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This dataset is intended to assess trends and percent change per year (PCPY) in yearly averages of pH within 300 meters of saltwater marsh. Assessments (condition) was classified depending on the following follow thresholds for PCPY: <= -1.0% - “Decreasing” > -1.0 & < 0.0% - “Stable (-)” = 0.0% - “Stable (No Change)” > 0.0 & < 1.0% - “Stable (+)” >= 1.0% - “Increasing”
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These data show Conservation Opportunities for the Southwestern Region. Opportunities include Pinelands, Lakes, Rivers, and Streams, Coastal, and Freshwater.
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The Florida Marine Blueprint V. 2 depicts marine and estuarine priorities based on combined natural resource priorities, providing guidance for efficient and effective conservation planning and implementation. The FLMB Version 2 used six natural resource datasets to prioritize area of natural habitats in Florida’s EEZ extent. The datasets comprised 19 separate spatial feature layers acquired through a variety of monitoring and management organizations. Spatial layers represent vital conservation and/or management data, such as endangered and threatened species (i.e., critical habitat), overall species richness in estuarine habitats, commercially and recreationally important species (i.e., essential fish habitat),...
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The Florida Marine Blueprint V. 2 depicts marine and estuarine priorities based on combined natural resource priorities, providing guidance for efficient and effective conservation planning and implementation. The FLMB Version 2 used six natural resource datasets to prioritize area of natural habitats in Florida’s EEZ extent. The datasets comprised 19 separate spatial feature layers acquired through a variety of monitoring and management organizations. Spatial layers represent vital conservation and/or management data, such as endangered and threatened species (i.e., critical habitat), overall species richness in estuarine habitats, commercially and recreationally important species (i.e., essential fish habitat),...
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For more information about how these data were developed, please see the final report. Expert opinion was used to define a resistance surface for each of the target animals, with higher resistance representing map units expected to be more difficult and more dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations for the species, are also defined. Note actual species population data to define the nodes is not used, as that data was often unavailable, and the focus is on the potential spread of the species across the SALCC region and not limited to models to known populations. Therefore, node locations were determined by...
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This map contains multiple layers related to the corridors in Blueprint 2.2. Inland Hubs These are the hubs used in the Linkage Mapper-based connectivity analysis for the inland portion of the South Atlantic area in Blueprint 2.2. Input Data -- Ecosystem scores from Zonation for all inland ecosystems (beach and dune, estuarine marsh, forested wetland, freshwater marsh, maritime forest, pine and prairie, upland hardwood) -- The Nature Conservancy’s (TNC) Resilient Land Project -- TNC's Secured Lands Database (External Eastern Division 2014) Mapping Steps 1) Individual ecosystem integrity scores (Zonation outputs) for the inland ecosystems (beach and dune, estuarine marsh, forested wetland, freshwater marsh, maritime...
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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 Salt Cedar (Tamarix spp) as a top 3 ecosystem stressor in the Riparian 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...
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This dataset was created by overlaying connectivity model outputs for grizzly bear, black bear, lynx, wolverine, forest specialist species, and forest biome dwellers where they intersect the region’s major roads. It was used in conjunction with future traffic volume projections to identify priority sites for mitigating road impacts on wildlife. This project investigated the potential impacts of future housing development on traffic to determine where increased traffic from housing development will impact habitat connectivity for large carnivores. The focus of this study was Flathead and Lincoln counties in northwestern Montana. The main goal was to maintain wildlife habitat connectivity across transportation corridors...
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Soils data clipped to the Clear Lake NWR boundary. These are SSURGO soils from the USDA, Natural Resources Conservation Service.
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The Desert Landscape Conservation Cooperative Land Cover Map shows land cover at a regional scale (1:2,500,000). The files provided are graphic design files that can be used to plot a publication-quality, poster-size map.Scale: 1:2,500,000 Map poster dimensions: 34 x 44 inches Data sources:Land cover from North American Environmental Atlas by the Commission for Environmental Cooperation, 2010. Physiographic regions from Natural Earth 1:10 million scale Physical Labels (3.0.0) derived from Patterson’s Physical Map of the World, 2008. Hydrography, populated places, and political boundaries from National Atlas of the United States, 2004. File descriptions: DLCC_LandCover.ai is an Adobe Illustrator file. DLCC_LandCover.pdf...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Conservation NGOs, DATA ANALYSIS AND VISUALIZATION, Data, Data.gov Desert Landscape Conservation Cooperative, All tags...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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Changes in tidal marsh area and habitat type in response to sea-level rise were modeled using the Sea Level Affecting Marshes Model (SLAMM 6) that accounts for the dominant processes involved in wetland conversion and shoreline modifications during long-term sea level rise (Park et al. 1989; Successive versions of the model have been used to estimate the impacts of sea level rise on the coasts of the U.S. The model was produced by Warren Pinnacle Consulting, Inc. for the U.S. Fish and Wildlife Service. The SLAMM version 6 technical document can be accessed at http://warrenpinacle.com/prof/SLAMM. SLAMM outputs were converted from raster to vector features. Land cover (wetland) types were generalized to MesoHabitat...
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The Comprehensive Habitat Type Dataset was developed by merging NOAA Benthic Habitat Atlas (BHA), Ecological Mapping Systems of Texas (aka Texas Ecological Systems Database, TESD), and National Wetlands Inventory (NWI) data within the study area for the ICF 2012 project (CGP LCC 2012-002 Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast). BHA data was used to depict mangroves, oysters, and patchy, continuous, and discontinuous seagrass beds where BHA existed within the study area. NWI data was used for all wetland/intertidal environments where NWI data existed within the study area. TESD data was used for all upland environments, and weltand/intertidal...
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This dataset includes 800m resolution long-term average estimates of the contributions to the quick-flow runoff component of the water budget over the time period from 2000-2013 and annual estimates for the individual years. These estimates were developed with a new empirical regression for surface runoff data generated from a USGS-developed hydrograph separation program (PART) run on streamflow data from 1434 gaged watersheds as a function of surficial geology type (USGS), precipitation (PRISM), and soil hydraulic conductivity (STATSGO). Irrigated water quantities reported in the 2000, 2005, and 2010 USGS Water Use datasets are also incorporated as effective additional precipitation. The contributing input datasets...
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This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines...
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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 E - Lake Ontario...
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 B - Lake Ontario...


map background search result map search result map NorWeST_SpoKootRiverBasin Black Bear Connectivity Land Cover Map Northwest Montana Multispecies Connectivity Value Across Roads Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Annual average quick-flow runoff across the CONUS, 2000-2013 Soils (SSURGO), Clear Lake NWR Base layers for NY WSC gages mapper Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Amount of inflow stored in upstream dams-rivers Corridors 2.2 Rate of shoreline change statistics for New York State coastal wetlands Riparian - Invasive and Problematic (Native and non-native) Plants - Salt Cedar (Tamarix ramosissima) Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Saltwater Marsh – pH Trends (FLCP Indicator) Southwest Region Conservation Opportunities Marine Blueprint test2 Marine Blueprint Test2 Soils (SSURGO), Clear Lake NWR Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Southwest Region Conservation Opportunities Northwest Montana Multispecies Connectivity Value Across Roads Rate of shoreline change statistics for New York State coastal wetlands NorWeST_SpoKootRiverBasin Saltwater Marsh – pH Trends (FLCP Indicator) Marine Blueprint test2 Marine Blueprint Test2 Base layers for NY WSC gages mapper Riparian - Invasive and Problematic (Native and non-native) Plants - Salt Cedar (Tamarix ramosissima) Black Bear Connectivity Corridors 2.2 Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Amount of inflow stored in upstream dams-rivers Land Cover Map Annual average quick-flow runoff across the CONUS, 2000-2013