Geographic Information System Topographic Factor Maps for Wildlife Management

Simple item page
dc.contributor.authorMcCombs, John Wayland IIen
dc.contributor.committeechairGiles, Robert H. Jr.en
dc.contributor.committeememberOderwald, Richard G.en
dc.contributor.committeememberCross, Gerald H.en
dc.contributor.departmentFisheries and Wildlife Sciencesen
dc.date.accessioned2014-03-14T20:52:04Zen
dc.date.adate1997-07-30en
dc.date.available2014-03-14T20:52:04Zen
dc.date.issued1997-07-24en
dc.date.rdate1997-07-30en
dc.date.sdate1997-07-24en
dc.description.abstractA geographic information system (GIS) was used to create landform measurements and maps for elevation, slope, aspect, landform index, relative phenologic change, and slope position for 3 topographic quadrangles in Virginia. A set of known observation points of the Northern dusky flying squirrel (Glaucomys sabrinus) was used to build 3 models to delineate sites with landform characteristics equivalent to those known points. All models were built using squirrel observation points from 2 topographic quadrangles. The first model, called "exclusionary", excluded those pixels with landform characteristics different from the known squirrel pixels based on histogram analyses. Logistic regression was used to create the other 2 models. Each model resulted in an image of pixels considered equivalent to the known squirrel pixels. Each model excluded approximately 65% of the Highland study area, but the exclusionary model excluded the fewest known squirrel pixels (12.62%). Both logistic regression models excluded approximately 10% more known squirrel pixels than the exclusionary approach. The models were tested in the area of a third quadrangle with points known to be occupied by squirrels. After the model was applied to the third topographic quadrangle, the exclusionary model excluded the least amount of full-area pixels (79.30%) and only 14.81% of the known squirrel pixels. The second logistic regression excluded 81.16 % of the full area and no known squirrel pixels. All models proved useful in quickly delineating pixels equivalent to areas where wildlife were known to occur.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-62897-155656en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-62897-155656/en
dc.identifier.urihttp://hdl.handle.net/10919/36865en
dc.publisherVirginia Techen
dc.relation.haspartWHOLE2.PDFen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectelevationen
dc.subjectslopeen
dc.subjectaspecten
dc.subjectlandformen
dc.subjectphenologyen
dc.subjectslope positionen
dc.subjectlogistic regressionen
dc.subjecthabitat modelingen
dc.subjecttopographyen
dc.subjectgeographic information systemen
dc.titleGeographic Information System Topographic Factor Maps for Wildlife Managementen
dc.typeThesisen
thesis.degree.disciplineFisheries and Wildlife Sciencesen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
WHOLE2.PDF
Size:
1.03 MB
Format:
Adobe Portable Document Format
Download

Collections

Masters Theses