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CHRIS SERVHEEN

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Population fragmentation compromises population viability, reduces a species ability to respond toclimate change, and ultimately may reduce biodiversi ty. We studied the current state and potential causes offragmentation in grizzly bears over approximat ely 1,000,000 km of western Canada, the northern United States(US), and southeast Alaska. We compiled much of our data from projects undertaken with a variety of researchobjectives including population estimation and trend, landscape fragmentation, habitat selection, vital rates, andresponse to human development. Our prim ary analytical techniques stemmed from genetic analysis of 3,134 bears,supplemented with radiotelemetry data from 792 bears. We used 15 locus microsatellite...
This project is a multi-year initiative to secure landscape-scale movement opportunities for multiple wildlife species in the Rocky Mountains of Montana and Idaho and adjacent transboundary areas of British Columbia and Alberta. This movement is necessary as wildlife populations move across the Northern Rockies landscape in response to changes in distribution and abundance of habitats and key foods resulting from climate change. This project has a goal of re-linking all the large blocks of public land in the Northern Rockies for more functional and healthy wildlife communities in response to climate change.
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Fragmentation is a growing threat to wildlife worldwide and managers need solutions to reverseits impacts on species’ populations. Populations of grizzly bears (Ursus arctos), often considered an umbrellaand focal species for largemammal conservation, are fragmented by human settlement and major highways inthe trans-border region of southern British Columbia, northern Montana, Idaho, and northeasternWashington. To improve prospects for bear movement among 5 small fragmented grizzly bearsubpopulations, we asked 2 inter-related questions: Are there preferred linkage habitats for grizzly bearsacross settled valleys with major highways in the fragmented trans-border region, and if so, could we predictthem using a combination...
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