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Grizzly bear (Ursus arctos) habitat use maps delineate predicted habitat use for grizzly bears around the Bitterroot Ecosystem (BE), a federally designated recovery zone in western Montana and central Idaho. These raster data are the official data release for Sells and Costello (2024), “Predicting future grizzly bear habitat use in the Bitterroot Ecosystem under recolonization and reintroduction scenarios.” Many conservation actions must be implemented with limited data. This is especially true when planning recovery efforts for extirpated populations, such as grizzly bears within the Bitterroot Ecosystem (BE), where strategies for reestablishing a resident population are being evaluated. Here, we applied individual-based...
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...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Glacier National Park,
Grizzly Bears,
Idaho,
Montana,
Northern Continental Divide Ecosystem,
Over the past two centuries, persecution and habitat loss caused grizzly bears (Ursus arctos) to decline from a population of approximately 50,000 individuals to only 4 fragmented populations within the continental United States. In recent decades, these populations have increased and expanded in size and range due to collaborative conservation efforts and protections under the Endangered Species Act. Today, population estimates exceed 1000 animals each in the Northern Continental Divide Ecosystem (NCDE) and Greater Yellowstone Ecosystem (GYE). The Selkirk Ecosystem (SE) has approximately 50 grizzly bears, and augmentations into the Cabinet-Yaak Ecosystem (CYE) helped boost the population to an estimated 50 – 60...
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...
Grizzly bears (Ursus arctos) have been increasingly observed in central Montana’s plains in recent years. To assist with conservation planning, we sought to predict habitat use and connectivity pathways for grizzly bears east of the Northern Continental Divide Ecosystem (NCDE) and northeast of the Greater Yellowstone Ecosystem (GYE). We used the methods described in Sells et al. (2023b), "Predicted connectivity pathways between grizzly bear ecosystems in Western Montana," to simulate grizzly bear movements along the edges of the NCDE and GYE and into central Montana. Simulated grizzly bears used riparian areas in the plains most heavily, along with isolated mountain ranges. Based on known outlier locations and locations...
Grizzly bear (Ursus arctos) connectivity pathways for the Selkirk to Cabinet-Yaak Ecosystems delineate predicted movement routes for grizzly bears between these federally designated recovery zones. These raster data build on the official data release for Sells et al. (2023b), "Predicted connectivity pathways between grizzly bear ecosystems in Western Montana." In summary, Sells et al. (2023b) built on recent work by Sells et al. (2022, 2023a) to simulate movements using integrated step selection functions (iSSFs) developed from GPS-collared grizzly bears (F = 46, M = 19) in the Northern Continental Divide Ecosystem (NCDE). We applied the iSSFs to the Selkirk and Cabinet-Yaak Ecosystems to simulate habitat use between...
Grizzly bear (Ursus arctos) connectivity pathways delineate predicted movement routes for grizzly bears between federally designated recovery zones in and near western Montana. These raster data are the official data release for Sells et al. (2023), "Predicted connectivity pathways between grizzly bear ecosystems in Western Montana." In summary, we built on recent work by Sells et al. (2022, 2023) to simulate movements using integrated step selection functions (iSSFs) developed from GPS-collared grizzly bears (F = 46, M = 19) in the Northern Continental Divide Ecosystem (NCDE). We applied the iSSFs in a >300,000 km2 area including the NCDE, Cabinet–Yaak (CYE), Bitterroot (BE), and Greater Yellowstone (GYE) Ecosystems...
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...
Understanding evolutionary processes that drive population dynamics is critical in ecology. Measuring the performance-density relationship in long-lived mammalian species demands long-term data, limiting the ability to observe such mechanisms. We tested density-dependent (intrinsic) and density-independent (extrinsic) drivers of body composition of grizzly bears (Ursus arctos) in the Greater Yellowstone Ecosystem over two decades.
Categories: Data;
Tags: Greater Yellowstone Ecosystem,
Idaho,
Montana,
USGS Science Data Catalog (SDC),
United States,
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