Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management

Forest degradation and forest disturbance are distinct yet often conflated concepts, complicating their definition and monitoring. Forest degradation involves interrupted succession and a severe reduction in forest services over time, caused by factors like fires, illegal selective logging, and edge...

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Main Authors: Afonso Henrique Moraes Oliveira, Eraldo Aparecido Matricardi, Luiz Eduardo Oliveira e Cruz de Aragão, Iara Musse Felix, José Humberto Chaves, Mauro Mendonça Magliano, José Max Barbosa Oliveira-Junior, Thiago Almeida Vieira, Lizandra Elizeário dos Santos, Leonardo Pequeno Reis, Diogo Otávio Scália Pereira, Carlos Tadeu dos Santos Dias, João Ricardo Vasconcellos Gama, Lucieta Guerreiro Martorano
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/16/23/4557
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author Afonso Henrique Moraes Oliveira
Eraldo Aparecido Matricardi
Luiz Eduardo Oliveira e Cruz de Aragão
Iara Musse Felix
José Humberto Chaves
Mauro Mendonça Magliano
José Max Barbosa Oliveira-Junior
Thiago Almeida Vieira
Lizandra Elizeário dos Santos
Leonardo Pequeno Reis
Diogo Otávio Scália Pereira
Carlos Tadeu dos Santos Dias
João Ricardo Vasconcellos Gama
Lucieta Guerreiro Martorano
author_facet Afonso Henrique Moraes Oliveira
Eraldo Aparecido Matricardi
Luiz Eduardo Oliveira e Cruz de Aragão
Iara Musse Felix
José Humberto Chaves
Mauro Mendonça Magliano
José Max Barbosa Oliveira-Junior
Thiago Almeida Vieira
Lizandra Elizeário dos Santos
Leonardo Pequeno Reis
Diogo Otávio Scália Pereira
Carlos Tadeu dos Santos Dias
João Ricardo Vasconcellos Gama
Lucieta Guerreiro Martorano
author_sort Afonso Henrique Moraes Oliveira
collection DOAJ
description Forest degradation and forest disturbance are distinct yet often conflated concepts, complicating their definition and monitoring. Forest degradation involves interrupted succession and a severe reduction in forest services over time, caused by factors like fires, illegal selective logging, and edge effects. Forest disturbance, on the other hand, refers to abrupt, localized events, natural or anthropogenic, such as legal selective logging, tropical blowdowns, storms, or fires, without necessarily leading to long-term degradation. Despite the varying intensity and scale of forest degradation and disturbance, systematic studies distinguishing its types and classes are limited. This study reviews anthropogenic impacts on forests in the Brazilian Amazon, analyzing 80 scientific articles using remote sensing techniques and data. Most research focuses on the “arc of deforestation,” characterized by intense human activity, showcasing methodological advancements but also revealing gaps in monitoring less-studied regions like the central and western Amazon. The findings emphasize the need for advanced remote sensing tools to differentiate degradation types, particularly in sustainable forest management (SFM) contexts. Expanding research to underrepresented regions and refining methodologies are crucial for better understanding forest dynamics and improving conservation strategies. These efforts are essential to support effective forest management and informed policy development across the Amazon.
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series Remote Sensing
spelling doaj-art-6f55e76ff32f45fb8135af81c2130f0d2024-12-13T16:31:15ZengMDPI AGRemote Sensing2072-42922024-12-011623455710.3390/rs16234557Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest ManagementAfonso Henrique Moraes Oliveira0Eraldo Aparecido Matricardi1Luiz Eduardo Oliveira e Cruz de Aragão2Iara Musse Felix3José Humberto Chaves4Mauro Mendonça Magliano5José Max Barbosa Oliveira-Junior6Thiago Almeida Vieira7Lizandra Elizeário dos Santos8Leonardo Pequeno Reis9Diogo Otávio Scália Pereira10Carlos Tadeu dos Santos Dias11João Ricardo Vasconcellos Gama12Lucieta Guerreiro Martorano13Postgraduate Program in Society, Nature and Development (PPGSND), Federal University of Western Pará (UFOPA), Rua Vera Paz—Salé, Santarém 68040255, BrazilDepartment of Forestry, University of Brasilia, Campus Darcy Ribeiro, Brasília 70900910, BrazilEarth Observation and Geoinformatics Division, National Institute for Space Research-INPE, São José dos Campos 12227010, BrazilSCCON Geospatial, São Paulo 04602000, BrazilBrazilian Forest Service—BFS, Brasília 70818900, BrazilNational Institute of Criminalistics, Federal Police, Brasília 70610200, BrazilPostgraduate Program in Society, Nature and Development (PPGSND), Federal University of Western Pará (UFOPA), Rua Vera Paz—Salé, Santarém 68040255, BrazilPostgraduate Program in Society, Nature and Development (PPGSND), Federal University of Western Pará (UFOPA), Rua Vera Paz—Salé, Santarém 68040255, BrazilPostgraduate Program in Society, Nature and Development (PPGSND), Federal University of Western Pará (UFOPA), Rua Vera Paz—Salé, Santarém 68040255, BrazilForestry Engineering Program, Capitão Poço Campus, Federal Rural University of the Amazon, UFRA, Pará 68650000, BrazilNational Institute of Criminalistics, Federal Police, Brasília 70610200, BrazilDepartment of Exact Sciences, Luiz de Queiros College of Agriculture, Padua Dias Avenue, 235, Piracicaba 13400000, BrazilPostgraduate Program in Society, Nature and Development (PPGSND), Federal University of Western Pará (UFOPA), Rua Vera Paz—Salé, Santarém 68040255, BrazilEmbrapa Amazônia Oriental, Brazilian Agricultural Research Corporation, Santarém 68143000, BrazilForest degradation and forest disturbance are distinct yet often conflated concepts, complicating their definition and monitoring. Forest degradation involves interrupted succession and a severe reduction in forest services over time, caused by factors like fires, illegal selective logging, and edge effects. Forest disturbance, on the other hand, refers to abrupt, localized events, natural or anthropogenic, such as legal selective logging, tropical blowdowns, storms, or fires, without necessarily leading to long-term degradation. Despite the varying intensity and scale of forest degradation and disturbance, systematic studies distinguishing its types and classes are limited. This study reviews anthropogenic impacts on forests in the Brazilian Amazon, analyzing 80 scientific articles using remote sensing techniques and data. Most research focuses on the “arc of deforestation,” characterized by intense human activity, showcasing methodological advancements but also revealing gaps in monitoring less-studied regions like the central and western Amazon. The findings emphasize the need for advanced remote sensing tools to differentiate degradation types, particularly in sustainable forest management (SFM) contexts. Expanding research to underrepresented regions and refining methodologies are crucial for better understanding forest dynamics and improving conservation strategies. These efforts are essential to support effective forest management and informed policy development across the Amazon.https://www.mdpi.com/2072-4292/16/23/4557forest disturbanceselective logginganthropogenic impactsconservation strategies
spellingShingle Afonso Henrique Moraes Oliveira
Eraldo Aparecido Matricardi
Luiz Eduardo Oliveira e Cruz de Aragão
Iara Musse Felix
José Humberto Chaves
Mauro Mendonça Magliano
José Max Barbosa Oliveira-Junior
Thiago Almeida Vieira
Lizandra Elizeário dos Santos
Leonardo Pequeno Reis
Diogo Otávio Scália Pereira
Carlos Tadeu dos Santos Dias
João Ricardo Vasconcellos Gama
Lucieta Guerreiro Martorano
Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management
Remote Sensing
forest disturbance
selective logging
anthropogenic impacts
conservation strategies
title Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management
title_full Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management
title_fullStr Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management
title_full_unstemmed Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management
title_short Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management
title_sort assessing forest degradation through remote sensing in the brazilian amazon implications and perspectives for sustainable forest management
topic forest disturbance
selective logging
anthropogenic impacts
conservation strategies
url https://www.mdpi.com/2072-4292/16/23/4557
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