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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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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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Northeast Region Marsh Migration is one of a suite of products from the Nature’s Network project. Based on sea level rise (SLR) analysis by NOAA, this dataset depicts potential marsh migration zones at various sea level rise scenarios from 0-6’. Identification of suitable uplands adjacent to tidal wetlands is based on topography, habitat type, land use, and development, and can be used for facilitating marsh migration through land protection and/or management. The NOAA Coastal Change Analysis Program (CCAP) mapped the initial (current) distribution of potential marshes and and other coastal land cover types. The Detailed Method for Mapping Sea Level Rise Marsh Migration provides the full methodology for the data...
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A highly permeable landscape promotes resilience by facilitating range shifts and the reorganization of communities. Roads, development, dams, and other structures create resistance that interrupts or redirects movement and, therefore, lowers the permeability. Maintaining a connected landscape is the most widely cited strategy in the scientific literature for building resilience and has been suggested as an explanation for why there were few extinctions during the last period of comparable rapid climate change. This metric is an important component of resilience because it indicates whether a process is likely to be disrupted or how much access a species has to the micro-climates within its given neighborhood. ...
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A climate-resilient conservation portfolio includes sites representative of all geophysical settings selected for their landscape diversity and local connectedness. We developed methods to identify such a portfolio. First, we mapped geophysical settings across the entire study area. Second, within each geophysical setting we located sites with diverse topography that were highly connected by natural cover. Third, we compared the identified sites with the current network of conservation lands and with The Nature Conservancy’s (TNC’s) portfolio of important biodiversity sites identified based on rare species and natural community locations.Using this information we noted geophysical settings that were underrepresented...
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The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape 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 dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...
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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 represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
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These data show the potential for Coastal Uplands in Florida to migrate inland with Sea Level Rise (SLR) up to 1-meter. Protected areas within a 300-meter buffer were assessed to evaluate potential areas available for inland migration. These data represent an initial estimation of potential availability for habitat migration; additional, more refined investigations that include additional variables would be required to determine areas of high and low potential and onsite planning. These analyses were created as part of the Landscape Conservation Project for the state of Florida. Coastal Inland migration is an ecological indicator for the coastal uplands conservation asset of the Florida Landscape Conservation Project...
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The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape 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 dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...
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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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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape 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 dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...
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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 dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations, 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 using an innovative approach to search for local minima in the resistance surfaces, as such areas likely represent...
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The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape 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 dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...
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This dataset is part of the Florida Landscape Conservation project. The project seeks to better understand the trends of indicators within prioritized conservation assets (or habitats). The trends and analysis carried by the project will be used to aid in informing management and conservation actions at, both, the broader and detailed spatial scales. This dataset and map show the potential for mangroves to migrate inland with rising sea levels. Using the CLC, land classes within 300 meters of saltwater marsh and mangrove swamp are classified as “low”,“moderate” or “high” based on migration potential for these two coastal Conservation Assets. Further information on the FLCP, conservation asset extent, and metadata:...
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This data shows the data provided from NOAA. The data shows the Mean Sea Level Trends at the designated monitoring stations along the the Gulf Coast.


map background search result map search result map Black Bear Connectivity Eastern Cougar Connectivity Eastern Diamondback Connectivity Pine Snake Connectivity Functional Connectivity Index: Pine Snake and Eastern Diamondback Functional Connectivity Index - Current: Black Bear and Timber Rattlesnake Wave Height Data for the Gulf of Mexico Tidal Gauge Mean Sea Level Trends in the Gulf of Mexico Tidal Range Data for the Gulf of Mexico Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR NOAA Sea Level Rise Data (1-6 ft) for Tijuana Slough NWR Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Marsh Migration Zones, Northeast U.S. Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Coastal Uplands - Secure Inland Migration Mangrove Swamp - Inland Migration Potential Saltwater Marsh Inland Migration Mangrove Swamp - Inland Migration Potential Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Saltwater Marsh Inland Migration Coastal Uplands - Secure Inland Migration Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Tidal Gauge Mean Sea Level Trends in the Gulf of Mexico Wave Height Data for the Gulf of Mexico Tidal Range Data for the Gulf of Mexico Marsh Migration Zones, Northeast U.S. Black Bear Connectivity Eastern Cougar Connectivity Pine Snake Connectivity Functional Connectivity Index: Pine Snake and Eastern Diamondback Functional Connectivity Index - Current: Black Bear and Timber Rattlesnake Eastern Diamondback Connectivity Local Connectedness Stratified by Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada Landscape Diversity Stratified by Geophysical Setting and Ecoregion with Regional Override, 2016 Eastern U.S. and Canada NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR NOAA Sea Level Rise Data (1-6 ft) for Tijuana Slough NWR Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR