We present a method for evaluating the cumulative effects of human activity
on grizzly bear (Ursus arctos) habitat in the Northern Continental Divide
Ecosystem of western Montana. Using logistic regression, we modeled the rel
ative probabilities of female grizzly bear resource selection from telemetr
y data, TM satellite imagery (greenness), elevation, human activity points,
roads, and trails. During spring, adult female grizzly bears were positive
ly associated with low- and mid-elevation habitats. Logistic regression coe
fficients were negative for all road and human activity variables. Summer a
nd fall coefficients were also negative for road, human activity, and trail
variables. During summer and fall, females were positively associated with
mid to high elevations. Coefficients were positive for greenness during al
l seasons. Extrapolations of seasonal potential and realized habitat models
were made to other areas on the western side of the region where no teleme
try data existed. During spring, much of the Bob Marshall Wilderness exhibi
ted a relatively low probability of use by female grizzly bears, but the co
nverse was observed during summer and fall. The mapping and extrapolation p
rocess highlighted areas where habitat restoration would have the greatest
benefit. These areas were typically low-elevation spring habitats with high
road densities and private lands where urbanization occurred. We recommend
that habitat management agencies implement reductions in road densities in
seasonal habitat and implement methods to maintain habitat function on pri
vate lands.