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Lake Erie, Western Basin Aquatic Vegetation data Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Asian Carp, Emergent Vegetation, Erie County, Grass Carp, Great Lakes, All tags... Lake Erie, Lake Erie Western Basin, Lucas County, Michigan, Monroe County, Ohio, Ottawa County, Sandusky Bay, Sandusky County, Submersed Aquatic Vegetation, aerial photography, aquatic vegetation, habitats, image collections, invasive species, object-based image analysis, remote sensing, vegetation mapping, Fewer tags Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 Data on 17 metrics of shale gas development in the Pennsylvania portion of the Upper Susquehanna River basin that was collated from a variety of sources and summarized at the upstream catchment scale. Data were also standardized by upstream area and transformed into rank scores based on metric distribution and then summarized into a Disturbance Intensity Index (DII). See Maloney et al. 2018 for detailed descriptions of each data sets and limitations of data. (Maloney, K. O., J. A. Young, S. P. Faulkner, A. Hailegiorgis, E. T. Slonecker, and L. E. Milheim. 2018. A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A. Science... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ecology, Pennsylvania portion of the Upper Susquehanna River basin, USGS Science Data Catalog (SDC), biota, environment, All tags... inlandWaters, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Wyoming), Interim wy_lvl2_finescale: Wyoming hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011 This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Landsat TM, NDVI, Normalized Difference Vegetation Index, Sonoran Desert, All tags... Southwestern United States, USGS Science Data Catalog (SDC), Yuma Proving Ground, biota, climatologyMeteorologyAtmosphere, ephemeral stream channels, monsoon season, Fewer tags Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Nevada, Virgin River, active channel, biota, All tags... lidar, orthophotography, remote sensing, Fewer tags Data supporting Landsat time series assessment of invasive annual grasses following energy development To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, California South, Google Earth Engine, Landsat, Normalized Difference Vegetation Index, All tags... USGS Science Data Catalog (SDC), desert ecosystems, ecology, energy development, energy resources, grassland ecosystems, grasslands, invasive species, nonindigenous species, time series, vegetation, wind energy, Fewer tags Stream Temperature in the Lahontan Basin of Nevada and California, 2017-2019 This dataset includes hourly stream temperature data for 139 temperature logger sites throughout the Lahontan Basin Region of Northern Nevada and Eastern California. Data loggers were part a study beginning in 2017, with data available through 2019 for most locations. The spatial data layer contains site locations, geographic information, data summaries, mean August stream temperatures, and modeled NorWeST stream temperatures. The Wet-Dry delineation file contains daily flow status estimates derived from stream temperature data for each site. The Site Visit file contains the date and time of the site visit along with associated information on site flow conditions, water depths, logger conditions, and stream logger... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Aquatic Biology, California, Ecology, Hydrology, Intermittent, All tags... Nevada, Perennial, Stream / River, Stream Temperature, USGS Science Data Catalog (SDC), Watershed, environment, inlandWaters, streamflow, surface water (non-marine), water temperature, Fewer tags Annual California Sea Otter Census: 2019 Extra Limit Observations Shapefile The GIS shapefile Extra limit counts of southern sea otters 2019 is a point layer representing the locations of sea otter sightings that fall outside the officially recognized range of the southern sea otter (Enhydra lutris nereis) in mainland California. These data were collected during the spring 2019 range-wide census. The USGS range-wide sea otter census has been undertaken each year since 1982, using consistent methodology involving both ground-based and aerial-based counts. The spring census provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland range) is considered to comprise a band of potential habitat stretching... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Central California Coastal, Southern California Coastal, aerial counts, biogeography, All tags... biota, distribution, environment, mammals, ocean, range, sea otter census, sea otters, sea otters, shore counts, Fewer tags BNU Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags CNRM Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags GFDLM Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags MRI Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags CSIRO Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags IPSL-CM5A-MR Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags Seasonal Future Prescribed Burn Windows for the Southeast United States - June-August 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags Seasonal Future Prescribed Burn Windows for the Southeast United States - December-February 2010-2099 RCP 8.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags HADSE Historical Prescribed Burn Windows for the Southeast United States 1950-1999 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags LEAN-Corrected DEM for Suisun Marsh Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the... Categories: Data, Data Release - Revised; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Remote Sensing, San Francisco Bay Estuary, Suisun marsh, USGS Science Data Catalog (SDC), digital elevation models, All tags... elevation, estuary, lidar, wetlands, Fewer tags Species Observations from Pitfall Trap Arrays, Species Pool Matrices, and Patch Locations in Southern California from 1995-2015 Observations (reduced to detected/not detected) of 45 vertebrate species (seven mammals, seven amphibians, and 31 reptiles) across Southern California pitfall sampling projects conducted between 1995 through 2015. Habitat patch locations of every pitfall sampling project presented in a shapefile. Habitat patches were measured based on the size when pitfall sampling began within each. Sampling projects within the same geographic area may have different sized patches based on date of project sampling and if patch erosion occurred. A matrix of whether each species was expected within each habitat patch's species pool based on range maps and published records is also included. These data support the following publication:... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Los Angeles County, Orange County, Riverside County, San Bernardino County, San Diego County, All tags... Southern California, USGS Science Data Catalog (SDC), Ventura County, Wildlife Biology, amphibian, amphibians, biodiversity, biogeography, biota, climate change, climate change, density compensation, ecology, mammal, mammals, multi-species occupancy model, reptile, reptiles, urbanization, Fewer tags « 1 2 3 4 5 ... 35 »