Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground
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This study was designed to validate the use of Geological Information Systems (GIS) for creating a predictive habitat model that produces raster maps of acceptable habitats for Burrowing Owls, Athene cunicularia (ATCU). The model was designed to locate ATCU habitat for long-term monitoring purposes at U.S. Army Dugway Proving Ground. ArcGIS 9 was used to manipulate data from three data layers: Southwest Regional Gap Analysis vegetation layer, slope data, and proximity to edge. A weighted index was assigned to individual pixels. The weighted index was a product of the weighting factors (0.45, ...