Analysis of land use and cover and its relationship with fire in the indigenous lands of the municipality of Amarante, Maranhão, Brazil
Carregando...
Arquivos
Fontes externas
Fontes externas
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Artigo
Direito de acesso
Arquivos
Fontes externas
Fontes externas
Resumo
The state of Maranhão has high rates of deforestation and fires, especially in the south and southeast, where the Cerrado and Amazon biomes are present. In this context, the municipality of Amarante stands out, located in the southern region of the state, which is home to the second largest cattle herd in the state and plays a significant role as an agricultural hub. The municipality is also part of the MATOPIBA Economic Frontier. The aim of this study is to analyze land use and cover and its relationship with fire in the Indigenous Lands of the Municipality of Amarante, Maranhão, Brazil. Using remote sensing techniques and geospatial data analysis, the aim is to investigate the patterns of deforestation, forest fragmentation and the occurrence of fires in these indigenous lands. Through a temporal approach, analyzing the period from 1985 to 2020 with 5-year intervals between each cut, results were obtained that reveal a direct correlation between the advance of agricultural activities, the frequency of fires, deforestation and illegal logging in the region. The study also highlights the increase in violence and territorial conflicts resulting from the expansion of these economic activities, directly affecting indigenous populations and highlighting the territorial tension related to land use and coverage. These findings highlight the urgent need to implement conservation and sustainable land use management strategies in indigenous areas, with a view to protecting biodiversity and traditional ways of life.
Descrição
Palavras-chave
Burning, Deforestation, MATOPIBA, Remote Sensing, Territorial Conflicts
Idioma
Português
Citação
Revista Brasileira de Geografia Fisica, v. 17, n. 3, p. 1738-1753, 2024.




