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The Golden-winged Warbler Focal Area represents an area of interest pertaining to the Golden-winged Warbler under the U.S. Department of Agriculture (USDA), Natural Resources Conservation Service (NRCS) Working Lands for Wildlife (WLFW) Wildlife Habitat Incentive Program (WHIP).Working Lands for Wildlife is a partnership between NRCS and the U.S. Fish and Wildlife Service (FWS) to use agency technical expertise and financial assistance from the Wildlife Habitat Incentive Program to combat the decline of seven specific wildlife species whose decline can be reversed and will benefit other species with similar habitat needs. The WLFW project will target species whose decline can be reversed and will benefit other species...
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This shapefile was created by the Ohio Department of Natural Resources Division of Forestry. It identifies priority forest landscapes for Ohio's 2010 Statewide Forest Resource Assessment and Strategy (FRAS 2010). Priority forest landscapes are large forest blocks that have a high concentration of priority forest areas as identified in FRAS 2010. The priority forest landscapes may be used for strategic planning, competitive grants, stakeholder collaboration, and conservation marketing.This shapefile identifies priority forest landscapes developed for Ohio's 2010 Statewide Forest Resource Assessment and Strategy. The priority forest landscapes represent areas with high concentrations of priority forest areas that...
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Pilot Basins are HU-4 basins where there is an alignment of ecological and production systems of interest with areas thought to be producing significant agricultural nutrient loads and possessing significant implementation interests. These provisional basins represent areas of greatest opportunity in terms of need and potential for conservation delivery. Two tiers of pilot basins were identified for version 1.02 of the Conservation Blueprint. Tier 1 pilot basins have the highest nutrient load potential and the highest amount of watershed implementation interest, while Tier 2 pilot basins have either lower load potential or lower watershed implementation interest than Tier 1 pilot basins. Implementation opportunities...
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Designated Topeka Shiner Critical Habitat - Iowa Wildlife Action Plan (2007). This habitat is essential for the conservation of the Topeka Shiner and may require special management and protection. All indicated areas designated as critical habitat are occupied by the species or are short segments that provide critical links between habitats.
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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 Nevada and northeastern California formed from the multiplicative product of the spring, summer, and winter HSI surfaces.
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This dataset depicts vegetation and landcover at a broad scale for Tule Lake National Wildlife Refuge. It was created through interpretation of aerial imagery (NAIP orthophotography) acquired in August 2014 by the USDA. Ecognition software was then used to create segments of the imagery and those segments were manually classified by a GIS Analyst with the help of refuge biologists and staff with expert knowledge of the local conditions. The GIS Analyst also made a reconnaissance trip to the area in the fall of 2014 to assist with image interpretation. No systematically collected field data were available to create a classification at a finer level, such as the Alliance or Associate level and so this product does...
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This dataset includes shorelines from 63 years ranging from 1947 to 2010 for the north coast of Alaska between the Hulahula River and the Colville 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), Conoco-Philips (CP), British Petroleum Alaska (BPXA)), satellite imagery (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...
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This dataset consists of long-term (~65 years) shoreline change rates for the north coast of Alaska between the Colville River and Point Barrow. 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 2012. 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.
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This dataset consists of short-term (~33 years) shoreline change rates for the north coast of Alaska between the Colville River and Point Barrow. 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 1979 and 2012. 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.
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Reaches on the USEPA 303d list of impaired waterways where causes and sources are from agriculture nutrients within the Mississippi River Basin. Source: http://www.epa.gov/waters/data/rad_303d_20140804_fgdb.zip. Downloaded May 2015.
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The purpose of this map is to provide a georeferenced characterization of vegetation in the early stages of Euro-American settlement. One of the research uses for the surveys nationally is for presettlement vegetation. This data can be used to analyze presettlement vegetation patterns for the purpose of determining natural community potential, productivity indexes, and patterns of natural disturbance. The area of the original plat maps were townships; use of the data at a larger scale would not be appropriate.In Illinois, the surveys began in 1804 and were largely completed by 1843. The surveyors moved across the state laying out a rectangular grid system, known as the Public Land Survey System (PLS or PLSS). They...
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The Virginia Natural Landscape Assessment (VaNLA) was a landscape-scale GIS analysis that identified, prioritized, and linked important lands to form natural land networks throughout Virginia. Using land cover data derived from satellite imagery, the VaNLA identified large, unfragmented cores, patches of natural land with at least 100 acres of interior cover. Cores provide habitat for a wide range of species, from interior-dependent forest species to habitat generalists, as well as for species that utilize marsh and maritime habitats. The most ecologically significant cores were linked by landscape corridors. Lower-ranked cores and fragments of natural land that intersected landscape corridors were added as corridor...
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Bear management subunits are subdivisions of larger bear management units (BMUs) that make up the Grizzly Bear Recovery Zone (GBRZ) located at the core of the Greater Yellowstone Ecosystem (GYE). Subunits were delineated to assist in the management and monitoring of grizzly bear habitat and population trends. The 18 BMUs comprising the Yellowstone GBRZ were subdivided into a total of 40 subunits to provide greater landscape resolution and to account for seasonal heterogeneity of grizzly bear use patterns within a BMU. Subunits were typically delineated at the scale of the average annual home range of an adult female grizzly bear in the GYE and typically consist of a major drainage enclosed by segments of intervening...
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This dataset consists of long-term (~65 years) shoreline change rates for the north coast of Alaska between Point Barrow and Icy Cape. 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 2012. 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.
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This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between Point Barrow and Icy Cape. 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 an end point rate-of-change method based on available shoreline data between 1979 and 2011. 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.
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This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Hulahula River and the Colville 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 1979 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.
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Conservation priorities have been identified for each river basin at the cataloging unit or stream reach scale and were categorized using two tiers to indicate relative importance when considering the limited resources available for conservation initiatives. The recommendations were developed by Commission biologists through review of their field data as well as data from several agencies and research organizations. The review considered a combination of factors such as the presence of federal- or state-listed species; distribution of priority species; high species diversity; unique habitats, or high-quality habitats in the subbasin; and the importance of the watershed to downstream populations. Priority areas identified...
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Areas identified in the Minnesota Pheasant Action Plan to target habitat enhancement and protection in complexes at least 9 square miles in size where a goal of 40 percent permanent protection can be met within the timeframe of the plan. The complexes identify the best places for pheasant production and focused protection efforts on those areas to create permanent habitat complexes. Ranking of the complexes was based on current conditions. For instance, if a complex is at 38% permanent protection, it scores very high since with only a little effort 40% protection can be achieved, conversely. A place that was 20% scored low. The complexes identify the best places for pheasant production and focused protection efforts...


map background search result map search result map Reaches Impaired by Agricultural Nutrient Sources (2010) Golden-winged Warbler Focal Area (WLFW) Ohio - Priority Forest Landscapes UMRGLR JV - Woodland Breeding Bird Habitat Priorities Illinois - Presettlement Vegetation Iowa - Topeka Shiner Critical Habitat Vegetation and Landcover, Tule Lake NWR Composite Habitat Categories Shapefile American Bird Conservancy - ESA Critical Bird Habitat (MRB) Minnesota Pheasant Action Plan - Habitat Complexes North Carolina SWAP Priority Watersheds (MRB HUC-12) Virginia Natural Land Network MRB-GHI Tier 1 Pilot Basins (March 2016) Bear Management Subunits for the Yellowstone Grizzly Bear Shorelines of the Central Beaufort Sea, Alaska coastal region (Hulahula River to the Colville River) used in shoreline change analysis Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Sheltered East Chukchi Sea coast of Alaska between Point Barrow and Icy Cape Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Exposed West Beaufort Sea coast of Alaska between the Colville River and Point Barrow Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered Central Beaufort Sea coast of Alaska between the Hulahula River and the Colville River Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed West Beaufort Sea coast of Alaska between the Colville River and Point Barrow Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term End Point Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between Point Barrow and Icy Cape Vegetation and Landcover, Tule Lake NWR Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Sheltered East Chukchi Sea coast of Alaska between Point Barrow and Icy Cape Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term End Point Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between Point Barrow and Icy Cape Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered Central Beaufort Sea coast of Alaska between the Hulahula River and the Colville River Shorelines of the Central Beaufort Sea, Alaska coastal region (Hulahula River to the Colville River) used in shoreline change analysis Bear Management Subunits for the Yellowstone Grizzly Bear Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Exposed West Beaufort Sea coast of Alaska between the Colville River and Point Barrow Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed West Beaufort Sea coast of Alaska between the Colville River and Point Barrow Iowa - Topeka Shiner Critical Habitat North Carolina SWAP Priority Watersheds (MRB HUC-12) Minnesota Pheasant Action Plan - Habitat Complexes Ohio - Priority Forest Landscapes Illinois - Presettlement Vegetation Composite Habitat Categories Shapefile Virginia Natural Land Network Golden-winged Warbler Focal Area (WLFW) MRB-GHI Tier 1 Pilot Basins (March 2016) UMRGLR JV - Woodland Breeding Bird Habitat Priorities American Bird Conservancy - ESA Critical Bird Habitat (MRB) Reaches Impaired by Agricultural Nutrient Sources (2010)