Spatial modelling of deforestation-related factors in the Brazilian semi-arid biome

The Caatinga biome is the largest and wettest semi-arid environment globally, occupying 10% of the Brazilian territory. Half of the original vegetation from the Caatinga has already been deforested. This research aims to identify the factors associated with Caatinga deforestation (2010-2016). Theref...

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Published in:	International journal of environmental studies Vol. 80; no. 4; pp. 1021 - 1040
Main Authors:	da Silva, Carlos Fabricio Assunção, Dos Santos, Alex Mota, de Melo, Silas Nogueira, Rudke, Anderson Paulo, de Almeida Junior, Pedro Monteiro
Format:	Journal Article
Language:	English
Published:	New York Routledge 04-07-2023 Gordon and Breach Science Publishers
Subjects:	Agribusiness Agricultural credit Arid environments Aridity Caatinga Deforestation Environmental science Environmental studies GWR model Semi arid environments Semiarid environments spatial variability Subsistence agriculture Sustainability
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Abstract	The Caatinga biome is the largest and wettest semi-arid environment globally, occupying 10% of the Brazilian territory. Half of the original vegetation from the Caatinga has already been deforested. This research aims to identify the factors associated with Caatinga deforestation (2010-2016). Therefore, the researchers used Geographically Weighted Regression to analyse the drivers of deforestation at the municipal level. Our results showed that five factors are crucial for understanding the spatial variability of deforestation in the Caatinga biome: agricultural credit, cattle, goats, distance from roads, and mining activities. The results were interpreted carefully since the semi-arid Biome is marked by regional asymmetries, mixing subsistence agriculture with agribusiness (MATOPIBA and Vale do Rio São Francisco). The outcome maps allow us to discuss the implication of spatial arrangements and intervention policies towards sustainability.
AbstractList	The Caatinga biome is the largest and wettest semi-arid environment globally, occupying 10% of the Brazilian territory. Half of the original vegetation from the Caatinga has already been deforested. This research aims to identify the factors associated with Caatinga deforestation (2010–2016). Therefore, the researchers used Geographically Weighted Regression to analyse the drivers of deforestation at the municipal level. Our results showed that five factors are crucial for understanding the spatial variability of deforestation in the Caatinga biome: agricultural credit, cattle, goats, distance from roads, and mining activities. The results were interpreted carefully since the semi-arid Biome is marked by regional asymmetries, mixing subsistence agriculture with agribusiness (MATOPIBA and Vale do Rio São Francisco). The outcome maps allow us to discuss the implication of spatial arrangements and intervention policies towards sustainability.
Author	de Almeida Junior, Pedro Monteiro Dos Santos, Alex Mota Rudke, Anderson Paulo da Silva, Carlos Fabricio Assunção de Melo, Silas Nogueira
Author_xml	– sequence: 1 givenname: Carlos Fabricio Assunção surname: da Silva fullname: da Silva, Carlos Fabricio Assunção email: carlos.assuncao@ufpe.br organization: Federal University of Pernambuco, UFPE – sequence: 2 givenname: Alex Mota surname: Dos Santos fullname: Dos Santos, Alex Mota organization: Federal University of Southern Bahia – sequence: 3 givenname: Silas Nogueira surname: de Melo fullname: de Melo, Silas Nogueira organization: State University of Maranhão – sequence: 4 givenname: Anderson Paulo surname: Rudke fullname: Rudke, Anderson Paulo organization: Federal University of Minas Gerais – sequence: 5 givenname: Pedro Monteiro surname: de Almeida Junior fullname: de Almeida Junior, Pedro Monteiro organization: Centre of Nature and Exact Sciences, Federal University of Pernambuco, UFPE
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SubjectTerms	Agribusiness Agricultural credit Arid environments Aridity Caatinga Deforestation Environmental science Environmental studies GWR model Semi arid environments Semiarid environments spatial variability Subsistence agriculture Sustainability
Title	Spatial modelling of deforestation-related factors in the Brazilian semi-arid biome
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