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Filters: partyWithName: Forest and Rangeland Ecosystem Science Center (X) > partyWithName: Ecosystems (X) > Extensions: ArcGIS Service Definition (X)

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This feature estimates the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures. This layer does not represent the realized distribution of sagebrush and should not be used to summarize statistics about the distribution or precise location of sagebrush across the landscape. This layer is intended to generalize the sagebrush biome distribution using Landsat derived classified vegetation rasters (Rigge at al. 2019), Bureau of Land Management-designated Habitat Management Areas, state-designated Priority Areas for Conservation for sage-grouse, the...
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These data depict reptile species richness within the range of the Greater Sage-grouse. Species boundaries were defined as the total extent of a species geographic limits. This raster largely used species range data from "U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001", however in order for a more complete picture of species richness, additional sources were used for species missing from the Gap Analysis program.
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***This data set is superseded by Welty, J.L., and Jeffries, M.I., 2021, Combined wildland fire datasets for the United States and certain territories, 1800s-Present: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZXGFY3.*** This dataset is comprised of four different zip files. Zip File 1: A combined wildfire polygon dataset ranging in years from 1878-2019 (142 years) that was created by merging and dissolving fire information from 12 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various source data, including fire name, fire code, ignition date, controlled date, containment date, and...
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Heat load, a unitless value from 0 (low incident radiation) to around 1 (high incident radiation), is calculated using aspect, slope, and latitude (McCune and Dylan 2002). For the purposes of the exploration tool, the data are binned into 6 classes using Geometric Interval. Classes range from very low to very high and are designed to allow the classification of a polygon into its heat load types. McCune, B. and Keon, D., 2002, Equations for potential annual direct incident radiation and heat load: Journal of Vegetation Science, v. 13, no. 4, p. 603-606, https://doi.org/10.1111/j.1654-1103.2002.tb02087.x.
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These data are 30m by 30 m grids of the mean Standardized Precipitation-Evapotranspiration Index (SPEI) between 2001-2014 in the western United States. The SPEI index was developed by Sergio M. Vicente-Serrano and coauthors (https://spei.csic.es/index.html). Source evapotranspiration and precipitation data were generated by gridMET (http://www.climatologylab.org/gridmet.html).
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"Vector Ruggedness Measure (VRM) measures terrain ruggedness as the variation in three-dimensional orientation of grid cells within a neighborhood. Vector analysis is used to calculate the dispersion of vectors normal (orthogonal) to grid cells within the specified neighborhood. This method effectively captures variability in slope and aspect into a single measure. Ruggedness values in the output raster can range from 0 (no terrain variation) to 1 (complete terrain variation). Typical values for natural terrains range between 0 and about 0.4. VRM was adapted from a method first proposed by Hobson (1972). VRM appears to decouple terrain ruggedness from slope better than current ruggedness indices, such as TRI or...
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This raster portrays the distribution of sagebrush within the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures and to calculate summary statistics. This distribution incorporates the most recently available sagebrush cover mapping (Xian et al. 2015, Rigge et al. 2019) and classified LANDFIRE EVT (Department of Ecosystem Science, University of Wyoming 2016). Both datasets were rigorously evaluated and extensive ground measurements taken to evaluate accuracy by the respective authors. We created a combined binary sagebrush distribution by classifying...
    map background search result map search result map Western United States 30m Heatload Values Western US Ruggedness Reclassified into 6 Classes Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Sagebrush Distribution within the Biome Range Extent, as Derived from Classified Landsat Imagery Combined wildfire datasets for the United States and certain territories, 1878-2019 Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps Sagebrush Distribution within the Biome Range Extent, as Derived from Classified Landsat Imagery The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Western United States 30m Heatload Values Western US Ruggedness Reclassified into 6 Classes Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates Combined wildfire datasets for the United States and certain territories, 1878-2019