Data

This dataset represents a species habitat distribution model for Uinta Ground Squirrel. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.

This dataset represents a species known range extent for Spermophilus armatus (Uinta Ground Squirrel). These range maps are created by attributing sub-watershed polygons with information of a species presence, origin, seasonal and reproductive use.

This dataset represents a species habitat distribution model for Underwood's Mastiff Bat. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.

This dataset represents a species known range extent for Eumops underwoodi (Underwood's Mastiff Bat). These range maps are created by attributing sub-watershed polygons with information of a species presence, origin, seasonal and reproductive use.

This dataset represents a species habitat distribution model for Upland Chorus Frog. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.

This dataset represents a species known range extent for Pseudacris feriarum (Upland Chorus Frog). These range maps are created by attributing sub-watershed polygons with information of a species presence, origin, seasonal and reproductive use.

This dataset represents a species habitat distribution model for Upland Sandpiper. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.

This dataset represents a species known range extent for Bartramia longicauda (Upland Sandpiper). These range maps are created by attributing sub-watershed polygons with information of a species presence, origin, seasonal and reproductive use.

This dataset was used in the USGS Gap Analysis Project (GAP) species habitat distribution modeling process. Processing constraints made it impractical to model the species habitat distributions across the full conterminous U.S. in one model. The modeling regions were used to stratify the lower 48 states into modeling extents that could be efficiently used in our workflow. The regions were based on

Aspect is the compass direction toward which a slope faces, measured in degrees from North in a clockwise direction from 0 to 360. Aspect was generated using ArcGIS Spatial Analyst, with the USGS National Elevation Dataset as input. For quality information regarding the National Elevation Dataset, see http://nationalmap.gov/elevation.html. These data cover the entire continental U.S. and are a con

Some species respond to the amount of canopy cover within a habitat type. The Percent Canopy Cover dataset was derived from the National Land Cover Dataset. The canopy cover database was compiled from the National Land Cover Dataset, and classifies each pixel into 101 possible values (0% - 100%). The canopy density estimate applies to the forest classes only. For further information on Canopy Cove

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