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@Article{RezendeAAMVTMO:2016:EvChDy,
               author = "Rezende, Luiz Felipe Campos de and Arenque, B. C. and Aidar, S. T. 
                         and Moura, M. S. B. 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 {Empresa Brasileira de 
                         Pesquisa Agropecu{\'a}ria (EMBRAPA)} and {Empresa Brasileira de 
                         Pesquisa Agropecu{\'a}ria (EMBRAPA)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade Federal de 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",
                 year = "2016",
               volume = "60",
               number = "7",
                pages = "945--955",
                month = "July",
             keywords = "Global changes, DGVMs, Maximum velocity of carboxylation, 
                         Acclimation.",
             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 (Vc(max)), 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. Vc(max) 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 = "self-archiving-INPE-MCTI-GOV-BR",
             language = "en",
        urlaccessdate = "29 nov. 2020"
}


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