Filters: Types: GeoTIFF (X) > Types: Downloadable (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (41) Types Raster (42) Map Service (41) Citation (12) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts Karen Thorne, USGS Western Ecological Research Center , Research Ecologist USGS Western Ecological Research Center Mark Schwartz U.S. Geological Survey - ScienceBase U.S. Geological Survey More... Categories Data (42) Tag Types Theme (41) Science Themes (37) Organization (37) Place (8) Drought, Fire and Extreme Weather (37) Water, Coasts and Ice (24) Wildlife and Plants (13) More... Tag Schemes None (38) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (37) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (37) https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (37) https://www.sciencebase.gov/vocab/category/NCCWSC/WaterCoastsandIce (24) Common geographic areas (4) USGS Thesaurus (5) 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 Predicted daily elk abortion events in southern GYE 2010, 2012, 2014 Using data from 288 adult and yearling female elk that were captured on 22 Wyoming winter supplemental elk feedgrounds and monitored with GPS collars, we fit Step Selection Functions (SSFs) during the spring abortion season and then implemented a master equation approach to translate SSFs into predictions of daily elk distribution for 5 plausible winter weather scenarios (from a heavy snow, to an extreme winter drought year). We then predicted abortion events by combining elk distributions with empirical estimates of daily abortion rates, spatially varying elk seroprevalence, and elk population counts. Here we provide the predicted abortion events on a daily basis at a 500m resolution for the 5 different weather... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Brucella abortus, Cervus canadensis, Grand Teton National Park, Jackson, Lincoln, All tags... National Elk Refuge, Sublette, Teton, Wyoming, biota, brucellosis, cattle risk, daily abortion risk, disease transmission, elk, mammals, predictions, space use, step selection function, ungulate, wildlife disease, 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 Vegetation data for Southwest Forest Vulnerability Index 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, All tags... Southwest CASC, Wildlife and Plants, landfire, southwest, vegetation, 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 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 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 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 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 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 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 Humboldt, California: Tidal Marsh Bathymetry Digital Elevation Model We performed bathymetric surveys using a shallow-water echo-sounding system (Takekawa et al., 2010, Brand et al., 2012) comprised of an acoustic profiler (Navisound 210; Reson, Inc., Slangerup, Denmark), Leica RTK GPS Viva rover, and laptop computer mounted on a shallow-draft, portable flat-bottom boat (Bass Hunter, Cabelas, Sidney, NE; Figure 7). The RTK GPS obtained high resolution elevations of the water surface (reported precision 10 cm water depth. We recorded twenty depth readings and one GPS location each second along transects spaced 100 m apart perpendicular to the nearby salt marsh. We calibrated the system before use with a bar-check plate and adjusted the sound velocity for salinity and temperature differences.... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Bathymetry Survey, Drought, Fire and Extreme Weather, Extreme Weather, Humboldt Bay, Mad River Slough Marsh, All tags... Sea-Level Rise and Coasts, Southwest CASC, Water, Coasts and Ice, Fewer tags San Pablo, California: Tidal Marsh Bathymetry Digital Elevation Models We performed bathymetric surveys using a shallow-water echo-sounding system (Takekawa et al., 2010, Brand et al., 2012) comprised of an acoustic profiler (Navisound 210; Reson, Inc., Slangerup, Denmark), Leica RTK GPS Viva rover, and laptop computer mounted on a shallow-draft, portable flat-bottom boat (Bass Hunter, Cabelas, Sidney, NE; Figure 7). The RTK GPS obtained high resolution elevations of the water surface (reported precision 10 cm water depth. We recorded twenty depth readings and one GPS location each second along transects spaced 100 m apart perpendicular to the nearby salt marsh. We calibrated the system before use with a bar-check plate and adjusted the sound velocity for salinity and temperature differences.... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Bathymetry Survey, Drought, Fire and Extreme Weather, Extreme Weather, San Pablo Bay, Sea-Level Rise and Coasts, All tags... Southwest CASC, Water, Coasts and Ice, Fewer tags San Pablo, California: Tidal Marsh Digital Elevation Model To assess the current topography of the tidal marshes we conducted survey-grade elevation surveys at all sites between 2009 and 2013 using a Leica RX1200 Real Time Kinematic (RTK)Global Positioning System (GPS) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK network coverage (San Pablo, Petaluma, Pt. Mugu, and Newport), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Humboldt, Bolinas, Morro and Tijuana), rover positions were received in real time from a Leica GS10 antenna base station via radio link. When using the base station, we adjusted... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Drought, Fire and Extreme Weather, Elevation Survey, Extreme Weather, Marsh, San Pablo, All tags... Sea-Level Rise and Coasts, Southwest CASC, Water, Coasts and Ice, Fewer tags Morro Bay, California: Tidal Marsh Bathymetry Digital Elevation Models We performed bathymetric surveys using a shallow-water echo-sounding system (Takekawa et al., 2010, Brand et al., 2012) comprised of an acoustic profiler (Navisound 210; Reson, Inc., Slangerup, Denmark), Leica RTK GPS Viva rover, and laptop computer mounted on a shallow-draft, portable flat-bottom boat (Bass Hunter, Cabelas, Sidney, NE; Figure 7). The RTK GPS obtained high resolution elevations of the water surface (reported precision 10 cm water depth. We recorded twenty depth readings and one GPS location each second along transects spaced 100 m apart perpendicular to the nearby salt marsh. We calibrated the system before use with a bar-check plate and adjusted the sound velocity for salinity and temperature differences.... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Bathymetry Survey, Drought, Fire and Extreme Weather, Extreme Weather, Morro Bay, Sea-Level Rise and Coasts, All tags... Southwest CASC, Water, Coasts and Ice, Fewer tags 1 2 3 »