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 used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the genetic diversity and demography within seven focal sites of the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia). As Thamnophis sirtalis tetrataenia is listed as endangered by the U.S. Fish and Wildlife Service (USFWS), sensitive location information can be made available upon request by contacting Brian J. Halstead and/or Amy G. Vandergast.

These data were collected to determine how genetic variation is arrayed across remaining populations of gnatcatchers, allowing inference about individual movement and gene flow patterns among those populations. The work focused on determining the extent to which gnatcatcher aggregations function as an interconnected metapopulation, with aggregations exchanging migrants across a fragmented landscape and freely capable of re-establishing in patches from which they have been previously extirpated. These data will be used in combination with habitat and corridor indices to determine whether genetic connectivity is facilitated by stepping stone arrays of suitable habitat, or whether birds are unable to move across unsuitable habitat regardless of distance. The genetic data will also provide information on distances that individual birds will disperse for breeding. These data were used to support the following publication:

We investigated fine-scale genetic patterns of the federally threatened Eastern Massasauga Rattlesnake (Sistrurus catenatus) on a relatively undisturbed island in northern Michigan, USA. This species often persists in habitat islands throughout much of its distribution due to extensive habitat loss and distance-limited dispersal. These data are from 102 individual Eastern Massasauga Rattlesnakes sampled at Bois Blanc Island, Michigan and genotyped at 15 microsatellite loci. Samples were collected as part of a study to examine functional connectivity for the Eastern Massasauga. We found that the entire island population exhibited weak genetic structuring with spatially segregated variation in effective migration and genetic diversity.

Here we provide public access to UCE DNA sequences for all genetic samples in Byerly et al. 2022b.

This dataset contains 253 samples from 11 occurrences of Chloropyron molle subsp. molle, and 3 occurrences of Chloropyron molle hispidum. Genomic markers were generated from ddRAD loci and analyzed using the Stacks v2.60 pipeline. The genotypes for all samples are provided in a VCF file with 40,707 independent loci . A companion sample data file is provided with sample names, and occurrence designations, and other data. These files may be opened and edited in a text editor program, such as Notepad (PC) or BBEdit (Mac). The .vcf file can be loaded into the Stacks population program to calculate genetic diversity statistics, or loaded into R, using vcfR, for further analysis.

These data contain Genbank Accession numbers for DNA amplified and sequenced from a subset of Environmental Samplers that were positive for Ceratocystis lukuohia and Austropuccinia by quantitative PCR (qPCR)

This data set describes blood and tissue samples collected from Mariana common moorhens from 2000-2001 in Guam and Saipan.

This data set describes blood and tissue samples collected from Mariana common moorhens from 2000-2001 in Guam and Saipan.