Predicted connectivity pathways for grizzly bears between the Selkirk and Cabinet-Yaak Ecosystems: spatial data
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 ecosystems. Following Sells et al. (2023b), we simulated directed movements (randomized shortest paths with the level of exploration identified as most appropriate in Sells et al. 2023b, theta = 0.0001) between start and end nodes across populations. We summarized and binned results as classes 1 (lowest relative predicted use) - 10 (highest relative predicted use). Connectivity pathways were primarily associated with mountainous areas and secondarily with river and stream courses in open valleys. Our predictive maps can facilitate on-the-ground application of this research for prioritizing habitat conservation, human-bear conflict mitigation, and transportation planning.
Complete Metadata
| accessLevel | public |
|---|---|
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[
"010:12"
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| contactPoint |
{
"fn": "Sarah N Sells",
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"hasEmail": "mailto:ssells@usgs.gov"
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|
| description | 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 ecosystems. Following Sells et al. (2023b), we simulated directed movements (randomized shortest paths with the level of exploration identified as most appropriate in Sells et al. 2023b, theta = 0.0001) between start and end nodes across populations. We summarized and binned results as classes 1 (lowest relative predicted use) - 10 (highest relative predicted use). Connectivity pathways were primarily associated with mountainous areas and secondarily with river and stream courses in open valleys. Our predictive maps can facilitate on-the-ground application of this research for prioritizing habitat conservation, human-bear conflict mitigation, and transportation planning. |
| distribution |
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| identifier | http://datainventory.doi.gov/id/dataset/USGS_6643affbd34e1955f5a423f4 |
| keyword |
[
"Cabinet-Yaak Ecosystem",
"Idaho",
"Montana",
"Northern Continental Divide Ecosystem",
"Selkirk Ecosystem",
"US Northern Rocky Mountains",
"USGS:6643affbd34e1955f5a423f4",
"Ursus arctos",
"Washington",
"bears",
"biota",
"connectivity",
"dispersal (organisms)",
"grizzly bears",
"integrated step selection functions",
"movement ecology",
"natural resource management"
]
|
| modified | 2024-07-11T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
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| spatial | -118.3511, 46.6967, -114.6514, 49.5777 |
| theme |
[
"Geospatial"
]
|
| title | Predicted connectivity pathways for grizzly bears between the Selkirk and Cabinet-Yaak Ecosystems: spatial data |
