Not exact matches
The
model enables to explore the effects of climate change on forestry
ecosystems under changed environmental conditions and to simulate different management scenarios and compare them.
Predictive
models that can forecast biodiversity decline
under anthropogenic climate change used to be too simplistic, as these ignored crucial biological mechanisms such as demography, dispersal, evolution, and species interactions (for instance species competition and
ecosystem dependence).
The project at the University of Texas at Austin will develop conceptual and numerical
models to analyze conditions
under which gas will be expelled from existing marine accumulations of gas hydrate into the ocean, which could potentially have a damaging effect to the
ecosystem.
Li J, Luo Y, Natali S, Schuur EAG, Xia J, Kowalczyk E, Wang Y (2014)
Modeling permafrost thaw and
ecosystem carbon cycle
under annual and seasonal warming at an Arctic tundra site in Alaska.
Arctic
Ecosystems and their Services
Under Changing Climate: Predictive -
Modeling Assessment [link]
Varpe, A. Yool, and Y.J. Lee,
Ecosystem model intercomparison of
under - ice and total primary production in the Arctic Ocean, J. Geophys.
Here we use a set of integrative approaches that combine metatranscriptomes, biochemical data, cellular physiology and emergent phytoplankton growth strategies in a global
ecosystems model, to show that temperature significantly affects eukaryotic phytoplankton metabolism with consequences for biogeochemical cycling
under global warming.