Abstract
Studies showed that Brazilian Amazon indigenous territories (ITs) are efficient models for preserving forests by reducing deforestation, fires, and related carbon emissions. Considering the importance of ITs for conserving socio-environmental and cultural diversity and the recent climb in the Brazilian Amazon deforestation, we used official remote sensing datasets to analyze deforestation inside and outside indigenous territories within Brazil's Amazon biome during the 2013–2021 period. Deforestation has increased by 129% inside ITs since 2013, followed by an increase in illegal mining areas. In 2019–2021, deforestation was 195% higher and 30% farther from the borders towards the interior of indigenous territories than in previous years (2013–2018). Furthermore, about 59% of carbon dioxide (CO2) emissions within ITs in 2013–2021 (96 million tons) occurred in the last three years of analyzed years, revealing the magnitude of increasing deforestation to climate impacts. Therefore, curbing deforestation in indigenous territories must be a priority for the Brazilian government to secure these peoples' land rights, ensure the forests' protection and regulate the global climate.
| Original language | English |
|---|---|
| Article number | 5851 |
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Scientific Reports |
| Volume | 13 |
| DOIs | |
| Publication status | Published - 10 Apr 2023 |
Bibliographical note
Funding Information:We thank scientists at National Institute for Space Research (INPE) for providing the freely available datasets. The University of Manchester funded this work through the "Forest fragmentation mapping of Amazon and its vulnerable margin Amazon-Cerrado transition forests" project. This work was carried out partly at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). G.M. thanks the São Paulo Research Foundation—FAPESP (Grants 2019/25701-8, 2016/02018-2, and 2020/15230-5). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
Funding Information:
We thank scientists at National Institute for Space Research (INPE) for providing the freely available datasets. The University of Manchester funded this work through the "Forest fragmentation mapping of Amazon and its vulnerable margin Amazon-Cerrado transition forests" project. This work was carried out partly at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). G.M. thanks the São Paulo Research Foundation—FAPESP (Grants 2019/25701-8, 2016/02018-2, and 2020/15230-5). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
Publisher Copyright:
© 2023, The Author(s).
Funding
We thank scientists at National Institute for Space Research (INPE) for providing the freely available datasets. The University of Manchester funded this work through the "Forest fragmentation mapping of Amazon and its vulnerable margin Amazon-Cerrado transition forests" project. This work was carried out partly at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). G.M. thanks the São Paulo Research Foundation—FAPESP (Grants 2019/25701-8, 2016/02018-2, and 2020/15230-5). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. We thank scientists at National Institute for Space Research (INPE) for providing the freely available datasets. The University of Manchester funded this work through the "Forest fragmentation mapping of Amazon and its vulnerable margin Amazon-Cerrado transition forests" project. This work was carried out partly at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). G.M. thanks the São Paulo Research Foundation—FAPESP (Grants 2019/25701-8, 2016/02018-2, and 2020/15230-5). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
| Funders | Funder number |
|---|---|
| National Aeronautics and Space Administration | |
| Instituto Nacional de Pesquisas Espaciais, Ministério da Ciência, Tecnologia, Inovações e Comunicações | |
| University of Manchester | |
| Fundação de Amparo à Pesquisa do Estado de São Paulo | 2020/15230-5, 2019/25701-8, 2016/02018-2 |
| Fundação de Amparo à Pesquisa do Estado de São Paulo | |
| Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
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