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Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions

Agricultural expansion is causing deforestation in Minas Gerais, Brazil, converting savanna and tropical dry forest to farmland, and in 2012, Brazil’s Forest Code was revised with the government reducing deforestation restrictions. Understanding the effects of policy change on rates and locations of...

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Autores principales: Stan, Kayla, Sanchez-Azofeifa, Arturo, Espírito-Santo, Mário, Portillo-Quintero, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570775/
https://www.ncbi.nlm.nih.gov/pubmed/26371876
http://dx.doi.org/10.1371/journal.pone.0137911
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author Stan, Kayla
Sanchez-Azofeifa, Arturo
Espírito-Santo, Mário
Portillo-Quintero, Carlos
author_facet Stan, Kayla
Sanchez-Azofeifa, Arturo
Espírito-Santo, Mário
Portillo-Quintero, Carlos
author_sort Stan, Kayla
collection PubMed
description Agricultural expansion is causing deforestation in Minas Gerais, Brazil, converting savanna and tropical dry forest to farmland, and in 2012, Brazil’s Forest Code was revised with the government reducing deforestation restrictions. Understanding the effects of policy change on rates and locations of natural ecosystem loss is imperative. In this paper, deforestation in Minas Gerais was simulated annually until 2020 using Dinamica Environment for Geoprocessing Objects (Dinamica EGO). This system is a state-of-the-art land use and cover change (LUCC) model which incorporates government policy, landscape maps, and other biophysical and anthropogenic datasets. Three studied scenarios: (i) business as usual, (ii) increased deforestation, and (iii) decreased deforestation showed more transition to agriculture from shrubland compared to forests, and consistent locations for most deforestation. The probability of conversion to agriculture is strongly tied to areas with the smallest patches of original biome remaining. Increases in agricultural revenue are projected to continue with a loss of 25% of the remaining Cerrado land in the next decade if profit is maximized. The addition of biodiversity value as a tax on land sale prices, estimated at over $750,000,000 USD using the cost of extracting and maintaining current species ex-situ, can save more than 1 million hectares of shrubland with minimal effects on the economy of the State of Minas Gerais. With environmental policy determining rates of deforestation and economics driving the location of land clearing, site-specific protection or market accounting of externalities is needed to balance economic development and conservation.
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spelling pubmed-45707752015-09-18 Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions Stan, Kayla Sanchez-Azofeifa, Arturo Espírito-Santo, Mário Portillo-Quintero, Carlos PLoS One Research Article Agricultural expansion is causing deforestation in Minas Gerais, Brazil, converting savanna and tropical dry forest to farmland, and in 2012, Brazil’s Forest Code was revised with the government reducing deforestation restrictions. Understanding the effects of policy change on rates and locations of natural ecosystem loss is imperative. In this paper, deforestation in Minas Gerais was simulated annually until 2020 using Dinamica Environment for Geoprocessing Objects (Dinamica EGO). This system is a state-of-the-art land use and cover change (LUCC) model which incorporates government policy, landscape maps, and other biophysical and anthropogenic datasets. Three studied scenarios: (i) business as usual, (ii) increased deforestation, and (iii) decreased deforestation showed more transition to agriculture from shrubland compared to forests, and consistent locations for most deforestation. The probability of conversion to agriculture is strongly tied to areas with the smallest patches of original biome remaining. Increases in agricultural revenue are projected to continue with a loss of 25% of the remaining Cerrado land in the next decade if profit is maximized. The addition of biodiversity value as a tax on land sale prices, estimated at over $750,000,000 USD using the cost of extracting and maintaining current species ex-situ, can save more than 1 million hectares of shrubland with minimal effects on the economy of the State of Minas Gerais. With environmental policy determining rates of deforestation and economics driving the location of land clearing, site-specific protection or market accounting of externalities is needed to balance economic development and conservation. Public Library of Science 2015-09-15 /pmc/articles/PMC4570775/ /pubmed/26371876 http://dx.doi.org/10.1371/journal.pone.0137911 Text en © 2015 Stan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Stan, Kayla
Sanchez-Azofeifa, Arturo
Espírito-Santo, Mário
Portillo-Quintero, Carlos
Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions
title Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions
title_full Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions
title_fullStr Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions
title_full_unstemmed Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions
title_short Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions
title_sort simulating deforestation in minas gerais, brazil, under changing government policies and socioeconomic conditions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570775/
https://www.ncbi.nlm.nih.gov/pubmed/26371876
http://dx.doi.org/10.1371/journal.pone.0137911
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