This shapefile represents habitat suitability categories (High, Moderate, Low, and Non-Habitat) derived from a composite, continuous surface of sage-grouse habitat suitability index (HIS, created using ArcGIS 10.2.2) values for Nevada and northeastern California during spring, which is a surrogate for habitat conditions during the sage-grouse breeding and nesting period.
The GIS layer "Census_sum_15" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra lutris nereis), based on data collected during the spring 2015 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. This Shape file includes a series of summary statistics derived from the raw census data, including sea otter density...
Grizzly bear recovery zones were established by the U.S. Fish and Wildlife Service in 1993 to delineate regions in the lower 48 states that have sufficient habitat to target recovery for five, and possibly six remnant grizzly bear populations. Recovery zones represent the five known populations in the lower 48 United States including the Northern Continental Divide, Greater Yellowstone, Cabinet-Yaak, Selkirk, and North Cascade populations. The bitterroot ecosystem in Idaho represents the possible sixth population. The grizzly bear once ranged across a large portion of western North America from northern Mexico to Alaska and across much of Canada. Current distribution in the lower 48 United States is reduced to less...
Bear Management Units (BMUs) are management areas within the Grizzly Bear Recovery Zone (GBRZ) that were delineated by the Interagency Grizzly Bear Study Team (IGBST) to assist in managing habitat and monitoring population trends of the Yellowstone grizzly bear population. BMU areas approximate the size of the lifetime range of an average adult female and reflect areas of biological relevance to grizzly bears in the Greater Yellowstone Ecosystem (GYE). The GBRZ was divided into 18 distinct BMUs to facilitate monitoring and ensure that adequate habitat and numbers of grizzly bears are well distributed throughout the GYE recovery zone.
Shorelines of the Eastern Beaufort Sea, Alaska coastal region (U.S. Canadian Border to the Hulahula River) used in shoreline change analysis
This dataset includes shorelines from 63 years ranging from 1947 to 2010 for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Shorelines were compiled from topographic survey sheets (T-sheets; National Oceanic and Atmospheric Administration (NOAA)), aerial orthophotographs (U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), satellite imagery (U.S. Fish and Wildlife Service (USFWS), State of Alaska), and lidar elevation data (USGS). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological...
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River
This dataset consists of long-term (~63 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River
This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
Offshore baseline for the sheltered Eastern Chukchi Sea, Alaska coastal region (Point Barrow to Icy Cape) generated to calculate shoreline change rates
This dataset includes a reference baseline used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics for the sheltered north coast of Alaska coastal between Point Barrow and Icy Cape for the time period 1947 to 2012. This baseline layer serves as the starting point for all transects cast by the DSAS application and can be used to establish measurement points used to calculate shoreline-change rates.
This dataset was clipped to the WLCI study area by USGS staff. This metadata references the polygonal ARC/INFO GIS cover showing the current and historic distribution of potential habitat, or range, of the Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (Centrocercus minimus) in Western North America. These data were initially researched and compiled by Dr. Michael A. Schroeder, research biologist for the Washington State Department of Fish and Wildlife. The initial draft of current and historic range data was mapped and submitted to state, federal, or provincial natural resource agencies and other experts for review, comment, and editing. The final product represents the best available...
Predicted greater prairie chicken habitat - Iowa Wildlife Action Plan (2007). Landscape suitability was mapped by applying a model developed for Northwest Minnesota to the 2001 National Land Cover Data for Iowa. Logistic regression was used to compare landscape characteristics between booming grounds and random sites. The model is based on the assumption that areas classified as hayland are equivalent to grassland habitat. In addition to providing information about the Greater Prairie-Chicken, this map is included as a representation of the location of mid-grass habitat in amounts significant enough to support grassland species more generally. Model developed by USFWS.
This layer displays Conservation Opportunity Areas (COA’s), which are places in Pennsylvania that represent clusters of Species, as well as most critically imperiled plants and their associated habitats where collaborative conservation action should be targeted. The COAs are intended to complement, not replace, other conservation planning efforts, by providing specific recommendations focused on Species and their habitats.
This layer depicts U.S. Forest Service ecological subsections, which were used to define potential geographic focus areas for the Montana Fish, Wildlife and Parks Wildlife Action Plan. Each subsection was ranked using both quantitative and qualitative criteria and using the ranks revised based on peer review and expert opinion. For methodology relating to this ranking please visit the Montana Comprehensive Fish and Wildlife Management Strategy website at http://fwp.mt.gov/specieshabitat/strategy/default.html.
Conservation Opportunity Areas (COAs) are large, loosely defined, geographic areas within Mississippi that have been identified by MDWFP as priority areas for implementing conservation actions recommended in Mississippi’s State Wildlife Action Plan (SWAP). They may contain priority habitats or Species of Greatest Conservation Need (SGCN), represent areas that have unique habitats (e.g. prairies) within them but they are composed of many different habitats, or may have been chosen because they have a wide range of SGCN, or include areas that are particularly important to one SGCN.
This part of DS 781 presents data for the habitat map of the seafloor of the Offshore of Aptos map area, California. The vector data file is included in "Habitat_OffshoreAptos.zip," which is accessible from https://doi.org/10.5066/F7K35RQB. These data accompany the pamphlet and map sheets of Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H.G., Erdey, M.D, Dieter, B.E., Golden, N.E., Hartwell, S.R., Ritchie, A.C., Kvitek, r.G., Maier, K.L., Endris, C.A., Davenport, C.W., Watt, J.T., Sliter, R.W., Finlayson, D.P., and Krigsman, L.M., (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Aptos, California: U.S. Geological Survey Open-File Report 2016–1025, 43 p., 10 sheets,...
The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Pelican Island and Pass La Mer to Chaland Pass Resoration (BA-38) project for 2011. This data is used as a basemap habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land...
This shapefile represents proposed management categories (Core, Priority, General, and Non-Habitat) derived from the intersection of habitat suitability categories and lek space use. Habitat suitability categories were derived from a composite, continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California formed from the multiplicative product of the spring (mid-March to June), summer (July to mid-October), and winter (November to March) HSI surfaces.
This individual species distribution is derived from a GIS modeling process using species habitat association rules in combination with species geographic range. There are a total of 445 individual terrestrial vertebrate species distributions generated for Wyoming by the Wyoming Gap Analysis project.
Offshore baseline for the exposed Eastern Chukchi Sea, Alaska coastal region (Point Barrow to Icy Cape) generated to calculate shoreline change rates
This dataset includes a reference baseline used by the Digital Shoreline Analysis System (DSAS) to calculate rate-of-change statistics for the exposed north coast of Alaska coastal region between Point Barrow and Icy Cape for the time period 1947 to 2012. This baseline layer serves as the starting point for all transects cast by the DSAS application and can be used to establish measurement points used to calculate shoreline-change rates.
This dataset contains vegetation and land cover information for Antioch Dunes National Wildlife Refuge. It was created by visual interpretation and classification of aerial photography (National Agriculture Imagery Program) acquired in August 2014. Specifically, the NAIP imagery was segmented into polygons using eCognition Developer 9.0 software. Each segment was then classified by visually interpreting the aerial imagery. The interpretation process was facilitated by field data and geotagged field photos that were taken on the property in October 2014. No accuracy assessment was performed due to a limitation in the number of available ground control points.
Watersheds identified as priorities in State Nutrient Reduction Strategies to support the efforts of the Gulf Hypoxia Task Force. Received June 2014.