@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 = "27 abr. 2024"
}