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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
14/02/2014 |
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Data da última atualização: |
11/03/2014 |
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Autoria: |
ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V.; BEGUÈ, A.; SHIMABUKURO, Y. E. |
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Afiliação: |
Damien Arvor; MARGARETH SIMOES P MEIRELLES, CNPS; Vincent Dubreuil; Agnès Bégué; Yosio E. Shimabukuro. |
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Título: |
Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Applied Geography, v. 32, p. 702-713, 2011. |
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Idioma: |
Português |
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Conteúdo: |
The Amazonian state of Mato Grosso is the main production area for soybeans in Brazil and contains 31.3% of the national production as of 2009. The rapid evolution of the agricultural systems in this area shows that the region is experiencing a rapid agricultural transition. In this paper, we broke down this transition process into three steps: crop expansion, agricultural intensification and ecological intensification. We used remote sensing products to develop and compute satellite-derived indices describing the main agricultural dynamics during the cropping years from 2000e2001 to 2006e2007. Our results indicated that Mato Grosso is continuing to expand its agricultural sector, with a 43% increase in the net cropped area during the study period. Although this expansion mainly occurred in the cerrado ecoregion until the early 2000s, the forest ecoregion is experiencing expansion at this time.We observed that 65% of the crop expansion in Mato Grosso from 2000 to 2006 occurred in this ecoregion. However, we did not identify this crop expansion as the major driver of deforestation in Mato Grosso because only 12.6% of the cleared areas were directly converted into croplands. Agricultural intensification also evolved rapidly, as the proportion of the net cropped area cultivated with double cropping systems harvesting two successive commercial crops (i.e., soybean and corn or soybean and cotton) increased from 6% to 30% during the study period. Finally, we found that ecological intensification occurred because the region?s farmers planted a noncommercial crop (i.e., millet or sorghum) after the soybean harvest to prevent soil erosion, improve soil quality, break pest cycles, maintain soil moisture and set the conditions for high-quality no-tillage operations. In 2006e2007, 62% of the net cropped area was permanently covered by crops during the entire rainy season. This practice allowed the farmers to diversify their production, as shown by the positive evolution of the Area Diversity Index. Future scholars can use the method proposed in this paper to improve their understanding of the forces driving the agricultural dynamics in Mato Grosso. MenosThe Amazonian state of Mato Grosso is the main production area for soybeans in Brazil and contains 31.3% of the national production as of 2009. The rapid evolution of the agricultural systems in this area shows that the region is experiencing a rapid agricultural transition. In this paper, we broke down this transition process into three steps: crop expansion, agricultural intensification and ecological intensification. We used remote sensing products to develop and compute satellite-derived indices describing the main agricultural dynamics during the cropping years from 2000e2001 to 2006e2007. Our results indicated that Mato Grosso is continuing to expand its agricultural sector, with a 43% increase in the net cropped area during the study period. Although this expansion mainly occurred in the cerrado ecoregion until the early 2000s, the forest ecoregion is experiencing expansion at this time.We observed that 65% of the crop expansion in Mato Grosso from 2000 to 2006 occurred in this ecoregion. However, we did not identify this crop expansion as the major driver of deforestation in Mato Grosso because only 12.6% of the cleared areas were directly converted into croplands. Agricultural intensification also evolved rapidly, as the proportion of the net cropped area cultivated with double cropping systems harvesting two successive commercial crops (i.e., soybean and corn or soybean and cotton) increased from 6% to 30% during the study period. Finally, we found that ecological ... Mostrar Tudo |
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Palavras-Chave: |
Amazon Agricultural intensification; Crop expansion. |
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Thesaurus Nal: |
cropping systems; deforestation; remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02858naa a2200229 a 4500
001 1979969
005 2014-03-11
008 2011 bl uuuu u00u1 u #d
100 1 $aARVOR, D.
245 $aAnalyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices.$h[electronic resource]
260 $c2011
520 $aThe Amazonian state of Mato Grosso is the main production area for soybeans in Brazil and contains 31.3% of the national production as of 2009. The rapid evolution of the agricultural systems in this area shows that the region is experiencing a rapid agricultural transition. In this paper, we broke down this transition process into three steps: crop expansion, agricultural intensification and ecological intensification. We used remote sensing products to develop and compute satellite-derived indices describing the main agricultural dynamics during the cropping years from 2000e2001 to 2006e2007. Our results indicated that Mato Grosso is continuing to expand its agricultural sector, with a 43% increase in the net cropped area during the study period. Although this expansion mainly occurred in the cerrado ecoregion until the early 2000s, the forest ecoregion is experiencing expansion at this time.We observed that 65% of the crop expansion in Mato Grosso from 2000 to 2006 occurred in this ecoregion. However, we did not identify this crop expansion as the major driver of deforestation in Mato Grosso because only 12.6% of the cleared areas were directly converted into croplands. Agricultural intensification also evolved rapidly, as the proportion of the net cropped area cultivated with double cropping systems harvesting two successive commercial crops (i.e., soybean and corn or soybean and cotton) increased from 6% to 30% during the study period. Finally, we found that ecological intensification occurred because the region?s farmers planted a noncommercial crop (i.e., millet or sorghum) after the soybean harvest to prevent soil erosion, improve soil quality, break pest cycles, maintain soil moisture and set the conditions for high-quality no-tillage operations. In 2006e2007, 62% of the net cropped area was permanently covered by crops during the entire rainy season. This practice allowed the farmers to diversify their production, as shown by the positive evolution of the Area Diversity Index. Future scholars can use the method proposed in this paper to improve their understanding of the forces driving the agricultural dynamics in Mato Grosso.
650 $acropping systems
650 $adeforestation
650 $aremote sensing
653 $aAmazon Agricultural intensification
653 $aCrop expansion
700 1 $aMEIRELLES, M. S. P.
700 1 $aDUBREUIL, V.
700 1 $aBEGUÈ, A.
700 1 $aSHIMABUKURO, Y. E.
773 $tApplied Geography$gv. 32, p. 702-713, 2011.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
20/10/2006 |
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Data da última atualização: |
30/03/2023 |
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Autoria: |
SILVA, E. M. da; LIMA, J. E. F. W.; RODRIGUES, L. N.; AZEVEDO, J. A. de. |
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Afiliação: |
Euzebio Medrado da Silva, CPAC; JORGE ENOCH FURQUIM WERNECK LIMA, CPAC; LINEU NEIVA RODRIGUES, CPAC; Juscelino Antônio de Azevedo, CPAC. |
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Título: |
Comparação de modelos matemáticos não-lineares empregados na análise de desempenho de sistemas de irrigação. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 41, n. 6, p. 1049-1052, jun. 2006 |
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Idioma: |
Português |
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Notas: |
Notas Científicas.
Título em inglês: Comparison of non-linear models used for evaluating irrigation system performance. |
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Conteúdo: |
Modelos matemáticos não-lineares utilizados na análise de desempenho de sistemas de irrigação foram comparados visando a indicar o que se ajusta melhor aos dados observados em perfis de distribuição da água aplicada na irrigação. Foram considerados quatro modelos de probabilidade (Normal, Log-normal, Gama e Beta) e dois modelos potenciais (modelos Silva e Karmeli), aplicados a 91 casos de avaliação de desempenho da irrigação. A comparação entre as curvas de freqüência acumulada da soma de quadrados dos erros, obtida do ajuste de cada modelo aos dados, revelou que o modelo Silva é estatisticamente o melhor entre os modelos testados. |
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Palavras-Chave: |
application uniformity; distribution profile; eficiência de irrigação; irrigation efficiency; perfil de distribuição; uniformidade de aplicação. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/AI-SEDE/36266/1/41n06a22.pdf
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Marc: |
LEADER 01590naa a2200241 a 4500
001 1119013
005 2023-03-30
008 2006 bl uuuu u00u1 u #d
100 1 $aSILVA, E. M. da
245 $aComparação de modelos matemáticos não-lineares empregados na análise de desempenho de sistemas de irrigação.$h[electronic resource]
260 $c2006
500 $aNotas Científicas. Título em inglês: Comparison of non-linear models used for evaluating irrigation system performance.
520 $aModelos matemáticos não-lineares utilizados na análise de desempenho de sistemas de irrigação foram comparados visando a indicar o que se ajusta melhor aos dados observados em perfis de distribuição da água aplicada na irrigação. Foram considerados quatro modelos de probabilidade (Normal, Log-normal, Gama e Beta) e dois modelos potenciais (modelos Silva e Karmeli), aplicados a 91 casos de avaliação de desempenho da irrigação. A comparação entre as curvas de freqüência acumulada da soma de quadrados dos erros, obtida do ajuste de cada modelo aos dados, revelou que o modelo Silva é estatisticamente o melhor entre os modelos testados.
653 $aapplication uniformity
653 $adistribution profile
653 $aeficiência de irrigação
653 $airrigation efficiency
653 $aperfil de distribuição
653 $auniformidade de aplicação
700 1 $aLIMA, J. E. F. W.
700 1 $aRODRIGUES, L. N.
700 1 $aAZEVEDO, J. A. de
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 41, n. 6, p. 1049-1052, jun. 2006
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