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This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
This layer represents 5-year relative counts of wildlife carcasses collected by Montana Department of Transportation (MDT) maintenance personnel or U.S. Fish & Wildlife Service Grizzly Bear Recovery Team personnel on or adjacent to on-system (major) routes from 2008 to 2012. To obtain relative counts, the 5-year total counts per mile, which included all wildlife species observed, were divided by the maximum observed calue (98) to give a relative 0-1 risk score. Total counts, which include all wildlife species observed, along with carnivore counts, which include only black bears, grizzly bears, mountain lions, and wolves, are provided. Counts were derived by identifying the nearest mile marker to each carcass point...
This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
Generalization of 10 focal species cost-weighted distance (CWD) categorical raster, Highway 97 South
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
The five fracture zones contained in this layer are: Highway 97 North, Highway 97 Central, Highway 97 South, Highway 3 East, and Highway 3 West.
These case study sites are detailed in the report accompanying this data layer. The case studies are intended to serve as examples of how some of the opportunities for diverse stakeholders to engage in the process of mitigating road impacts on wildlife that are described in the report might be applied on the ground, as well as other considerations that come into play in selecting sites for possible mitigation and designing mitigation solutions for those sites. Through these case studies, we illustrate potential opportunities for mitigation and partner engagement for each of the four alternative priority sets identified in this study.Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: AADT,
AADT,
Carnivores,
Carnivores,
Connectivity,
The five fracture zones contained in this layer are: Highway 97 North, Highway 97 Central, Highway 97 South, Highway 3 East, and Highway 3 West.
This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
This cost-weighted distance (CWD) raster was developed from a generalized shrub-steppe and grassland (SSGL) species guild resistance model based on 20th percentile of resistance values for the five statewide analysis (WHCWG 2010) focal species in this biome, including sage-grouse, black-tailed jackrabbit, white-tailed jackrabbit, badger, and sharp-tailed grouse.
Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department of Fish & Game, and U.S. Fish & Wildlife Service were aggregated to the nearest mile marker for major roads of the U.S. Northern Rockies. WGA connectivity flowlines were intersected with the road network and attributed to the nearest mile marker, along with their connectivity ranking, which indicates their expected relative importance to maintaining westwide connectivity. Values for potential risk factors, including average annual daily traffic (AADT), functional class, number of lanes, road surface width, landscape condition of surrounding habitat, ruggedness of surrounding landscape, and topographic position relative to surrounding...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: AADT,
AADT,
Carnivores,
Carnivores,
Connectivity,
Habitat concentration areas (HCAs) represent large patches of low resistance pixels that are not fragmented by strong barriers.HCAs are defined as significant habitat areas that are expected or known to be important for focal species based on survey data or habitat association modeling (WHCWG 2012).
The study area was defined so as to span the Crown of the Continent, Salmon-Selway, and Greater Yellowstone Ecosystem, and was delineated based on EPA Ecoregions as described in the Processing Steps.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Biology,
Biology,
Conservation,
Conservation,
Crown of the Continent,
This layer represents the major road network of the U.S. Northern Rockies. It was created by merging Montana Department of Transportation "on-system" routes with Idaho Transportation Department "state highway system" routes, creating consistent attribute fields, then clipping to the U.S. Northern Rockies study area boundary.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Highways,
Highways,
Idaho,
Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department of Fish & Game, and U.S. Fish & Wildlife Service were aggregated to the nearest mile marker for major roads of the U.S. Northern Rockies. WGA connectivity flowlines were intersected with the road network and attributed to the nearest mile marker, along with their connectivity ranking, which indicates their expected relative importance to maintaining westwide connectivity. Values for potential risk factors, including average annual daily traffic (AADT), functional class, number of lanes, road surface width, landscape condition of surrounding habitat, ruggedness of surrounding landscape, and topographic position relative to surrounding...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: AADT,
AADT,
Carnivores,
Carnivores,
Connectivity,
This cost-weighted distance (CWD) raster was developed from a generalized shrub-steppe and grassland (SSGL) species guild resistance model based on 20th percentile of resistance values for the five statewide analysis (WHCWG 2010) focal species in this biome, including sage-grouse, black-tailed jackrabbit, white-tailed jackrabbit, badger, and sharp-tailed grouse.
Ten focal species cost-weighted distance (CWD) surfaces from WHCWG (2010) were combined into a single categorical raster for this project. The source focal species were: western toad, northern flying squirrel, wolverine, Canada lynx, American marten, mountain goat, American black bear, elk, mule deer, and bighorn sheep.
This categorical CWD raster was developed from a project-wide CWD raster. For each of the five fracture zones, the CWD raster was partitioned into zone-specific, 10 equal-area class map, ranging from low CWD to high CWD.
HCA’s represent large patches of low resistance pixels that are not fragmented by strong barriers. These areas were modeled from landscape integrity condition values (TCWG 2015).
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