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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
30/09/2014 |
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Data da última atualização: |
19/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CHRISTOFFERSEN, B. O.; RESTREPO-COUPE, N.; ARAIN, M. A.; BAKER, I. T.; CESTARO, B. P.; CIAIS, P.; FISHER, J. B.; GALBRAITH, D.; GUAN, X.; GULDEN, L.; HURK, B. van den; ICHII, K.; IMBUZEIRO, H.; JAIN, A.; LEVINE, N.; MIGUEZ-MACHO, G.; POULTER, B.; ROBERTI, D. R.; SAKAGUCHI, K.; SAHOO, A.; SCHAEFER, K.; SHI, M.; VERBEECK, H.; YANG, Z.-L.; ARAUJO, A. C.; KRUIJT, B.; MANZI, A. O.; ROCHA, H. R. da; RANDOW, C. von; MUZA, M. N.; BORAK, J.; COSTA, M. H.; GONÇALVES, L. G. G. de; ZENG, X.; SALESKA, S. R. |
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Afiliação: |
Bradley O. Christoffersen, University of Arizona; Natalia Restrepo-Coupe, University of Arizona / University of Technology, Sydney, Australia; M Altaf Arain, McMaster University; Ian T. Baker, Colorado State University; Bruno P. Cestaro, USP; Phillippe Ciais, LSCE CEA-CNRS-UVSQ, Orme des Merisiers; Joshua B. Fisher, California Institute of Technology; David Galbraith, University of Oxford / University of Leeds; Xiaodan Guan, The University of Texas at Austin; Lindsey Gulden, The University of Texas at Austin / ExxonMobil Upstream Research Company; Bart van den Hurk, Royal Netherlands Meteorological Institute (KNMI); Kazuhito Ichii, Fukushima University; Hewlley Imbuzeiro, UFV; Atul Jain, University of Illinois at Urbana-Champaign; Naomi Levine, Harvard University; Gonzalo Miguez-Macho, Universidade de Santiago de Compostela; Ben Poulter, Swiss Federal Research Institute WSL; Debora R. Roberti, UFSM; Koichi Sakaguchi, University of Arizona; Alok Sahoo, Center for Research on Environment and Water, IGES; Kevin Schaefer, University of Colorado at Boulder; Mingjie Shi, The University of Texas at Austin; Hans Verbeeck, Ghent University; Zong-Liang Yang, The University of Texas at Austin; ALESSANDRO CARIOCA DE ARAUJO, CPATU; Bart Kruijt, Wageningen University & Research Center; Antonio O. Manzi, INPA; Humberto R. da Rocha, USP; Celso von Randow, INPE; Michel N. Muza, University of Maryland, College Park, Hydrological Sciences Laboratory, NASA Goddard Space Flight Center; Jordan Borak, INPE; Marcos H. Costa, UFV; Luis Gustavo Gonçalves de Gonçalves, University of Maryland, College Park, Hydrological Sciences Laboratory, NASA Goddard Space Flight Center / INPE; Xubin Zeng, University of Arizona; Scott R. Saleska, University of Arizona. |
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Título: |
Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 191, p. 33-50, June 2014. |
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DOI: |
10.1016/j.agrformet.2014.02.008 |
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Idioma: |
Inglês |
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Conteúdo: |
Evapotranspiration (E) in the Amazon connects forest function and regional climate via its role in precipitation recycling However, the mechanisms regulating water supply to vegetation and its demand for water remain poorly understood, especially during periods of seasonal water deficits In this study, we address two main questions: First, how do mechanisms of water supply (indicated by rooting depth and groundwater) and vegetation water demand (indicated by stomatal conductance and intrinsic water use efficiency) control evapotranspiration (E) along broad gradients of climate and vegetation from equatorial Amazonia to Cerrado, and second, how do these inferred mechanisms of supply and demand compare to those employed by a suite of ecosystem models? We used a network of eddy covariance towers in Brazil coupled with ancillary measurements to address these questions With respect to the magnitude and seasonality of E, models have much improved in equatorial tropical forests by eliminating most dry season water limitation, diverge in performance in transitional forests where seasonal water deficits are greater, and mostly capture the observed seasonal depressions in E at Cerrado However, many models depended universally on either deep roots or groundwater to mitigate dry season water deficits, the relative importance of which we found does not vary as a simple function of climate or vegetation In addition, canopy stomatal conductance (gs) regulates dry season vegetation demand for water at all except the wettest sites even as the seasonal cycle of E follows that of net radiation In contrast, some models simulated no seasonality in gs, even while matching the observed seasonal cycle of E. We suggest that canopy dynamics mediated by leaf phenology may play a significant role in such seasonality, a process poorly represented in models Model bias in gs and E, in turn, was related to biases arising from the simulated light response (gross primary productivity, GPP) or the intrinsic water use efficiency of photosynthesis (iWUE). We identified deficiencies in models which would not otherwise be apparent based on a simple comparison of simulated and observed rates of E. While some deficiencies can be remedied by parameter tuning, in most models they highlight the need for continued process development of belowground hydrology and in particular, the biological processes of root dynamics and leaf phenology, which via their controls on E, mediate vegetation-climate feedbacks in the tropics. MenosEvapotranspiration (E) in the Amazon connects forest function and regional climate via its role in precipitation recycling However, the mechanisms regulating water supply to vegetation and its demand for water remain poorly understood, especially during periods of seasonal water deficits In this study, we address two main questions: First, how do mechanisms of water supply (indicated by rooting depth and groundwater) and vegetation water demand (indicated by stomatal conductance and intrinsic water use efficiency) control evapotranspiration (E) along broad gradients of climate and vegetation from equatorial Amazonia to Cerrado, and second, how do these inferred mechanisms of supply and demand compare to those employed by a suite of ecosystem models? We used a network of eddy covariance towers in Brazil coupled with ancillary measurements to address these questions With respect to the magnitude and seasonality of E, models have much improved in equatorial tropical forests by eliminating most dry season water limitation, diverge in performance in transitional forests where seasonal water deficits are greater, and mostly capture the observed seasonal depressions in E at Cerrado However, many models depended universally on either deep roots or groundwater to mitigate dry season water deficits, the relative importance of which we found does not vary as a simple function of climate or vegetation In addition, canopy stomatal conductance (gs) regulates dry season vegetation demand f... Mostrar Tudo |
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Thesagro: |
Água; Cerrado; Evapotranspiração; Floresta Tropical. |
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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 04155naa a2200601 a 4500
001 1996137
005 2022-10-19
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1016/j.agrformet.2014.02.008$2DOI
100 1 $aCHRISTOFFERSEN, B. O.
245 $aMechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado.$h[electronic resource]
260 $c2014
520 $aEvapotranspiration (E) in the Amazon connects forest function and regional climate via its role in precipitation recycling However, the mechanisms regulating water supply to vegetation and its demand for water remain poorly understood, especially during periods of seasonal water deficits In this study, we address two main questions: First, how do mechanisms of water supply (indicated by rooting depth and groundwater) and vegetation water demand (indicated by stomatal conductance and intrinsic water use efficiency) control evapotranspiration (E) along broad gradients of climate and vegetation from equatorial Amazonia to Cerrado, and second, how do these inferred mechanisms of supply and demand compare to those employed by a suite of ecosystem models? We used a network of eddy covariance towers in Brazil coupled with ancillary measurements to address these questions With respect to the magnitude and seasonality of E, models have much improved in equatorial tropical forests by eliminating most dry season water limitation, diverge in performance in transitional forests where seasonal water deficits are greater, and mostly capture the observed seasonal depressions in E at Cerrado However, many models depended universally on either deep roots or groundwater to mitigate dry season water deficits, the relative importance of which we found does not vary as a simple function of climate or vegetation In addition, canopy stomatal conductance (gs) regulates dry season vegetation demand for water at all except the wettest sites even as the seasonal cycle of E follows that of net radiation In contrast, some models simulated no seasonality in gs, even while matching the observed seasonal cycle of E. We suggest that canopy dynamics mediated by leaf phenology may play a significant role in such seasonality, a process poorly represented in models Model bias in gs and E, in turn, was related to biases arising from the simulated light response (gross primary productivity, GPP) or the intrinsic water use efficiency of photosynthesis (iWUE). We identified deficiencies in models which would not otherwise be apparent based on a simple comparison of simulated and observed rates of E. While some deficiencies can be remedied by parameter tuning, in most models they highlight the need for continued process development of belowground hydrology and in particular, the biological processes of root dynamics and leaf phenology, which via their controls on E, mediate vegetation-climate feedbacks in the tropics.
650 $aAmazonia
650 $aÁgua
650 $aCerrado
650 $aEvapotranspiração
650 $aFloresta Tropical
700 1 $aRESTREPO-COUPE, N.
700 1 $aARAIN, M. A.
700 1 $aBAKER, I. T.
700 1 $aCESTARO, B. P.
700 1 $aCIAIS, P.
700 1 $aFISHER, J. B.
700 1 $aGALBRAITH, D.
700 1 $aGUAN, X.
700 1 $aGULDEN, L.
700 1 $aHURK, B. van den
700 1 $aICHII, K.
700 1 $aIMBUZEIRO, H.
700 1 $aJAIN, A.
700 1 $aLEVINE, N.
700 1 $aMIGUEZ-MACHO, G.
700 1 $aPOULTER, B.
700 1 $aROBERTI, D. R.
700 1 $aSAKAGUCHI, K.
700 1 $aSAHOO, A.
700 1 $aSCHAEFER, K.
700 1 $aSHI, M.
700 1 $aVERBEECK, H.
700 1 $aYANG, Z.-L.
700 1 $aARAUJO, A. C.
700 1 $aKRUIJT, B.
700 1 $aMANZI, A. O.
700 1 $aROCHA, H. R. da
700 1 $aRANDOW, C. von
700 1 $aMUZA, M. N.
700 1 $aBORAK, J.
700 1 $aCOSTA, M. H.
700 1 $aGONÇALVES, L. G. G. de
700 1 $aZENG, X.
700 1 $aSALESKA, S. R.
773 $tAgricultural and Forest Meteorology$gv. 191, p. 33-50, June 2014.
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Embrapa Amazônia Oriental (CPATU) |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
|
Data corrente: |
13/06/2016 |
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Data da última atualização: |
16/03/2023 |
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Tipo da produção científica: |
Autoria/Organização/Edição de Livros |
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Autoria: |
FERREIRA, R. de P.; BASIGALUP, D. H.; GIECO, J. O.; SILVA, A. de C.; PEREIRA, A. V.; SEBASTIÁN ODORIZZI, A.; CRUZ, C. D.; VASCONCELOS, E. S. de; MANAMI, E. C.; FAVA, F. D.; BHERING, L. L.; WITTMANN, M. T. S.; KOPP, M. M.; DALL'AGNOL, M.; ESTELA RODRÍGUEZ, N.; FABIANA EROLES, S.; BUENO, V. H. P. (ed.). |
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Afiliação: |
REINALDO DE PAULA FERREIRA, CPPSE; DANIEL HORACIO BASIGALUP, Instituo Nacional de Tecnología Agropecuaria; JORGE OMAR GIECO, Instituto Nacional de Tecnología Agropecuaria; ALESSANDRA DE CARVALHO SILVA, CNPAB; ANTONIO VANDER PEREIRA, CNPGL; Ariel Sebastián Odorizzi, NATIONAL INSTITUTE FOR AGRICULTURAL TECHNOLOGY; COSME DAMIÃO CRUZ, UFV; EDMAR SOARES DE VASCONCELOS, UEM; EVA CÉLIA MANAMI, UCB; FERNANDO DANIEL FAVA, NATIONAL INSTITUTE FOR AGRICULTURAL TECHNOLOGY; LEONARDO LOPES BHERING, UFV; MARIA TERESA SCHIFINO WITTMANN, UFRGS; MAURICIO MARINI KOPP, CPPSUL; MIGUEL DALL'AGNOL, UFRGS; NORA ESTELA RODRÍGUEZ, NATIONAL INSTITUTE FOR AGRICULTURAL TECHNOLOGY; SANDRA FABIANA EROLES, NATIONAL INSTITUTE FOR AGRICULTURAL TECHNOLOGY; VANDA HELENA PAES BUENO, UFLA. |
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Título: |
Genetic improvement of alfafa. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Brasília, DF: Embrapa, 2015. |
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Páginas: |
261 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Alfafa is one of the most important forage plants because it combines special characteristics, such as high productivity, high protein content, good palatability, high digestibility, good capacity of fixing atmospheric nitrogen in the soil and low seasonality in forage production. |
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Palavras-Chave: |
Citogenética da alfafa; Doenças da alfafa; Morfologia alfafa; Resistência à doenças; Resistência à pragas. |
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Thesagro: |
Alfafa. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 01324nam a2200385 a 4500
001 2046829
005 2023-03-16
008 2015 bl uuuu 00u1 u #d
100 1 $aFERREIRA, R. de P.
245 $aGenetic improvement of alfafa.$h[electronic resource]
260 $aBrasília, DF: Embrapa$c2015
300 $a261 p.
520 $aAlfafa is one of the most important forage plants because it combines special characteristics, such as high productivity, high protein content, good palatability, high digestibility, good capacity of fixing atmospheric nitrogen in the soil and low seasonality in forage production.
650 $aAlfafa
653 $aCitogenética da alfafa
653 $aDoenças da alfafa
653 $aMorfologia alfafa
653 $aResistência à doenças
653 $aResistência à pragas
700 1 $aBASIGALUP, D. H.
700 1 $aGIECO, J. O.
700 1 $aSILVA, A. de C.
700 1 $aPEREIRA, A. V.
700 1 $aSEBASTIÁN ODORIZZI, A.
700 1 $aCRUZ, C. D.
700 1 $aVASCONCELOS, E. S. de
700 1 $aMANAMI, E. C.
700 1 $aFAVA, F. D.
700 1 $aBHERING, L. L.
700 1 $aWITTMANN, M. T. S.
700 1 $aKOPP, M. M.
700 1 $aDALL'AGNOL, M.
700 1 $aESTELA RODRÍGUEZ, N.
700 1 $aFABIANA EROLES, S.
700 1 $aBUENO, V. H. P.
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