The value of a spatial habitat model to landscape planners lies in its ability to predict the spatial distribution of some habitat attribute—in this case, grizzly bear food—in areas where actual empirical data is lacking. The ability to quickly generate multiple habitat forecasts for different change scenarios allows planners to anticipate the outcomes of planned activities and compare the costs and benefits of various options.
Dynamic Regeneration of Grizzly Bear Food Model
No current milestones for this project
GIS tool to dynamically regenerate spatial habitat data developed by Dr. Scott Nielsen.
Article in Biological Conservation on predictors of occupancy-abundance and habitat selection in grizzly bears. Citation and abstract only.