Filters: Tags: {"scheme":"https://www.sciencebase.gov/vocab/category/NCCWSC/WildlifeandPlants"} (X) > Types: Raster (X)
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Categories Tag Types Tags (with Scheme=https://www.sciencebase.gov/vocab/category/NCCWSC/WildlifeandPlants) |
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,
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...
Categories: Project;
Types: GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: 2013,
CASC,
Climate Change,
Completed,
Data Visualization & Tools,
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,
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,
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,
Projected current and future distributions of two tree species, Pinus albicaulis (Whitebark pine), Artemisia tridentata (Big Sagebrush), based on empirical bioclimatic models. Many recent changes in tree mortality, tree species distributions, and tree growth rates have been linked to changes in climate. Given that future climatic changes will likely surpass those experienced in the recent past, trees will likely face additional challenges as temperatures continue to rise and precipitation regimes shift. Managing forests in the face of climate change will require a basic understanding of which tree species will be most vulnerable to climate change and in what ways they will be vulnerable. We assessed the relative...
Categories: Data;
Types: Downloadable,
Map Service,
Raster;
Tags: Artemisia tridentata,
Big Sagebrush,
British Columbia,
Data Visualization & Tools,
Idaho,
This dataset provides an estimate of 2016 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data with independent variables that influence cheatgrass germination and growth into a regression-tree model. Individual pixel values range from 0 to 100 with an overall mean value of 15.4 and a standard deviation of 15.0. A mask covers areas not classified as shrub/scrub or grass/herbaceous by the 2001 National Land Cover Database. The mask also covers areas higher than 2000 meters in elevation because cheatgrass is unlikely to exist at more than 2% cover above this threshold. Cheatgrass is an invasive grass that has invaded...
These 1830 maps contain projected current and future change in habitat suitability for 366 species under the Third Generation Coupled Global Climate Model (CGCM 3.1) and Hadley Centre Coupled Model, version 3 (HADCM3). 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...
Categories: Data;
Types: Raster;
Tags: Birds,
CGCM31,
Data Visualization & Tools,
HADCM3,
Hadley Centre Coupled Model,
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,
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,
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,
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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Raster;
Tags: Drought, Fire and Extreme Weather,
Fire,
Forests,
Landscapes,
Plants,
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,
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,
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,
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,
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,
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,
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,
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,
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