Between 2004 and 2011 bighorn sheep were darted in Glacier National Park and in Dinosaur National Monument. Blood was drawn. These are the genotypes resulting from an Ovine HD array from the bighorns. The first 3 columns refers to bighorn sheep identifiers: 'Herd_Unit', 'IndID', and 'AgencyID'. IndID is the identifier assigned at Montana State University. Subsequent columns each represent a locus, with the values in the locus representing the allele.

Tabular and raster data containing spatial capture recapture records for male and female bighorn sheep (Ovis canadensis nelsoni) in Grand Canyon National Park and surrounding landscape collected from 2010 to 2018 and associated tabular data files required for analysis of data with spatial capture connectivity models and raster data describing the ouput from SCR models. Associated tables and rasters include details for traps and genetic captures, and the state space for required modeling and associated spatial covariates in models, as well as rasters describing population density and habitat use.

From 2002 to 2011, 94 bighorn sheep were collared to collect GPS locations for approximately a year.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

Most of the Biggs mule deer herd is nonmigratory. Annual ranges are scattered throughout the relatively flat, low-elevation landscape near rivers such as John Day River, Deschutes River, Buck Hollow Creek, Ward Creek, and Hay Creek. Northern seasonal ranges occur in unforested expanses of grassland and Artemisia tridentata tridentata (basin big sagebrush), which are interspersed with farmland, nonnative annual grasses, and portions of intact sagebrush steppe. Grain and hay are economically important crops in the north where many mule deer ranges overlap winter wheat fields. Areas around the John Day Canyon and Deschutes River Canyon allow mule deer to access unfarmed habitat. Compared to the northern ranges, the southern ranges are more mountainous and feature higher proportions of Juniperus occidentalis (western juniper). Only 6.5 percent of the Biggs mule deer herd tracked for >100 days exhibited migratory behavior and distinct seasonal ranges. These three GPS-collared mule deer in the southern region of the Biggs herd management unit migrated to TV Ridge, Shoestring Ridge, and Ward Creek where Pinus ponderosa (ponderosa pine), western juniper, and mixed-conifer forests overtake herbaceous grasslands. Most land occupied by the Biggs herd is privately owned. Farmers can enroll fields in the Conservation Reserve Program and receive a yearly rental payment from the U.S. Department of Agriculture to remove land from agricultural production, thus reducing habitat loss (Farm Service Agency, 2023). Along with habitat degradation from the intrusion of invasive grasses and western juniper, Biggs mule deer are also negatively affected by U.S. Highway 97. From 2010 to 2022, the Oregon Department of Transportation (ODOT) recorded an average 30.5 deer-vehicle-collisions (DVCs; all local deer species) annually for a 77-mi (124-km) section of U.S. Highway 97 (ODOT, 2023). These mapping layers show the location of the annual ranges for mule deer (Odocoileus hemionus) in the Biggs population in Oregon. They were developed from 168 annual sequences collected from a sample size of 52 animals comprising GPS locations collected every 5-13 hours.

Most of the Biggs mule deer herd is nonmigratory. Annual ranges are scattered throughout the relatively flat, low-elevation landscape near rivers such as John Day River, Deschutes River, Buck Hollow Creek, Ward Creek, and Hay Creek. Northern seasonal ranges occur in unforested expanses of grassland and Artemisia tridentata tridentata (basin big sagebrush), which are interspersed with farmland, nonnative annual grasses, and portions of intact sagebrush steppe. Grain and hay are economically important crops in the north where many mule deer ranges overlap winter wheat fields. Areas around the John Day Canyon and Deschutes River Canyon allow mule deer to access unfarmed habitat. Compared to the northern ranges, the southern ranges are more mountainous and feature higher proportions of Juniperus occidentalis (western juniper). Only 6.5 percent of the Biggs mule deer herd tracked for >100 days exhibited migratory behavior and distinct seasonal ranges. These three GPS-collared mule deer in the southern region of the Biggs herd management unit migrated to TV Ridge, Shoestring Ridge, and Ward Creek where Pinus ponderosa (ponderosa pine), western juniper, and mixed-conifer forests overtake herbaceous grasslands. Most land occupied by the Biggs herd is privately owned. Farmers can enroll fields in the Conservation Reserve Program and receive a yearly rental payment from the U.S. Department of Agriculture to remove land from agricultural production, thus reducing habitat loss (Farm Service Agency, 2023). Along with habitat degradation from the intrusion of invasive grasses and western juniper, Biggs mule deer are also negatively affected by U.S. Highway 97. From 2010 to 2022, the Oregon Department of Transportation (ODOT) recorded an average 30.5 deer-vehicle-collisions (DVCs; all local deer species) annually for a 77-mi (124-km) section of U.S. Highway 97 (ODOT, 2023). These mapping layers show the location of the annual ranges for mule deer (Odocoileus hemionus) in the Biggs population in Oregon. They were developed from 168 annual sequences collected from a sample size of 52 animals comprising GPS locations collected every 5-13 hours.

Collection of microsatellite genetic data from multiple projects involving southern mule deer (Odocoileus hemionus fuliginatus) in San Diego County, California. Samples were collected 2005-2007, 2010, 2012-2013, 2015, and 2018-2020.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

We developed and report a microsatellite data set composed of 52 microsatellite loci for 2305 individuals from 20 bison conservation herds (17 US federal, 1 tribal, 2 Canadian) and a single nucleotide polymorphism (SNP) data set composed of 5013 biallic loci for 376 individuals from 16 bison conservation herds that were used as part of a broader study. We also developed an algorithm to select a subset of SNPs that captures the genetic variation present in the full SNP data set. Human expansion is a major driver of both declining wildlife species abundance and the contraction of species’ distributions, increasing the risk of genetic erosion and the need for genetic monitoring. Rapidly advancing technology has expanded the types of genetic data that are available for wildlife conservation. However, the use of different genetic markers could result in different management decisions and, thus, must be considered carefully. Rebounding from near extinction in the early 1900s, the majority of plains bison (Bison bison bison) are managed as small and isolated herds. Microsatellite-based analyses are currently used to inform management of the US federal bison conservation herds. Transitioning from monitoring with tens of multiallelic loci (e.g., microsatellite loci) to thousands of biallelic loci (e.g., SNP loci) could increase genotyping efficiency and improve the precision of population genetic inference but would require an understanding of the inferential differences between genetic marker types.