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The Randomized Shortest Path (RSP) raster delineates potential dispersal paths for male-mediated gene flow between grizzly bear (Ursus arctos) populations in the Greater Yellowstone Ecosystem (GYE) and the Northern Continental Divide Ecosystem (NCDE). A RSP algorithm was used to estimate the average number of net passages for all grid cells at a spatial resolution of 300 m in the study region which spans parts of Montana, Idaho, and Wyoming. RSP rasters identify potential movement paths for 3 levels of random deviation determined by the parameter Θ (i.e., Θ = 0.01, 0.001, and 0.0001) for bears moving from an origin to a destination node. Lower values of Θ result in greater exploration and more random deviation around...
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The grizzly bear distribution boundary represents the estimated geographic extent of occupied range of the Yellowstone grizzly bear population for the period 2004-2018. The distribution boundary was delineated to provide reliable estimations of grizzly bear occupancy throughout time and for use as a monitoring tool in grizzly bear management and conservation. The boundary was delineated by the Interagency Grizzly Bear Study Team (IGBST) using an interpolation method based on grizzly bear telemetry and GPS locations as well as verified observations and signs of grizzly bears inside the Greater Yellowstone Ecosystem during 2004 to 2018.
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For several decades, grizzly bear (Ursus arctos) populations in the Greater Yellowstone Ecosystem (GYE) and the Northern Continental Divide Ecosystem (NCDE) have increased in numbers and range extent. Whereas the NCDE population is contiguous with grizzly bear populations in the Canadian Rocky Mountains, genetic evidence suggests the GYE population remains isolated. Recent analyses indicate the effective population size of GYE grizzly bears has increased and is approaching levels needed for long-term viability. With only ~110 km distance separating current estimates of occupied range for these populations, the potential for immigration into the GYE from an NCDE migrant, or vice versa, is likely greater now than...
Historically, available polar bear den habitat models have been based primarily on the presence of topographic features capable of capturing drifting snow. In any given season, however, the availability and precise location of snowdrifts of sufficient size to accommodate a bear den depends on the antecedent snowfall and wind conditions, and these vary from one year to the next. Thus, suitable topography is a necessary pre-condition, but is not sufficient to accurately predict potential den sites in a given year. To satisfy the requirements of agency and industry managers what is needed is a user-friendly decision-support tool that takes into account the current fall and early-winter meteorological conditions, and...
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These data are the data for spring body composition and energy content for adult female brown bears from Gates of the Arctic, Lake Clark, Kodiak, and Katmai, Alaska, 2014-2017.
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Locations of two types of hair collection stations for sampling the grizzly and black bear populations in the Glacier National Park region of the Northern Continental Divide Ecosystem, Montana, USA. Sampling was conducted during June-October, 2004.
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Throughout the Arctic most pregnant polar bears (Ursus maritimus) construct maternity dens in seasonal snowdrifts that form in wind-shadowed areas. We developed and verified a spatial snowdrift polar bearden habitat model (SnowDens-3D) that predicts snowdrift locations and depths along Alaska’s Beaufort Sea coast. SnowDens-3D integrated snow physics, weather data, and a high-resolution digital elevation model (DEM) to produce predictions of the timing, distribution, and growth of snowdrifts suitable for polar bear dens. SnowDens-3D assimilated 18 winters (1995 through 2012) of observed daily meteorological data and a 2.5 m grid-increment DEM covering 337.5 km2 of the Beaufort Sea coast, and described the snowdrift...
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The grizzly bear distribution boundary represents the estimated geographic extent of occupied range of the Yellowstone grizzly bear population for the period 2002-2016. The distribution boundary was delineated to provide reliable estimations of grizzly bear occupancy throughout time and for use as a monitoring tool in grizzly bear management and conservation. The boundary was delineated by the Interagency Grizzly Bear Study Team (IGBST) using an interpolation method based on grizzly bear telemetry and GPS locations as well as verified observations and signs of grizzly bears inside the Greater Yellowstone ecosystem during 2002 to 2016.
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Historically, available den habitat models have been based primarily on the presence of topographic features capable of capturing drifting snow. In any given season, however, the availability and precise location of snowdrifts of sufficient size to accommodate a bear den depends on the antecedent snowfall and wind conditions, and these vary from one year to the next. Thus, suitable topography is a necessary pre-condition, but is not sufficient to accurately predict potential den sites in a given year.To satisfy the requirements of agency and industry managers what is needed is a user-friendly decision-support tool that takes into account the current fall and early-winter meteorological conditions, and provides den...
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The grizzly bear distribution boundary delineates the estimated geographic extent of occupied range of the Yellowstone grizzly bear population for the period 2000-2014. The distribution boundary was generated to provide reliable estimations of grizzly bear occupancy throughout time and for use as a monitoring tool in grizzly bear management and conservation. The boundary was delineated by the Interagency Grizzly Bear Study Team (IGBST) using an interpolation method based on grizzly bear telemetry and GPS locations as well as verified observations and signs of grizzly bears inside the Greater Yellowstone ecosystem during 2000 to 2014.


    map background search result map search result map Distribution of the Yellowstone Grizzly Bear (2002-2016) Potential movement paths for male grizzly bear (Ursus arctos) dispersal between the Northern Continental Divide and Greater Yellowstone Ecosystems, 2000-2015 Randomized shortest paths for Grizzly Bear dispersal between the GYE and NCDE Distribution of the Yellowstone Grizzly Bear (2000-2014) Operational Polar Bear Den Mapping SnowDens-3D User Documentation Modeling snowdrift habitat for polar bear dens Brown Bear Spring Energetics, Alaska, 2014-2017 Brown Bear Phenotypic Plasticity, Alaska, 2013-2016 Bear capture recapture sampling in Glacier National Park, Montana, 2004 Black bear detections in Glacier National Park, Montana, in 2004 Sampling locations for bears near Glacier National Park, Montana, in 2004 Distribution of the Yellowstone Grizzly Bear (2004 - 2018) Operational Polar Bear Den Mapping Bear capture recapture sampling in Glacier National Park, Montana, 2004 Black bear detections in Glacier National Park, Montana, in 2004 Sampling locations for bears near Glacier National Park, Montana, in 2004 Modeling snowdrift habitat for polar bear dens SnowDens-3D User Documentation Distribution of the Yellowstone Grizzly Bear (2000-2014) Distribution of the Yellowstone Grizzly Bear (2002-2016) Distribution of the Yellowstone Grizzly Bear (2004 - 2018) Potential movement paths for male grizzly bear (Ursus arctos) dispersal between the Northern Continental Divide and Greater Yellowstone Ecosystems, 2000-2015 Randomized shortest paths for Grizzly Bear dispersal between the GYE and NCDE Brown Bear Spring Energetics, Alaska, 2014-2017 Brown Bear Phenotypic Plasticity, Alaska, 2013-2016