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

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dc.contributor.authorWhite, Boyd Winston, author
dc.contributor.authorRittenhouse, Larry R., advisor
dc.contributor.authorBunnell, Kevin D., advisor
dc.contributor.authorWoodmansee, Robert George, committee member
dc.contributor.authorPeel, R. Kraig, committee member
dc.coverage.spatialDugway Proving Ground (Utah)
dc.date.accessioned2007-01-03T04:54:45Z
dc.date.available2007-01-03T04:54:45Z
dc.date.issued2009
dc.descriptionDepartment Head: Michael J. Manfredo.
dc.description.abstractThis 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.
dc.format.mediummasters theses
dc.identifier2009_spring_White.pdf
dc.identifierETDF2009100002FRWS
dc.identifier.urihttp://hdl.handle.net/10217/22103
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991012199179703361
dc.relationQL696.S83.W55 2009
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleValidation of a geographic information system predictive habitat model for burrowing owls (Athene cunicularia) at US Army, Dugway Proving Ground
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineForest, Rangeland, and Watershed Stewardship
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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