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Registros recuperados : 6 | |
1. | | REZENDE, L. F. C. de; ZUCCARI, S. N.; SILVA, E. V. da C. e.; REZENDE, C. R. L. de; NASSER, L. F. T.; ABREU, U. G. P. de. Acetato de triancinolona como pré-indutor do parto de receptoras de embrião nelore produzidos in vitro. Ciência Animal Brasileira, Goiás, v.10, n.1, p.59-67, jan./mar.2009. Biblioteca(s): Embrapa Pantanal. |
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2. | | REZENDE, L. F. C. de; ARENQUE, B.; OMETTO, J.; RANDOW, C. von; MOURA, M. S. B. de; AIDAR, S. de T.; SOUZA, L. S. B. de. Study of scenarios and answers from Caatinga vegetation in the face of increased concentration of CO2 in the atmosphere. In: INTERNATIONAL SYMPOSIUM ON CLIMATE CHANGE, IMPACTS AND VULNERABILITIES IN BRAZIL: PREPARING THE BRAZILIAN NORTHEAST FOR THE FUTURE, 2012, Natal. Abstracts... Natal: UFRN: IBD, 2012. Biblioteca(s): Embrapa Semiárido. |
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3. | | 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. Is the maximum velocity of carboxylation (Vcmax) well adjusted for deciduous shrubs in DGVMs: a case study for the Caatinga Biome in Brazil. Modeling Earth Systems and Environment, v. 2, p. 42-47, 2016. Biblioteca(s): Embrapa Semiárido. |
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4. | | REZENDE, L. F. C.; ARENQUE-MUSA, B. C.; MOURA, M. S. B. de; AIDAR, S. de T.; RANDOW, C. V.; MENEZES, R. S. C.; OMETTO, J. P. B. H. Calibration of the maximum carboxylation velocity (Vcmax) using data mining techniques and ecophysiological data from the Brazilian Semiarid region, for use in Dynamic Global Vegetation Models. Brazilian Journal of Biology, v. 76, n. 2, p. 341-351, 2016. Biblioteca(s): Embrapa Semiárido. |
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6. | | 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. Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2. International Journal of Biometeorology, v. 60, p. 945-955, 2016. Biblioteca(s): Embrapa Semiárido. |
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Registros recuperados : 6 | |
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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. |
Registro Completo
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
05/02/2016 |
Data da última atualização: |
24/03/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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. |
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. |
Título: |
Evolution and challenges of dynamic global vegetation models for some aspects of plant physiology and elevated atmospheric CO2. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
International Journal of Biometeorology, 2015. |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
CO2; Distribuição de carbono; GVMs; Mudanças Climáticas; Mudanças globais; Velocidade máxima de carboxilação. |
Thesagro: |
Aclimatação; Carbono; Fisiologia vegetal; Planta; Vegetação. |
Thesaurus NAL: |
Plant physiology. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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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