Not exact matches
Techniques from statistical mechanics have been wedded to biogeochemistry and population ecology, yielding
new vegetation dynamic
models.
A
new study explores the relative control of
vegetation life cycles and meteorology in the climate -
model context, and its implications for
model development and complexity decisions.
A European team of ecologists around Stefan Dullinger from the Department of Conservation Biology,
Vegetation and Landscape Ecology of the University of Vienna presents a
new modeling tool to predict migration of mountain plants which explicitly takes population dynamic processes into account.
Here seven GVMs are used to investigate possible responses of global natural terrestrial
vegetation to a major
new set of future climate and atmospheric CO2 projections generated as part of the fifth phase of the Coupled
Model Intercomparison Project (CMIP5)(6), the primary climate
modeling contribution to the latest Intergovernmental Panel on Climate Change assessment.
As a result, the
new model found that the increase in carbon uptake by more
vegetation will be overshadowed by a much larger amount of carbon released into the atmosphere.
New efforts are needed in the development of
models, which successfully represent the space - time dynamics interaction between soil, climate and
vegetation.
Notable changes include the following: the
model top is now above the stratopause, the number of vertical layers has increased, a
new cloud microphysical scheme is used,
vegetation biophysics now incorporates a sensitivity to humidity, atmospheric turbulence is calculated over the whole column, and
new land snow and lake schemes are introduced.
There are a couple of lines in IPCC Working Group I («
New coupled climate - carbon
models (Betts et al., 2004; Huntingford et al., 2004) demonstrate the possibility of large feedbacks between future climate change and
vegetation change, discussed further in Section 7.3.5 (i.e., a die back of Amazon
vegetation and reductions in Amazon precipitation).»).