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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (8) Types Downloadable (8) Map Service (8) Contacts U.S. Geological Survey Esther D Stroh Aaron T Pearse Matthew A Struckhoff David A Brandt More... Tag Types Theme (7) Place (7) Science Themes (4) Drought, Fire and Extreme Weather (4) Organization (4) NCCWSC Science Themes (1) Wildlife and Plants (3) More... Tag Schemes Common geographic areas (4) None (4) USGS Thesaurus (4) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (4) U.S. Board on Geographic Names (3) ISO 19115 Topic Category (4) https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (4) More... View Results as: JSON ATOM CSV

Predicted relative habitat selection for migrating whooping cranes in the United States Great Plains, non-drought The whooping crane (Grus americana) is a listed, endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and spend a nonbreeding period along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface is a composite of drought and non-drought conditions... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Kansas, Migratory birds, Montana, Nebraska, North Dakota, All tags... Oklahoma, South Dakota, Texas, biota, birds, endangered species, environment, migration (organisms), plant and animal tracking, Fewer tags Predicted relative habitat selection for migrating whooping cranes in the United States Great Plains, drought The whooping crane is a listed endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and winter along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface represents predictions under drought conditions across the study area. Pixel values... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Kansas, Migratory birds, Montana, Nebraska, North Dakota, All tags... Oklahoma, South Dakota, Texas, biota, birds, endangered species, environment, migration (organisms), plant and animal tracking, Fewer tags Predicted relative habitat selection for migrating whooping cranes in the United States Great Plains, averaged The whooping crane (Grus americana) is a listed, endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and spend a nonbreeding period along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface is a composite of drought and non-drought conditions... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Kansas, Migratory birds, Montana, Nebraska, North Dakota, All tags... Oklahoma, South Dakota, Texas, biota, birds, endangered species, environment, migration (organisms), plant and animal tracking, Fewer tags Threshold and confidence interval rasters (PROSPER) The threshold raster includes the raw streamflow permanence probability value at a given pixel that represents the estimated critical value to differentiate between wet conditions (above the threshold) and dry conditions (below the threshold). Confidence interval rasters indicate the value above or below the threshold corresponding to the nth percentile of confidence that the pixel is wet (above) or dry (below). Raw streamflow permanence probabilities were produced by the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Data Visualization & Tools, Data Visualization & Tools, Drought, Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, All tags... Northwest CASC, Rivers, Streams and Lakes, Science Tools For Managers, Science Tools For Managers, Water, Coasts and Ice, Water, Coasts and Ice, Fewer tags Time series of expected livestock forage biomass in the semi-arid grasslands of the western U.S. (2000-2018) Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage production in semi-arid grasslands proved to be a successful method in a case study covering the Nebraska Sandhills. In this study we developed a time series (2000-2018) of the Expected Ecosystem Performance (EEP), which serves as a proxy for annual forage production after accounting for non-climatic influences, while minimizing... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Land Use Change, NDVI, USGS Science Data Catalog (SDC), United States, biomass, All tags... biota, drought impact, droughts, ecosystem management, farming, forage production, rangeland productivity, regression analysis, regression tree model, remote sensing, semi-arid grasslands, terrestrial ecosystems, western U.S., 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 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