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This dataset represents the 2010 parturition areas for mule deer in Wyoming as mapped by the Wyoming Game and Fish Department. Delineated parturition areas indicate areas with seasonally high concentrations of birthing animals. Boundaries are based on systematic and opportunistic long-term observation data. Depending on location and habitat conditions, birthing often occurs over dispersed areas. Such areas are not mapped as parturition areas.
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To support the BLM's San Luis Valley-Taos Plateau Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC) within big game migration corridors.The big game migration corridors extent was determined from CDOW data. Species include bighorn sheep, elk, mule deer, and pronghorn. Migration corridors were clipped to the study area boundary and merged and dissolved across species.This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future...
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This dataset presents current and future change agent models and combined future potential for change (PFC) within big game seasonal ranges.The big game seasonal ranges extent was determined by aggregating datasets on seasonal ranges of several big game species (Elk, Mule Deer, Pronghorn, and Bighorn Sheep). Seasonal ranges include winter, crucial winter, crucial summer, and parturition areas. Data were obtained from state natural resource agencies (Colorado Parks and Wildlife) and the BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents...
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To support the BLM's San Luis Valley-Taos Plateau Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC) within big game migration corridors.The big game migration corridors extent was determined from CDOW data. Species include bighorn sheep, elk, mule deer, and pronghorn. Migration corridors were clipped to the study area boundary and merged and dissolved across species.This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future...
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Road features were identified using TIGER line data and those features mapped as freeways, secondary roads and local roads were selected. A moving window analysis was applied, which used a window area of 640 acres to determine the miles of road per 640 acres. Output from the analysis was scored where road density values less than 3 miles/640acres were scored as a 3 (“preferred”) and road density values greater than 3 miles/640acres received a score of 1 (“lower quality”).
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The metrics used to assess the size of core habitat fragments was developed by considering the average home range for mule deer in the intermountain west. Habitat fragment size does not pertain to the minimum habitat area, but rather reflects landscape fragments that are easily traversed by mule deer as they move between patches of suitable habitat. Using the Habitat Core Area (HCA) toolset developed by WHCWG (2010), large, contiguous core habitat fragments were identified that presented no permeability restrictions and retained high levels of naturalness (i.e., core areas characterized by a relatively light human footprint). Habitat fragments larger than 500 ha were considered good, fragments between 300-500ha...
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NOAA total mean monthly snow depth data represents the mean monthly total accumulation derived from 4km raster data. It does not incorporate melting, compression or sublimation. The data scoring categories were based on snow depth data categories, with snow depth greater than 20.4 inches considered low quality, 10.4 to 20.4 inches scored as moderate quality and less than 10.4 inches considered preferred.
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Road features were identified using TIGER line data and those features mapped as freeways, secondary roads and local roads were selected. A proximity analysis was performed and then assigned scores based on the metric values that included ratings where distance from roads greater than 1000 meters was scored as preferred, 300 - 1,000 meters was scored as moderate and less than 300 meters was considered lower quality.
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This dataset presents current and future change agent models and combined future potential for change (PFC) within Elk-mule deer assemblage potentially suitable habitat.The elk-mule deer assemblage potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Model for the mule deer clipped to the study area for the SLV-TP Landscape Assessment. The dataset includes only potentially suitable habitat and does not directly represent movement corridors or seasonal ranges. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all...
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This dataset presents current and future change agent models and combined future potential for change (PFC) within Elk-mule deer assemblage potentially suitable habitat.The elk-mule deer assemblage potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Model for the mule deer clipped to the study area for the SLV-TP Landscape Assessment. The dataset includes only potentially suitable habitat and does not directly represent movement corridors or seasonal ranges. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all...
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Data was acquired during aerial surveys conducted by Montana Fish, Wildlife & Parks (FWP) between 1991 and 2003. The aerial surveys were conducted annually to count and classify mule deer in the area. Data are used by Montana Fish, Wildlife & Parks in their management responsibilities to set hunting seasons, determine population trends, and identify critical habitats. Observations were recorded on data forms and locations either plotted on USFS Maps (Deerlodge National Forest) or recorded by specific location. The data represents winter observations of mule deer. It is not intended to represent overall or annual distribution. Each individual observation represents one or more animals. Density of observations...
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This data set represents the 2010 mule deer huntarea and herdunit boundaries for Wyoming. The layer was originally digitized at a scale of 1:100,000, using USGS 1:100,000 DRGs as a backdrop for heads up digitizing. Updates are currently done by selecting needed features from other layers, including roads, streams, HUCs, etc. Huntarea boundary descriptions are part of hunting regulations, which are approved and published annually by the Wyoming Game and Fish Commission. When needed, the 2008 edition (First Edition) of the Wyoming Road and Recreation Atlas (Benchmark Maps) was consulted for road information.
Categories: Data; Types: Downloadable; Tags: Herdunits, Huntareas, Mule Deer, Wyoming, biota
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Statewide migration barriers for Mule Deer. The severity of the threat to the migration route and the severity of problem noted.
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This dataset presents current and future change agent models and combined future potential for change (PFC) within big game seasonal ranges.The big game seasonal ranges extent was determined by aggregating datasets on seasonal ranges of several big game species (Elk, Mule Deer, Pronghorn, and Bighorn Sheep). Seasonal ranges include winter, crucial winter, crucial summer, and parturition areas. Data were obtained from state natural resource agencies (Colorado Parks and Wildlife) and the BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents...
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This dataset presents current and future change agent models and combined future potential for change (PFC) within Elk-mule deer assemblage potentially suitable habitat.The elk-mule deer assemblage potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Model for the mule deer clipped to the study area for the SLV-TP Landscape Assessment. The dataset includes only potentially suitable habitat and does not directly represent movement corridors or seasonal ranges. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all...
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This dataset presents current and future change agent models and combined future potential for change (PFC) within Elk-mule deer assemblage potentially suitable habitat.The elk-mule deer assemblage potentially suitable habitat extent was determined using the SWReGAP Vertebrate Habitat Distribution Model for the mule deer clipped to the study area for the SLV-TP Landscape Assessment. The dataset includes only potentially suitable habitat and does not directly represent movement corridors or seasonal ranges. This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all...
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The metrics used to assess the size of core habitat fragments was developed by considering the average home range for mule deer in the intermountain west. Habitat fragment size does not pertain to the minimum habitat area, but rather reflects landscape fragments that are easily traversed by mule deer as they move between patches of suitable habitat. Using the Habitat Core Area (HCA) toolset developed by WHCWG (2010), large, contiguous core habitat fragments were identified that presented no permeability restrictions and retained high levels of naturalness (i.e., core areas characterized by a relatively light human footprint). Habitat fragments larger than 500 ha were considered good, fragments between 300-500ha...
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To support the BLM's San Luis Valley-Taos Plateau Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC) within big game migration corridors.The big game migration corridors extent was determined from CDOW data. Species include bighorn sheep, elk, mule deer, and pronghorn. Migration corridors were clipped to the study area boundary and merged and dissolved across species.This dataset presents current and future change agent models and combined future potential for change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future...
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Data was acquired during aerial surveys conducted by Montana Fish, Wildlife & Parks (FWP) between 1977 and 2005. The aerial surveys were conducted annually to count and classify mule deer in the area. Data are used by Montana Fish, Wildlife & Parks in their management responsibilities to set hunting seasons, determine population trends, and identify critical habitats. Observations were recorded on data forms and locations either plotted on USFS Maps (Deerlodge National Forest) or recorded by specific location. The data represents spring observations of mule deer. It is not intended to represent overall or annual distribution. Each individual observation represents one or more animals. Density of observations...
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Habitat fragmentation was assessed by using the core habitat developed for the core habitat patchsize analysis for both summer and winter ranges. Each dataset was evaluated by applying the following patch density equation to assess the level of habitat heterogeneity: PD = N/ A, where PD = Patch Density, N = number of unique patches, and A = unit area (100 ha). Based on the output of this equation values calculated between 0.4 -0.55 were scored as good, values between 0 and 0.4 were scored as fair, and values greater than 0.55 were scored as poor.


map background search result map search result map Mule Deer Migration Barriers for Wyoming at 1:100,000 Mule Deer Parturition Areas for Wyoming at 1:100,000 Mule Deer Huntarea Boundaries for Wyoming at 1:100,000 Upper Clark Fork Winter Mule Deer Observations Upper Clark Fork River Basin Mule Deer Spring Locations (1977-2005) BLM REA NGB 2011 Core Habitat Fragmentation for Modeled Mule Deer Winter and Year Long Habitat BLM REA NGB 2011 Habitat Patch Assessment for Modeled Mule Deer Winter and Year Long Habitat BLM REA NGB 2011 Habitat Patch Assessment for Modeled Mule Deer Summer and Year Long Habitat BLM REA NGB 2011 Road Density for Modeled Mule Deer Summer and Year long Habitat BLM REA NGB 2011 Distance to Roads for Modeled Mule Deer Winter and Year long Habitat BLM REA NGB 2011 Snow Depth for Mule Deer Winter and Year Long Habitat BLM REA SLV 2013 Big Game Migration Corridors PFC 1km Poly Near Term Climate BLM REA SLV 2013 ElkMuleDeer PFC 1km Poly Near Term Human Development BLM REA SLV 2013 ElkMuleDeer PFC 1km Poly Human Development BLM REA SLV 2013 Big Game Seasonal Ranges PFC 1km Poly Fire BLM REA SLV 2013 Big Game Migration Corridors PFC 1km Poly Human Development BLM REA SLV 2013 ElkMuleDeer PFC 1km Poly Near Term Climate BLM REA SLV 2013 Big Game Migration Corridors PFC 1km Poly Near Term Landscape Intactness BLM REA SLV 2013 ElkMuleDeer Habitat 1km Poly BLM REA SLV 2013 Big Game Seasonal Ranges PFC 1km Poly Human Development Upper Clark Fork Winter Mule Deer Observations Upper Clark Fork River Basin Mule Deer Spring Locations (1977-2005) BLM REA SLV 2013 Big Game Migration Corridors PFC 1km Poly Near Term Climate BLM REA SLV 2013 Big Game Migration Corridors PFC 1km Poly Human Development BLM REA SLV 2013 Big Game Migration Corridors PFC 1km Poly Near Term Landscape Intactness BLM REA SLV 2013 Big Game Seasonal Ranges PFC 1km Poly Fire BLM REA SLV 2013 Big Game Seasonal Ranges PFC 1km Poly Human Development BLM REA SLV 2013 ElkMuleDeer PFC 1km Poly Near Term Human Development BLM REA SLV 2013 ElkMuleDeer PFC 1km Poly Human Development BLM REA SLV 2013 ElkMuleDeer PFC 1km Poly Near Term Climate BLM REA SLV 2013 ElkMuleDeer Habitat 1km Poly Mule Deer Parturition Areas for Wyoming at 1:100,000 Mule Deer Migration Barriers for Wyoming at 1:100,000 Mule Deer Huntarea Boundaries for Wyoming at 1:100,000 BLM REA NGB 2011 Core Habitat Fragmentation for Modeled Mule Deer Winter and Year Long Habitat BLM REA NGB 2011 Habitat Patch Assessment for Modeled Mule Deer Winter and Year Long Habitat BLM REA NGB 2011 Habitat Patch Assessment for Modeled Mule Deer Summer and Year Long Habitat BLM REA NGB 2011 Road Density for Modeled Mule Deer Summer and Year long Habitat BLM REA NGB 2011 Distance to Roads for Modeled Mule Deer Winter and Year long Habitat BLM REA NGB 2011 Snow Depth for Mule Deer Winter and Year Long Habitat