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Forest exposure (vulnerability) index, 2061-2080, based on MRI-CGCM3 RCP85 Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Meteorological Research Institute's Coupled Atmosphere-Ocean General Circulation Model, version 3, and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2061-2080, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2041-2060, based on MIROC-ESM-CHEM RCP85 Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2041-2060, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MIROC-ESM-CHEM, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2061-2080, based on MRI-CGCM3 RCP45 Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the MRI-CGCM3 GCM and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 - 10%; still very good); ... ; 95 (90 - 95%; within the historical distribution, but getting... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2061-2080, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp45, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2041-2060, based on MRI-CGCM3 RCP45 Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Meterological Research Institute's Coupled Atmosphere-Ocean General Circulation Model (MRI-CGCM3) and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2041-2060, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp45, vegetation, vulnerability, worldclim, Fewer tags laysan_island_wv2_2010may18.tif Worldview-2 Satellite Image of Lysan Island Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Birds, NCCWSC, National CASC, Satellite, Sea-Level Rise and Coasts, All tags... Sea-Level Rise and Coasts, Water, Coasts and Ice, Wildlife and Plants, Fewer tags laysan_island_1m_dem.tif Stereo Worldview-2 Satellite, digital elevation data for Lysan Island Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Birds, NCCWSC, National CASC, Sea-Level Rise and Coasts, Sea-Level Rise and Coasts, All tags... Water, Coasts and Ice, Wildlife and Plants, elevation, Fewer tags 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 Projected future habitat suitability for the Greater Sage Grouse, 2070-2099, based on the CGCM31 climate model This map contains projected habitat suitability for the greater sage-grouse (centrocercus urophasianus) under the Third Generation Coupled Global Climate Model (CGCM 3.1). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution for western North America. We refined the... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Birds, CGCM31, Data Visualization & Tools, Greater Sage Grouse, Mammals, All tags... Northwest CASC, Other Wildlife, Plants, Science Tools For Managers, Third Generation Coupled Global Climate Model, Wildlife and Plants, biodiversity, centrocercus urophasianus, prediction, vulnerabilty assessment, Fewer tags Baseline forest exposure (vulnerability) index, 1950-2000, southwestern United States Exposure (vulnerability) index for the baseline time period (1950-2000) representing historical conditions. The exposure model uses LANDFIRE vegetation data and Worldclim climate data . This raster represents the baseline exposure values from the Worldclim "Current" time period (1950-2000). There were four climate scenarios evaluated under the Southwest Climate Change Vulnerability project (MG - RCP 45; MG - RCP 85; MI - RCP 45; MI - RCP 85). Because the model is fit on the four scenarios independently, there are minor differences in the baseline exposure values. This raster simplifies the outputs by combining the four baseline exposure rasters, and can be used with any of the projected futures.The raster values... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 1950-2000, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2041-2060, based on MRI-CGCM3 RCP85 Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Meteorological Research Institute's Coupled Atmosphere-Ocean General Circulation Model, version 3, and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2041-2060, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MRI-CGCM3, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2061-2080, based on MIROC-ESM-CHEM RCP85 Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2061-2080, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MIROC-ESM-CHEM, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp85, vegetation, vulnerability, worldclim, Fewer tags Historical habitat suitability for the Greater Sage Grouse, 1961-1990 This map contains historical habitat suitability for the greater sage-grouse (centrocercus urophasianus). In support of the Pacific Northwest Climate Change Vulnerability Assessment (www.climatevulnerability.org), we developed a method to model habitat suitability in which we built correlative climate suitability models for 366 terrestrial animal species at a relatively coarse spatial resolution for the entire North American continent, using species range maps and 23 bioclimatic variables. We then applied the models to both current and projected future climate data downscaled to a moderately fine resolution for western North America. We refined the resulting climate suitability projections by applying a filter that... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Birds, Data Visualization & Tools, Greater Sage Grouse, Mammals, Northwest CASC, All tags... Other Wildlife, Plants, Science Tools For Managers, Wildlife and Plants, biodiversity, centrocercus urophasianus, prediction, vulnerabilty assessment, 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 Forest exposure (vulnerability) index, 2041-2060, based on MIROC-ESM-CHEM RCP45 Exposure (vulnerability) index for the future time period (2041-2060) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2041-2060, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MIROC-ESM-CHEM, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp45, vegetation, vulnerability, worldclim, Fewer tags Forest exposure (vulnerability) index, 2061-2080, based on MIROC-ESM-CHEM RCP45 Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Model for Interdisciplinary Research on Climate, Earth System Model, Chemistry Coupled (MIROC-ESM-CHEM) and the rcp45 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 2061-2080, Drought, Fire and Extreme Weather, Fire, Forests, Landscapes, All tags... MIROC-ESM-CHEM, Plants, Southwest CASC, Southwest CSC, Wildlife and Plants, exposure, rcp45, vegetation, vulnerability, worldclim, Fewer tags