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Registro Completo |
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Biblioteca(s): |
Embrapa Rondônia. |
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Data corrente: |
15/03/2016 |
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Data da última atualização: |
15/12/2020 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
HIGA, R. C. V.; XAUD, H. A. M.; ACCIOLY, L. J. de O.; LIMA, R. M. B. de; VASCONCELOS, S. S.; RODRIGUES, V. G. S.; CARVALHO, C. J. R. de; SOUZA, C. R. de; LEONIDAS, F. das C.; TONINI, H.; FERRAZ, J. B. S.; XAUD, M. R.; OLIVEIRA JUNIOR, M. C. M. de; COSTA, R. S. C. da. |
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Afiliação: |
FRANCISCO DAS CHAGAS LEONIDAS, CPAF-RO; ROGERIO SEBASTIAO CORREA DA COSTA, CPAF-RO. |
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Título: |
Estoque de biomassa em florestas plantadas, sistemas agroflorestais, florestas secundárias e Caatinga. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: LIMA, M. A.; BODDEY, R. M.; ALVES, B. J. R.; MACHADO, P. L. O. de A.; URQUIAGA, S. (Ed.). Estoques de carbono e emissões de gases de efeito estufa na agropecuária brasileira. 3. ed. rev. Brasília, DF: Embrapa; Jaguariúna: Embrapa Meio Ambiente, 2015. |
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Páginas: |
p. 103-155. |
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Idioma: |
Português |
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Palavras-Chave: |
Aquecimento global; Estoque de biomassa. |
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Thesagro: |
Efeito Estufa. |
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Thesaurus Nal: |
Pinus. |
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Categoria do assunto: |
-- |
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Marc: |
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001 2041047
005 2020-12-15
008 2015 bl uuuu u0uu1 u #d
100 1 $aHIGA, R. C. V.
245 $aEstoque de biomassa em florestas plantadas, sistemas agroflorestais, florestas secundárias e Caatinga.
260 $aIn: LIMA, M. A.; BODDEY, R. M.; ALVES, B. J. R.; MACHADO, P. L. O. de A.; URQUIAGA, S. (Ed.). Estoques de carbono e emissões de gases de efeito estufa na agropecuária brasileira. 3. ed. rev. Brasília, DF: Embrapa; Jaguariúna: Embrapa Meio Ambiente$c2015
300 $ap. 103-155.
650 $aPinus
650 $aEfeito Estufa
653 $aAquecimento global
653 $aEstoque de biomassa
700 1 $aXAUD, H. A. M.
700 1 $aACCIOLY, L. J. de O.
700 1 $aLIMA, R. M. B. de
700 1 $aVASCONCELOS, S. S.
700 1 $aRODRIGUES, V. G. S.
700 1 $aCARVALHO, C. J. R. de
700 1 $aSOUZA, C. R. de
700 1 $aLEONIDAS, F. das C.
700 1 $aTONINI, H.
700 1 $aFERRAZ, J. B. S.
700 1 $aXAUD, M. R.
700 1 $aOLIVEIRA JUNIOR, M. C. M. de
700 1 $aCOSTA, R. S. C. da
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Registro original: |
Embrapa Rondônia (CPAF-RO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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: |
20/09/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
ARVOR, D.; DUBREUIL, V.; RONCHAIL, J.; SIMÕES, M.; FUNATSUF, B. M. |
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Afiliação: |
DAMIEN ARVOR; VINCENT DUBREUIL; JOSYANE RONCHAIL; MARGARETH GONCALVES SIMOES, CNPS; BEATRIZ M. FUNATSUF. |
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Título: |
Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil). |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
International Journal of Climatology, v. 34, n. 8, p. 2622-2633, Jun. 2014. |
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DOI: |
https://doi.org/10.1002/joc.3863 |
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Idioma: |
Inglês |
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Conteúdo: |
Assessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon. MenosAssessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding th... Mostrar Tudo |
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Palavras-Chave: |
Agricultural practices; Rainy season; Spatiotemporal variability; TRMM 3B42. |
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Thesaurus NAL: |
Amazonia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02347naa a2200241 a 4500
001 1979980
005 2021-09-20
008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1002/joc.3863$2DOI
100 1 $aARVOR, D.
245 $aSpatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil).$h[electronic resource]
260 $c2014
520 $aAssessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon.
650 $aAmazonia
653 $aAgricultural practices
653 $aRainy season
653 $aSpatiotemporal variability
653 $aTRMM 3B42
700 1 $aDUBREUIL, V.
700 1 $aRONCHAIL, J.
700 1 $aSIMÕES, M.
700 1 $aFUNATSUF, B. M.
773 $tInternational Journal of Climatology$gv. 34, n. 8, p. 2622-2633, Jun. 2014.
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