Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069623 https://doi.or g/10.137 1/journal.pone.0176168 |
Resumo: | Abstract - Previous research has established the usefulness of remotely sensed vegetation index (VI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production, across periods of several years. Annual land cover (LC) maps support investigation of the spatiotemporal dynamics of agriculture as they relate to forest cover and governance and policy efforts to lower deforestation rates. We use a unique, spatially extensive 9-year (2005?2013) ground reference dataset to classify, with approximately 80% accuracy, MODIS VI data, merging the results with carefully processed annual forest and sugarcane coverages developed by Brazil?s National Institute for Space Research to produce LC maps for MT for the 2001?2014 crop years. We apply the maps to an evaluation of forest and agricultural intensification dynamics before and after the Soy Moratorium (SoyM), a governance effort enacted in July 2006 to halt deforestation for the purpose of soy production in the Brazilian Amazon. We find the pre-SoyM deforestation rate to be more than five times the post-SoyM rate, while simultaneously observing the pre-SoyM forest-to-soy conversion rate to be more than twice the post-SoyM rate. These observations support the hypothesis that SoyM has played a role in reducing both deforestation and subsequent use for soy production. Additional analyses explore the land use tendencies of deforested areas and the conceptual framework of horizontal and vertical agricultural intensification, which distinguishes production increases attributable to cropland expansion into newly deforested areas as opposed to implementation of multi-cropping systems on existing cropland. During the 14-year study period, soy production was found to shift from predominantly single-crop systems to majority double-crop systems. |
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Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil.ModisDados espaciaisSojaDesmatamentoSensoriamento remotoGlycine MaxSoybeansModerate resolution imaging spectroradiometerOilseedsSeed oilsDeforestationAbstract - Previous research has established the usefulness of remotely sensed vegetation index (VI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production, across periods of several years. Annual land cover (LC) maps support investigation of the spatiotemporal dynamics of agriculture as they relate to forest cover and governance and policy efforts to lower deforestation rates. We use a unique, spatially extensive 9-year (2005?2013) ground reference dataset to classify, with approximately 80% accuracy, MODIS VI data, merging the results with carefully processed annual forest and sugarcane coverages developed by Brazil?s National Institute for Space Research to produce LC maps for MT for the 2001?2014 crop years. We apply the maps to an evaluation of forest and agricultural intensification dynamics before and after the Soy Moratorium (SoyM), a governance effort enacted in July 2006 to halt deforestation for the purpose of soy production in the Brazilian Amazon. We find the pre-SoyM deforestation rate to be more than five times the post-SoyM rate, while simultaneously observing the pre-SoyM forest-to-soy conversion rate to be more than twice the post-SoyM rate. These observations support the hypothesis that SoyM has played a role in reducing both deforestation and subsequent use for soy production. Additional analyses explore the land use tendencies of deforested areas and the conceptual framework of horizontal and vertical agricultural intensification, which distinguishes production increases attributable to cropland expansion into newly deforested areas as opposed to implementation of multi-cropping systems on existing cropland. During the 14-year study period, soy production was found to shift from predominantly single-crop systems to majority double-crop systems.artigo e0176168.JUDE H. KASTENS, University of Kansas.; J. CHRISTOPHER BROWN, University of Kansas; ALEXANDRE CAMARGO COUTINHO, CNPTIA; CHRISTOPHER R. BISHOP, University of Kansas; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA.KASTEN, J. H.BROWN, J. C.COUTINHO, A. C.BISHOP, C. R.ESQUERDO, J. C. D. M.2018-05-11T00:42:02Z2018-05-11T00:42:02Z2017-05-1620172018-05-11T00:42:02Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePlos One, v. 12, n. 4, p. 1-21, Apr. 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069623https://doi.or g/10.137 1/journal.pone.0176168enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-05-11T00:42:09Zoai:www.alice.cnptia.embrapa.br:doc/1069623Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-05-11T00:42:09falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-05-11T00:42:09Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
title |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
spellingShingle |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. KASTEN, J. H. Modis Dados espaciais Soja Desmatamento Sensoriamento remoto Glycine Max Soybeans Moderate resolution imaging spectroradiometer Oilseeds Seed oils Deforestation |
title_short |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
title_full |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
title_fullStr |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
title_full_unstemmed |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
title_sort |
Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. |
author |
KASTEN, J. H. |
author_facet |
KASTEN, J. H. BROWN, J. C. COUTINHO, A. C. BISHOP, C. R. ESQUERDO, J. C. D. M. |
author_role |
author |
author2 |
BROWN, J. C. COUTINHO, A. C. BISHOP, C. R. ESQUERDO, J. C. D. M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
JUDE H. KASTENS, University of Kansas.; J. CHRISTOPHER BROWN, University of Kansas; ALEXANDRE CAMARGO COUTINHO, CNPTIA; CHRISTOPHER R. BISHOP, University of Kansas; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA. |
dc.contributor.author.fl_str_mv |
KASTEN, J. H. BROWN, J. C. COUTINHO, A. C. BISHOP, C. R. ESQUERDO, J. C. D. M. |
dc.subject.por.fl_str_mv |
Modis Dados espaciais Soja Desmatamento Sensoriamento remoto Glycine Max Soybeans Moderate resolution imaging spectroradiometer Oilseeds Seed oils Deforestation |
topic |
Modis Dados espaciais Soja Desmatamento Sensoriamento remoto Glycine Max Soybeans Moderate resolution imaging spectroradiometer Oilseeds Seed oils Deforestation |
description |
Abstract - Previous research has established the usefulness of remotely sensed vegetation index (VI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to characterize the spatial dynamics of agriculture in the state of Mato Grosso (MT), Brazil. With these data it has become possible to track MT agriculture, which accounts for ~85% of Brazilian Amazon soy production, across periods of several years. Annual land cover (LC) maps support investigation of the spatiotemporal dynamics of agriculture as they relate to forest cover and governance and policy efforts to lower deforestation rates. We use a unique, spatially extensive 9-year (2005?2013) ground reference dataset to classify, with approximately 80% accuracy, MODIS VI data, merging the results with carefully processed annual forest and sugarcane coverages developed by Brazil?s National Institute for Space Research to produce LC maps for MT for the 2001?2014 crop years. We apply the maps to an evaluation of forest and agricultural intensification dynamics before and after the Soy Moratorium (SoyM), a governance effort enacted in July 2006 to halt deforestation for the purpose of soy production in the Brazilian Amazon. We find the pre-SoyM deforestation rate to be more than five times the post-SoyM rate, while simultaneously observing the pre-SoyM forest-to-soy conversion rate to be more than twice the post-SoyM rate. These observations support the hypothesis that SoyM has played a role in reducing both deforestation and subsequent use for soy production. Additional analyses explore the land use tendencies of deforested areas and the conceptual framework of horizontal and vertical agricultural intensification, which distinguishes production increases attributable to cropland expansion into newly deforested areas as opposed to implementation of multi-cropping systems on existing cropland. During the 14-year study period, soy production was found to shift from predominantly single-crop systems to majority double-crop systems. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-05-16 2017 2018-05-11T00:42:02Z 2018-05-11T00:42:02Z 2018-05-11T00:42:02Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Plos One, v. 12, n. 4, p. 1-21, Apr. 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069623 https://doi.or g/10.137 1/journal.pone.0176168 |
identifier_str_mv |
Plos One, v. 12, n. 4, p. 1-21, Apr. 2017. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069623 https://doi.or g/10.137 1/journal.pone.0176168 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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