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Location Folder Show Tree ROOT _ScienceBase Catalog 3DSC Alaska Science Center (ASC) Alkalic Igneous Centers of the Great Plains and Rocky Mountains: Data in Support of Critical Mineral Resource Studies AMMonitor: Remote wildlife monitoring for adaptive management Amphibian Research and Monitoring Initiative More... Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (3) Types Downloadable (3) GeoTIFF (3) Map Service (3) Raster (3) Citation (1) Contacts Matthew A Struckhoff U.S. Geological Survey U.S. Geological Survey - ScienceBase CERC Data Managers Richard P Guyette More... Tag Types Theme (5) Place (5) Science Themes (3) Drought, Fire and Extreme Weather (3) Organization (3) Wildlife and Plants (3) Tag Schemes None (4) U.S. Board on Geographic Names (4) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (3) USGS Thesaurus (1) https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (3) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (3) https://www.sciencebase.gov/vocab/category/NCCWSC/WildlifeandPlants (3) More... View Results as: JSON ATOM CSV Browse Folder

Reference period and projected environmental suitability scores-Oaks These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Reference period and projected environmental suitability scores-Mesquite These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Reference period and projected environmental suitability scores-Pinyon-Juniper These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Table containing raw and normalized scores used to calculate vulnerability of 60 American Midwestern national parks to projected climate and land use changes for 2080-2099. This supplementary table contains raw and relative (normalized) data for metrics measuring exposure (yellow columns), sensitivity (green columns), constraints on adaptive capacity (blue columns), and vulnerability for units in the US National Park Service Midwest administrative region. Stippled columns contain relative (normalized) data used to calculate the corresponding component. Vulnerability (two climate scenarios) was calculated as the mean of the three components. Metrics marked with an asterisk (*) were not calculated for parks with footprints greater than 90% developed. Categories: Data; Types: Citation; Tags: Climate Change, Land Use, National Park Service Midwest Administrative Region, National Parks, Vulnerability Analysis South central US woody ecosystem type occurrence points (lat long) These point data (lat long coordinates) represent pixel centers for three woody ecosystem types found in Texas, Oklahoma and New Mexico. Points were extracted from the publicly available LANDFIRE Fire Environmental Site Potential (ESP) raster that we downgraded from 30 m to 1 km pixels. The three data sets include: Oak ESP occurrence points.csv; Mesquite ESP occurrence points; and Pinyon-juniper ESP occurrence points Categories: Data; Tags: Climate Change, Environmental Site Potential, Environmental Suitability Models, LANDFIRE, MAXENT, All tags... New Mexico, Oklahoma, Texas, Type localities, Fewer tags