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dc.contributor.advisorEvans, David
dc.contributor.authorMosley, Robert Luke
dc.date2015
dc.date.accessioned2021-02-04T22:22:26Z
dc.date.available2021-02-04T22:22:26Z
dc.identifier.urihttps://hdl.handle.net/11668/21056
dc.description.abstractLimited knowledge exists of the terrain variables that have an influence on gopher tortoise (Gopherus polyphemus) burrow locations. Previous studies suggest that terrain features may play a role in preference of burrow location. LiDAR- (Light Detection and Ranging) derived terrain features can be evaluated through GIS (Geographic Information System) analysis at a fine spatial scale. LiDAR data acquired at 0.5 meter post spacing over three locations on Camp Shelby Joint Forces Training Center, MS were used to develop DTMs (Digital Terrain Models) for use in burrow site characterization. Terrain variables (e.g. elevation, slope, aspect) were developed from the LiDAR DTM in ArcGIS. Burrows and randomly allocated non-burrow points were used in logistic regression analysis to model the relationship between burrow occurrence and terrain features. Four models correctly classified more than 83% of the burrow locations. The R2 were 34.83%, 49.31%, 28.09%, and 31.51%.
dc.subject.otherlogistic regression
dc.subject.otherslope position
dc.subject.otherterrain roughness
dc.subject.otherelevation
dc.subject.otherspatial analyst
dc.subject.otherarcgis
dc.subject.otherdrainage basin
dc.subject.othergeospatial analysis
dc.subject.othercluster analysis
dc.titleUsing GIS and LiDAR DTMs to Characterize Terrain Features associated with Gopher Tortoise (Gopherus Polyphemus) Burrows
dc.typeThesis
dc.publisher.departmentForestry
dc.subject.degreeMaster of Science
dc.contributor.committeeLondo, Alexis
dc.contributor.committeeFan, Joseph (Zhaofei)
dc.date.defense2015-05-01


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