2021
DOI: 10.1016/j.forpol.2021.102615
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Forest, agriculture and land conversion: Environmental efficiency in Brazilian Amazon rainforest

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Cited by 4 publications
(2 citation statements)
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“…The global area of naturally regenerating forests is about 3.737 billion hectares, which decreased at a declining rate of loss since 1990 (FAO, 2020). Rapid social and economic development and the expansion of agribusiness activities have resulted in ecosystem degradation and widespread conversion of primary and secondary forests into agricultural fields and tree plantations (Drescher et al, 2016;Tateishi et al, 2021). Generally, primary forests (including secondary forests) are naturally occurring forests that have not been cultivated or less disturbed by humans, and in primary forests, there are companion tree species, young trees and other ground covers in addition to dominant species.…”
Section: Introductionmentioning
confidence: 99%
“…The global area of naturally regenerating forests is about 3.737 billion hectares, which decreased at a declining rate of loss since 1990 (FAO, 2020). Rapid social and economic development and the expansion of agribusiness activities have resulted in ecosystem degradation and widespread conversion of primary and secondary forests into agricultural fields and tree plantations (Drescher et al, 2016;Tateishi et al, 2021). Generally, primary forests (including secondary forests) are naturally occurring forests that have not been cultivated or less disturbed by humans, and in primary forests, there are companion tree species, young trees and other ground covers in addition to dominant species.…”
Section: Introductionmentioning
confidence: 99%
“…He pointed out that there are significant differences between land use change and land use transition in basic types, spatiotemporal scales, value subjects, driving factors, trajectory characteristics, and results/effects. The empirical research mainly focused on the different spatial scales of the whole country, city, county, and watershed [8,24,[28][29][30][31] to construct the transfer matrix, dynamic attitude model, GIS spatial analysis, landscape index model, etc., to study the spatiotemporal pattern of LUT [31][32][33]. Spatial econometric regression, geographic detectors, GWR, and other models were used to reveal the driving mechanism of LUT or explore the different effects of LUT [7,25,26,34].…”
Section: Introductionmentioning
confidence: 99%