The ineffectiveness of the Triunfo do Xingu Environmental Protection Area in curbing deforestation in the Brazilian Amazon

Authors

DOI:

https://doi.org/10.5902/2236499485447

Keywords:

Terra do Meio, ranching, pasture, land use and land cover change (LUCC), protected areas, conservation unit, governance

Abstract

The Triunfo do Xingu Environmental Protection Area (APATX) exhibits the highest deforestation rates within the Brazilian Legal Amazon (BLA) when compared to other protected areas (PAs). Our study, utilizing geospatial and statistical techniques coupled with data from PRODES and Mapbiomas, scrutinized landscape transformations from 2001 to 2022 to assess the efficacy of APATX in curtailing deforestation. The findings underscore that the primary driver of deforestation within APATX was the conversion of land for pasture. The deforestation rates observed within APATX mirrored the broader trend within BLA, with notably higher rates within the São Félix do Xingu area compared to areas outside it, while Altamira exhibited no significant differences. Our study revealed that APATX exhibited a deforestation trend closely aligned with the overall pattern observed in the biome, showing deforestation levels that exceed legally expected values based on available data. This suggests that the PA is responding similarly to the rest of the Brazilian Amazon to the factors driving deforestation. Consequently, APATX, a crucial area for conservation in the Amazon, has failed to effectively curb deforestation in a critical region of agricultural expansion, where the conversion of forests into pastureland is the primary driver of deforestation.

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Author Biographies

Manoel Ribeiro Rodrigues Neto, National Institute for Space Research

Master's degree in Geography from the Graduate Program in Geography - PPGEO at the Federal University of Alfenas - UNIFAL (2021). During his master's degree, he received a scholarship from the Coordination for the Improvement of Higher Education Personnel - CAPES. Graduated in Geography with a bachelor's degree from the Federal University of Alfenas - UNIFAL (2019). During his undergraduate studies, he received a scientific initiation scholarship from the Minas Gerais State Research Support Foundation (FAPEMIG). Previously, he graduated as a Computer Network Technician (2012) from the SENAC-CFP Technical Education Unit in Itajubá. He currently works as a GIS analyst for the Project for Monitoring Deforestation in the Legal Amazon by Satellite (PRODES), at the National Institute for Space Research (INPE). Area of expertise: Remote Sensing, Geoprocessing, Spatial Analysis in GIS.

 

Dayane Rafaela Vidal de Moraes, National Institute for Space Research

Graduated in Geoprocessing Technology from the Federal University of Pará (UFPA). Technician in Surveying at the Federal Institute of Pará (IFPA). She has been working since 2012 in the area of Geosciences, mainly on the following topics: Geoprocessing, Spatial Analysis and Geotechnologies applied to the environment, with skills in manipulating data in the following software: ArcGis, QGIS, TerraAmazon, TerraView and AutoCad. PIBIC scholarship holder in the research project “Dynamics of the Guamá River Basin Landscapes: Subsidies for Integrated Environmental Planning”, which aims to understand the relationships, on a space-time scale, between the different agents that produce and transform local landscapes. He worked as a GIS analyst in the Project for Monitoring Deforestation in the Legal Amazon by Satellite (PRODES), at the National Institute for Space Research (INPE).

Cassiano Gustavo Messias, National Institute for Space Research

He holds a Bachelor's degree in Geography with an emphasis on environmental analysis and geoprocessing (2011) and a Bachelor's degree in Geography from the Federal University of Alfenas (2012). She has a master's degree in Geography from the State University of Campinas (2014). She has a PhD in Geography from the State University of Campinas (2018). He has worked on projects developed in the Geomorphology and Soils laboratories (ICN-Unifal-MG), Geosolos (Epamig-UFLA), Spatial Analysis and Geoprocessing (IG-Unicamp) and Learning in Logistics and Transportation (FEC-Unicamp). Between 2019 and 2021 he was an auditor and since 2021 he has been the technical coordinator of the Project for Monitoring Deforestation in the Legal Amazon by Satellite (PRODES Amazônia and PRODES non-forest), PRODES Pantanal, the real-time deforestation detection system (DETER) for non-forest areas of the Amazon and the Pantanal. Area of expertise: Remote Sensing, Geoprocessing, Spatial Analysis and Spatial Data Modeling in GIS.

Luciana Soler, National Institute for Space Research

She has experience as an environmental consultant in the areas of geosciences and geotechnology applications, with an emphasis on earth system modeling. Her main areas of interest are: land use and occupation dynamics, biomass estimation, environmental assets and liabilities and their interactions with sustainable food production, food and nutritional security, statistical methods and cognitive tools for developing scenarios. She holds a bachelor's degree in Physics from the Federal University of Mato Grosso do Sul (1997), a master's degree in Remote Sensing from the National Institute for Space Research (2000), a PhD in Production Ecology and Resource Conservation from Wageningen University, the Netherlands (2014) and a postdoctoral fellowship at the Center for Earth System Science at INPE (2018) in the DEVIL project (Fapesp 2014/50627-2, http://deliveringfoodsecurity.org/), investigating how changes in land use and land cover in the Brazilian Cerrado determine food security in Brazil and worldwide. She worked as a technologist at the Federal University of Rio de Janeiro (COPPE/UFRJ) between 2002 and 2004 on an operational project to monitor hydrocarbons at sea using SAR images. She has worked as a collaborator and consultant on environmental monitoring projects for companies and government agencies. She was an assistant researcher on an operational and scientific collaboration project between INPE (MCTI) and the Planetary Skin Institute (CISCO) between 2010 and 2012. She worked as a civil servant at the Ministry of Science, Technology and Innovation (MCTI) between 2012 and 2015 in the operational management of natural disasters at the National Center for Natural Disaster Monitoring and Alerts (CEMADEN). She worked as an environmental consultant in the recovery of degraded areas, agroforestry implementation and food production with a focus on food security. In 2022, she was a technical advisor on the FIP Landscape project by Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH (GIZ) in collaboration with INPE in the execution, research and innovation of the Brazilian Biomes Monitoring Program, especially in the PRODES, DETER and TERRACLASS projects.

Cláudio Aparecido de Almeida, National Institute for Space Research

He has a degree in Agronomy from the Federal Rural University of Rio de Janeiro (1992), a master's degree in Remote Sensing from the National Institute for Space Research (2008) and a PhD in Geomatics from the Université de Montpellier - France (2016). He is currently a senior technologist at the National Institute for Space Research. He was Head of the Amazon Regional Center between January 2009 and December 2012. He is the Coordinator of the Amazon and Other Biomes Monitoring Program.

Vagner Luis Camilotti, National Institute for Space Research

Veterinarian (UFSM-RS), Master in Ecology (UFRGS-RS) and PhD in Earth System Science (INPE-SP). He conducts research into the effect of habitat loss on biodiversity and ecosystem functionality. He is currently a visiting researcher in the Amazon Deforestation Monitoring Program (PRODES) at the National Institute for Space Research.

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2024-09-19

How to Cite

Neto, M. R. R., Moraes, D. R. V. de, Messias, C. G., Soler, L., Almeida, C. A. de, & Camilotti, V. L. (2024). The ineffectiveness of the Triunfo do Xingu Environmental Protection Area in curbing deforestation in the Brazilian Amazon. Geografia Ensino & Pesquisa, 28, e85447. https://doi.org/10.5902/2236499485447

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Meio Ambiente, Paisagem e Qualidade Ambiental