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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: |
03/12/2013 |
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Data da última atualização: |
20/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RANDOW, C. von; ZERI, M.; RESTREPO-COUPE, N.; MUZA, M. N.; GONÇALVES, L. G. G. de; COSTA, M. H.; ARAUJO, A. C.; MANZI, A. O.; ROCHA, H. R. da; SALESKA, S. R.; ARAIN, M. A.; BAKER, I. T.; CESTARO, B. P.; CHRISTOFFERSEN, B.; CIAIS, P.; FISHER, J. B.; GALBRAITH, D.; GUAN, X.; HURK, B. van den; ICHII, K.; IMBUZEIRO, H.; JAIN, A.; LEVINE, N.; MIGUEZ-MACHO, G.; POULTER, B.; ROBERTI, D. R.; SAHOO, A.; SCHAEFER, K.; SHI, M.; TIAN, H.; VERBEECK, H.; YANG, Z.-L. |
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Afiliação: |
CELSO VON RANDOW, INPE; MARCELO ZERI, INPE; NATALIA RESTREPO-COUPE, University of Technology; MICHEL N. MUZA, Instituto Federal de Santa Catarina; LUIS GUSTAVO G. DE GONÇALVES, INPE; MARCOS H. COSTA, UFV; ALESSANDRO CARIOCA DE ARAUJO, CPATU; ANTONIO O. MANZI, INPA; HUMBERTO R. DA ROCHA, USP; SCOTT R. SALESKA, UNIVERSITY OF ARIZONA; M. ALAF ARAIN, McMaster University; IAN T. BAKER, COLORADO STATE UNIVERSITY; BRUNO P. CESTARO, USP; BRADLEY CHRISTOFFERSEN, University of Arizona; PHILIPPE CIAIS, CEA Orme des Merisiers; JOSHUA B. FISHER, California Institute of Technology; DAVID GALBRAITH, UNIVERSITY OF LEEDS; XIAODAN GUAN, The University of Texas at Austin; BART VAN DEN HURK, Royal Netherlands Meteorological Institute; KAZUHITO ICHII, Fukushima University; HEWLLEY IMBUZEIRO, UFV; ATUL JAIN, University of Illinois at Urbana-Champaign; NAOMI LEVINE, HARVARD UNIVERSITY; GONZALO MIGUEZ-MACHO, University of Santiago de Compostela; BEN POULTER, CEA Orme des Merisiers; DEBORA R. ROBERTI, UFSM; ALOK SAHOO, Princeton University; KEVIN SCHAEFER, University of Colorado at Boulder; MINGJIE SHI, The University of Texas at Austin; HANQIN TIAN, Auburn University; HANS VERBEECK, Ghent University; ZONG-LIANG YANG, The University of Texas at Austin. |
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Título: |
Inter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, v. 182-183, p. 144-155, Dec. 2013. |
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DOI: |
http://dx.doi.org/10.1016/j.agrformet.2013.05.015 |
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Idioma: |
Inglês |
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Conteúdo: |
This study analyzes the inter-annual variability (IAV) of simulations of 21 different land surface model formulations, driven by meteorological conditions measured at 8 flux towers, located in rain forest, forest-savanna ecotone and pasture sites in Amazonia, and one in savanna site in Southeastern Brazil. Annual totals of net ecosystem exchange (NEE) of carbon and evapotranspiration (ET), measured and simulated by each model for each site-year, were compared in terms of year-to-year variability and possible relation to climate drivers. Results have shown that most of models simulations for annual totals of NEE and ET, and IAV of these fluxes, are frequently different from measurements. The average of the model simulations of annual fluxes tend to respond to climatic drivers similarly to the observations, but with noticeable discrepancies. Annual measurements of NEE are negatively correlated to annual rainfall in the forest sites group. Although the ensemble of all models yields a similar result, only three model formulations reproduce a significant negative correlation of simulated NEE with rainfall. For the IAV of ET, tower measurements are controlled by annual variations of radiation and this feature is captured by the ensemble of the models, both at individual sites and when all forest sites are grouped. However, simulated ET values are also significantly correlated to the amount of precipitation in many models and in the model ensemble, while there is no significant correlation in the observations. In general, the surface models are able to reproduce the responses of fluxes to climatic drivers, but improvements are still needed to better capture their inter-annual variability. MenosThis study analyzes the inter-annual variability (IAV) of simulations of 21 different land surface model formulations, driven by meteorological conditions measured at 8 flux towers, located in rain forest, forest-savanna ecotone and pasture sites in Amazonia, and one in savanna site in Southeastern Brazil. Annual totals of net ecosystem exchange (NEE) of carbon and evapotranspiration (ET), measured and simulated by each model for each site-year, were compared in terms of year-to-year variability and possible relation to climate drivers. Results have shown that most of models simulations for annual totals of NEE and ET, and IAV of these fluxes, are frequently different from measurements. The average of the model simulations of annual fluxes tend to respond to climatic drivers similarly to the observations, but with noticeable discrepancies. Annual measurements of NEE are negatively correlated to annual rainfall in the forest sites group. Although the ensemble of all models yields a similar result, only three model formulations reproduce a significant negative correlation of simulated NEE with rainfall. For the IAV of ET, tower measurements are controlled by annual variations of radiation and this feature is captured by the ensemble of the models, both at individual sites and when all forest sites are grouped. However, simulated ET values are also significantly correlated to the amount of precipitation in many models and in the model ensemble, while there is no significant cor... Mostrar Tudo |
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Palavras-Chave: |
Fluxo de carbono; Modelagem. |
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Thesagro: |
Cerrado; Floresta; Pastagem. |
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Thesaurus Nal: |
Amazonia. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03311naa a2200577 a 4500
001 1972830
005 2022-10-20
008 2013 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.agrformet.2013.05.015$2DOI
100 1 $aRANDOW, C. von
245 $aInter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models.$h[electronic resource]
260 $c2013
520 $aThis study analyzes the inter-annual variability (IAV) of simulations of 21 different land surface model formulations, driven by meteorological conditions measured at 8 flux towers, located in rain forest, forest-savanna ecotone and pasture sites in Amazonia, and one in savanna site in Southeastern Brazil. Annual totals of net ecosystem exchange (NEE) of carbon and evapotranspiration (ET), measured and simulated by each model for each site-year, were compared in terms of year-to-year variability and possible relation to climate drivers. Results have shown that most of models simulations for annual totals of NEE and ET, and IAV of these fluxes, are frequently different from measurements. The average of the model simulations of annual fluxes tend to respond to climatic drivers similarly to the observations, but with noticeable discrepancies. Annual measurements of NEE are negatively correlated to annual rainfall in the forest sites group. Although the ensemble of all models yields a similar result, only three model formulations reproduce a significant negative correlation of simulated NEE with rainfall. For the IAV of ET, tower measurements are controlled by annual variations of radiation and this feature is captured by the ensemble of the models, both at individual sites and when all forest sites are grouped. However, simulated ET values are also significantly correlated to the amount of precipitation in many models and in the model ensemble, while there is no significant correlation in the observations. In general, the surface models are able to reproduce the responses of fluxes to climatic drivers, but improvements are still needed to better capture their inter-annual variability.
650 $aAmazonia
650 $aCerrado
650 $aFloresta
650 $aPastagem
653 $aFluxo de carbono
653 $aModelagem
700 1 $aZERI, M.
700 1 $aRESTREPO-COUPE, N.
700 1 $aMUZA, M. N.
700 1 $aGONÇALVES, L. G. G. de
700 1 $aCOSTA, M. H.
700 1 $aARAUJO, A. C.
700 1 $aMANZI, A. O.
700 1 $aROCHA, H. R. da
700 1 $aSALESKA, S. R.
700 1 $aARAIN, M. A.
700 1 $aBAKER, I. T.
700 1 $aCESTARO, B. P.
700 1 $aCHRISTOFFERSEN, B.
700 1 $aCIAIS, P.
700 1 $aFISHER, J. B.
700 1 $aGALBRAITH, D.
700 1 $aGUAN, X.
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 $aSAHOO, A.
700 1 $aSCHAEFER, K.
700 1 $aSHI, M.
700 1 $aTIAN, H.
700 1 $aVERBEECK, H.
700 1 $aYANG, Z.-L.
773 $tAgricultural and Forest Meteorology$gv. 182-183, p. 144-155, Dec. 2013.
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