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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
06/01/2020 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARAÚJO, M. L. S. DE; SANO, E. E.; BOLFE, E. L.; SANTOS, J. R. N.; SANTOS, J. S. dos; SILVA, F. B. |
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Afiliação: |
MAYARA LUCYANNE SANTOS DE ARAÚJO, UnB; EDSON EYJI SANO, CPAC; EDSON LUIS BOLFE, CNPTIA; JESSFLAN RAFAEL NASCIMENTO SANTOS, UNIVERSIDADE CEUMA; JULIANA SALES DOS SANTOS, UNIVERSIDADE CEUMA; FABRÍCIO BRITO SILVA, UNIVERSIDADE CEUMA. |
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Título: |
Spatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990-2015). |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Land Use Policy, v. 80, p. 57-67, Jan. 2019. |
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DOI: |
https://doi.org/10.1016/j.landusepol.2018.09.040 |
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Idioma: |
Inglês |
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Conteúdo: |
Brazil is a world leader in the production and export of grains, particularly soybeans. The newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone formed by the states of Maranhão, Tocantins, Piauí, and Bahia, located mostly within the Cerrado biome. The objective of this study was to analyze the spatiotemporal dynamics of soybean production and yield in the Matopiba region. We analyzed municipality-based planted areas and production data obtained by the Brazilian Institute of Geography and Statistics during 1990-2015. Yield was estimated from the production and planted area, and the data were analyzed using global and local Moran indices. The results showed that soybean production in the Matopiba region does not occur randomly. Positive and significant autocorrelation was found at the beginning of the time series among those municipalities located in the west of Bahia. This region influenced the soybean expansion from south to north. Currently, high-production areas are concentrated in two autocorrelated blocks: one in western Bahia and the other in the central Matopiba region. Analysis of spatial autocorrelation involving yield showed a decreasing trend at the end of the time series. The presence of municipalities with high yield surrounded by others with low yield, and vice-versa, were observed. The findings of this study could assist local and regional agricultural planning in the Matopiba region, and support related analyses in other fields of agriculture, the environment, and logistics. MenosBrazil is a world leader in the production and export of grains, particularly soybeans. The newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone formed by the states of Maranhão, Tocantins, Piauí, and Bahia, located mostly within the Cerrado biome. The objective of this study was to analyze the spatiotemporal dynamics of soybean production and yield in the Matopiba region. We analyzed municipality-based planted areas and production data obtained by the Brazilian Institute of Geography and Statistics during 1990-2015. Yield was estimated from the production and planted area, and the data were analyzed using global and local Moran indices. The results showed that soybean production in the Matopiba region does not occur randomly. Positive and significant autocorrelation was found at the beginning of the time series among those municipalities located in the west of Bahia. This region influenced the soybean expansion from south to north. Currently, high-production areas are concentrated in two autocorrelated blocks: one in western Bahia and the other in the central Matopiba region. Analysis of spatial autocorrelation involving yield showed a decreasing trend at the end of the time series. The presence of municipalities with high yield surrounded by others with low yield, and vice-versa, were observed. The findings of this study could assist local and regional agricultural planning in the Matopiba region, and support related analyses in other f... Mostrar Tudo |
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Palavras-Chave: |
Agricultural expansion; Expansão agrícola; Geoestatística; Moran index. |
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Thesagro: |
Agricultura; Cerrado; Meio Ambiente; Soja. |
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Thesaurus Nal: |
Agriculture; Environment; Geostatistics; Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02507naa a2200337 a 4500
001 2118202
005 2020-01-07
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.landusepol.2018.09.040$2DOI
100 1 $aARAÚJO, M. L. S. DE
245 $aSpatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990-2015).$h[electronic resource]
260 $c2019
520 $aBrazil is a world leader in the production and export of grains, particularly soybeans. The newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone formed by the states of Maranhão, Tocantins, Piauí, and Bahia, located mostly within the Cerrado biome. The objective of this study was to analyze the spatiotemporal dynamics of soybean production and yield in the Matopiba region. We analyzed municipality-based planted areas and production data obtained by the Brazilian Institute of Geography and Statistics during 1990-2015. Yield was estimated from the production and planted area, and the data were analyzed using global and local Moran indices. The results showed that soybean production in the Matopiba region does not occur randomly. Positive and significant autocorrelation was found at the beginning of the time series among those municipalities located in the west of Bahia. This region influenced the soybean expansion from south to north. Currently, high-production areas are concentrated in two autocorrelated blocks: one in western Bahia and the other in the central Matopiba region. Analysis of spatial autocorrelation involving yield showed a decreasing trend at the end of the time series. The presence of municipalities with high yield surrounded by others with low yield, and vice-versa, were observed. The findings of this study could assist local and regional agricultural planning in the Matopiba region, and support related analyses in other fields of agriculture, the environment, and logistics.
650 $aAgriculture
650 $aEnvironment
650 $aGeostatistics
650 $aSoybeans
650 $aAgricultura
650 $aCerrado
650 $aMeio Ambiente
650 $aSoja
653 $aAgricultural expansion
653 $aExpansão agrícola
653 $aGeoestatística
653 $aMoran index
700 1 $aSANO, E. E.
700 1 $aBOLFE, E. L.
700 1 $aSANTOS, J. R. N.
700 1 $aSANTOS, J. S. dos
700 1 $aSILVA, F. B.
773 $tLand Use Policy$gv. 80, p. 57-67, Jan. 2019.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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