Multivariate model of female black bear habitat use for a Geographic Information System

Journal of Wildlife Management
By: , and 

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Abstract

Simple univariate statistical techniques may not adequately assess the multidimensional nature of habitats used by wildlife. Thus, we developed a multivariate method to model habitat-use potential using a set of female black bear (Ursus americanus) radio locations and habitat data consisting of forest cover type, elevation, slope, aspect, distance to roads, distance to streams, and forest cover type diversity score in the Ozark Mountains of Arkansas. The model is based on the Mahalanobis distance statistic coupled with Geographic Information System (GIS) technology. That statistic is a measure of dissimilarity and represents a standardized squared distance between a set of sample variates and an ideal based on the mean of variates associated with animal observations. Calculations were made with the GIS to produce a map containing Mahalanobis distance values within each cell on a 60- × 60-m grid. The model identified areas of high habitat use potential that could not otherwise be identified by independent perusal of any single map layer. This technique avoids many pitfalls that commonly affect typical multivariate analyses of habitat use and is a useful tool for habitat manipulation or mitigation to favor terrestrial vertebrates that use habitats on a landscape scale.

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Publication type Article
Publication Subtype Journal Article
Title Multivariate model of female black bear habitat use for a Geographic Information System
Series title Journal of Wildlife Management
DOI 10.2307/3809276
Volume 57
Issue 3
Year Published 1993
Language English
Publisher Wildlife Soceity
Contributing office(s) Northern Rocky Mountain Science Center
Description 8 p.
First page 519
Last page 526
Country United States
State Arkansas
Other Geospatial Ozark National Forest, White Rock Wildlife Management Area
Online Only (Y/N) N
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
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