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@Article{RezendeAAMRTMO:2015:EvChDy,
               author = "Rezende, Luiz Felipe Campos de and Arenque, B. C. and Aidar, Saulo 
                         de Tarso and Moura, Magna Soelma Beserra de and von Randow, Celso 
                         and Tourigny, Etienne and Menezes, R. S. C. and Ometto, Jean 
                         Pierre Henry Balbaud",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Embrapa Tropical 
                         Semiarido} and {Embrapa Tropical Semiarido} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal do 
                         Pernambuco (UFPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Evolution and challenges of dynamic global vegetation models for 
                         some aspects of plant physiology and elevated atmospheric CO2",
              journal = "International Journal of Biometeorology (Print)",
                 year = "2015",
               volume = "59",
                pages = "1--11",
             keywords = "Acclimation, DGVMs, Global changes, Maximum velocity of 
                         carboxylation.",
             abstract = "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.",
                  doi = "10.1007/s00484-015-1087-6",
                  url = "http://dx.doi.org/10.1007/s00484-015-1087-6",
                 issn = "0020-7128",
                label = "lattes: 1325667605623244 8 RezendeAAMVTMO:2015:EvChDy",
             language = "en",
           targetfile = "1_rezende.pdf",
        urlaccessdate = "28 nov. 2020"
}


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