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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
20/02/2009 |
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Data da última atualização: |
01/07/2013 |
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Tipo da produção científica: |
Monitoramento/Zoneamento |
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Autoria: |
BHERING, S. B.; AMARAL, F. C. S. do; MOTTA, P. E. F.; NAIME, U. J.; PEREIRA, N. R.; CARVALHO JUNIOR, W. de; CHAGAS, C. S.; ZARONI, M. J.; GONÇALVES, A. O.; SILVA, E. F. da; PINHEIRO, T. S. A. D.; FERNANDES, T. G.; RODRIGUES, R. S. |
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Afiliação: |
Silvio Barge Bhering, Embrapa Solos; Fernando César Saraiva do Amaral, Embrapa Solos; Paulo Emílio Ferreira da Motta, Embrapa Solos; Uebi Jorge Naine, Embrapa Solos; Nilson Rendeiro Pereira, Embrapa Solos; Waldir de Carvalho Júnior, Embrapa Solos; César da Silva Chagas, Embrapa Solos; Maria José Zaroni, Embrapa Solos; Alexandre Ortega Gonçalves, Embrapa Solos; Enio Fraga da Silva, Embrapa Solos; Thalita Shamyra Alves Dantas Pinheiro, UERJ; Tamara G. Fernandes, UFF; Renata S. Rodrigues, UFF. |
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Título: |
[Mapa] zoneamento agroecológico para uva do município de Antônio João. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: ZONEAMENTO agroecológico do Estado do Mato Grosso do Sul: municípios - fase 1 Antônio João; Bela Vista; Bodoquena; Bonito; Caracol; Guia Lopes da Laguna; Jardim; Miranda; Níoaque; Ponta Porã e Porto Murtinho.Cuiabá: SEPROTUR; Rio de Janeiro: Embrapa Solos, 2008. |
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Descrição Física: |
mapa color.; escala 1:100.000. |
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Idioma: |
Português |
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Notas: |
Este mapa faz parte do Relatório Técnico, Convênio n. 03.05.0.01.64.00. |
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Palavras-Chave: |
Antônio João; Zoneamento. |
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Thesagro: |
Uva. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01146nem a2200301 a 4500
001 1339915
005 2013-07-01
008 2008 bl uuuu u0uu1 u #d
100 1 $aBHERING, S. B.
245 $a[Mapa] zoneamento agroecológico para uva do município de Antônio João.
260 $aIn: ZONEAMENTO agroecológico do Estado do Mato Grosso do Sul: municípios - fase 1 Antônio João; Bela Vista; Bodoquena; Bonito; Caracol; Guia Lopes da Laguna; Jardim; Miranda; Níoaque; Ponta Porã e Porto Murtinho.Cuiabá: SEPROTUR; Rio de Janeiro: Embrapa Solos$c2008
300 $cmapa color.; escala 1:100.000.
500 $aEste mapa faz parte do Relatório Técnico, Convênio n. 03.05.0.01.64.00.
650 $aUva
653 $aAntônio João
653 $aZoneamento
700 1 $aAMARAL, F. C. S. do
700 1 $aMOTTA, P. E. F.
700 1 $aNAIME, U. J.
700 1 $aPEREIRA, N. R.
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aCHAGAS, C. S.
700 1 $aZARONI, M. J.
700 1 $aGONÇALVES, A. O.
700 1 $aSILVA, E. F. da
700 1 $aPINHEIRO, T. S. A. D.
700 1 $aFERNANDES, T. G.
700 1 $aRODRIGUES, R. S.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
20/10/2016 |
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Data da última atualização: |
20/05/2022 |
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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: |
MALLICK, K.; TREBS, I.; BOEGH, E.; GIUSTARINI, L.; SCHLERF, M.; DREWRY, D. T.; HOFFMANN, L.; RANDOW, C. von; KRUIJT, B.; ARAUJO, A.; SALESKA, S.; EHLERINGER, J. R.; DOMINGUES, T. F.; OMETTO, J. P. H. B.; NOBRE, A. D.; MORAES, O. L. L. de; HAYEK, M.; MUNGER, J. W.; WOFSY, S. C. |
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Afiliação: |
KANISKA MALLICK, Luxembourg Institute of Science and Technology; IVONNE TREBS, Luxembourg Institute of Science and Technology; EVA BOEGH, Roskilde University; LAURA GIUSTARINI, Luxembourg Institute of Science and Technology; MARTIN SCHLERF, Luxembourg Institute of Science and Technology; DARREN DREWRY, California Institute of Technology; LUCIEN HOFFMANN, Luxembourg Institute of Science and Technology; CELSO VON RANDOW, INPE; BART KRUIJT, Wageningen University and Research Centre; ALESSANDRO CARIOCA DE ARAUJO, CPATU; SCOTT SALESKA, University of Arizona; JAMES R. EHLERINGER, University of Utah; TOMAS F. DOMINGUES, USP; JEAN PIERRE H. B. OMETTO, INPE; ANTONIO D. NOBRE, INPE; OSVALDO LUIZ LEAL DE MORAES, Centro Nacional de Monitoramento e Alertas de Desastres Naturais; MATTHEW HAYEK, Harvard University; WILLIAM MUNGER, Harvard University; STEVE WOFSY, Harvard University. |
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Título: |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Hydrology and Earth System Science Discussions, 27 Jan. 2016. |
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DOI: |
10.5194/hess-2015-552 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
Canopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (λET) and evaporation (λEE) flux components of the terrestrial latent heat flux (λE), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on λET and λEE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, λET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on λET during the wet (rainy) seasons where λET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80 % of the variances of λET. However, biophysical control on λET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65 % of the variances of λET, and indicates λET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between λET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales. MenosCanopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (λET) and evaporation (λEE) flux components of the terrestrial latent heat flux (λE), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on λET and λEE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, λET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on λET during the wet (rainy) seasons where λET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80 % of the variances of λET. However, biophysical control on λET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining... Mostrar Tudo |
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Palavras-Chave: |
Transpiração; Trasnpiração. |
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Thesagro: |
Climatologia; Evaporação. |
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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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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149606/1/hess-2015-552.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149045/1/hess-20-4237-2016.pdf
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Marc: |
LEADER 03867naa a2200409 a 4500
001 2055915
005 2022-05-20
008 2016 bl uuuu u00u1 u #d
024 7 $a10.5194/hess-2015-552$2DOI
100 1 $aMALLICK, K.
245 $aCanopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin.$h[electronic resource]
260 $c2016
520 $aCanopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (λET) and evaporation (λEE) flux components of the terrestrial latent heat flux (λE), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on λET and λEE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, λET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on λET during the wet (rainy) seasons where λET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80 % of the variances of λET. However, biophysical control on λET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65 % of the variances of λET, and indicates λET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between λET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales.
650 $aAmazonia
650 $aClimatologia
650 $aEvaporação
653 $aTranspiração
653 $aTrasnpiração
700 1 $aTREBS, I.
700 1 $aBOEGH, E.
700 1 $aGIUSTARINI, L.
700 1 $aSCHLERF, M.
700 1 $aDREWRY, D. T.
700 1 $aHOFFMANN, L.
700 1 $aRANDOW, C. von
700 1 $aKRUIJT, B.
700 1 $aARAUJO, A.
700 1 $aSALESKA, S.
700 1 $aEHLERINGER, J. R.
700 1 $aDOMINGUES, T. F.
700 1 $aOMETTO, J. P. H. B.
700 1 $aNOBRE, A. D.
700 1 $aMORAES, O. L. L. de
700 1 $aHAYEK, M.
700 1 $aMUNGER, J. W.
700 1 $aWOFSY, S. C.
773 $tHydrology and Earth System Science Discussions, 27 Jan. 2016.
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