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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 Availability of Water as a top 3 ecosystem service that could benefit from collaborative conservation 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...
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
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Vegetation and land cover data for Upper Klamath NWR. This dataset is based on interpretation of 2014 near-infrared imagery produced by the National Aerial Imagery Program of the U.S. Department of Agriculture with input on the general vegetation composition provided by local refuge staff. Field data at the species level were not available and further work is needed to refine this product to meet the convention of the National Vegetation Classification System. In addition, no validation was performed on this dataset.
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This dataset represents vegetation and landcover for Ruby Lake NWR. It was produced by the U.S. Fish and Wildlife Service, with field data collection provided by the University of Nevada, Reno. The process was iterative and took place over two calendar years and two field seasons. Additional data points were acquired in order to validate the map product and to develop a product that met a minimal accuracy level of 80%. The final classification is based on 2013 National Agricultural Imagery Program (NAIP) orthophotography, produced by the U.S. Department of Agriculture but additional datasets were also utilized, including a digital elevation model. The classification methodology uses a hybrid approach of pixel-based...
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This layer represents land cover classes mapped within the Modoc Wildlife Refuge. Mapping was completed using a combination of field data, object-based image analysis using Feature Analyst, and photo interpretation. Source data included 2005 CIR NAIP digital aerial photography, and Modoc National Wildlife Refuge data layers. Field data was collected by USFWS staff in May and June of 2007.
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This dataset depicts areas open to hunting on Ruby Lake NWR. Hunting is only allowed for the following: ducks (including mergansers), dark geese (including white-fronted and Canada geese), coots, common moorhens and snipe. All other species are prohibited from hunting within the refuge bounds.
A point layer of sites known to be useful analogs for planetary science, such as impact craters, dunes, volcanoes, and other processes observed on bodies across the solar system.
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This dataset describes groundwater quality monitoring wells in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin, and information associated with each unique well. This includes the values used for mapping plume boundaries, concentration trends for contaminants in each individual well, and monitoring optimization results from the Monitoring and Redediation Optimization System (MAROS) analysis.
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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 Mississippi. 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 Mississippi. 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 Hampshire. 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 Hampshire. 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...
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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 Tennessee. 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 Tennessee. 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 Southeast Aquatic Resource Partnership. 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 boundary of the Southeast Aquatic Resource Partnership. 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...
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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 Alabama. 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 Alabama. 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 Iowa. 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 Iowa. 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 in the...
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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 Kansas. 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 Kansas. 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 Wyoming. 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 Wyoming. 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...
Downloadable GIS data showing 303(d) listed impaired waters within the boundary of the SRLCC (created by merging state data and clipping the merged shapefile to the footprint of the SRLCC). Data can also be accessed through web services (select access, then geospatial links). Link to EPA Metadata From Metadata Abstract: "The 303(d) Listed Impaired Waters program system provides impaired water data and impaired water features reflecting river segments, lakes, and estuaries designated under Section 303(d) of the Clean Water Act. Each State will establish Total Maximum Daily Loads (TMDLs) for these waters. Note the CWA Section 303(d) list of impaired waters does not represent waters that are impaired but have an...
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In 2007, American Wildlands (Bozeman, MT) initiated a "Priority Linkage Assessment" (PLA) through which we have identified, cataloged and prioritized the threats to, and opportunities for, maintaining connectivity in the U.S. Northern Rockies (Montana, Idaho and Wyoming). The process involved interviewing wildlife movement and connectivity experts from state and federal agencies, and independent biologists with proven knowledge of wide-ranging wildlife. The experts were asked to use their professional and personal experience in the field (knowledge of related scientific studies and their own field research) to identify important areas of wildlife connectivity ("linkages" - defined as as a specific area through which...
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Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department of Fish & Game, and U.S. Fish & Wildlife Service were aggregated to the nearest mile marker for major roads of the U.S. Northern Rockies. WGA connectivity flowlines were intersected with the road network and attributed to the nearest mile marker, along with their connectivity ranking, which indicates their expected relative importance to maintaining westwide connectivity. Values for potential risk factors, including average annual daily traffic (AADT), functional class, number of lanes, road surface width, landscape condition of surrounding habitat, ruggedness of surrounding landscape, and topographic position relative to surrounding...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: AADT, AADT, Carnivores, Carnivores, Connectivity, All tags...
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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 Lehmman Lovegrass as a top 3 ecosystem stressor in the Grassland 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...


map background search result map search result map Iowa: NFHAP 2010 HCI Scores and Disturbances Kansas: NFHAP 2010 HCI Scores and Disturbances Tennessee: NFHAP 2010 HCI Scores and Disturbances Wyoming: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances New Hampshire: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership EPA Office of Water 303(d) Listed Impaired Waters within the SRLCC (Shapefile) Road-Killed Wildlife Carcass Frequency, Connectivity Value, and Potential Risk Factors by Mile Segment of U.S. Northern Rockies Major Roads (2008-2012) American Wildlands Priority Linkage Assessment Landcover and Vegetation, Ruby Lake NWR Hunting Area, Ruby Lake NWR Land Cover, Modoc National Wildlife Refuge Land Cover and Vegetation data for Upper Klamath National Wildlife Refuge NOAA Sea Level Rise Data (1-6 ft) for Tijuana Slough NWR Availability of Water Grasslands - Invasive and Problematic (Native and non-native) Plant Stressors - Lehmann Lovegrass (Eragrostis lehmanniana) Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 Known Terrestrial Analog Sites for Planetary Science Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 Hunting Area, Ruby Lake NWR Land Cover, Modoc National Wildlife Refuge Landcover and Vegetation, Ruby Lake NWR Land Cover and Vegetation data for Upper Klamath National Wildlife Refuge New Hampshire: NFHAP 2010 HCI Scores and Disturbances Tennessee: NFHAP 2010 HCI Scores and Disturbances Iowa: NFHAP 2010 HCI Scores and Disturbances Kansas: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances Wyoming: NFHAP 2010 HCI Scores and Disturbances American Wildlands Priority Linkage Assessment Road-Killed Wildlife Carcass Frequency, Connectivity Value, and Potential Risk Factors by Mile Segment of U.S. Northern Rockies Major Roads (2008-2012) EPA Office of Water 303(d) Listed Impaired Waters within the SRLCC (Shapefile) Grasslands - Invasive and Problematic (Native and non-native) Plant Stressors - Lehmann Lovegrass (Eragrostis lehmanniana) Availability of Water National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership NOAA Sea Level Rise Data (1-6 ft) for Tijuana Slough NWR Known Terrestrial Analog Sites for Planetary Science