Skip to main content

Wayne Kasworm

thumbnail
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...
thumbnail
This project will focus on analysis of 10 years of GPS telemetry data for 60 grizzly bears across the threatened and fragmented trans-border grizzly bear subpopulations in the Cabinet, Yaak, Purcell, and Selkirk Mountain (Proctor et al. 2012) with a goal to identify areas of high quality core habitat and understand the ecological characteristics that underpin habitat use. We will use Resource Selection Function habitat-use models for partitioned by sex and in each of 3 seasons to capture the variation of bear habitat use. We will also work to integrate our results to inform wildlife and land managers on where to concentrate their management efforts by season to promote population health and resilience in both the...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: British Columbia, Cabinet, Connectivity, Data Management and Integration, Federal resource managers, All tags...
thumbnail
Grizzly bear (Ursus arctos) habitat use maps delineate predicted habitat use for grizzly bears around federally designated recovery zones in and near western Montana. These raster data are the official data release for Sells et al. (2022), “Grizzly Bear Habitat Selection Across the Northern Continental Divide Ecosystem” and Sells et al. (2023), “Grizzly bear movement models predict habitat use for nearby populations.” In summary, to better understand habitat selection by grizzly bears, Sells et al. (2022) developed and validated individual-based integrated step-selection functions (iSSFs) for 65 grizzly bears monitored in the Northern Continental Divide Ecosystem (NCDE; including 19 males and 46 females). Step-selection...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.