| Autor: |
Rezende LF; Earth System Science Center, National Institute for Space Research (INPE), Av. dos Astronautas, 1758 - Jd. da Granja, CEP: 12227-010, São José dos Campos, SP, Brazil. luiz.rezende@inpe.br., Arenque BC; Botany Department, University of São Paulo (USP), R. do Matão, 277, CEP: 05508-090, Butantã, SP, Brazil., Aidar ST; Embrapa Tropical Semiarid Brazilian Agricultural Research Corporation (EMBRAPA), Rodovia BR-428, Km 152, Zona Rural, CEP: 56302-970, Petrolina, PE, Brazil., Moura MS; Embrapa Tropical Semiarid Brazilian Agricultural Research Corporation (EMBRAPA), Rodovia BR-428, Km 152, Zona Rural, CEP: 56302-970, Petrolina, PE, Brazil., Von Randow C; Earth System Science Center, National Institute for Space Research (INPE), Av. dos Astronautas, 1758 - Jd. da Granja, CEP: 12227-010, São José dos Campos, SP, Brazil., Tourigny E; Earth System Science Center, National Institute for Space Research (INPE), Av. dos Astronautas, 1758 - Jd. da Granja, CEP: 12227-010, São José dos Campos, SP, Brazil., Menezes RS; Federal University of Pernambuco (UFPE), Av. Prof. Luis Freire, 1000, CEP: 50740-540, Cidade Universitária, Recife, PE, Brazil., Ometto JP; Earth System Science Center, National Institute for Space Research (INPE), Av. dos Astronautas, 1758 - Jd. da Granja, CEP: 12227-010, São José dos Campos, SP, Brazil. |
| Abstrakt: |
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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