This dataset details individual species and natural habitat vulnerability rankings, including contextual study-specific information. This data was collected from original publications found through a literature search. Information is cumulative to include climate change vulnerability assessment (CCVA) results summarized in Staudinger et al. (2015) and published as of December 2023.

The attached spreadsheets are ranked climate change vulnerability estimates of amphibians in the north central United States. All species are listed as species of greatest conservation need in at least one of the 7 states in the north central region (Montana, Wyoming, Colorado, North Dakota, South Dakota, Nebraska, and Kansas). Vulnerability scores are developed from exposure data from evapotranspiration deficit projections across 2 climate change scenarios, along with sensitivity and adaptive capacity traits from literature values and range maps. We used readily-available data from climate projections, range maps, and life history traits to score vulnerability in these data-deficient species, where more detailed life history information may not be available.

The attached spreadsheets are ranked climate change vulnerability estimates of amphibians in the north central United States. All species are listed as species of greatest conservation need in at least one of the 7 states in the north central region (Montana, Wyoming, Colorado, North Dakota, South Dakota, Nebraska, and Kansas). Vulnerability scores are developed from exposure data from evapotranspiration deficit projections across 2 climate change scenarios, along with sensitivity and adaptive capacity traits from literature values and range maps. We used readily-available data from climate projections, range maps, and life history traits to score vulnerability in these data-deficient species, where more detailed life history information may not be available.

Database of 915 threatened species and 108 threatened ecological communities in NSW with information on distribution, habitat, threat status, year of gazettal under Threatened Species Conservation Act and key threats. http://www.nswthreatenedspecies.net/

Several reserves collaborated to develop the Climate Change Vulnerability Assessment Tool for Coastal Habitats. The tool helps decision makers evaluate a habitat’s vulnerability to climate change and prioritize it for conservation or restoration. South Carolina’s North Inlet-Winyah Bay Reserve and the Chesapeake Bay Virginia Reserve worked with local partners to refine and pilot this tool and share it with the national reserve system.

This file provides a table of all the of Species of Greatest Conservation Need listed in the North Central states' (MT, WY, CO, ND, SD, NE, and KS) State Wildlife Action Plans as of summer 2020. Species are organized by the number of states which listed them as Species of Greatest Conservation Need, and then by scientific name. Federal status is also provided for each species. This table is adapted from an unpublished species list compiled by the North Central Climate Adaptation Science Center.

This file provides a table of all the of Species of Greatest Conservation Need listed in the North Central states' (MT, WY, CO, ND, SD, NE, and KS) State Wildlife Action Plans as of summer 2020. Species are organized by the number of states which listed them as Species of Greatest Conservation Need, and then by scientific name. Federal status is also provided for each species. This table is adapted from an unpublished species list compiled by the North Central Climate Adaptation Science Center.

This file provides a table of all the of Species of Greatest Conservation Need listed in the North Central states' (MT, WY, CO, ND, SD, NE, and KS) State Wildlife Action Plans as of summer 2020. Species are organized by the number of states which listed them as Species of Greatest Conservation Need, and then by scientific name. Federal status is also provided for each species. This table is adapted from an unpublished species list compiled by the North Central Climate Adaptation Science Center.

This dataset contains the components of and resultant Rarity and Climate Sensitivity (RCS) values for 90 species of frogs and toads native to the conterminous United States. The RCS metric uses point occurrences to describe area of occurrence, quantifies the variation of climate conditions within that area, and combines and scales the two for a multispecies assessment of intrinsic sensitivity to climate change. The RCS metric was calculated at two geographic extents, the conterminous US and the North American continent. We also used two spatial grains: 1 km buffered occurrence points and small watersheds (Hydrologic Unit Code (HUC) 12 watershed boundaries within and HydroBASIN level 12 watershed boundaries outside the conterminous US). Point occurrences from the Global Biodiversity Information Facility (GBIF) and HerpMapper were used to calculate area of occurrence at each spatial extent and grain size. Climate specificity was calculated by extracting five bioclimatic variables (annual mean temperature, maximum temperature of the warmest month, minimum temperature of the minimum month, annual precipitation, and precipitation seasonality) from the area of occurrence and calculating the area-weighted standard deviation of each climate variable for each species. Rarity, as described by area of occurrence, and climate sensitivity is scaled and combined to form the RCS index. Because we evaluated the relationships among intrinsic sensitivity, taxonomy, and conservation status, species taxonomic family, genera, International Union for the Conservation of Nature Red List status, Endangered Species Act status, and Species of Greatest Conservation Need status is included in this dataset. Each row contains the calculated RCS index and its components for two spatial grain sizes for a unique species and spatial extent combination (90 species x 2 spatial extents = 180 rows). First posted - June 27, 2022 (available from author) Revised - October 20, 2022 (version 2.0)

This dataset contains the components of and resultant Rarity and Climate Sensitivity (RCS) values for 90 species of frogs and toads native to the conterminous United States. The RCS metric uses point occurrences to describe area of occurrence, quantifies the variation of climate conditions within that area, and combines and scales the two for a multispecies assessment of intrinsic sensitivity to climate change. The RCS metric was calculated at two geographic extents, the conterminous US and the North American continent. We also used two spatial grains: 1 km buffered occurrence points and small watersheds (Hydrologic Unit Code (HUC) 12 watershed boundaries within and HydroBASIN level 12 watershed boundaries outside the conterminous US). Point occurrences from the Global Biodiversity Information Facility (GBIF) and HerpMapper were used to calculate area of occurrence at each spatial extent and grain size. Climate specificity was calculated by extracting five bioclimatic variables (annual mean temperature, maximum temperature of the warmest month, minimum temperature of the minimum month, annual precipitation, and precipitation seasonality) from the area of occurrence and calculating the area-weighted standard deviation of each climate variable for each species. Rarity, as described by area of occurrence, and climate sensitivity is scaled and combined to form the RCS index. Because we evaluated the relationships among intrinsic sensitivity, taxonomy, and conservation status, species taxonomic family, genera, International Union for the Conservation of Nature Red List status, Endangered Species Act status, and Species of Greatest Conservation Need status is included in this dataset. Each row contains the calculated RCS index and its components for two spatial grain sizes for a unique species and spatial extent combination (90 species x 2 spatial extents = 180 rows). First posted - June 27, 2022 (available from author) Revised - October 20, 2022 (version 2.0)