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The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters < 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting Grass Carp. Bait placement...
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This is a GIS data layer representing submerged aquatic vegetation (SAV) of the Barnegat Bay - Little Egg Harbor estuary, 2009, developed by classifying high resolution airborne digital camera imagery. Included are the submerged aquatic vegetation densities mapped into three classes throughout the study area and their respective area and perimeter for each polygon. The three classes of SAV are: 1) Dense (80% - 100% cover), 2) Moderate (40% - 80% cover), and 3) Sparse (10% - 40% cover). For full documentation, please refer to the technical report, 'Assessment of Seagrass Status in the Barnegat Bay - Little Egg Harbor Estuary System: 2003 and 2009 (Rutgers University, Lathrop and Haag, 2010), which is listed in the...
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This part of the Oregon OCS data release presents marine mammal observations from cruise 2014-607-FA in the Floating Wind Farm survey area. The survey was conducted using 12 hour day operations out of Charleston Harbor near Coos Bay, Oregon. The cruise plan consisted of 23 days on site split between sonar mapping and video ground truth surveying. Activities parsed out to nine days of sonar mapping, three days of video surveying, eight days of no operations due to weather, and three days mobilizing and demobilizing (table 1). Typically the Snavely would transit out to the survey area in an hour at a speed of 20 knots. Marine Mammal observations were made during the multibeam sonar mapping portion of the cruise only....
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Weed presence in Idaho, consolidated from datasets provided by BLM Boise District, BLM Twin Falls District, BLM Idaho Falls District, BLM Coeur d'Alene District, and the Idaho Department of Agriculture, from December 2005. Many errors noted. Users must review attributes before using. No corrections to any errors or inconsistencies have been made. See supplementary information. Approved by data steward 10/15/2008 Truncation of attributes may have occurred when File Geodatabase exported to a shapfile. Draft standards such as genus/species exist in the database design, but were not used. Some fields such as National ownership, local ownership, and source are inconsistently or incorrectly used. The draft standards...
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We are providing geospatial data layers of climate, fire, biome and predicted species distributions for download at our project website. Links to presentations, data descriptions and zip files containing data layers can be found here. Over the next few months, we will continue to upload webinars and new training tutorials that demonstrate the application of these datasets to new questions and species. Climate and environmental data can readily be used to generate new models for additional species or other applications to describe habitats and future conditions within New Mexico. Initial fire model output is available as raster images and tabulated values that can be used in analyses of wildfire risk or hazardous...
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This dataset contains data pertaining to ground surface cover in a 30 meter radius around a random selection of points within San Diego County, California. These data were obtained from aerial imagery for the years 1953 and 2016 and were used to assess changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J. and Keeley, J.E., 2019. Extent and drivers of vegetation type conversion in Southern California chaparral. Ecosphere, 10(7), p.e02796.
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Spatial associations between marked sage-grouse and existing PMU boundaries were used as an initial starting point for delineating subregions for habitat selection analyses and naming conventions across Nevada and northeastern California. Ultimately, the data were partitioned into 19 subregions based on movement patterns of individual radio-marked sage-grouse for habitat analyses, with each grouse occupying one subregion only. Some subregions contained too few marked sage-grouse for sufficient training data to develop a habitat model, which resulted in the exclusion of seven subregions with fewer than 20 marked sage-grouse or less than 100 telemetry locations. However, data from these excluded ‘non-RSF’ subregions...
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This shapefile represents habitat suitability categories (High, Moderate, Low, and Non-Habitat) derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California during the winter season (November to March), and is a surrogate for habitat conditions during periods of cold and snow.
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This feature estimates the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures. This layer does not represent the realized distribution of sagebrush and should not be used to summarize statistics about the distribution or precise location of sagebrush across the landscape. This layer is intended to generalize the sagebrush biome distribution using Landsat derived classified vegetation rasters (Rigge at al. 2019), Bureau of Land Management-designated Habitat Management Areas, state-designated Priority Areas for Conservation for sage-grouse, the...
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This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset contains measurements of soil respiration at certain quadrat locations (points) within 12 selected cedar glades. Field measurements were made of soil respiration (carbon dioxide efflux) using a LICOR Infrared Gas Analyzer (IRGA), LI-6400 XT portable photosynthesis device (LICOR Inc., Lincoln, NE, USA), fitted with a soil-chamber attachment. At least 48 hours prior to soil respiration measurement, three soil collars (plastic rings of approximately 2 inches depth) were inserted into the soil surface at each point and the height of each soil collar above the soil...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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wy_lvl5_coarsescale: Wyoming hierarchical cluster level 5 (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...
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wy_lvl4_moderatescale: Wyoming hierarchical cluster level 4 (moderate-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...
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wy_lvl1_finescale: Wyoming hierarchical cluster level 1 (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...
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This dataset represents the prevalence of tamarisk (tamarisk penalty) as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation of...
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This dataset represents the diversity of woody cover types (averaged per 1.5 ha) as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This is a habitat suitability model riparian understory species in the Colorado River bottomland in Utah. The model incorporates the density of shrubs, the number of shrub species present, and the stillness of adjacent water.
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This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for low oil and gas development, low population size, and with effects of climate change under an RCP 8.5 scenario (2050). The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types...


map background search result map search result map Weed Presence in Idaho (through 2005) Submerged aquatic vegetation (SAV) CRSSA image classification of the Barnegat Bay - Little Egg Harbor estuary, New Jersey: 2009 Oregon OCS mammal observations Soil respiration data for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee Sub regions for Greater Sage-grouse in Nevada and NE California (August 2014) Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic fish in all 20km grid cells in karst Cave and Karst Biota Modeling in the Appalachian LCC - Observed springtails in 20km grid cells Conservation Planning for the Colorado River in Utah - Tamarisk Penalty for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Diversity of Woody Structure for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Riparian Understory Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Distance to Permanent Water for Rocky Fringe Snakes Model Maps and Data: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Greater sage-grouse population change (percent change) over 50-years in a low oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 1 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Wyoming), Interim Winter Season Habitat Categories Shapefile The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 Lake Erie: 2018 Aquatic Vegetation Soil respiration data for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee Oregon OCS mammal observations Submerged aquatic vegetation (SAV) CRSSA image classification of the Barnegat Bay - Little Egg Harbor estuary, New Jersey: 2009 Conservation Planning for the Colorado River in Utah - Riparian Understory Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Diversity of Woody Structure for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Tamarisk Penalty for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Distance to Permanent Water for Rocky Fringe Snakes Model Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 Winter Season Habitat Categories Shapefile Lake Erie: 2018 Aquatic Vegetation Greater sage-grouse population change (percent change) over 50-years in a low oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Maps and Data: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Sub regions for Greater Sage-grouse in Nevada and NE California (August 2014) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 1 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Wyoming), Interim Weed Presence in Idaho (through 2005) Cave and Karst Biota Modeling in the Appalachian LCC - Observed springtails in 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic fish in all 20km grid cells in karst The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery