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Regional Dynamic Vegetation Modeling for the Color

PI: Kirsten Ironside
Institution: Northern Arizona University
Abstract:
This project brings together experts from a variety of backgrounds in climate and climate change modeling, ecosystem research, past vegetation change, inventory and monitoring, and ecosystem modeling. This unique integration of interdisciplinary researchers provides a great potential to better understand and predict the impacts of climate change on natural systems. This regional modeling effort includes all the dynamic components important to controlling a species distribution; it is a key step for moving modeling forward. SIMPPLLE models and other landscape process models have been developed for several other areas in the U.S. but many of them have not yet incorporated GCM output. The intention is to improve modeling for climate change impacts by merging biogeographical/habitat models with dynamic vegetation modeling and by merging climate modeling with ecosystem modeling.
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