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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 -...
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The USGS National Climate Change and Wildlife Science Center (NCCWSC), as part of the work of the Interagency Land Management Adaptation Group (ILMAG), initiated a project in 2013 to develop plans for a searchable, public registry on climate change vulnerability assessments. Member agencies from the USGCRP Adaptation Science Work Group, the Association of Fish and Wildlife Agencies (AFWA), and several NGO’s also contributed. Vulnerability assessments are important for identifying resources that are most likely to be affected by climate change and providing insights on why certain resources are vulnerable. Consequently, they provide valuable information for informing climate change adaptation planning. CRAVe allows...
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...
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...
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 -...
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Current (1980-2009) and future (2035-2064) bird abundance estimates from a boosted regression tree (BRT) model for 31 avian species in Oregon and Washington state based on avian point count data and eBird data (www.ebird.org) together with climate covariates, and vegetation covariates driven by MC2, a dynamic global vegetation model (DGVM). Current climate data was based on PRISM (www.prism.oregonstate.edu/). Future climate data was based on downscaled projections (4km) of the GCMUSED global climate model developed by the Multivariate Adaptive Constructed Analogs (MACA) project. This downscaled data is part of the MACAv1-METDATA dataset (maca.northwestknowledge.net/) for the Representative Concentration Pathway...
Categories: Data; Types: GeoTIFF, Raster; Tags: Birds, Brewer's Sparrow (Spizella breweri), Brown Creeper (Certhia americana), Chipping Sparrow (Spizella passerina), Data Visualization & Tools, All tags...
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Derived from the LANDFIRE Existing Vegetation data (http://www.landfire.gov/vegetation.php). This dataset has been resampled from the 30 m resolution of the source data to 300 m. The resampling was done using a majority filter so that cells in the new raster represent the most common type from the original raster. The main use for this dataset is in conjunction with Southwest Forest Vulnerability Index rasters, which contain the modeled vegetation exposure scores for several projected future climate scenarios. This raster can be used as an index of the vegetation type being modeled at each location.
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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....
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This dataset represents a climate-informed management alternative for maintaining whitebark pine (Pinus albicaulis) in the Greater Yellowstone Ecosystem. This data was developed for use in a landscape simulation modeling study aimed at evaluating how well alternative management strategies maintain whitebark pine populations under historical climate and future climate conditions. For the study, we developed three spatial management alternatives for whitebark pine in the Greater Yellowstone Ecosystem representing no active management, current management, and climate-informed management. These management alternatives were implemented in the simulaton model FireBGCv2 under historical climate and three future climate...
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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...
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...
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 -...
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...
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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...
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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....
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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....
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Terrestrial ecosystems are vulnerable to future changes in the global climate, including increased temperatures, changing precipitation patterns, and changes in vegetation. Information on the potential effects of climate change on bird communities can help guide effective conservation and inform land management decisions. We used output from MC2, a dynamic global vegetation model (DGVM), and climate models to inform the potential distribution of vegetation types based on hybrid vegetation maps dervied from the GAP vegetation classification system. These hybrid vegetation models were then used to inform bird distribution models0. The data covers three time periods (1970-1999), (2035-2064), and (2070-2099) for 59...
Categories: Data; Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Birds, Birds, California Central Valley Mixed Oak Savanna, California Central Valley Riparian Woodland and Shrubland, California Coastal Live Oak Woodland and Savanna, All tags...
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This dataset represents current management alternatives for maintaining whitebark pine (Pinus albicaulis) in the Greater Yellowstone Ecosystem. This data was developed for use in a landscape simulation modeling study aimed at evaluating how well alternative management strategies maintain whitebark pine populations under historical climate and future climate conditions. For the study, we developed three spatial management alternatives for whitebark pine in the Greater Yellowstone Ecosystem representing no active management, current management, and climate-informed management. These management alternatives were implemented in the simulaton model FireBGCv2 under historical climate and three future climate change scenarios...


map background search result map search result map Development of the Climate Registry for the Assessment of Vulnerability (CRAVe): A Searchable, Public Online Tool for Understanding Species and Habitat Vulnerability Historical habitat suitability for the Greater Sage Grouse, 1961-1990 Projected future habitat suitability for the Greater Sage Grouse, 2070-2099, based on the CGCM31 climate model Vegetation data for Southwest Forest Vulnerability Index Vegetation data for 1970-1999, 2035-2064, and 2070-2099 for 59 vegetation types Spatial Prioritization of White Bark Pine Management Actions based on climate-informed management under the CESM1-CAM5, RCP 8.5 scenario, 2069-2099. Spatial Prioritization of WBP Management Actions based on current management Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Reference period and projected environmental suitability scores-Pinyon-Juniper Reference period and projected environmental suitability scores-Oaks Reference period and projected environmental suitability scores-Mesquite Spatial Prioritization of White Bark Pine Management Actions based on climate-informed management under the CESM1-CAM5, RCP 8.5 scenario, 2069-2099. Spatial Prioritization of WBP Management Actions based on current management Avian Abundance Data for Current (1980-2009) and Future (2035-2064) time periods in Oregon and Washington Vegetation data for 1970-1999, 2035-2064, and 2070-2099 for 59 vegetation types Vegetation data for Southwest Forest Vulnerability Index Projected future habitat suitability for the Greater Sage Grouse, 2070-2099, based on the CGCM31 climate model Historical habitat suitability for the Greater Sage Grouse, 1961-1990 Reference period and projected environmental suitability scores-Pinyon-Juniper Reference period and projected environmental suitability scores-Oaks Reference period and projected environmental suitability scores-Mesquite Development of the Climate Registry for the Assessment of Vulnerability (CRAVe): A Searchable, Public Online Tool for Understanding Species and Habitat Vulnerability