analysis, followed by Perú with 6.2% and Colombia with 5%. The analyses by five-year period indicate that total forest loss for the 2005-2010 period was generally lower with the exception of Perú, Colombia and Guyane Française (TDF2 and GDF1). In the latter two cases deforestation rose from 1.2 to 1.6% and from 0.3 to 0.4% respectively, while in Perú the rate remained at 1.1% during both periods. During the two five-year periods Brasil was the country with the largest proportion of forest loss, followed during the first half of the decade by Bolivia with 1.4% and Ecuador and Guyana with 1.3% and in the second half by Colombia with 1.6% and Bolivia, Ecuador, Guyana and Perú, the latter countries with a loss of 1.1%. Over the two periods Suriname was the country with the largest relative reduction in forest loss (from 0.7% to 0.1%), followed by Brasil (from 4.5% to 1.7%). MDF4. Proportion of deforestation from 2000 to 2010 in Amazonia, by country
Country
Amazon surface (km²)
Bolivia
% of total
% of forest in 2000 6.2
64.1
5.7
5,006.316
64.3
62.1
58.1
Colombia
483,164
6.2
88.7
8.0
Ecuador
116,284
1.5
76.3
1.7
Guyana
214,969
2.8
65.3
2.6
86,504
1.1
92.4
1.5
Perú
782,820
10.1
89.5
13.1
Suriname
163,820
2.1
79.8
2.4
Venezuela
453,915
5.8
81.6
6.9
7,787.056
100.0
68.8
100.0
Brasil
Guyane Française
Total
TDF2. Deforestation in Amazonia in the periods 2000-20005 and 2005-2010. by country Country
Forest in 2000 (km²)
Bolivia
(%)
Deforestation 2000-2005 (km²)
(%)
Deforestation 2005-2010 (km²)
(%)
4,187
1.4
3,494
1.1
7,682
2.5
3.2
138,804
4.5
54,181
1.7
192,985
6.2
80.4
428,498
88.7
5,170
1.2
6,816
1.6
11,986
2.8
5.0
Ecuador
88,361
76.0
1,171
1.3
965
1.1
2,136
2.4
0.9
Guyana
140,411
65.3
1,800
1.3
1,488
1.1
3,288
2.3
1.4
79,916
92.4
210
0.3
293
0.4
502
0.6
0.2
700,738
89.5
7,365
1.1
7,674
1.1
14,974
2.1
6.2
Suriname
130,719
79.8
938
0.7
191
0.1
1,130
0.9
0.5
Venezuela
370,567
81.6
3,375
0.9
1,820
0.5
5,195
1.4
2.2
5,357.001
68.8
163,020
3.0
76,922
1.4
239,942
4.5
100.0
GDF1. . Distribution of forest loss in Amazonia for the periods 2000-2005 and 2005-2010, by country
RAISG 54
Amazonia under Pressure – Deforestation
(%)
64.1
* Estimated. See BDF1. Analysis of deforestation in the Andean-Amazonian region.
Sub-basins were detected in Colombia, Perú and Bolivia that experienced an increase in deforestation between the periods 2000-2005 and 2005-2010. Rates in the Colombian sub-basins of the Caquetá and the Yari increased from 2.4 to 3.9% and from 0.6 to 2.2% respectively, indicating that deforestation is occurring in new geographic areas in this country. In Perú the Middle Marañon, Urubamba and Lower Ucayali sub-basins also saw an increase in deforestation, but at levels lower
(%)
62.1
Total
For the 2005-2010 period two sub-basins in Brasil (Middle-Lower Madeira 2 and Pacajá) had the highest levels of deforestation (7.2 and 6.6 % respectively) (MDF7).
(km²)
% of total
307,123
Perú
During the 2000-2005 period the sub-basins with losses of forest cover equal to or over 10% were the Middle-Lower Madeira, Arinos, Juruena and Candeias do Jamari (MDF6). Furthermore the 32 most heavily deforested sub-basins (with more than 3.8% forest loss) are found in Brasil. Other subbasins were identified in Perú (Pachitea and Huallaga), Colombia (Caquetá) and Bolivia (Mamoré), which had a deforestation rate of more than 2% of their total forest cover.
Deforestation 2000-2010
3,110.668
Brasil
Guyane Française
The macro-basins most affected by deforestation during the 2000-2010 period were the Mouth of the Amazonas/Estuary and the Western Northeast Atlantic, both in Brasil, which lost 9.7 and 6.2% of their forest cover respectively. In third place was the Middle-Lower Amazonas macro-basin with a loss of 5.2% of its forest cover. These three basins are located in Mato Grosso and Pará, the states with the highest deforestation rates in Brazilian Amazonia over recent years (MDF5).
% of total forest
479,264
Colombia
By Basin
BDF2. The arm of deforestation in the IT and PNA corridor in the Xingu basin
TDF1. Relative distribution of Amazonia and Amazonian forest by country in the year 2000
The Xingu River flows for approximately 2,700 km across the northeast of the states of Mato Grosso and Pará in Brazil, until it reaches the Amazon River. Its basin, covering around 511,000 km2, contains one of the largest continuous mosaics of protected areas in Brazil, forming a corridor of socio-environmental diversity encompassing more than 280,000 km2, composed of 20 Indigenous Territories and 10 Protected Natural Areas. Deforestation in the Xingu basin first appeared in the 1960s, driven by the government colonization projects and private enterprise. As in other regions of Amazonia, deforestation expanded primarily throughout the network of roads that emerged following the construction of the main highways. Examining the last decade, deforestation in the Xingu basin increased in the period from 2000 to 2005, when more than 35,000 km2 of native vegetation were lost. From 2005 onwards there was a reduction in deforestation, following the trend in the Brazilian Amazonia in general, probably due to the combination of economic factors, such as the fluctuation in raw material prices, and the alterations in government command and control actions, with emphasis on the Plan for Prevention and Control of Deforestation in Legal Amazonia (Trancoso et al., 2010; Macedo et al., 2012). The creation and divulgation in 2008 by the Ministry of the Environment of a list of the municipalities with the highest amount of deforestation and the moratorium on soya and meat are also factors contributing to the reduction in deforestation in the region (Macedo et al., 2012). As of the year 2010, more than 105,000 km2 were deforested in the Xingu basin, representing 22% of the basin, according to the monitoring undertaken by INPE (in the forested area) and by ISA (in the cerrado area). Although indigenous territories occupy around 40% of the surface area of the Xingu basin, less than 3% of the total deforestation occurs in them. Likewise the national conservation units occupy approximately 14% of the basin but contain just 1.4% of total deforestation. Most of the deforestation occurs precisely in the headwaters of the Xingu River, causing alterations to the hydrological and biochemical processes across the basin. One of the main areas of occupation in the basin is found in the region of the municipalities of Tucumã and São Félix de Xingu, in the East, where cattle ranching is the predominant economic activity. São Félix has the largest deforested surface area in the basin (16,900 km2) – and is also the city with the largest cattle herd in Brazil – while Tucumã has the highest percentage of deforestation within a single municipality (90.5%). An important route for IT and PNA corridor in the Xingu basin, Brasil spreading new settlement is the BR-163 highway, which crosses the western part of the basin. Plans for its paving in 2004 increased the dispute over land and encouraged deforestation in the region of the municipalities of Novo Progresso and Castelo dos Sonhos. The most recent impact in the basin can be observed in the area around the Baú IT. To the north of the basin, deforestation is produced by the proliferation of secondary roads spreading out from the BR-230 (TransAmazonian Highway). The headwaters of the Xingu are seen as highly favorable to agribusiness due to their soil characteristics, topography and rainfall patterns. In the Mato Grosso portion of the basin, the oldest and predominant form of colonial occupation was cattle ranching and logging in the west. In the south, one finds a mixture of cattle ranching and agriculture. Since the start of the 1990s soya has advanced in parts of the south and east of the basin, replacing areas of pasture and forest, pushing cattle ranching westwards and provoking increased deforestation and increased activity in the land market. (Adapted from Observing the Xingu basin, ISA/2012)
than 1%. The same also occured in Bolivia, on the border with Perú, in the Lower and Middle Beni sub-basins (MDF8). Some sub-basins in the south-southeast of Brasil saw a reduction in deforestation during the second period, possibly the result of government intervention through the Action Plan for the Prevention and Control of Deforestation in Legal Amazonia (PPCDAm), implemented in 2004. MDF5. Proportion of deforestation from 2000 to 2010 in the macro-basins of Amazonia
MDF6. Proportion of deforestation by sub-basins in Amazonia for the period 2000-2005
Deforestation – Amazonia under Pressure
55 RAISG
MDF7. Proportion of deforestation by sub-basins in Amazonia for the period 2005-2010
TDF3. Forest loss in PNAs in Amazonia for the period 2000-2010. by type of use and administrative sphere PNA Type of use/Administrative sphere
2005-2010
2000-2010
(%)
(km²)
(%)
(km²)
(%)
(km²)
(%)
Direct Use
687,569
74.7
8,864
3.0
5,265
0.7
14,130
2.1
Departmental
318,632
64.2
6,005
1.9
3,418
1.1
9,423
3.0
National
368,937
87.1
2,859
0.8
1,847
0.5
4,706
1.3
Indirect Use
735,979
81.8
3,700
0.5
1,781
0.2
5,481
0.7
Departmental
92,503
71.6
404
0.4
88
0.1
492
0.5
643,476
83.5
3,296
0.5
1,692
0.3
4,989
0.8
National
(km²)
2000-2005
Direct/Indirect Use
3,979
93.5
2
0.1
5
0.1
7
0.2
National
3,979
95.5
2
0.1
5
0.1
7
0.2
33,426
98.7
35
0.1
49
0.1
84
0.3
Transitory Use National Total
The trend towards higher levels of deforestation in direct use PNAs was identified in all countries. Brazil maintained high levels of alteration (1.3%), with the direct use departmental PNAs presenting a deforestation rate of 3.3% (TDF4 and GDF3). This is explained in part by the fact that in Brazil the direct use PNAs include Environmental Protection Areas (Áreas de Proteção Ambiental: APA), which have a highly permissive use system, including urban and private areas within their borders. The APAs accounted for 49.5% of all deforestation among this group of PNAs in Brasil.
GDF3. Distribution of forest loss in PNAs in Amazonia for the period 2000-2010, by country and type of use
Deforestation
Forest in 2000
33,426
98.7
35
0.1
49
0.1
84
0.3
1,460.954
78.6
12,602
1.7
7,100
0.5
19,701
2.1
* Estimated. See BDF1. Analysis of deforestation in the Andean-Amazonian region.
The variation in the percentage of loss across the different countries was highly significant, as were the variations within the same country (MDF9 and TDF5). Brasil had the PNAs with the highest percentages of deforestation during the decade, reaching as high as 41.3% in the APA Rio Pardo. This recently created APA (2010) is one of the PNAs in Rondônia state whose category and use type were altered, including the consolidation of the illegal occupation of the National Forest that had already taken place. In the other countries the percentages found in the PNAs were less than 10.7% as. For example, in the North Commewijne/Marowijne Multiple Management area in Suriname, or the PN Alto Fragua-Indiwasi in Colombia, 9.6% of its forest was lost.
TDF5. PNAs most affected by deforestation in Amazonia in the period 2000-2010. by country PNA
GDF2. Distribution of forest loss in PNAs in Amazonia, by type of use and period (2000-2005 and 2005-2010)
Category
Name
Deforestation Type of use
Sphere
Area (km²)
2000-2005 (km²)
2005-2010 (km²)
MDF9. Proportion of deforestation per PNA in Amazonia % Total
Bolivia Integrated Management Natural Area
Amboró
Direct
National
1,302
31
31
4.7
Regional Park
Yacuma
Direct
Departmental
2,356
30
46
3.2
Area of Watersheds Protection
Cumbre Alto Beni
Direct
Departmental
852
14
5
2.1
Environmental Protection Rio Pardo Area
Direct
Departmental
1,436
307
287
41.3
Extractive Reserve
Direct
Departmental
2,102
194
315
24.2
Direct
Departmental
16,833
2,238
1,430
21.8
Brasil
MDF8. Evolution of deforestation by sub-basins in Amazonia in the period 2000-2010
Jaci Paraná
Environmental Protection Triunfo do Xingu Area Colombia
Type of use
Administrative sphere
Bolívia
(%)
Deforestation 2000-2005 (km²)
National
552
28
24
9.6
Indirect
National
2,268
69
100
7.4
Natural National Park
Sierra de la Macarena
Indirect
National
6,123
64
133
3.2
Protection Forest
Cerro Sumaco
Indirect
National
987
30
28
5.9
2005-2010
(%)
(km²)
2000-2010
Protection Forest
Corazon de Oro
Indirect
National
363
9
9
5.0
(%)
(km²)
(%)
Protection Forest
El Bermejo
Indirect
National
109
2
2
3.7
100,434
74.7
299
0.3
339
0.3
638
0.6
Guyana National Park
Shell Beach
Indirect
National
405
20
7
6.7
Departmental
38,608
65.6
90
0.2
130
0.3
220
0.6
National Park
Kanuku Mts.
Indirect
National
3,656
23
5
0.8
Direct Use
National
28,990
81.8
141
0.5
128
0.4
269
0.9
National Park
Extended Kaieteur
Indirect
National
370
0
0
0.2
Direct/Indirect Use
National
282
65.1
0
0.1
0.0
0
0.1
Guyane Française
Indirect Use
National
32,554
82.1
67
0.2
82
0.3
149
0.5
177
0
3
1.9
10,074
0.9
5,086
0.4
15,161
1.3
Forêt des Sables blancs de Mana
National
73.0
Area of Special Ecological Importance
Indirect
858,447
Direct Use
Departmental
280,024
64.0
5,915
2.1
3,288
1.2
9,203
3.3
Forest Biological Reserve Lucifer Dékou-Dékou
Direct
National
1,116
9
6
1.3
Indirect Use
Departmental
92,503
71.6
404
0.4
88
0.1
492
0.5
Natural Reserve
Kaw-Roura
Indirect
National
132
1
1
1.1
Direct Use
National
249,230
85.3
2,356
0.9
1,272
0.5
3,628
1.5
Perú
Indirect Use
National
236,690
74.9
1,400
0.6
437
0.2
1,837
0.8
Choquequirao
Direct
National
138
0
7
5.2
76,319
95.7
409
0.5
455
0.6
864
1.1
Regional Conservation Area
76,319
95.7
409
0.5
455
0.6
864
1.1
Cordillera Escalera
Direct
National
1,513
35
29
4.2
30,424
78.9
138
0.5
131
0.4
268
0.9
Regional Conservation Area
30,424
78.9
138
0.5
131
0.4
268
0.9
Protection Forest
Alto Mayo
Direct
National
1,783
27
35
3.5
9,081
97.3
46
0.5
18
0.2
65
0.7
Suriname
3,696
99.0
2
0.1
5
0.1
7
0.2
Multiple Use Management Area
North Commewijne + Marowijne
Direct
National
486
49
3
10.7
Multiple Use Management Area
North Coronie
Direct
National
304
18
4
7.3
Multiple Use Management Area
North Saramacca
Direct
National
889
52
4
6.3
Natural Monument
Cerro Guanay
Indirect
National
253
4
9
5.3
Natural Monument
Cerro Camani
Indirect
National
103
2
1
3.3
National Park
Delta del Orinoco
Indirect
National
3,073
85
4
2.9
Colombia Indirect Use
National
Ecuador Indirect Use
National
Guyana
The Protected Natural Areas (PNAs) maintained 78.6% of their areas covered by forests in 2000. In ten years (2000-2010) this area was reduced by 2.1%. As would be expected with the PNAs functioning as conservation units, this rate is lower than that found in unprotected lands where deforestation is more than double (5.6%), and lower too than the regional average (4.5%). This reveals the strong pressure exerted on the area of Amazonia not included in PNAs, which has less forest cover (64.8% compared to 78.6%). Within the PNAs we can observe the same reduction between the 2000-2005 and 2005-2010 periods (TDF3 and GDF2). Analyzing the PNA use types, areas for direct use show a loss of forest up to three times as high as those areas for indirect use. This tendency was particularly strong in the departmental PNAs, which saw a forest loss of 3% over the decade 2000-2010.
(km²)
Indirect
Tinigua
Direct Use
Brasil
By Protected Areas
Forest in 2000
Alto Fragua-Indiwasi
Natural National Park Ecuador
TDF4. Forest loss in the PNAs of Amazonia in the period 2000-2010. by country PNA
Natural National Park
Direct/Indirect Use
National
Indirect Use
National
Guyane Française
5,385
96.1
44
0.8
14
0.2
58
1.1
38,396
96.3
52
0.1
67
0.2
118
0.3
Direct Use
National
15,241
96.1
30
0.2
44
0.3
74
0.5
Indirect Use
National
23,155
96.5
22
0.1
22
0.1
44
0.2
Perú
179,498
95.2
331
0.2
669
0.4
1,000
0.6
Direct Use
National
73,843
94.5
210
0.3
386
0.5
596
0.8
Indirect Use
National
72,229
94.5
85
0.1
235
0.3
320
0.4
Transitory Use
National
33,426
98.7
35
0.1
49
0.1
84
0.3
18,794
87.2
143
0.8
23
0.1
166
0.9
Suriname Direct Use
National
1,634
80.5
123
7.5
17
1.0
139
8.5
Indirect Use
National
17,160
87.9
21
0.1
6
0.0
27
0.2
149,561
87.3
1,109
0.7
311
0.2
1,421
0.9
149,561
87.3
1,109
0.7
311
0.2
1,421
0.9
Venezuela Indirect Use
National
Venezuela
* Estimated. See BDF1. Analysis of deforestation in the Andean-Amazonian region.
By Indigenous Territories In 2000, 81.4% of the ITs in Amazonia were covered by forest. The deforestation that took place over the period 2000-2010 removed 0.9% of the forest cover of the ITs. This figure is much lower (five times) than the deforestation verified in the region as a whole (4.5%), less than half the average for PNAs and almost seven times less than the average of areas outside of the ITs (MDF10 and TDF6). Although there was a reduction in deforestation inside ITs – with a rate of 0.5% in the five-year period of 2000-2005 falling to 0.4% in 2005-2010 – the downward trend in these lands was observed to be less than regional level, and less than outside the ITs, where a reduction from 4.3% to 2.0% was seen. At regional level the officially recognized ITs had less deforestation than the unrecognized lands (TDF6 and GDF4), while at national level, where Bolivia and Perú are the only countries in the region that present both types of IT, recognized and unrecognized – differences were observable between these categories. In Bolivia the regional pattern was repeated with recognized ITs losing up to 0.5% of their forest cover and unrecognized ITs 3.3%. In Perú it was observed that unrecognized ITs have lower percentage rates than recognized lands (0.9 and 2.2% respectively) (TDF7). In relation to ITs per country, the highest deforestation rates were detected in Guyana and Bolivia, followed by Ecuador and Perú, while in national terms, without distinguishing between categories of IT, Guyana showed the highest forest loss (3.9%). Forty-one ITs were found with forest losses higher than 20% of their total cover. Most of these (34) have a total area below 100 km2 or are located in Perú (26). The IT most affected was Huascayacu in Perú, where deforestation reached 50.5% of its area (TDF8).
* Estimated. See BDF1. Analysis of deforestation in the Andean-Amazonian region.
RAISG 56
Amazonia under Pressure – Deforestation
Deforestation – Amazonia under Pressure
57 RAISG
MDF10. Proportion of deforestation per IT in Amazonia
TDF6. Forest loss in ITs in Amazonia in the period 2000-2010. by type of IT* IT
Deforestation
Forest in 2000
Type
(km²)
(%)
TDF8. The three ITs (with an area over 100 km²) from each country in Amazonia with the largest amount of deforestation in the period 2000-2010*
2000-2005 (km²)
2005-2010
(%)
(km²)
IT
2000-2010
(%)
(km²)
Name
(%)
391,674
81.2
3,392
0.9
1,960
0.5
5,352
1.4
Bolivia
Proposed Territorial Reservation
38,296
98.8
17
0.0
47
0.1
64
0.2
Guarayos
Territorial Reservation
33,627
97.2
14
0.0
31
0.1
45
0.1
IT not officially recognized
BDF3. Deforestation in the northwest of Colombian Amazonia
Deforestation Type
Area (km²)
2000-2005 (km²)
2005-2010 (km²)
% Total
IT not officially recognized
6,706
390
181
8.5
Tich (Chiman)
IT not officially recognized
1,190
30
34
5.3
IT not officially recognized
303
3
4
2.6
IT officially recognized
1,287.957
80.7
6,189
0.5
4,177
0.3
10,366
0.8
Yaminahua Machineri
Total
1,751.555
81.4
9,612
0.5
6,214
0.4
15,826
0.9
Brasil
Out of IT
3,605.839
64.5
153,636
4.3
70,423
2.0
224,060
6.2
Maraiwatsede
IT officially recognized
1,396
273
106
27.1
Awá
IT officially recognized
1,044
91
94
17.7
Tuwa Apekuokawera
IT officially recognized
106
13
1
13.2
Altamira
IT officially recognized
107
6
5
10.0
Lagos del Dorado. Lagos del Paso y El Remanso
IT officially recognized
494
23
14
7.5
Inga de Aponte
IT officially recognized
130
2
7
6.3
Avila Viejo
IT not officially recognized
109
7
4
9.7
Juan Pío Montufar
IT not officially recognized
167
7
4
6.3
San Francisco
IT not officially recognized
100
3
1
4.0
St. Cuthberth’s
IT officially recognized
200
12
36
23.8
Kanapang
IT officially recognized
184
38
1
20.9
Itabac
IT officially recognized
171
25
1
15.0
Etnia Galibi
IT officially recognized
179
0
2
1.0
Etnia Boni. Émérillons et Wayana
IT officially recognized
2,693
6
1
0.3
Etnia Arawack
IT officially recognized
145
0
0
0.2
Huascayacu
IT officially recognized
108
19
36
50.5
Alto Mayo
IT officially recognized
120
10
29
32.8
Shimpiyacu
IT officially recognized
176
17
25
24.3
* Estimated. See BDF1. Analysis of deforestation in the Andean-Amazonian region.
Colombia
GDF4. Distribution of forest loss in ITs in Amazonia, by type and period (2000-2005 and 2005-2010)
Ecuador
Guyana
Guyane Française
Conclusion Deforestation is a process affecting a large portion of Amazonia. Brasil is undoubtedly the country with the highest level of forest loss. Nonetheless in the period 2005-2010 the country saw a substantial reduction in deforestation, in contrast to other countries, which showed an accelerating trend, as in the case of Colombia. The results presented reinforce the important role that the PNAs and ITs have been performing in slowing down and containing forest loss in each country and in Amazonia as a whole. The differences detected between the lands included in these two types of territorial units and those outside clearly support this role. Hence it is important to develop and implement a deforestation monitoring program that, as well as Brazilian Amazonia, also includes Andean Amazonia and the Guianas. The results presented in this chapter are the first step in this direction.
Perú
TDF7. Forest loss in ITs in Amazonia for the period 2000-2010. by country and type of IT Country
IT Type
Forest in 2000 (km²)
(%)
Deforestation 2000-2005 (km²)
2005-2010
(%)
(km²)
Suriname
2000-2010
(%)
(km²)
(%)
Santigron
IT not officially recognized
1,441
94
6
7.0
IT not officially recognized
26,305
56.7
511
1.9
358
1.3
868
3.3
Aluku
IT not officially recognized
847
4
7
1.3
IT officially recognized
64,439
79.9
78
0.1
227
0.4
305
0.5
Saramacaners
IT not officially recognized
9,199
58
27
0.9
Brasil
IT officially recognized
843,254
76.0
3,245
0.4
1,770
0.2
5,014
0.6
Venezuela
Colombia
IT officially recognized
237,473
94.9
929
0.4
683
0.3
1,612
0.7
Etnia Mapoyo
IT not officially recognized
300
10
1
3.7
50,185
81.7
446
0.9
387
0.8
833
1.7
Etnia E’ñapa
IT not officially recognized
16,880
164
380
3.2
Territorial Reservation
4,960
89.0
4
0.1
3
0.1
7
0.1
Etnia Yabarana
IT not officially recognized
905
19
7
2.9
Guyana
IT officially recognized
21,851
79.3
514
2.4
345
1.5
859
3.9
Guyane Française
IT officially recognized
6,691
96.4
8
0.1
5
0.1
13
0.2
Bolivia
Ecuador
Perú
IT not officially recognized
IT not officially recognized
12,293
94.6
55
0.4
54
0.4
108
0.9
Proposed Territorial Reservation
38,296
98.8
17
0.0
47
0.1
64
0.2
Territorial Reservation
28,667
98.8
10
0.0
27
0.1
37
0.1
IT officially recognized
114,249
93.9
1,415
1.2
1,147
1.0
2,562
2.2
IT not officially recognized
50,485
91.3
215
0.4
81
0.2
296
0.6
Venezuela IT not officially recognized
252,406
82.4
2,166
0.9
1,081
0.4
3,247
1.3
Suriname
* Estimated. See BDF1. Analysis of deforestation in the Andean-Amazonian region.
The upper basins of the Guaviare, Caquetá, Putumayo and Vaupés rivers, located in the western part of the Colombian Amazonia, are today covered mainly by pasture, secondary vegetation of human origin and mosaics of pastures and crops. Only a few fragments of forest remain, linking the uplands with the lowlands. Between 2000 and 2005, 86% of the total deforested area recorded in Colombian Amazonia was located in these basins (Guaviare 36%, Caquetá 32%, Vaupés 10% and Putumayo 8.2%). Between 2005 and 2010, although the percentage of the total deforested area represented by thesefour basins was lower (81%), there was a notable increase in deforestation in the upper Caquetá (40%) and a reduction in the other basins (Guaviare 27%, Putumayo 6%, Vaupés 8.4%). Due to their geographic position, these basins are characterized by a rich and unique landscape that has given them a reputation as one of the areas richest in biodiversity and natural resources in Colombia. The northwestern periphery of the Colombian Amazonia comprises a natural bridge for the flow of species between the highlands, the Andean forests, the dense Amazonian forests and the Orinoco savannahs. Its broad diversity has been heavily depleted over the last few decades since the region’s resources were subjected to the impacts of hydrocarbon and mineral extraction, developed in both legal and illegal fashion and placing the integrity of the region’s present-day ecosystem under enormous threat. Deforestation in this northwestern periphery is linked to socioeconomic, historical and environmental factors that determine how the region has been used. The main causal agents have been the spread of urban areas and highways (Etter et al., 2006; Rincón et al., 2006), the navigability of the large rivers, which serve as channels of communication within the Amazonian forest (Armenteras et al., 2009), demographic growth (Etter et al., 2006), oil exploitation (Martínez & Sánchez, 2007), the expansion of coca cultivation (Dávalos et al., 2011; Armenteras et al., 2009; Etter et al., 2006) and recently mining (Romero & Sarmiento, 2011). These processes have also led to the reduction of the natural forest biomass, contributing to the loss of biodiversity, soil deterioration, alteration of the hydrological cycle, and the low quality of the remaining areas (Romero & Sarmiento, 2011). For thousands of years this region was occupied by diverse indigenous groups and until the end of the 19th century was covered by natural vegetation (Martínez & Sánchez, 2007). Due to its climatic and health conditions, the Amazon region was considered an isolated area, populated solely by small indigenous groups. The first colonial advances from Andean settlers occurred at the start of the 20th century when various settlements were founded in the foothills of the departments of Meta, Caquetá and Putumayo, enticed by the cinchona and rubber trade. Later a second wave of migration occurred in the 1920s at the government´s initiative, beginning with the construction of roads linking the first settlements and motivated by the desire to protect national sovereignty. The third wave of migration began at the end of the 1930s and continued until the end of the 1960s. In 1936 the national government issued the Agrarian Reform Law (Nº 200) that facilitated the purchase of land in these areas, leading to the influx of rural populations originally from the south of the Andean region. In the 1940s the problem of movement into this region was made worse by internal conflict in the country. In 1959, Law 20 was issued with the aim of colonizing 6,920 km2 of forest lands. As a result of this law, three colonization frontiers in the areas around La Mono, Maguaré and Valparaíso in Caquetá Department were established and subsidized by the national government. The fourth phase of migration took place in the 1970s, driven by oil exploration in the foothills of the upper Putumayo (Etter et al., 2008). Subsequently, in the 1980s, illegal crops invaded Colombia, converting the country into the world’s largest producer of cocaine. In the first decade of the 21st century, the drug business generated a loss of approximately 1,100 km2 of primary forest in Colombia (UNODC, 2009). On average over this period, 55% of these crops were concentrated in the lowland and montane forests of the Orinoquia region and Amazonia. Around 27% of this total is located in the Meta and Guaviare Departments, 18% in the Putumayo and Caquetá Departments, and 10.4% in the Vichada, Guainía, Vaupés and Amazonas Departments. From the year 2000 onwards, due to the public policies implemented in Colombia, an unprecedented boom in oil drilling and mining began across the country. The foothills were not exempt from this situation; indeed important areas for oil exploration were located in the upper basin of the Putumayo River. In parallel, over the past decade factors such as the prices of illegal crops, armed conflict, the absence of the state and the oil and mining boom have been fundamental processes in stimulating the high level of deforestation found in this area of the country. (Gaia Amazonas Foundation)
Deforestation in the region surrounding Calamar, east of the Chiribiquete National Natural Park, Guaviare, Colombian Amazonia. © Rodrigo Botero García, 2009
RAISG 58
Amazonia under Pressure – Deforestation
Deforestation – Amazonia under Pressure
59 RAISG
Pressures in PNAs and ITs
CONCLUSION The active pressures and threats currently facing Amazonia, evident in the cartographic language used in this publication, are driving enormous changes there: the forest landscapes, socio-environmental diversity and fresh water sources are being replaced by degraded, savannah zones that are drier and much less diverse.
The PNAs and ITs curbed the pressures to some extent, but new mechanisms are needed to stop or mitigate the threats faced by them. Deforestation in the PNAs is lower than the rest of Amazonia, while in the ITs it is lower than in the PNAs. 80% of the PNAs and 95% of the ITs are affected by some of the analyzed themes. The PNAs most affected are direct use national areas. 1,634 ITs (66%) and 65 PNAs (11%) are affected by oil drilling.
Pressures in hydrographic basins All sub-basins have at least one affectation, 45% of them are affected by five of the analyzed themes, either in the form of pressures or threats The sub-basins of the Upper Amazonas have the highest number of affectations for all themes analyzed
MCC2. Summary: number of themes overlapping PNA
1,998 ITs (81%) and 346 PNAs (57%) area affected by deforestation. 570 ITs (23%) and 239 PNAs (41%) are affected by mining. 29 ANP (5%) and 14 TI (0.6%) are directly affected by hydroelectric plants. Reversing the current conditions of all the river basins, PNAs and ITs is not always possible. However any effort in this direction should be initiated with a more fine-tuned analysis that identifies management measures, integrated with the participation of local and institutional actors.
MCF3. Summary: number of themes overlapping IT
MCC1. Summary: number of themes overlapping sub-basins
The planet’s largest and most complex rainforest – with at least 10,000 years of human activities – is fast becoming a space for the extraction and/ or production of agroindustrial inputs and non-renewable raw materials (commodities with a low value added) for national and international markets. This impairs its potential for sustainable long-term development and destroys its inhabitable spaces. This Atlas has demonstrated that there already is an arc of deforestation that extends from Brasil to Bolivia; areas with great pressure on their aquatic resources, very active exploration and production of oil and gas in the Andean Amazonia and rapidly growing legal and illegal mining activities in the region’s periphery. The analysis of deforestation shows that between 2000 and 2010 around 240,000 km2 of Amazonian forest were cut down. This is equivalent to twice the area of Ecuadorian Amazonia or to the entire surface of the United Kingdom. It is clear that, given the threats identified in a growing number of infrastructure projects for transport (roads or multimodal routes), along with the oil/gas and mining projects, as much as a half of the current Amazonian forest could disappear in the near future. It is urgent to further analyze what is happening in the Amazonia, based on the information generated by RAISG, in order to identify the future situation of issues like: forest carbon capture and storage according to land uses (protected areas, Indigenous Territories and so on); new extractive economic frontiers related to water (hydroelectric plants or redirection of rivers to provide irrigation and drinking water); promotion of regional integration and its implications in terms of infrastructure, energy security and mobilizing populations; strategies for adapting to climate change in order to reduce socioenvironmental vulnerability in mountain rainforest and in the flood plains of Amazonia. There is also a clear need to adopt other themes from a positive agenda linked to governance (of the environment, forests, water or energy), effective measures for integrated management of basins as part of the adaptation to extreme variability and climate change, good practices and sustainable production chains, among others. For this Atlas we were unable to include an analysis of key themes such as illegal mining, logging and farming due to the lack of quality information which can be visualized on maps for Amazonia as a whole. When these factors are included, the overall panorama will likely be even more adverse.
RAISG 60
Amazonia under Pressure
TCC3. Number of PNAs affected by one or more themes of analysis
TCC1. Number of sub-basins affected by one or more themes of analysis Quantity of themes analyzed Macro-basin
1
2
3
4
5
PNA Administrative sphere and type of use
Total
6
Upper Amazonas
3
8
7
3
13
9
43
Middle-Lower Amazonas
3
1
12
12
28
Madeira
1
1
2
2
12
9
27
Negro
1
3
4
7
15
Tocantins
1
9
4
14
Orinoco
3
8
1
12
Guyanas/Amapá
3
3
3
9
Direct Use Direct/Indirect Use Indirect Use Transitory Use Total
TCC5. Number of ITs affected by one or more themes of analysis
Quantity of themes analyzed 0
1
78
2
64
3 54
4 77
5 44
Total
6 7
0
324
0
0
1
0
1
0
0
2
35
80
73
48
14
2
0
252
7
0
2
2
1
0
0
12
120
144
130
127
60
9
0
590
20.3%
24.4%
22.0%
21.5%
10.2%
1.5%
0.0%
TCC4. Number of PNAs affected by theme of analysis
Quantity of themes analyzed
IT types
0
2
3
4
5
Territorial Reservation
0
3
2
1
0
IT officially recognized
105
311
1,222
274
69
24
106
229
75
20
0
1
4
1
0
129
421
1,457
351
5.2%
17.1%
59.2%
14.3%
IT not officially recognized Proposed Territorial Reservation Total
Total
6 0
0
6
9
0
1,990
4
0
458
0
0
6
89
13
0
2,460
3.6%
0.5%
0.0%
TCC6. Number of ITs affected by theme of analysis
Mouth of the Amazonas/Estuary
1
3
4
Western Northeast Atlantic
3
1
4
Roads
137
Roads
Middle Amazonas
1
1
Oil and Gas
65
Oil and Gas
Parnaíba
1
1
Hydroelectric Plants
29
Hydroelectric Plants
14
São Francisco
1
1
Mining
239
Mining
570
Total of sub-basins
5
16
13
14
72
39
159
Fires (Hot Spots)
254
Fires (Hot Spots)
3.1%
10.1%
8.2%
8.8%
45.3%
24.5%
100.0%
Deforestation
346
Deforestation
Themes
1
Number of PNAs affected
Themes
Number of ITs affected 310 1,634
282 1,998
TCC2. Number of sub-basins affected by theme of analysis Themes
Number of sub-basins affected
Roads
127
Oil and Gas
119
Hydroelectric Plants
51
Mining
135
Fires (Hot Spots)
157
Deforestation
137
Amazonia under Pressure
61 RAISG
Information sources ADENEY, J.M.; CHRISTENSEN JR., N.L.; PIMM, S.L. 2009. Reserves protect against deforestation fires in the Amazon. PLoS ONE 4 (4). Disponible en: <http://www.plosone.org/ article/info%3Adoi%2F10.1371%2Fjournal.pone.0005014#>.
DUCHELLE, A.E. 2009. Conservation and livelihood development in Brazil nut-producing communities in a tri-national amazonian frontier. PhD Dissertation. University of Florida, Gainesville, USA.
ALENCAR, A.; NEPSTAD, D.; DIAZ, M. 2006. Forest understory fire in the brazilian Amazon in enso and non-enso years: area burned and committed carbon emissions. Earth Interactions 10: 1-17.
DUCHELLE, A.E. et al. 2010. Conservation in an Amazonian tri-national frontier: patterns and drivers of land cover change in community-managed forests. Disponible en: <http://www.cifor.org/publications/pdf_files/events/montpellier/scientific-session/Presentations/Session%2013/Duchelle_etal_Montpelier.pdf>. (Consultado: 05 april 2012).
ALMEYDA, A.M. et al. 2010. Deforestation drivers in Southwest Amazonía: comparing smallholder farmers in Iñapari, Peru, and Assis Brasil, Brazil. Conservation and Society 8 (3): 157-170. Disponible en: <http://www.conservationandsociety.org/text.asp?2010/8/3/157/73805>. ANDAM, K.S. et al. 2008. Measuring the effectiveness of protected area networks in reducing deforestation. PNAS 105 (42): 16089 –16094. ARA (Articulación Regional Amazónica). 2011. La Amazonía y los Objetivos de Desarrollo del Milenio. Celentano, D.; Vedoveto, M. (eds.). Quito, Ecuador. ARMENTERAS, D.; RODRÍGUEZ, N.; RETANA, J. 2009. Are conservation strategies effective in avoiding the deforestation of the Colombian Guyana Shield? Biological. Conservancy 142 (7): 1411–1419. ÁVILA, F. 2012. NASA: apenas as mudanças climáticas explicam eventos recentes. Florianópolis, Brasil: Instituto CarbonoBrasil. Disponible en: < http://www.institutocarbonobrasil.org.br/noticias2/noticia=731398>.
EBI (Iniciativa de Energía y Biodiversidad). 2003. Integrando la conservación de la biodiversidad en el desarrollo del petróleo y del gas. Washington, USA: Conservation International. (EBI: BP, ChevronTexaco, Conservation International, Fauna & Flora International, IUCN, The Nature Conservancy, Shell, Smithsonian Institution, Statoil). Disponible en: <http://www.conservation.org/global/celb/Documents/ebi_report_spanish.pdf>. EMBRAPA; INPE. 2011. Levantamento de informações de uso e cobertura da terra na Amazônia: sumário executivo. Belém, Brasil: Embrapa; Inpe; Campinas, Brasil: Embrapa. ENCARNACIÓN, F. 1993. El bosque y las formaciones vegetales en la llanura amazónica del Perú. Alma Mater 6: 94-114. ETTER, A. et al. 2006. Regional patterns of agricultural land use and deforestation in Colombia. Agriculture, Ecosystems & Environment 114 (2-4): 369–386.
BANK INFORMATION CENTER. 2010. Proyecto Complejo hidroeléctrico del río Madera. Disponible en: <http://www.bicusa.org/es/Project.10138.aspx>. (Consultado: 25 octubre 2011).
ETTER, A.; McALPINE, C.; POSSINGHAM, H. 2008. Historical patterns and drivers of landscape change in Colombia since 1500: a regionalized spatial approach. Annals of the Association of American Geographers 98 (1): 2 - 23.
BANK INFORMATION CENTER. 2010. UHE Jirau. Disponible en: <http://www.bicusa.org/es/Article.11710.aspx>. (Consultado: 25 octubre 2011).
EVA, H.D.; HUBER, O. (eds). 2005. Una propuesta para la definición de los límites geográficos de la Amazonía (A proposal for defining the geographical boundaries of Amazonía). Luxembourg: European Commission.
BANK INFORMATION CENTER. 2010. UHE Santo Antonio. Disponible en: <http://www.bicusa.org/es/Article.11709.aspx>. (Consultado: 25 octubre 2011). BANK INFORMATION CENTER. 2011. Proyecto Represa Hidroeléctrica Inambari. Disponible en: <http://www.bicusa.org/es/Project.10078.aspx>. (Consultado: 25 octubre 2011).
FAO. 2010. Evaluación de los recursos forestales mundiales (2010): informe principal. Roma, Italia. (Estudio FAO: Montes, 163). FEARNSIDE, P. M. 1995. Hydroelectric dams in the brazilian Amazon as Sources of “greenhouse” gases. Environmental Conservation 22: 7-19.
BARLOW, J.; PERES, C.A. 2008. Fire-mediated dieback and compositional cascade in an Amazonian forest. Philosophical Transactions of the Royal Society 363 (1498): 17871794. Disponible en: <http://rstb.royalsocietypublishing.org/content/363/1498/1787.full.pdf+html>.
FEARNSIDE, P. M. 2002. Greenhouse gas emissions from a hydroelectric reservoir (Brazil’s Tucuruí Dam) and the energy policy implications. Water, Air and Soil Pollution 133 (1-4): 69-96.
BARRETO, P. et al. 2006. Human pressure on the brazilian Amazon forests. Belém, Brasil: Imazon; Washington, USA: World Resource Institute. Disponible en: <http://www. globalforestwatch.org/common/pdf/Human_Pressure_Final_English.pdf>. (Consultado 05 april 2012).
FEARNSIDE, P.M. 2005, Deforestation in brazilian Amazonía: history, rates, and consequences. Conservation Biology 19 (3): 680–688.
BARROW, C. J. 1983. The environment consequences of water resource development it the tropics. En: BEE, doi Jun (ed.). Natural resource in tropical countries. Singapore: Singapore University Press. p. 439-476. BELLO, L. J. (ed.). 2011. El Estado ante la sociedad multiétnica y pluricultural: políticas públicas y derechos de los pueblos indígenas en Venezuela (1999-2010). Copenhague: Iwgia; Caracas, Venezuela: Wataniba.
FEARNSIDE, P.M. 2012. Belo Monte Dam: a spearhead for Brazil’s dam building attack on Amazonía? Canberra, Australia: Global Water Forum. (GWF Discussion Paper, 1210). FEARNSIDE, P.M. 2012. Carbon credit for hydroelectric dams as a source of greenhouse-gas emissions: the example of Brazil’s Teles Pires Dam. Mitigation and Adaptation Strategies for Global Change. Disponible en: <http://rd.springer.com/article/10.1007/s11027-012-9382-6>.
BERMAN, M. 1988. All that is solid melts in to air: the experience of modernity. New York, USA: Penguin Books.
FEARNSIDE, P.M. 2012. Desafios para midiatização da ciência na Amazônia: o exemplo da hidrelétrica de Belo Monte como fonte de gases de efeito estufa. En: Fausto Neto, A. (ed.). A midiatização da ciência: cenários, desafios, possibilidades. Campina Grande, Brasil: Editora da Universidade Estadual da Paraíba. p. 107-23.
BLATE, G.M. 2003. Efectos del manejo forestal en la vulnerabilidad a incendios de un bosque semi-deciduo en Bolivia. Santa Cruz, Bolivia: Proyecto BOLFOR; Chemonics International. (Documento Técnico, 129). Disponible en: <http://ibcperu.org/doc/isis/9256.pdf>.
FEARNSIDE, P.M. 2012.Will Brazil’s Belo Monte Dam get the green light? Latin America Energy Advisor: 1-4. Disponible en: <http://www.thedialogue.org/energyadvisornewsletter>.
BOURGOIN, L.M. 2001. El mercurio en la Amazonía boliviana. La Paz, Bolivia: Ed. Edobol.
FEARNSIDE, P.M.; PUEYO, S. 2012. Greenhouse-gas emissions from tropical dams. Nature Climate Change 2: 382-384.
BOWMAN, M.S. et al. 2012. Persistence of cattle ranching in the brazilian Amazon: a spatial analysis of the rationale for beef production. Land Use Policy 29 (3): 558-568.
FINER, M. et al. 2008. Oil and gas projects in the Western Amazon: threats to wilderness, biodiversity, and indigenous peoples. PLoS ONE 3 (8). Disponible en: <http://www. plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0002932>.
CAMPODÓNICO, H. 2008. Renta petrolera y minera en países seleccionados de América Latina. Santiago, Chile: CEPAL. CAMPOS, Ciro (org.). 2011. Diversidade socioambiental de Roraima: subsídios para debater o futuro sustentável da região. São Paulo, Brasil: Instituto Socioambiental. (Cartô Brasil Socioambiental, 3). CARNEIRO FILHO, A.; SOUZA, O.B. 2009. Atlas de pressões e ameaças às terras indígenas na Amazônia brasileira. São Paulo, Brasil: Instituto Socioambiental. (Cartô Brasil Socioambiental, 1).
FINNER, M.; JENKINS, C.N. 2012. Proliferation of hydroelectric dams in the andean Amazon and implications for Andes-Amazon connectivity. PLoS ONE 7 (4). Disponible en: <http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0035126>. GAMBOA, C.; CUETO, V. 2012. Matriz energética en el Perú y energías renovables. Lima: Fundación Friedrich Ebert; Derecho, Ambiente y Recursos Naturales (DAR). GARZÓN, C. 1984. Water quality in hydrelectric projects: considerations for planning in tropical forest regions. Washington, USA: World Bank. (Technical Paper, 20).
CARRASCO, M. 2009.Tribus no contactadas por la depredación del Amazonas boliviano. Cambio - Revista 7 Días, La Paz, Bolivia, 31 may., p. 12-17. Disponible en: <http:// www.cambio.bo/suplemento-interactivo/2009-05-31/16_suplemento.htm>.
GORZULA, S.; SEÑARIS, J.C. 1998. Contributions to the herpetofauna of the Venezuelan Guayana. Scientia Guianae 8: 1-270.
CARVALHO, G. 2012. Grandes projetos de infraestrutura, conflitos e violação de direitos na Pan-Amazônia. Revista Latinoamericana de Derecho y Políticas Ambientales 2 (2): 213-233.
HERNÁNDEZ, J. 2008. El corredor de transporte bioceanico Santa Cruz – Puerto Suárez en Bolivia y sus impactos socio ambientales. Montevideo, Uruguay: CLAES.
CAVIGLIA-HARRIS, J.L. 2005. Cattle accumulation and land use intensification by households in the brazilian Amazon. Agricultural and Resource Economics Review 34 (2): 145–162. CEADESC (Centro de Estudios Aplicados a los Derechos Económicos, Sociales y Culturales). 2011. Atlas de Megaproyectos de Infraestructura en Bolivia. Oslo: Rainforest Foundation Norway; Cochabamba, Bolivia: CEADESC. CELENTANO, D.; VERÍSSIMO, A. 2007. A Amazônia e os Objetivos do Milênio. Belém, Brasil: Imazon. (O Estado da Amazônia: indicadores, 1). CELENTANO, D.; VERÍSSIMO, A. 2007. O avanço da fronteira na Amazônia: do boom ao colapso. Belém, Brasil: Imazon. (O Estado da Amazônia: indicadores, 2). CHOMITZ, K.M.; GRAY, D.A. 1996. Roads, land use, and deforestation: a spatial model applied to Belize. The World Bank Economic Review 10 (3): 487–512. CIAT; TNC; CBI. 2012. Road impact on habitat loss of IIRSA corridor in Peru: 2004 to 2011. Washington, USA: IDB (Inter-American Development Bank). COCHRANE, M.A. et al. 1999. Positive feedbacks in the fire dynamic of closed canopy tropical forests. Science 284: 1832-1835. COCHRANE, M.A. 2003. Fire science for rainforests. Nature 421 (6926): 913-919. COCHRANE, M.A.; LAURANCE, W.F. 2002. Fire as a large-scale edge effect in amazonian forests. Journal of Tropical Ecology 18 (3): 311-325. COCHRANE, M.A.; LAURANCE, W.F. 2008. Synergisms among fire, land use, and climate change in the Amazon. Ambio: a journal of the human environment 37 (7): 522-527. CONAIE. 2006. Pueblos indígenas en el aislamiento voluntario en la Amazonía ecuatoriana: documento base. Quito, Ecuador. Disponible en: <http://www.sosyasuni.org/ en/files/conaie_taromenani2.pdf>. CONSEJO NACIONAL DE ELECTRICIDAD. 2009. Proyectos hidroeléctricos disponibles para su desarrollo, potencia instalable entre 100 y 1140 MW. Quito, Ecuador: Conelec. Disponible en: <http://www.conelec.gob.ec/contenido.php?cd=1348&l=1>. (Consultado: 26 octubre 2011). CORREA-VIANA, M.; ESCLASANS, D. 2011. Impactos de la industria petrolera. En: KLEIN, E.; CÁRDENAS, J.J. (eds.). Identificación de prioridades de conservación asociadas a los ecosistemas de la fachada atlántica venezolana y a su biodiversidad. Caracas, Venezuela: Universidad Simón Bolívar; The Nature Conservancy. p. 69-71. COSIPLAN (Consejo Suramericano de Infraestructura y Planeamiento). 2011. Cartera de Proyectos IIRSA. Disponible en: <http://www.iirsa.org/BancoMedios/Documentos%20PDF/lb11_completo_baja.pdf>.
GUERRERO, S. 2011. Informe sectorial: Ecuador - sector energético. PacificCredit Rating. Disponible en: <http://www.ratingspcr.com>. (Consultado: 26 octubre 2011). HUBER, O. 1995. Vegetation. En: BERRY, P.E.; HOLST, B.K.; YATSKIEVYCH, K. (Eds.). Flora of the Venezuelan Guayana: introduction. v. 1. Portland, USA: Missouri Botanical Garden. p. 97-160. HUMMEL, A.C. et al. 2010. A atividade madeireira na Amazônia brasileira: produção, receita e mercados. Belém, Brasil: Imazon; Brasília, Brasil: Serviço Florestal Brasileiro - SFB. IDÁRRAGA, A.; MUÑOZ, D.A.; VÉLEZ, H. 2010. Conflictos socio-ambientales por la extracción minera en Colombia: casos de la inversión británica. Bogotá, Colombia: Censat Agua Viva; Amigos de la Tierra Colombia. INIAP-El Surco. 2011. Caracterización de los sistemas de producción agropecuaria de la región amazónica ecuatoriana, RAE. Presentación de resultados preliminares. Instituto Nacional Autónomo de Investigaciones Agropecuarias. Coca- Estación San Carlos (15 abr. 2011). INSTITUTO OBSERVATÓRIO SOCIAL. 2011. O aço da devastação: crimes ambientais e trabalhistas na cadeia produtiva da indústria siderúrgica instalada na Amazônia. São Paulo, Brasil. (Revista Observatório Social, ed. esp.). JUNK, W.J.; MELLO, J.A. 1990. Impactos ecológicos das represas hidroelétricas na Bacia Amazônica brasileira. Estudos Avançados 4 (8): 123-146. KILLEEN, T. et al. 2007. Dry spots and wet spots in the Andean hotspot. Journal of Biogeography 34: 1357-1373. KRIEGE, R.; CHEDI-TOELSIE, S. 2006. A case study of progressive cavity pump gauges and installation in staatsolie, Suriname. Disponible en: <http://www.grcamerada. com/documents/Case%20Study%20-%20PCP%20gauge%20installation%20at%20Staatsolie%20in%20Suriname.pdf>. KISSINGER, G. 2011. Linking forests and food production in the REDD+ context. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security. (CCAFS Working Paper, 1). LAURANCE, W.F. et al. 2001. The future of the brazilian Amazon. Science 291: 438-439. Disponible en: <http://www.aseanenvironment.info/Abstract/41014098.pdf>. LAURANCE, W.F. et al. 2002. Ecosystem decay of amazonian forest fragments: a 22-year investigation. Conservation Biology 16 (3): 605-618. LEWIS, S.L. et al. 2011. The 2010 Amazon drought. Science 4 (331): 554. LÓPEZ, V. 2009. Implicaciones del proyecto Coca Codo Sinclair para la Amazonía ecuatoriana. Quito, Ecuador: EcoCiencia.
DÁVALOS L.M. et al. 2011. Forests and drugs: coca-driven deforestation in tropical biodiversity hotspots. Environmental Science & Technology 45(4): 1219-1227.
LÓPEZ, V. 2011. El proyecto hidroeléctrico Coca Codo Sinclair y la gobernanza energética en la Amazonía ecuatoriana. Letras Verdes - Energía y Ambiente 8: 1-3. Disponible en: <http://flacsoandes.org/dspace/bitstream/10469/2728/42/RFLACSO-L8.pdf>.
DAVIDSON, E.A. et al. 2012. The Amazon basin in transition. Nature 481 (7381): 321-328.
MACEDO, M.N. et al. 2012. Decoupling of deforestation and soy production in the southern Amazon during the late 2000s. PNAS 109: 1341-1346.
DENMAN, K.; BRASSEUR, G. 2007. Couplings between changes in the climate system and biogeochemistry. En: Climate Change 2007: the physical science basis. Cambridge, United Kingdom: Cambridge University Press.
MADS (Ministerio de Ambiente y Desarrollo Sostenible). 2012. Manual para las asignaciones de compensaciones por pérdida de biodiversidad. Bogotá, Colombia.
DIJCK, P. 2009. The IIRSA Guyana Shield Hub: the case of Suriname. Disponible en: <http://www.cedla.uva.nl/20_research/pdf/vDijck/suriname_project/IIRSA.pdf>.
MAESO, V.; REYERO, P.; VARGAS, M. (coord.). 2010. El Complejo del Río Madera: un caso de anticooperación española. Barcelona: ODG. Disponible en: <http://www.odg.cat/ documents/publicacions/InformeODG_Madera_Web_CAST.pdf>. (Consultado: 25 octubre 2011).
DOUROJEANNI, M. 2009. Hidroeléctricas en la Amazonía peruana. La Revista Agraria 109: 4-6.
MARENGO, J. et al. 2008. The drought of Amazonía in 2005. Journal of Climate 21 (3): 495–516.
DOUROJEANNI, M.; BARANDIARÁN, A.; DOUROJEANNI, D. 2009. Amazonía peruana en 2021. Explotación de recursos naturales e infraestructura: ¿Qué está pasando? ¿Qué es lo que significa para el futuro? Lima, Peru: ProNaturaleza. Disponible en: < http://www.iiap.org.pe/Upload/Publicacion/PUBL908.pdf>.
MARGOLIS, M. 2011. The new gold rush: soaring gold prices are causing a new mining boom that’s threatening the Amazon rainforest. The DailyBeast. Disponible en: <http:// www.thedailybeast.com/articles/2011/08/19/gold-prices-cause-mining-boom-that-threatens.print.html>.
Amazonia under Pressure
63 RAISG
MARÍN, S.; MAY, E. 2012. Gold mining in the Amazon: key issues and engangement strategy, 3ª versión no publicada de borrador. Paramaribo, Suriname: WWF Guianas/ Living Amazon Initiative.
SPRACKLEN, D.V.; ARNOLD, S.R.; TAYLOR, C.M. 2012. Observations of increased tropical rainfall preceded by air passage over forests. Nature 489: 282-285. Disponible en: <http://www.nature.com/nature/journal/v489/n7415/abs/nature11390.html>.
MARTÍNEZ, G.; SÁNCHEZ, E. 2007. Contexto físico natural del sur de la Amazonía. En: RUIZ, S.L. et al (eds.). Diversidad biológica y cultural del sur de la Amazonía colombiana: diagnóstico. Bogotá, Colombia: Corpoamazonia; Instituto Humboldt; Instituto Sinchi; UAESPNN.
STEININGER, M.K. et al. 2001. Clearance and fragmentation of tropical deciduous forest in the Tierras Bajas, Santa Cruz, Bolivia. Conservation Biology 15: 856-866.
MATSUMURA-TUNDISI, T. et al. 1991. Limnology of Samuel Reservoir (Brazil, Rondonia) in the filling phase. Verhandlungen des Internationalen Verein Limnologie 24: p.1428-1487. MELO, M.; BELTRÁN, B.; ORTIZ, P. 2007. Quién decide en la Amazonía ecuatoriana? La superposición de intereses en los territorios ancestrales del Centro Sur de la Amazonía ecuatoriana. Quito, Ecuador: Fundación Pachamama.
STRAHLER, A. et al. 2006. Global land cover validation: recommendations for evaluation and accuracy assessment of global land cover maps. Luxemburg: European Communities. (GOFC-GOLD Report, 25). Disponible en: <http://nofc.cfs.nrcan.gc.ca/gofc-gold/Report%20Series/GOLD_25.pdf>. SWENSON, J.J. et al. 2011. Gold mining in the peruvian Amazon: global prices, deforestation, and mercury imports. PLoS ONE 6 (4). Disponible en: <http://www.plosone.org/article/ info%3Adoi%2F10.1371%2Fjournal.pone.0018875>. TRANCOSO, R. et al. 2010 Deforestation and conservation in major watersheds of the brazilian Amazon. Environmental Conservation 36: 277-288.
MME. EPE (Ministério de Minas e Energia. Empresa de Pesquisa Energética). 2010. Plano Decenal de Expansão de Energia 2019. Brasília, Brasil. Disponible en: <http://www. mme.gov.br/mme/galerias/arquivos/noticias/2010/PDE2019_03Maio2010.pdf>.
TUNDISI, J. G. 1999. Limnologia no século XXI: perspectivas e desafios. Conferência de abertura do 7º Congresso Brasileiro de Limnologia. São Carlos, Brasil: Instituto Internacional de Ecologia.
MONTEIRO, A. et al. 2011. Boletim Transparência Manejo Florestal Estado do Mato Grosso (agosto de 2009 a julho de 2010). Belém, Brasil: Imazon. MONTEIRO, A. et al. 2011. Boletim Transparência Manejo Florestal Estado do Pará (2009 e 2010). Belém, Brasil: Imazon.
UNIDAD DE PLANEACIÓN MINERO ENERGÉTICA. 2007. Portafolio de proyectos de generación de energía. Bogotá, Colombia: UPME. Disponible en: <http://www1.upme.gov. co/>. (Consultado: 29 julio 2011).
MÜLLER, R. et al. 2011. Spatiotemporal modeling of the expansion of mechanized agriculture in the Bolivian lowland forests. Applied Geography 31 (2): 631-640.
UNODC Colombia 2009. Censos de cultivos de coca 2008. Bogotá, Colombia. Disponible en: <ftp://190.144.33.2/UNODC/censo2008es.pdf>.
MÜLLER, R. et al. 2012. Proximate causes of deforestation in the Bolivian lowlands: an analysis of spatial dynamics. Regional Environmental Change 12 (3): 445-459. Disponible en: <http://www.springerlink.com/content/w3j848xm1703313h/fulltext.pdf>.
UNODC (Oficina de las Naciones Unidas contra la Droga y el Delito). 2011. Monitoreo de cultivos de coca. Gobiernos de Bolivia, Colombia, Ecuador y Perú. 63 p.
MURCIA GARCÍA, U.G. et al. 2009. Monitoreo de los bosques y otras coberturas de la Amazonia colombiana. Bogotá, Colombia: Instituto Sinchi.
URRUNAGA, J. et al. 2012. La máquina lavadora: cómo el fraude y la corrupción en el sistema de concesiones están destruyendo el futuro de los bosques de Perú. Washington, USA: EIA (Environmental Investigation Agency). Disponible en: <http://launderingmachine.files.wordpress.com/2012/04/spanish_report_eia_final2.pdf>.
NELLEMANN, C.; INTERPOL Environmental Crime Programme (eds). 2012. Green carbon, black trade: illegal logging, tax fraud and laundering in the worlds tropical forests. A rapid response assessment. Arendal, Norway: UNEP, GRID-Arendal.
VAL, A.L.; SANTOS, G.M. (orgs.). 2011. GEEA: Grupo de Estudos Estratégicos Amazônicos. Manaus, Brasil: INPA. (Caderno de Debates, 4). Disponible en: <http://www.inpa. gov.br/comites/arquivos_geea/livro_geea_n4.pdf>.
NEPSTAD, D. et al. 2001 Road paving, fire regime feedbacks, and the future of Amazon forests. Forest Ecology and Management 154: 395-407.
VALENTIM, J.F.; ANDRADE, C.M. 2009. Tendências e perspectivas da pecuária bovina na Amazônia brasileira. Amazônia: Ciência & Desenvolvimento 4 (8): 7-30.
NEPSTAD, D. et al. 2004. Amazon drought and its implications for forest flammability and tree growth: a basin-wide analysis. Global Change Biology 10: 704-717. Disponible en: <http://www.frames.gov/rcs/ttrs/16000/16791.html>.
VERDUM, R. 2012. As obras de infraestrutura do PAC e os povos indígenas na Amazônia brasileira. Brasília, Brasil: Inesc. Disponible en: <http://www.inesc.org.br/noticias/ biblioteca/noticias/biblioteca/textos/obras-do-pac-e-povos-indigenas/>.
NEPSTAD, D. et al. 2006. Inhibition of Amazon deforestation and fire by parks and indigenous lands. Conservation Biology 20 (1): 65–73.
VERÍSSIMO, A. et al. 1992. Logging impacts and prospects for sustainable forest management in an old amazonian frontier: the case of Paragominas. Forest Ecology and Management 55: 169-199.
NOBRE, C.A. 2012. Fundamentos científicos das mudanças climáticas. São José dos Campos, Brasil: Rede Clima/INPE. OLSON, S.H. et al. 2010. Deforestation and malaria in Mâncio Lima County, Brazil. Emerging Infectious Diseases 16 (7): 1108-1115. Disponible em: <http://wwwnc.cdc.gov/ eid/article/16/7/pdfs/09-1785.pdf>. OTCA. 2010. Agenda estratégica de cooperação amazônica: aprovada na X Reunião de Ministros de Relações Exteriores do TCA. Brasília, Brasil. PACHECO, C., AGUADO, I.; MOLLICONE, D. 2011. Las causas de la deforestación en Venezuela: un estudio retrospectivo. BioLlania 10: 281-292. PALACIO, G. (ed.). 2009. Ecología política de la Amazonía: las profusas y difusas redes de la gobernanza. Bogotá, Colombia: ILSA; Ecofondo; Universidad Nacional de Colombia. PDVSA (Petróleos de Venezuela S.A.). 2012. Informe de gestión anual 2011: PDVSA y filiales. Caracas, Venezuela. Disponible en: <http://www.pdvsa.com>. PÉREZ-HERNÁNDEZ, R.; LEW, D. 2001. Las clasificaciones e hipótesis biogeográficas para la Guayana Venezolana. Interciencia 26 (9): 373-382. PFAFF, A. et al. 2007. Road investments, spatial spillovers, and deforestation in the brazilian Amazon. Journal of Regional Science 47 (1): 109–123. PINTO, L.F. 2011. Tucuruí: a barrragem da ditadura. Belém, Brasil: Jornal Pessoal. PINTO, L.F. 2012. A Amazônia em questão: Belo Monte, Vale e outros temas. São Paulo, Brasil: B4 Editores. PNUMA; OTCA; CIUP. 2009. GEO Amazonía: perspectivas del medio ambiente en la Amazonía. Panamá: Pnuma; Brasília, Brasil: OTCA. Disponible en: <http://www.iiap.org. pe/Upload/Publicacion/PUBL909.pdf>. RAY, D.; NEPSTAD, D.; MOUTINHO, P. 2005. Micrometeorological and canopy controls of fire susceptibility in forested Amazon landscape. Ecological Applications 15: 1664–1678. RINCÓN A. et al. 2006. Modelamiento de presiones sobre la biodiversidad en la Guayana. Revista Internacional de Sostenibilidad, Tecnología y Humanismo 211-244p. Disponible en: <http://upcommons.upc.edu/revistes/bitstream/2099/2580/1/13Rincon.pdf>.
VERÍSSIMO, A. et al (orgs.). 2011. Áreas Protegidas na Amazônia brasileira: avanços e desafios. São Paulo, Brasil: Instituto Socioambiental; Belém, Brasil: Imazon. VIEIRA, I.C.; SILVA, J.M.; TOLEDO, P.M. 2005. Estratégias para evitar a perda de biodiversidade na Amazônia. Estudos Avançados 19 (54): 153-164. VIEIRA, I.C. et al. 2008. Deforestation and threats to the biodiversity of Amazonía. Brazilian Journal of Biology 68 (4): 949-956. Disponible en: <http://www.scielo.br/pdf/bjb/ v68n4s0/a04v684s.pdf>. VILLAS-BÔAS, A. (org.). 2012. De olho na Bacia do Xingu. São Paulo: Instituto Socioambiental. (Cartô Brasil Socioambiental, 5). WAY, F. 2012. Guyana & Suriname Oil and Gas Opportunities Promotions Project. Report prepared for Canada’s High Commissioner to Guyana and Ambassador to Suriname. Georgetown, Guyana. Disponible en: <http://www.guyanalaw.net/Recent-developments-in-Oil-and-Gas-In-Guyana-2012.pdf>. WEINHOLD, D.; REIS, E.J.; Vale, P.M. 2012. Sustainability in the tropics: does a boom in deforestation lead to a bust in development? London: Grantham Research Institute on Climate Change and the Environment. (Working Paper, 82). ZÚÑIGA, P. (coord.). 2011. Transformaciones en la Amazonía colombiana: retos para un desarrollo sostenible. Bogotá: Fundación Alisos. Sites consulted Andes Agua Amazonía - <http://www.oeco.com.br/andesaguaamazonia>. Forest Sterwardship Council - <http://www.fsc.org>. Instituto Brasileiro de Geografia e Estatística /Geociências - <http://www.ibge.gov.br/home/geociencias/default_prod.shtm#MAPAS>. Instituto de Manejo e Certificação Florestal e Agrícola - <http://www.imaflora.org>.
RITTNER, D.; BORGES, A. 2012. Novas hidrelétricas vão alagar área equivalente a dez capitais. Valor Econômico, São Paulo, 26 set., Brasil, p. A4.
Instituto de Planificación y Promoción de Soluciones Energéticas - <http://www.ipse.gov.co/>.
RIVERO, S. et al. 2009. Pecuária e desmatamento: uma análise das principais causas diretas do desmatamento na Amazônia. Nova Economia 19 (1): 41-66.
Pacto Intersectorial por la madera legal en Colombia - <http://www.wwf.org.co/?203723/Pacto-Intersectorial-por-la-madera-legal-en-Colombia>.
RODRIGUES, A. et al. 2009. Boom-and-bust development patterns across the Amazon deforestation frontier. Science 324: 1435-1437.
Projeto TerraClass - <http://www.inpe.br/cra/projetos_pesquisas/terraclass.php>.
RODRÍGUEZ, J.P. et al. (eds.). 2011. Representación digital de las Áreas Naturales Protegidas de Venezuela: Parques Nacionales, Monumentos Naturales, Refugios de Fauna, Reservas de Fauna y Reservas de Biósfera. Caracas, Venezuela: Centro de Ecología, IVIC; Total Venezuela, S.A.
Represas en Amazonia - <http://www.dams-info.org/es>.
ROLDÁN, R. 2005. Manual para la formación en derechos indígenas: territorios, recursos naturales y convenios internacionales. Quito, Ecuador: Abya-Yala.
Unidades de Conservação na Amazônia Brasileira - <http://uc.socioambiental.org/>.
ROMERO-RUIZ, M., SARMIENTO, A. 2011. Presiones y amenazas de la Cuenca Amazónica. Bogotá, Colombia: Fundación Gaia Amazonas. Disponible en: <http://www. gaiaamazonas.org/es/docman/test/presiones-y-amenazas-de-la-cuenca-amazonica/download>. ROSA, I.M.; SOUZA JR., C.; EWERS, R.M. Canges in size of deforested patches in the brazilian Amazon. Conservation Biology 26 (5): 923-937. SALAZAR, L.F.; NOBRE, C.A.; OYAMA, M.D. 2007. Climate change consequences on the biome distribution in tropical South America. Geophysical Research Letters 34, L09708. Disponible en: <http://www.agu.org/pubs/crossref/2007/2007GL029695.shtml>. SÁNCHEZ-CUERVO, A.M. et al. 2012. Land cover change in Colombia: surprising forest recovery trends between 2001 and 2010. PLoS ONE 7 (8). Disponible en: http://www. plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0043943 SANTOS, M.A. et al. 2007. Mercado e dinâmica local da cadeia produtiva da pecuária de corte na Região Norte. Belém, Brasil: Banco da Amazônia. (Estudos Setoriais, 1). SASAKI, N.; Putz, E. 2009. Critical need for new definitions of ‘forest’ and ‘forest degradation’ in global climate change agreements. Conservation Letter 2: 1-7. SCHNEIDER, R. et al. 2002. Sustainable Amazon: limitations and opportunities for rural development. Washington, USA: World Bank. (World Bank Technical Paper - Environmental Series, 515). SCHOENE, D. et al. 2007. Definitional issues related to reducing emissions from deforestation in developing countries. Roma, Italia: FAO. (Forests and Climate Change Working Paper, 5). SCHOR, T.; CARNEIRO FILHO, A.; TOLEDO, C. 2008. Fire and economics: understanding the Amazonía’s Fire Arch. En: Proceedings of the second international symposium on fire economics, planning, and policy: a global view (Córdoba, 19-22 april 2004). Albany: U.S. Department of Agriculture - Forest Service. p. 99-109. Disponible en: <http://www.fs.fed.us/psw/publications/documents/psw_gtr208en/psw_gtr208en_099-110_schor.pdf>. SFB (Serviço Florestal Brasileiro). 2011. Plano Anual de Outorga Florestal – PAOF 2012. Brasília, Brasil. SIERRA, R. (ed.). 1999. Propuesta Preliminar de un sistema de clasificación de vegetación para el Ecuador continental. Quito, Ecuador: Proyecto Inefan/GEF – BIRF y EcoCiencia. SIERRA, R.; CALVA, O.; CEVALLOS, J. 2010. Protocolo del sub-sistema de monitoreo remoto para el plan para la protección de los pueblos indígenas aislados. Quito, Ecuador: Ministerio de Ambiente; Ecociencia. SILVESTRINI, R. A. et al. 2011. Simulating fire regimes in the Amazon in response to climate change and deforestation. Ecological Applications 21: 1573-1590. SOARES, L.C. 1953. Limites meridionais e orientais da área de ocorrência da floresta amazônica em território brasileiro. Revista Brasileira de Geografia 15 (1): 3-122. SOUTHWORTH, J. et al. 2011. Roads as drivers of change: trajectories across the tri-national frontier in map, the Southwestern Amazon. Remote Sensing 3 (5): 1047–1066. SOUZA JR., C. et al. 2004. Avanço des estradas endógenas na Amazônia. Belém, Brasil: Imazon. (Série Amazônia em Foco). Disponible en: <http://www.imazon.org.br/ publicacoes/o-estado-da-Amazonía/pressao-humana-no-bioma-Amazonía>. (Consultado: 05 april 2012).
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Sistema de Información Ambiental Territorial de la Amazonia Colombiana - <http://siatac.siac.net.co/web/guest/region>.
Abbreviations ABT (Bolivia) Autoridad de Fiscalización y Control Social de Bosques y Tierra ACPC Asociación para la Conservación del Patrimonio de Cutivireni ACT The Amazon Conservation Team AIDESEP-CIPTA Asociación Interétnica de Desarrollo de la Selva Peruana - Centro de Información y Planificación Territorial ANA (Perú) Autoridad Nacional del Agua ANEEL (Brasil) Agência Nacional de Energia Elétrica ANH (Colombia) Agencia Nacional de Hidrocarburos ANP (Brasil) Agência Nacional do Petróleo, Gás Natural e Biocombustíveis APA Environmental Protection Area BDEP Banco de Dados de Exploração e Produção BDF Box of the chapter Deforestation BFI Box of the chapter Fires (Hot Spots) BHP Box of the chapter Hydroelectric Plants BMN Box of the chapter Mining BNDES Banco Nacional de Desenvolvimento Econômico e Social BOG Box of the chapter Oil and Gas BR Brasil BRD Box of the chapter Roads CDB Convention on Biological Diversity CEDIA Centro para el Desarrollo del Indígena Amazónico CEPE Corporación Estatal Petrolera Ecuatoriana CEPSA Compañía Española de Petróleos CIDOB Confederación de Pueblos Indígenas del Oriente de Bolivia CO Colombia COICA Coordinadora de Organizaciones Indígenas de la Cuenca Amazónica CONAIE Confederación de Nacionalidades Indígenas del Ecuardo CONELEC (Ecuador) Consejo Nacional de Electricidad COSIPLAN Consejo Interamericano de Infraestructura y Planeamento CPC Centro de Investigación Conjunta CPE (Bolivia) Constitución Política del Estado CRO Cordillera Real Oriental DEAL Direction de l’environnement, de l’aménagement et du logement DNPM (Brasil) Departamento Nacional da Produção Mineral EC Ecuador ECOLEX Corporación de Gestión y Derecho Ambiental ECORAE Instituto para el Ecodesarrollo Regional Amazónico EE Ecological Station EMBRAPA Empresa Brasileira de Pesquisa Agropecuária ESA European Space Agency FAN Fundación Amigos de la Naturaleza FAO Food and Agriculture Organization of United Nations FC Forest Concessions FE State Forest FGA Fundación Gaia Amazonas FLACSO Facultad Latinoamericana de Ciencias Sociales FN National Forest FSC Conselho de Administração Florestal FUNAI Fundação Nacional do Índio GDF Chart of the chapter Deforestation GEF Global Environment Facility GEG Greenhouse Gas GFI Chart of the chapter Fires (Hot Spots) GHP Chart of the chapter Hydroelectric Plants GIS Geographic Information System GMN Chart of the chapter Mining GOG Chart of the chapter Oil and Gas GOREL Regional Government of Loreto GRD Chart of the chapter Roads HydroSHEDS Hydrological data and maps based on Shuttle Elevation Derivatives at multiple Scales IBAMA Instituto Brasileiro de Meio Ambiente e Recursos Naturais Renováveis IBC Instituto del Bien Común IBGE Instituto Brasileiro de Geografia e Estatística ICMBio Instituto Chico Mendes de Conservação da Biodiversidade] IT Indigenous Territories ICV Instituto Centro de Vida IGAC (Colombia) Instituto Geográfico Agustín Codazzi IIRSA Integración de la Infraestructura Regional Suramericana IMAC Instituto de Meio Ambiente do Acre IMAZON Instituto do Homem e do Meio Ambiente da Amazônia INCODER Instituto Colombiano de Desarrollo Rural Incra (Brasil) Instituto Nacional de Colonização e Reforma Agrária INGEMMET Instituto Geológico Minero y Metalúrgico INPE (Brasil) Instituto Nacional de Pesquisas Espaciais IPAAM Instituto de Proteção Ambiental do Amazonas IPHAN (Brasil) Instituto do Patrimônio Histórico e Artístico Nacional ISA (Brasil) Instituto Socioambiental IVIC Instituto Venezolano de Investigaciones Científicas, Centro de Ecología, Laboratorio de Biología de Organismos MAE (Ecuador) Ministerio del Ambiente MDF Map of the chapter Deforestation MFI Map of the chapter Fires (Hot Spots)
MHP Map of the chapter Hydroelectric Plants MINAM (Perú) Ministerio del Ambiente MINEM (Perú) Ministerio de Energía y Minas MMN Map of the chapter Mining NOAA National Oceanic and Atmospheric Administration MOG Map of the chapter Oil and Gas MRD Map of the chapter Roads MTC (Perú) Ministerio de Transporte y Comunicaciones NARENA (Suriname) Natural Resource and Environmental Assessment OCEP Oleoducto de Crudos Pesados OIT Organização Internacional do Trabalho OTCA Organización del Tratado de Cooperación Amazónica PCH Small Hydroelectric Plants PDVSA Petróleos de Venezuela S.A. PANE (Ecuador) Patrimonio Nacional de Áreas Naturales del Estado PE State Park PE Perú Petroamazonas EP (Ecuador) Petroamazonas Empresa Publica PETT-Loreto Programa Especial de Titulación de Tierras en Loreto PFS Proyecto Frontera Selva PI Parque Indígena PIX Parque Indígena do Xingu PMOT Plan Municipal de Ordenamiento Territorial PN Parque Nacional PNA Protected Natural Area PPCDAm Plano de Ação para Proteção e Controle do Desmatamento na Amazônia Legal PRODES Projeto Monitoramento da Floresta Amazônica Brasileira por Satélite PROVÍAS NACIONAL (Perú) Proyecto Especial de Infraestructura de Transporte Nacional RAISG Amazonian Network of Georeferenced Socio-Environmental Information RBi Biological Reserve RBiF Forest Biological Reserve RDS Sustainable Development Reserve REx Extractive Reserve RN National Reserve SDS Secretaria de Meio Ambiente e Desenvolvimento Sustentável do Amazonas SERGEOTECMIN (Bolivia) Servicio Nacional de Geología y Técnico de Minas SERNAP (Bolivia) Servicio Nacional de Áreas Protegidas SH Historical Sanctuary SIATAC Sistema de Información Ambiental Territorial de la Amazonía Colombiana SICNA Sistema de Información sobre Comunidades Nativas de la Amazonía Peruana SIG Sistemas de Informação Geográfica SIMEX Sistema de Monitoreo de la Explotación Maderera SN National Sanctuary SRTM Shuttle Radar Topography Mission STF (Brasil) Superior Tribunal Federal TCO Tierra Comunitaria de Origen TDF Table of the chapter Deforestation TRD Table of the chapter Roads TFI Table of the chapter Fires (Hot Spots) THP Table of the chapter Hydroelectric Plants TIPNIS Territorio Indígena y Parque Nacional Isiboro Sécure TMN Table of the chapter Mining TOG Table of the chapter Oil and Gas TREES Tropical Resources and Environment Monitoring by Satellite UHE Hydroelectric Units UNDP United Nations Development Programme UNMSM Universidad Nacional Mayor de San Marcos YPFV Yacimientos Petrolíferos Fiscales Bolivianos
Amazonia under Pressure
65 RAISG
Xingu River. Pará, Brasil. © Pedro Martinelli/ISA, 2002
Savannah close to Santa Helena de Uiarem, Venezuela, border with Brasil.
Nasepotiti Village, Panará indigenous people. Mato Grosso, Brasil.
© Félix Grande Bagazgoita, 2008
© André Villas-Bôas/ISA, 2002
Wuarao community, Orinoco Delta. Amacuro Delta. Venezuela. © Federico Bellone, 1999
Sisi-wen Waterfall, Upper Cotingo River, Raposa Serra do Sol Indigenous Land. Roraima, Brasil. © Taylor Nunes, 2007
Maloca belonging to ‘isolated’ indigenous people between the Itacoaí and Jandiatuba Rivers, on the Brasil-Perú border.© Peetsaa/ Arquivo CGIIRC/Funai, 2011
selo FSC
Salto do Sapo, Canaima National Park, Venezuela. Headwaters of the Upano River, which rises in the Andes and flows into the Amazon.
© Federico Bellone, 1999
© Rubén Ramírez/Proyecto Andes Agua Amazonía,, 2012
San Rafael Waterfall, Coca River. The latter will be adversely affected by the Coca Codo Sinclair Hydroelectric Plant which is being built in Ecuadorian Amazonia with Chinese loans. © Juan Calles, 2010
printed by: Pancrom Indústria Gráfica, São Paulo - Brasil impression: 1.000
Purus River, affluent flowing into the right bank of the Amazonas river. Brasil. Forest in the foothills of the Serra da Mocidade National Park, Brasil-Venezuela border. Roraima, Brasil. © Taylor Nunes, 2006
© Paulo Santos, 2001
Indigenous settlement in the savannah at the base of Mount Roraima, Bolívar state. Venezuela.© Federico Bellone, 1999