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These areas are of interest to conservationists due to both the restricted range sizes and need for protection from threats such as habitat loss. Habitat models for most species were generated using the random forest algorithm with (1) NatureServe Network, USGS BISON<\/a>, and other sources of population and locality data and (2) environmental predictors representing terrain, climate, land cover, soils, and hydrology. The modeling resolution for terrestrial species was either 30 m (most species) or 330 m (some wide-ranging species). Models for aquatic species used the medium resolution National Hydrography Dataset (NHD)<\/a> as the modeling unit. For species not amenable to random forest modeling, habitat maps were derived by buffering locality data and/or building simple deductive models based on habitat information. NatureServe converted habitat maps to a 990-m raster to provide a consistent unit of aggregation and avoid revealing the precise location of sensitive species. Range-size rarity for each species is the inverse of the total area mapped as suitable habitat (using the 990-m raster). Protection-weighted range-size rarity (PWRSR) maps combine information on both range-size rarity and the degree to which habitat for the species is protected. Protected habitat was defined as that occurring within protected areas managed for biodiversity (i.e., Gap Status 1 and 2 lands in the USGS Protected Areas Database<\/a>; PAD-US 2.0). Each species was assigned a PWRSR score equal to the product of range-size rarity and the percent of habitat that is unprotected. The PWRSR raster sums these scores for all species with habitat that overlaps a cell. 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This map depicts summed protection-weighted range-size rarity for Critically Imperiled (categorized by NatureServe<\/a> as \u201cG1\u201d), Imperiled (\u201cG2\u201d), and ESA-listed (i.e., full species listed as Endangered or Threatened under the Endangered Species Act) species in the taxonomic group specified in the layer name. High values identify areas where more unprotected, restricted-range species are likely to occur. These areas are of interest to conservationists due to both the restricted range sizes and need for protection from threats such as habitat loss. Habitat models for most species were generated using the random forest algorithm with (1) NatureServe Network, USGS BISON<\/a>, and other sources of population and locality data and (2) environmental predictors representing terrain, climate, land cover, soils, and hydrology. The modeling resolution for terrestrial species was either 30 m (most species) or 330 m (some wide-ranging species). 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Each species was assigned a PWRSR score equal to the product of range-size rarity and the percent of habitat that is unprotected. The PWRSR raster sums these scores for all species with habitat that overlaps a cell. 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