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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation.This dataset represents the climate response index for Northern Waterthrush. Climate response is one of several different measures of landscape capability that reflect different decisions (or assumptions) regarding how to incorporate current versus future land use and climate changes. The climate response...
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This is a 30 meter grid that maps upland and wetland wildlife habitats/ecological systems for the Northeast, including all 13 states from Maine to Virginia, west to New York, Pennsylvania and West Virginia. Mapped habitat types are drawn from the Northeastern Terrestrial Habitat Classification System (NETHCS). The NETHCS is based on NatureServe’s Ecological Systems Classification, augmented with additional information from individual state wildlife classifications and other information specific to wildlife managers. A terrestrial ecological system is defined as a mosaic of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients,...
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Geographic relationships among energy infrastructure development, regional economic linkages, and the environment is crucial for understanding the impacts of Appalachian energy extraction activities and for regional planning efforts focused on the ecosystem services that may be affected. The U.S. Energy Information Administration (EIA) provides impartial and independent data on the nation’s energy infrastructure, its sources, flows, and end uses, as well as forecasts and outlooks. Location information for specific extraction activities, as well as power plants and other supply chain components, can help reveal the regional nature of specific impacts and the often large distances between those effects and end-use...
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This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
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Known observations and distribution of Pacific Lamprey for Oregon, Washington, and Idaho from the Columbia River Fish and Wildlife Conservation Office managed database on behalf of the PLCI. Observation data includes points for Lampetra species when information provided. Current as of December 2020. Older datasets can be found in the archived data folder. Files available for download: Service Definition file (if downloaded files need to be extracted to then open in desktop programs) Zipped ESRI File Geodatabase, Zipped Shapefiles Layer files for ArcMap and ArcGIS Pro Google Earth kmz files Metadata Online interactive map with these datasets are available: AGOL: DataBasin: https://databasin.org/datasets/a243fb1346ca4258b6388c5f7a90aee4
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The data are .csv files of tagged sea otter re-sighting locations (henceforth, resights) collected in the field using a combination of VHF radio telemetry and direct observation using high powered (80x) telescopes. Sea otters were tracked by shore based observers from the date of tagging until the time of radio battery failure or the animal’s death, whichever comes first. The frequency of re-sighting was opportunistic, depending on logistical factors such as coastal access, but generally ranged from daily to weekly. Location coordinates are reported as X and Y coordinates in the projection/datum California Teale-Albers NAD 1927. Each file contains resight data for one individual sea otter collected over a period...
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NOTE: The data are available online four times based on four different attributes (the current, plus 2 degrees C, plus 4 degrees C, and plus 6 degrees C probability of occurrence), the dataset is the same and the download includes the layer files for all the attributes, you do NOT need to download the data more than once.This dataset is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Nature’s Network is a collaborative effort to identify shared priorities for conservation in the Northeast, considering the value of fish and wildlife species and the natural areas they inhabit. Brook Trout probability of occurrence is intended to provide predictions of occupancy (probability of presence)...
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This dataset was developed as part of the Designing Sustainble Landscapes project led by Professor Kevin McGarigal of UMass Amherst and sponsored by the North Atlantic Landscape Conservation Cooperative (https://www.fws.gov/science/catalog); for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.htmlThis dataset was last updated 02/2017. The revised version incorporates the addition of a simplified version of The Nature Conservancy's Northeast lakes and ponds classification, visit https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/freshwater/Pages/Northeast-Lakes.aspx for more details.This dataset represents terrestrial...
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Salt marshes classification of the South Atlantic Landscape Conservation Cooperative geography covers the northern Outer Banks (and extreme southeastern Virginia, Back Bay area) south through NC, SC, and Georgia to approximately Sapelo Island. The marsh classification is derived from Landsat 8 OLI imagery acquired in May 14-19, 2014. This georeferenced imagery was atmospherically corrected, mosaicked, and water masked prior to deriving a set of three Normalize Difference Indices (NDX) bands: Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Normalized Difference Soil Index (NDSI). Prospective salt marshes and associated tidal non-forested wetlands were classified using object-oriented...
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When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas of habitat believed to be essential the species’ conservation. Those areas may be proposed for designation as “critical habitat.” Critical habitat is a term defined and used in the Act. It is a specific geographic area(s) that contains features essential for the conservation of a threatened or endangered species and that may require special management and protection. Critical habitat may include an area that is not currently occupied by the species but that will be needed for its recovery. An area is designated as “critical habitat” after the...
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The Great Basin LCC is comprised of partner individuals and organizations. These individuals and groups sit on decision making committees such as the GBLCC Steering Committee and S-TEK Committee, conduct research that is financially supported by GBLCC, particpate in Landscape Conservation Design projects, serve as operations and communications staff for the organization and fill other significant organizational roles. These data contained herein describe the geographic distribution of the individuals and organizations locations of work for the purposes of strategic analysis and planning and public display. All past and present contributors to GBLCC strategic planning, operations, and research are included based...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Herring Gull (Larus...
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This data layer depicts lands and waters administered by the U.S. Fish and Wildlife Service (USFWS) in North America, U.S. Trust Territories and Possessions. It may also include inholdings that are not administered by USFWS. The primary source for this information is the USFWS Realty program.
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The Hydrology Polygon Feature Class defines areas of open water features on RSL. The polygon feature class is composed of National Hydrography Dataset (NHD) Plus Polygons and where the NHD Plus layer was insufficient, water bodies were digitized from 2010 National Agricultural Inventory Program (NAIP) 1 meter aerial imagery. Areas of open water are known to fluctuate based on rainfall and other factors, and therefore this dataset may not be accurate for other time periods.
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Ecologically Sensitive Areas are shallow areas where submerged aquatic vegetation such as eel grass, is found. These areas provide shelter and feeding grounds for numerous fish and wildlife, including shellfish, crabs, fish and shorebirds.
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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A raster dataset representing the resilience and resistance classes combined with greater sage-grouse breeding habitat probabilities. It was created to represent greater sage-grouse breeding habitat probabilities within each resilience and resistance class. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy. The R&R and the GRSG Breeding Habitat Probability raster were incorporated; the resulting raster contained 12 values: 26 - Unsuitable Probability and High R&R 27 - Unsuitable Probability and Moderate R&R 28 - Unsuitable Probability and Low R&R 51 - Low Probability and High R&R 52 - Low Probability and Moderate R&R 53...
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We summarize available information on Pacific walrus haulouts from available reports, interviews with coastal residents and aviators, and personal observations of the authors. We provide this in the form of a georeferenced database that may be queried and displayed with standard geographic information system and database management software. The database contains 150 records of Pacific walrus haulouts, with a summary of basic characteristics on maximum haulout size, age-sex composition, season of use, and decade of most recent use. Citations to reports are provided as a bibliographic database.
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The U.S. Geological Survey (USGS) is providing online maps of water-table and potentiometric-surface altitude in the upper glacial, Magothy, Jameco, Lloyd, and North Shore aquifers on Long Island, New York, April–May 2016. Also provided is a depth-to-water map for Long Island, New York, April–May 2016. The USGS makes these maps and geospatial data available as REST Open Map Services (as well as HTTP, JSON, KML, and shapefile), so end-users can consume them on mobile and web clients. A companion report, U.S. Geological Survey Scientific Investigations Map 3398 (Como and others, 2018; https://doi.org/10.3133/sim3398) further describes data collection and map preparation and presents 68x22 in. Portable Document...
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This report describes the design, field methodology, and first year results of a vegetation survey and long-term monitoring program to assess the status and document changes in the dominant native plant communities relative to alien species management efforts within the Kipuka Alala section of the Pohakuloa Training Area (PTA) on the island of Hawai`i. Kipuka Alala is recognized by the Army to be an important habitat that contains a number of unique plant communities as well as populations of several listed or rare plant species. Additionally, Kipuka Alala has been identified as a potential site for the reintroduction of the Palila (Loxioides bailleui), an endangered species of Hawaiian Honeycreeper bird that was...
map background search result map search result map Multistate Aquatic Resources Information System (MARIS) published 20131201 - Florida fish sampling records 1962-2000 Terrestrial Habitat, Northeast Predicted Annual Probability of Observing at least One Herring Gull Project area and plant species data (services and shapefiles) FWS Critical Habitat - Bull Trout Hydrology polygon features, Ruby Lake NWR Interest Boundary, Upper Klamath National Wildlife Refuge Climate Response for Northern Waterthrush, 2080, CT River Watershed Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Geospatial Data Collected from Tagged Sea Otters in Central California, 1998-2012 US Power Plant Locations Pacific Lamprey Known Observations and Distribution GRSG Breeding Habitat Probabilities within R&R Classes Raster Barnegat Bay Ecologically Sensitive Areas Pacific Walrus Coastal Haulout Database 1852-2016 Sea-Level Affecting Marshes Model 1.5m SLR - base year Marsh Classification: Vector Polygons Brook Trout Probability of Occurrence, Plus 2 degrees C, Northeast U.S. Water Table Contours in the Upper Glacial and Magothy Aquifers, April-May 2016 Great Basin LCC Partners Project area and plant species data (services and shapefiles) Hydrology polygon features, Ruby Lake NWR Barnegat Bay Ecologically Sensitive Areas Climate Response for Northern Waterthrush, 2080, CT River Watershed Geospatial Data Collected from Tagged Sea Otters in Central California, 1998-2012 Marsh Classification: Vector Polygons Predicted Annual Probability of Observing at least One Herring Gull Sea-Level Affecting Marshes Model 1.5m SLR - base year FWS Critical Habitat - Bull Trout Terrestrial Habitat, Northeast Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. GRSG Breeding Habitat Probabilities within R&R Classes Raster Brook Trout Probability of Occurrence, Plus 2 degrees C, Northeast U.S. Pacific Lamprey Known Observations and Distribution Great Basin LCC Partners Multistate Aquatic Resources Information System (MARIS) published 20131201 - Florida fish sampling records 1962-2000 US Power Plant Locations Pacific Walrus Coastal Haulout Database 1852-2016