Filters: Tags: conservation (X) > partyWithName: ScienceBase Data Release Team (X) > Categories: Data (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions ArcGIS REST Service (4) ArcGIS Service Definition (1) Types ArcGIS REST Map Service (5) Map Service (5) ArcGIS Service Definition (1) Citation (1) Downloadable (1) More... Contacts U.S. Geological Survey Alexa McKerrow Dr. Alexa McKerrow Nathan Tarr North Carolina State University, Cooperative Fish and Wildlife Research Unit More... Tag Types Theme (5) Place (5) Tag Schemes USGS Thesaurus (5) USGS Biocomplexity Thesaurus (4) Geographic Names Information System (GNIS) (5) ISO 19115 Topic Categories (4) View Results as: JSON ATOM CSV

U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags U.S. Geological Survey - Gap Analysis Project Bird Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags USGS Gap Analysis Project - Additional Data – Elevation Some species respond to environments directly related to altitudinal variation. Elevation (e.g., DEM) is easily implemented in spatial modeling by limiting the model to the minimum and maximum values explicitly stated in the literature. DEMs are utilized directly and are measured in meters above mean sea level. The elevation dataset was derived from the National Elevation Dataset, elevation units are reported in meters. For more information regarding the National Elevation Dataset, see http://ned.usgs.gov/. This is a continuous data layer. These data are divided into 6 regions across the US (Northwest, Southwest, Great Plains, Upper Midwest, Southeast, and Northeast). If you want complete coverage of the entire... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Biodiversity, Conservation, Digital Elevation Model, Elevation, National Elevation Dataset, All tags... Topography, United States, Fewer tags U.S. Geological Survey - Gap Analysis Project Mammal Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags U.S. Geological Survey - Gap Analysis Project Amphibian Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags