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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Minnesota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Minnesota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Jersey. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Jersey. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New York. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New York. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Oregon. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Oregon. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment H - Lake Ontario...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Pinon Juniper as a top 3 ecosystem stressor in the Montane Invasive Plant category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3...
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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) 10 meter aerial imagery.
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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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Soils data compiled from USDA, Natural Resources Conservation Service, SSURGO data, then clipped to the refuge boundary. Some of the attributes have been added to the dataset, but not the complete set. For additional attributes, consult the full SSURGO data. More information can be found here: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053631
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Shallow subsurface electrical conductivity was mapped at selected U.S. Fish and Wildlife Service managed lands in northeast Montana and northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winters of 2017 and 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 427 line-kilometers (km) of data were acquired over an area of nearly 26 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Anderson, Beaver Lake, Bigslough, Divide County, ND, Dog Leg, All tags...
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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 shapefile contains landscape factors representing potential human disturbances to river systems summarized in 12-digit USGS hydrological units (HUC12s) for the Matanuska Susitna Basin Salmon Habitat Partnership. This dataset is the result of clipping the shapefile for 'National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s' to the boundary of the Matanuska Susitna Basin Salmon Habitat Partnership. Variables include land uses, barriers to fish movement, landing strips/airports, mines, point-source pollutant sites, and infrastructure like pipelines, railroads, and roads. The source datasets that were compiled and attributed to HUC12s were identified as...
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This shapefile is the official boundary of the Southeast Alaska Fish Habitat Partnership. The shapefile was developed in 2014 to reflect the boundary as defined by the Southeast Alaska Fish Habitat Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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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 boundaries of the LCCs. The shapefile can be downloaded and opened in ArcMAP. For web services, select an option from the grey bar above the inset map. Link to metadata. From metadata: Landscape conservation cooperatives (LCCs) are conservation-science partnerships between the U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and other federal agencies, states, tribes, NGOs, universities and stakeholders within a geographically defined area. They inform resource management decisions to address national-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are accelerated by climate change.
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http://archive.ilmb.gov.bc.ca/cis/initiatives/ias/btm/index.htmlThis GIS dataset is part of a suite of wildlife habitat connectivity data produced by the Washington Wildlife Habitat Connectivity Working Group (WHCWG). The WHCWG is a voluntary public-private partnership between state and federal agencies, universities, tribes, and non-governmental organizations. The WHCWG is co-led by the Washington Department of Fish and Wildlife (WDFW) and the Washington Department of Transportation (WSDOT). The statewide analysis quantifies current connectivity patterns for Washington State and adjacent areas in British Columbia, Idaho, Oregon and a small portion of Montana. Available WHCWG raster data include model base layers,...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape.
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape.
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Shifting Climate Zones as a top 3 ecosystem stressor in the Montane Ecosystem Functionality category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for...


map background search result map search result map District of Columbia: NFHAP 2010 HCI Scores and Disturbances New Jersey: NFHAP 2010 HCI Scores and Disturbances New York: NFHAP 2010 HCI Scores and Disturbances Washington Connected Transboundary Land Cover Dataset Minnesota: NFHAP 2010 HCI Scores and Disturbances Oregon: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s for Matanuska Susitna Basin Salmon Habitat Partnership Official Recognized Boundary of Southeast Alaska Fish Habitat Partnership, 2014 Hydrology polygon features, Ruby Lake NWR Hydrology polygon features, Modoc NWR SSURGO soils, San Joaquin River NWR Pacific Walrus Coastal Haulout Database 1852-2016 The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Economics for Wildlife Management Grasslands - Habitat Fragmentation and Loss Stressor - Desertification Montane - Ecosystem Functionality Stressors - Shifting Climate Zones Montane - Invasive and Problematic (Native and non-native) Plants - Pinon Juniper Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017-2018 Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York SSURGO soils, San Joaquin River NWR Hydrology polygon features, Ruby Lake NWR District of Columbia: NFHAP 2010 HCI Scores and Disturbances Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017-2018 New Jersey: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s for Matanuska Susitna Basin Salmon Habitat Partnership Oregon: NFHAP 2010 HCI Scores and Disturbances New York: NFHAP 2010 HCI Scores and Disturbances Minnesota: NFHAP 2010 HCI Scores and Disturbances Official Recognized Boundary of Southeast Alaska Fish Habitat Partnership, 2014 Montane - Ecosystem Functionality Stressors - Shifting Climate Zones Montane - Invasive and Problematic (Native and non-native) Plants - Pinon Juniper Economics for Wildlife Management Grasslands - Habitat Fragmentation and Loss Stressor - Desertification Washington Connected Transboundary Land Cover Dataset The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Pacific Walrus Coastal Haulout Database 1852-2016