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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
05/02/2016 |
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Data da última atualização: |
24/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
REZENDE, L. F. C.; ARENQUE, B. C.; AIDAR, S. de T.; MOURA, M. S. B. de; RANDOW, C. V.; TOURIGNY, E.; MENEZES, R. S. C.; OMETTO, J. P. H. B. |
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Afiliação: |
L. F. C. REZENDE, INPE; B. C. ARENQUE, USP; SAULO DE TARSO AIDAR, CPATSA; MAGNA SOELMA BESERRA DE MOURA, CPATSA; C. VON RANDOW, INPE; E. TOURIGNY, INPE; R. S. C. MENEZES, UFPE; J. P. H. B. OMETTO, INPE. |
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Título: |
Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
International Journal of Biometeorology, 2015. |
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Idioma: |
Inglês |
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Conteúdo: |
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, water, CO2, and momentum between the terrestrial surface and the atmosphere, biogeochemical cycles, carbon assimilation by vegetation, phenology, and land use change in scenarios of varying atmospheric CO2 concentrations. DGVMs increase the complexity and the Earth system representation when they are coupled with atmospheric global circulation models (AGCMs) or climate models. However, plant physiological processes are still a major source of uncertainty in DGVMs. The maximum velocity of carboxylation (Vcmax), for example, has a direct impact over productivity in the models. This parameter is often underestimated or imprecisely defined for the various plant functional types (PFTs) and ecosystems. Vcmax is directly related to photosynthesis acclimation (loss of response to elevated CO2), a widely known phenomenon that usually occurs when plants are subjected to elevated atmospheric CO2 and might affect productivity estimation in DGVMs. Despite this, current models have improved substantially, compared to earlier models which had a rudimentary and very simple representation of vegetation-atmosphere interactions. In this paper, we describe this evolution through generations of models and the main events that contributed to their improvements until the current state-of-the-art class of models. Also, we describe some main challenges for further improvements to DGVMs. |
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Palavras-Chave: |
CO2; Distribuição de carbono; GVMs; Mudanças Climáticas; Mudanças globais; Velocidade máxima de carboxilação. |
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Thesagro: |
Aclimatação; Carbono; Fisiologia vegetal; Planta; Vegetação. |
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Thesaurus Nal: |
Plant physiology. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02516naa a2200349 a 4500
001 2036304
005 2016-03-24
008 2015 bl uuuu u00u1 u #d
100 1 $aREZENDE, L. F. C.
245 $aEvolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2.$h[electronic resource]
260 $c2015
520 $aDynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, water, CO2, and momentum between the terrestrial surface and the atmosphere, biogeochemical cycles, carbon assimilation by vegetation, phenology, and land use change in scenarios of varying atmospheric CO2 concentrations. DGVMs increase the complexity and the Earth system representation when they are coupled with atmospheric global circulation models (AGCMs) or climate models. However, plant physiological processes are still a major source of uncertainty in DGVMs. The maximum velocity of carboxylation (Vcmax), for example, has a direct impact over productivity in the models. This parameter is often underestimated or imprecisely defined for the various plant functional types (PFTs) and ecosystems. Vcmax is directly related to photosynthesis acclimation (loss of response to elevated CO2), a widely known phenomenon that usually occurs when plants are subjected to elevated atmospheric CO2 and might affect productivity estimation in DGVMs. Despite this, current models have improved substantially, compared to earlier models which had a rudimentary and very simple representation of vegetation-atmosphere interactions. In this paper, we describe this evolution through generations of models and the main events that contributed to their improvements until the current state-of-the-art class of models. Also, we describe some main challenges for further improvements to DGVMs.
650 $aPlant physiology
650 $aAclimatação
650 $aCarbono
650 $aFisiologia vegetal
650 $aPlanta
650 $aVegetação
653 $aCO2
653 $aDistribuição de carbono
653 $aGVMs
653 $aMudanças Climáticas
653 $aMudanças globais
653 $aVelocidade máxima de carboxilação
700 1 $aARENQUE, B. C.
700 1 $aAIDAR, S. de T.
700 1 $aMOURA, M. S. B. de
700 1 $aRANDOW, C. V.
700 1 $aTOURIGNY, E.
700 1 $aMENEZES, R. S. C.
700 1 $aOMETTO, J. P. H. B.
773 $tInternational Journal of Biometeorology, 2015.
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Embrapa Semiárido (CPATSA) |
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| 1. |  | FALLIERI, J.; SILVA, A. F. da; CASTRO, C. S. de; SOUZA, J. A. de; CARDOSO, J. L.; MOLICA, V de P.; COSTA, E. G. Novas variedade de algodão para Minas Gerais. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 8, n. 8, p. 257-261, 1973. (Agronomia). Título em inglês: Cotton varieties for the state of Minas Gerais.| Biblioteca(s): Embrapa Unidades Centrais. |
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