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This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
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Predicted common raven (Corvus corax) impacts within greater sage-grouse (Centrocercus urophasianus) concentration areas across the Great Basin, USA, 2007–2016. Predicted impacts were based on a raven density of great than or equal to 0.40 (ravens per square kilometer) which corresponded to below-average survival rates of sage-grouse nests. These data support the following publication: Coates, P.S., O'Neil, S.T., Brussee, B.E., Ricca, M.A., Jackson, P.J., Dinkins, J.B., Howe, K.B., Moser, A.M., Foster, L.J. and Delehanty, D.J., 2020. Broad-scale impacts of an invasive native predator on a sensitive native prey species within the shifting avian community of the North American Great Basin. Biological Conservation,...
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This ArcGIS shapefile shows the known locations of beaver dams in the Tualatin Basin. The dam location information was generated by multiple local agencies, groups, and organizations. The local sources had identified the beaver dams between 2011 and 2019. USGS worked with these local sources to combine all data into one inventory.
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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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These bat location estimates have been reported by Bogan and others (In press) and come in the form of a GIS shape file. Three species of nectar-feeding phyllostomid bats migrate north from Mexico into deserts of the United States (U.S.) each spring and summer to feed on blooms of columnar cacti and century plants (Agave spp). However, the habitat needs of these important desert pollinators are poorly understood. We followed the nighttime movements of two species of long-nosed bats (Leptonycteris yerbabuenae and L. nivalis) in an area of late-summer sympatry at the northern edges of their migratory ranges. We radiotracked bats in extreme southwestern New Mexico during 22 nights over two summers and acquired location...
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nv_lvl6_coarsescale: Nevada hierarchical cluster level 6 (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_lvl8_coarsescale: Wyoming hierarchical cluster level 8 (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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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 high oil and gas development, low population size, and no climate component. 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 (vertical and directional) and number...
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The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This dataset represents the final 2018 NABat Sampling grid with...
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This shapefile compares the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2005 to their location in 2014.
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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...
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The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A draw of sample units from a finite sampling frame using the GRTS design produces an ordered list of units such that any ordered subset of that list is also randomized and spatially balanced. This vector dataset is the individual grid-based sampling grid for Continental United States at a 10x10km resolution.
The Area 10 mule deer population is one of the largest deer herds in the state, accounting for roughly 20 percent of the statewide mule deer population. The Area 10 herd is comprised of several sub populations that occupy the majority of the Ruby Mountains, are highly migratory,and exhibit long distance migrations from summer to winter ranges. Several key stopovers occur within the migration corridor for the Area 10 deer migration. The largest stopovers are located along the Harrison Pass Road on both sides of Toyn Creek,the west side of Pearl Peak and Sherman Mountain, Little and Big Bald Mountains near the Bald Mountain Mine complex, and Bourne to Orchard Canyons west of Warm Spring Ranch. The winter range encompasses...
The Area 10 mule deer population is one of the largest deer herds in the state, accounting for roughly 20 percent of the statewide mule deer population. The Area 10 herd is comprised of several sub populations that occupy the majority of the Ruby Mountains, are highly migratory,and exhibit long distance migrations from summer to winter ranges. Several key stopovers occur within the migration corridor for the Area 10 deer migration. The largest stopovers are located along the Harrison Pass Road on both sides of Toyn Creek,the west side of Pearl Peak and Sherman Mountain, Little and Big Bald Mountains near the Bald Mountain Mine complex, and Bourne to Orchard Canyons west of Warm Spring Ranch. The winter range encompasses...
Mule deer in the Sheep Creek sub herd are part of the larger Area 6 herd that occupies portions of Elko, Lander, and Eureka counties. The primary winter range of this population is located along the eastern flank of the Sheep Creek Range and the west side of Boulder Valley. Most deer migrate approximately 30 miles from winter ranges in upper Boulder Creek and Antelope Creek drainages to summer ranges on the west side of the Tuscarora Mountains. However, some deer in this population migrate much farther – approximately 80 miles – and connect with mule deer that summer east of the Humboldt River. This deer herd faces several challenges, including migration routes that pass through increased mineral extraction activities...
The shapefiles depict the valley bottom areas over which HEC-RAS model results were summarized. Valley bottoms were manually delineated in ArcMap by visually interpreting LIDAR terrain models and aerial imagery. Substantial changes in elevation, curvature, and slope were interpreted within the context of their position within the study reach to be channel banks and valley walls. Such areas were excluded from the valley bottom delineation.
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:...
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...


map background search result map search result map Submerged aquatic vegetation (SAV) CRSSA image classification of the Barnegat Bay - Little Egg Harbor estuary, New Jersey: 2009 Cave and Karst Biota Modeling in the Appalachian LCC - Observed troglobiotic fish in 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic crayfish in sampled 20km grid cells Radio telemetry data on nighttime movements of two species of migratory nectar-feeding bats (Leptonycteris) in Hidalgo County, New Mexico, late-summer 2004 and 2005 Beaver dam locations in the Tualatin Basin, Oregon, between 2011 and 2019 North America Bat Monitoring Program (NABat) Grid-Based Sampling Frame: Continental United States at a 10x10km resolution Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Alaska North American Grid-Based Sampling Frame: Puerto Rico at a 5x5km resolution Seneca Shapefiles depicting the valley bottom areas. Comparison of mangrove extent from 2005 and 2014 of Ten Thousand Islands NWR, Florida, USA Greater sage-grouse population change (percent change) in a high oil and gas development, low population estimate scenario, and with no effects of climate change (2006-2062) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 8 (Wyoming), Interim Annual California Sea Otter Census: 2019 Extra Limit Observations Shapefile Raven impacts within greater sage-grouse concentration areas within the Great Basin region of the United States 2007 - 2016 Migration Stopovers of Mule Deer in the Ruby Mountains in Nevada Winter Ranges of Mule Deer in the Ruby Mountains in Nevada Winter Ranges of Mule Deer in the Sheep Creek Range in Nevada Lake Erie: 2018 Aquatic Vegetation Species observations from pitfall trap arrays, species pool matrices, and patch locations in southern California from 1995-2015 Seneca Shapefiles depicting the valley bottom areas. Annual California Sea Otter Census: 2019 Extra Limit Observations Shapefile Comparison of mangrove extent from 2005 and 2014 of Ten Thousand Islands NWR, Florida, USA Submerged aquatic vegetation (SAV) CRSSA image classification of the Barnegat Bay - Little Egg Harbor estuary, New Jersey: 2009 Winter Ranges of Mule Deer in the Sheep Creek Range in Nevada Radio telemetry data on nighttime movements of two species of migratory nectar-feeding bats (Leptonycteris) in Hidalgo County, New Mexico, late-summer 2004 and 2005 Migration Stopovers of Mule Deer in the Ruby Mountains in Nevada Winter Ranges of Mule Deer in the Ruby Mountains in Nevada Species observations from pitfall trap arrays, species pool matrices, and patch locations in southern California from 1995-2015 North American Grid-Based Sampling Frame: Puerto Rico at a 5x5km resolution Lake Erie: 2018 Aquatic Vegetation Greater sage-grouse population change (percent change) in a high oil and gas development, low population estimate scenario, and with no effects of climate change (2006-2062) Cave and Karst Biota Modeling in the Appalachian LCC - Observed troglobiotic fish in 20km grid cells Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 8 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Nevada), Interim Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic crayfish in sampled 20km grid cells Raven impacts within greater sage-grouse concentration areas within the Great Basin region of the United States 2007 - 2016 North America Bat Monitoring Program (NABat) Grid-Based Sampling Frame: Continental United States at a 10x10km resolution Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Alaska