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Colorado State University

1. White, Boyd Winston. Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground.

Degree: MS(M.S.), Forest, Rangeland, and Watershed Stewardship, 2009, Colorado State University

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, 0.35, and 0.25 for vegetation types, slope and proximity, respectively times the index (3, 2, 1, 0 for excellent, fair, poor and non-habitat, respectively). The display layer was the sum of the weighted layers. The display was Excellent, Fair, Poor and Non- Habitat. Visual and auditory field observations were conducted in each of the four habitat delineations to validate the models predictive capability. In conclusion, we could not discriminate Excellent, Fair, Poor, or Non-habitat, based on the two proportions test and the Z-statistic at the 80% Confidence Interval. Validation was hampered by the low incidence of ATCU sightings in the 2008 season. Advisors/Committee Members: Rittenhouse, Larry R. (advisor), Bunnell, Kevin D. (advisor), Woodmansee, Robert George (committee member), Peel, Kraig R. (committee member).

Subjects/Keywords: U.S. Army Dugway Proving Ground; DPG; burrowing owls; ATCU; habitat; geological information systems; GIS; Burrowing owl  – Dugway Proving Ground (Utah); Habitat (Ecology)  – Dugway Proving Ground (Utah); Geographic information systems  – Dugway Proving Ground (Utah); Athene cunicularia

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

White, B. W. (2009). Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/22103

Chicago Manual of Style (16th Edition):

White, Boyd Winston. “Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground.” 2009. Masters Thesis, Colorado State University. Accessed April 14, 2021. http://hdl.handle.net/10217/22103.

MLA Handbook (7th Edition):

White, Boyd Winston. “Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground.” 2009. Web. 14 Apr 2021.

Vancouver:

White BW. Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground. [Internet] [Masters thesis]. Colorado State University; 2009. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10217/22103.

Council of Science Editors:

White BW. Validation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground. [Masters Thesis]. Colorado State University; 2009. Available from: http://hdl.handle.net/10217/22103

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