Track: Ecology, Conservation, and Archaeology
Using GIS and Individual-Based Modeling To Predict Global Change Effects on Trout in the Southern Appalachians
Daniel A. LevineMark Clark , Kenny Rose
An individual-based model of brook and rainbow trout was combined with an ArcInfo database of southern Appalachian watersheds to assess potential global change effects on trout populations. The model provides a detailed representation of the biology of the species, following individual fish through their complete life cycle in a spatially explicit environment. The GIS database allows the model to be run on a regional basis, characterizing slope, drainage area, stream length, flow, and temperature by stream order. Combining the model with the GIS provided a dynamic picture of the trout populations under global climate change scenarios over a large region without sacrificing biological realism.
Daniel A. Levine
University of Tennessee
P.O. Box 2008 ORNL
Bethel Valley Road
Oak Ridge, TN 37831-6274
USA
Telephone: (423) 574-6335
Fax: (423) 574-4634
E-mail: levineda@ornl.gov