Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil.

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dc.contributorJUDE 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.creatorKASTEN, J. H.
dc.creatorBROWN, J. C.
dc.creatorCOUTINHO, A. C.
dc.creatorBISHOP, C. R.
dc.creatorESQUERDO, J. C. D. M.
dc.date2018-05-11T00:42:02Z
dc.date2018-05-11T00:42:02Z
dc.date2017-05-16
dc.date2017
dc.date2018-05-11T00:42:02Z
dc.date.accessioned2026-07-07T04:15:36Z
dc.descriptionAbstract - 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.
dc.descriptionartigo e0176168.
dc.identifierPlos One, v. 12, n. 4, p. 1-21, Apr. 2017.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1069623
dc.identifierhttps://doi.or g/10.137 1/journal.pone.0176168
dc.identifier.urihttp://hdl.handle.net/123456789/455803
dc.languageeng
dc.rightsopenAccess
dc.subjectModis
dc.subjectDados espaciais
dc.subjectSoja
dc.subjectDesmatamento
dc.subjectSensoriamento remoto
dc.subjectGlycine Max
dc.subjectSoybeans
dc.subjectModerate resolution imaging spectroradiometer
dc.subjectOilseeds
dc.subjectSeed oils
dc.subjectDeforestation
dc.titleSoy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil.
dc.typeArtigo de periódico

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