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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 Feral Hogs (Sus scrofa) as a top 3 ecosystem stressor in the Montane Invasive Animal 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...
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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 Discharge of Untreated Wastewater as a top 3 ecosystem stressor in the Riparian Habitat Fragmentation and Lossl 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...
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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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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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This dataset depicts vegetation and land cover for Klamath Marsh NWR. It was created using eCognition software and multiple sources of imagery. Field data were also collected at two different time to assist with image interpretation/classification. Details: This dataset was created by interpreting and classifying multiple image sources. These include: July 2005 2.5 meter Quickbird multispectral imagery, July 2005 ASTER 15 meter multispectral imagery, July 2006 Landsat 30 meter multispectral imagery, and December 2005 ASTER 15 meter multispectral imagery. Images were loaded into eCognition software which created polygons based on areas with similar image features. Statistics were then created for each polygon based...
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This polygon depicts the area open for waterfowl hunting at Salinas River NWR. This dataset is used for mapping purposes only and all hunters should consult the refuge prior to engaging in hunting. Hunting seasons and other restrictions apply.
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Great Lakes Basin Fish Habitat 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 Great Lakes Basin Fish Habitat 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...
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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 Virginia. 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 Virginia. 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 Delaware. 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 Delaware. 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 Kentucky. 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 Kentucky. 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 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...
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ArcGIS layer package of relative classifications (low to high) for six resilience indicators and two anthropogenic stressors and a map of final relative resilience scores for 78 sites in the Commonwealth of the Northern Mariana Islands. The six resilience indicators are: bleaching resistance, coral diversity, coral recruitment, herbivore biomass, macroalgae cover and temperature variability. The two anthropogenic stressors are fishing access and nutrients and sediments. The resilience score map compares sites across all four of the surveyed islands: Saipan, Tinian, Aguijan, and Rota.
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. It represents a relative ranking of HUC12 watersheds according to the quantity and quality of habitat as described in the GCPO LCC’s draft Integrated Science Agenda (v4). Watersheds (HUC12) were ranked by the presence, quantity and quality of the Upland Hardwood (Forest) habitat system (includes upland hardwood, oak-hickory, mixed mesophytic, southern mixed mesic, and maritime forest types) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Condition Index ranks pixels (250-m) according to how well they meet the Desired State for the Upland Hardwood (Woodland) habitat system, which is described qualitatively and quantitatively in the GCPO LCC’s draft Integrated Science Agenda (v4). Higher values indicate sites closer to the Desired State. Value of 1 indicates areas appropriate for restoration but currently under an alternative land use (i.e. potential habitat). Please see PDF file in the Upland Hardwood (Woodland) folder in the Blueprint Gallery at https://gcpolcc.databasin.org/...
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Standing dead trees, or snags, are an important habitat element in any forested system, and provide diurnal or seasonal shelter for many LCC priority species. The ISA landscape endpoint for snag density in upland hardwood woodland and forest systems targets one large (≥16” dbh) snag for every five acres of forest (or approximately ~0.2 large snags/acre), reflected by cavity-roosting habitat needs of the silver-haired bat (Lasionycteris noctivagans) and ample other avian, and mammalian species that require cavities in snags to carry out their life history. We used USFS imputed density of large (>16” dbh) snags data (USDA Forest Service Remote Sensing Applications Center, personal communication) extracted through...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BIOSPHERE, BIOSPHERE, Conservation planning, Data, EARTH SCIENCE, All tags...
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...


map background search result map search result map Kentucky: NFHAP 2010 HCI Scores and Disturbances Delaware: NFHAP 2010 HCI Scores and Disturbances 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 Virginia: NFHAP 2010 HCI Scores and Disturbances 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 (linked to NHDPLUSV1) for Great Lakes Basin Fish Habitat Partnership Coral Reef Resilience to Climate Change in CNMI results Vegetation and Land cover, Klamath Marsh National Wildlife Refuge, 2007 Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Waterfowl Hunt Area - Salinas River NWR Density of large snags (>16") per acre (GCPO geography) Upland Hardwood Forest Watershed Ranks Upland Hardwood Woodland Condition Index Riparian - Habitat Fragmentation and Loss Stressors - Discharge of Untreated Wastewater Montane - Invasive Animal Stressors - Feral Hogs (Sus scrofa) Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York Waterfowl Hunt Area - Salinas River NWR District of Columbia: NFHAP 2010 HCI Scores and Disturbances Vegetation and Land cover, Klamath Marsh National Wildlife Refuge, 2007 Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York Delaware: NFHAP 2010 HCI Scores and Disturbances Coral Reef Resilience to Climate Change in CNMI results New Jersey: NFHAP 2010 HCI Scores and Disturbances Kentucky: NFHAP 2010 HCI Scores and Disturbances Virginia: NFHAP 2010 HCI Scores and Disturbances Oregon: NFHAP 2010 HCI Scores and Disturbances New York: NFHAP 2010 HCI Scores and Disturbances Minnesota: NFHAP 2010 HCI Scores and Disturbances Riparian - Habitat Fragmentation and Loss Stressors - Discharge of Untreated Wastewater Montane - Invasive Animal Stressors - Feral Hogs (Sus scrofa) Upland Hardwood Forest Watershed Ranks Upland Hardwood Woodland Condition Index National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Great Lakes Basin Fish Habitat Partnership Density of large snags (>16") per acre (GCPO geography) NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR