Peter Cox is the originator / author of the Triffid dynamic global
vegetation model which was used to predict dieback of the Amazonian rain forest by 2050 and as a consequence a strong positive climate - carbon cycle feedback (i.e., an acceleration of global warming) with a resultant increase in global mean surface temperature by 8 deg.
Not exact matches
«This provides us with a comprehensive three - dimensional digital
model of the landscape,
which enables a precise analysis of the
vegetation structure,» says Jussi Baade, associate professor of Physical Geography at the University of Jena.
Pinyon jay: flight to nowhere Johnson and his team used climate
models to study the relationship between each target species and the
vegetation it uses for food resources,
which is affected by shifts in temperature and precipitation.
Several mathematical
models have attempted to address banded
vegetation in semi-arid environments, of
which the oldest and most established is a system of partial differential equations, called the Klausmeier
model.
The Klausmeier
model is based on a water redistribution hypothesis,
which assumes that rain falling on bare ground infiltrates only slightly; most of it runs downhill in the direction of the next
vegetation band.
This technique lays the foundation for much improved parameterizations of climate change and global
vegetation models,
which will tell what the future holds in store.
They got 10 pages in Science,
which is a lot, but in it they cover radiation balance, 1D and 3D
modelling, climate sensitivity, the main feedbacks (water vapour, lapse rate, clouds, ice - and
vegetation albedo); solar and volcanic forcing; the uncertainties of aerosol forcings; and ocean heat uptake.
We ought to be able to
model which vegetation changes yield the most bang for the buck, so to speak, for climate change mitigation.
They got 10 pages in Science,
which is a lot, but in it they cover radiation balance, 1D and 3D
modelling, climate sensitivity, the main feedbacks (water vapour, lapse rate, clouds, ice - and
vegetation albedo); solar and volcanic forcing; the uncertainties of aerosol forcings; and ocean heat uptake.
As the temporal scale is extended, the development of dynamic
vegetation models,
which respond to climate and human land use as well as other changes, is a central issue.
Well it depends on whether you are talking about Climate Sensitivity (Charney sensitivity...
which is
modelled) or Earth System Sensitivity (where things like ice sheet extent,
vegetation cover etc are regarded as able to respond quickly to warming).
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.
Changes in ocean chemistry,
which can be described through the Revelle buffer factor [1], limit oceanic removal of CO2 [2], while the potential for terrestrial
vegetation to take up CO2 is also predicted by some
models to fall as the climate warms [3], although the size of this feedback is uncertain [4].
Nine global
vegetation models (GVMs)(meaning
vegetation processes are simulated, but not necessarily
vegetation dynamics), four of
which were DGVMs, were used in the Coupled Climate — Carbon Cycle
Model Intercomparison Project (3).
«Most Earth system
models don't predict this,
which means they overestimate the amount of carbon that high - latitude
vegetation will store in the future,» he adds.
Using additional simulations with each GVM in
which the CO2 experienced by the
vegetation was held constant, these results were further analyzed by fitting to each GVM globally, a simple two - parameter
model for the relationship between NPP and CO2 [i.e.,, where is the change in CO2], combined with linear
models for the relationships between NPP and temperature (i.e., MLT) and residence time and temperature (i.e., MLT).
To conduct their study, the researchers used a spatial
model of marsh morphodynamics into
which they incorporated recently published observations from field experiments on marsh
vegetation response to varying levels of atmospheric carbon dioxide.
I wanted to have the land be somewhat realistic, so instead of using a completely idealized land surface I wanted to use the community land
model (CLM) component of CESM,
which calculates surface sensible and latent heat fluxes based on soil and
vegetation types.
[
Models predict that] water - limited
vegetation responds promptly to initial drought by reducing transpiration (and photosynthesis),
which in turn exacerbates the drought by interrupting the supply of water that would otherwise contribute to the recycled component of precipitation.
Hence all the radiative - convective «
models» since Manabe (1967)
which assume a «radiative cooling of the surface» and forget evaporation are baseless: 71 % of the surface of globe is covered by oceans, and an additional 20 % of the surface covered by
vegetation, driving evapotranspiration.
Thirdly, Earth system
models have begun to incorporate more realistic and dynamic
vegetation components,
which quantify positive and negative biotic feedbacks by coupling a dynamic biosphere to atmospheric circulations with a focus on the global carbon cycle (Friedlingstein et al., 2003, 2006; Cox et al., 2004, 2006).
New efforts are needed in the development of
models,
which successfully represent the space - time dynamics interaction between soil, climate and
vegetation.
However,
models have a tendency to overestimate the mid-continental drying in Eurasia,
which is further amplified when
vegetation feedbacks are included (Wohlfahrt et al., 2004).