Determining Priority Amphibian and Reptile Conservation Areas (PARCAs) in the South Atlantic landscape, and assessing their efficacy for cross-taxa conservation: Geographic Dataset
GIS layers depicting South Atlantic Priority Amphibian and Reptile Conservation Areas (PARCAs)
This shapefile was developed in a project that identified areas with potential habitat for priority amphibian and reptile species or that likely support a noteworthy diversity of reptile or amphibian species in the North Atlantic Landscape Conservation Cooperative (http://nalcc.databasin.org/pages/about-north-atlanticlcc) and Northeast Partners in Amphibian and Reptile Conservation (northeastparc.org) regions. Our approach spatially applied the Priority Amphibian and Reptile Conservation Area (PARCA) System Criteria and Implementation Guidelines (PARCA Guidance; Sutherland and deMaynadier 2012) to combine amphibian and reptile species occurrence data and spatial environmental variables to predict and map habitat...
Species observations from pitfall trap arrays, species pool matrices, and patch locations in southern California from 1995-2015
Observations (reduced to detected/not detected) of 45 vertebrate species (seven mammals, seven amphibians, and 31 reptiles) across Southern California pitfall sampling projects conducted between 1995 through 2015. Habitat patch locations of every pitfall sampling project presented in a shapefile. Habitat patches were measured based on the size when pitfall sampling began within each. Sampling projects within the same geographic area may have different sized patches based on date of project sampling and if patch erosion occurred. A matrix of whether each species was expected within each habitat patch's species pool based on range maps and published records is also included. These data support the following publication:...
At-risk and range restricted species models: Geographic Datasets for Heterodon simus (Southern Hognose Snake)
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
Differences between Used and Available Microhabitats and Vegetation Types for Giant Gartersnakes Associated with a Restored Marsh in California
These data describe differences in percent cover of microhabitats and vegetation types at giant gartersnake locations and random points paired with giant gartersnake locations for use in case-control logistic regression. The data also include information on the individual snake, the year of observation, and whether the individual had moved from its previous location to allow for correlation of the data within individuals and locations
Appendix 4.26, 4.31, 4.32, and 4.33 in Kentucky's Comprehensive Wildlife Conservation Plan. Each taxonomic conservation area (6 total) was assigned a value of 1 and then all were summed together. Ecoregions with values of 4 or more were considered tier I areas
How well are we protecting common plants and animals? Gap Analysis is the science of answering this question. Developing the data and tools to support that science is the mission of the USGS Gap Analysis Program (GAP). GAP works to ensure that common species – those that are not officially endangered – remain common by identifying those species and plant communities that are not adequately represented in existing conservation lands. Learn more about Gap Analysis >> We work with a wide range of government, academic, non-profit and private partners, providing them with essential data and analyses that they can use to protect the habitats on which the survival of common species depends.