Filters: Tags: Mule Deer (X)
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This project will provide for deer crossing the Baggs highway (789) to reduce vehicle collisions. Construction of 3-4 miles of deer proof fence to funnel a portion of a migrating deer herd to existing culvert under HWY 789 to reduce deer vehicle collissions. Installation of 6 cattleguards in current access points to prevent deer access through fences at these points. Further, the project would cover several years and work toward providing safe wildlife passage. Industry and WDOT are being approached to partner with the WGFD on this project. Providing deer crossings of HWY 789 will reduce the incidences of vehicle and deer collisions, reducing deer mortality and damage to vehicles. The project would be done in a...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
ScienceBase Project;
Tags: DemoAtomFeed,
Habitat,
habitat conservation project,
mule deer,
wildlife
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.
MuleDeerWinterRange is an ESRI SDE Feature Class showing that part of the overall range where 90% of the individuals are located during the average five winters out of ten from the first heavy snowfall to spring green-up, or during a site specific period of winter as defined for each Date Analysis Unit. This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Dataset was acquired from a third...
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...
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...
Types: Downloadable;
Tags: BLM,
Big Game,
Bighorn Sheep,
Bureau of Land Management,
Crucial Summer Range,
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...
In addition to current distribution of each mammal species, this map shows their current and near-term status within the ecoregion. Current, long-term, and summary bioclimate data is also include for several of these mammal species. The input datasets used in the distribution model are also included. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential...
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”).
Remote camera data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were used and set to take hourly timelapse images and motion-triggered images. The cameras were deployed from October 2020 - May 2021. Snow presence was assessed up to 15 m from the camera. Snow depth was measured using virtual snow stakes created with the edger R package created by the author. Wildlife were marked as present in all photos in which they appear, and new individuals were counted. Snow density was collected using a federal or prairie snow sampler. Snow hardness was collected using a ram penetrometer. Solar radiation was calculated using hemispherical...
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Latah,
Moscow Mountain,
Odocoileus hemionus,
Odocoileus virginianus,
We collected snow density measurements at camera sites from December 2020 - April 2021, at the same time as snow hardness measurements. We took measurements every few weeks as logistics allowed. We took samples near the camera site in snow visually similar to the snow in the camera viewshed (the geographical area that is visible from a location) to prevent snow conditions from being disturbed beyond normal camera deployment. We took snow density samples using a homemade prairie sampler in snow depths < 100 cm and using a federal snow sampler in snow depths > 100 cm. The sampler was inserted into the snow to remove a snow core. We retained the core if the depth of snow in the sampler was at least 90% of the actual...
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Latah,
Moscow Mountain,
Odocoileus virginianus,
biota,
This data product includes two datasets acquired for the study of northern Yellowstone mule deer seasonal movement and survival patterns. One data set “Point Locations of Radio-collared female northern Yellowstone mule deer” provides details about the date and time of relocations of radio-collared female northern Yellowstone mule deer along with location coordinates. Habitat types with which the deer were associated are also included. The other dataset “Records of mule deer found dead or live captured on the northern Yellowstone winter range, 1993-1997” details live captures and radio-collaring of female mule deer on the northern Yellowstone winter range and details of the known deaths of these deer. It also includes...
Categories: Data;
Tags: USGS Science Data Catalog (SDC),
Yellowstone National Park North,
biota,
live capture,
mortality,
Increased levels of natural gas exploration, development, and production across the Intermountain West have created a variety of concerns for mule deer (Odocoileus hemionus) populations, including direct habitat loss to road and well-pad construction and indirect habitat losses that may occur if deer use declines near roads or well pads. We examined winter habitat selection patterns of adult female mule deer before and during the first 3 years of development in a natural gas field in western Wyoming. We used global positioning system (GPS) locations collected from a sample of adult female mule deer to model relative frequency or probability of use as a function of habitat variables. Model coefficients and predictive...
Categories: Publication;
Types: Citation;
Tags: Global Positioning System (GPS),
Odocoileus hemionus,
Wyoming,
generalized linear model (GLM),
habitat selection,
MuleDeerConcentrationArea is an ESRI SDE Feature Classshowing that part of the overall range where higher quality habitat supports significantly higher densities than surrounding areas. These areas are typically occupied year round and are not necessarily associated with a specific season. Includes rough break country, riparian areas, small drainages, and large areas of irrigated cropland. This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003....
MuleDeerMigrationPatterns is an ESRI SDE Feature Class showing a subjective indication of the general direction of the movements of migratory ungulate herds. This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Dataset was acquired from a third party distributor who obtained it from CDOW in January 2011. The authoritative data source is available on ArcGIS.com (http://www.arcgis.com/home/item.html?id=e10b0db0167a4dde909357b5c13354f1)...
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...
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.
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.
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...
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...
This project will apply the results of an on-going climate change vulnerability assessment to the management of two complex landscapes. The vulnerability assessment project team will work with mangers, land-owners, and conservation practitioners to explore 1) how downscaled climate datasets, modeled vegetation changes, and information on estimated species sensitivities can be used to develop climate change adaptation strategies, and 2) how model results and datasets can be made more useful for informing the management of species and landscapes. To accomplish these two goals, we will prepare datasets and model outputs for two landscapespotentially, the Pioneer Mountains-Craters of the Moon region in Idaho and the...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate Change,
Columbia Basin,
Columbia Plateau,
Connectivity,
Conservation Plan/Design/Framework,
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