Filters: Tags: sea level rise (X)
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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...
SLAMM-View is a web browser-based application that provides tools for improved understanding of results from research projects that employ the Sea Level Affecting Marshes Model (SLAMM). Version 2.0 of SLAMM-View was designed for a user-friendly, workflow-based approach to assess impacts of sea-level rise (SLR) on coastal areas with both visualization and analysis functionality. SLAMM-View provides simultaneous comparison between both current and future conditions out to the year 2100, and among different SLR scenarios (e.g., 0.4 meter vs. 1 meter), using interactive maps and tabular reporting capabilities. To date, SLAMM-View provides access to SLAMM simulation results for the entire coastlines of 5 states, and...
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Assawoman Island,
Assawoman Island,
Atlantic Ocean,
Barrier Island,
Bayesian Network,
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Atlantic Ocean,
Barrier Island,
Bayesian Network,
CMHRP,
Coastal Erosion,
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Atlantic Ocean,
Barrier Island,
Bayesian Network,
CMGP,
Coastal Erosion,
The “Sea‐Level Affecting Marshes Model” (SLAMM) is a moderate resolution model used to predict the effects of sea level rise on marsh habitats (Craft et al. 2009). SLAMM has been used extensively on both the west coast (e.g., Glick et al., 2007) and east coast (e.g., Geselbracht et al., 2011) of the United States to evaluate potential changes in the distribution and extent of tidal marsh habitats. However, a limitation of the current version of SLAMM, (Version 6.2) is that it lacks the ability to model distribution changes in seagrass habitat resulting from sea level rise. Because of the ecological importance of SAV habitats, the US Environmental Protection Agency, US Geological Survey, and US Department of Agriculture...
We measured foliar δ13C of Conocarpus erectus collected from Big Pine Key in 2018 as a proxy for ground water salinity.
Categories: Data;
Tags: Big Pine Key, Florida,
Ecology,
Everglades National Park,
Forestry,
Hardwood hammock,
Spreadsheet of literature used in systematic review of sea level rise actions
Final Report: Assessing coastal manager science needs and disseminating science results for planning
In-person workshops will be conducted to bring the results from the USGS Program on Coastal Ecosystems Response to Climate Change’s study on projected climate change effects on coastal environments (funded by NPLCC and NW CSC) to managers in their communities. The workshops will include presenting initial results, identifying their climate science needs, and introducing a decision-support tool.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
CA-2,
California,
Changes in sea level and coastal storms,
Climate Change,
This project evaluates the effects of global climate change and sea level rise on estuarine intertidal habitat in the San Francisco Bay and the Pacific Flyway migratory waterbirds that rely on this habitat. Phase 2 of this project is a continuation of work to evaluate the effects of global climate change and sea level rise (SLR) on intertidal shoals in the San Francisco Bay Estuary and the migratory waterbirds that rely on this critically important resource in the Pacific Flyway. The primary objectives are to: 1) use downscaled global climate change models to translate SLR and climate scenarios into habitat quantity predictions through Delft3D and Dflow-FM (unstructured grid) geomorphic modeling; 2) model the response...
Categories: Data,
Project;
Tags: 2010,
2012,
Applications and Tools,
CA,
California Landscape Conservation Cooperative,
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,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: coast,
hurricane sandy,
marsh,
salt,
sea level rise,
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,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: coast,
hurricane sandy,
marsh,
salt,
sea level rise,
Abstract (from http://link.springer.com/article/10.1007%2Fs11069-015-1698-6): Chronic erosion in Hawaiʻi causes beach loss, damages homes and infrastructure, and endangers critical habitat. These problems will likely worsen with increased sea level rise (SLR). We forecast future coastal change by combining historical shoreline trends with projected accelerations in SLR ( IPCC RCP8.5) using the Davidson-Arnott profile model. The resulting erosion hazard zones are overlain on aerial photos and other GIS layers to provide a tool for identifying assets exposed to future coastal erosion. We estimate rates and distances of shoreline change for ten study sites across the Hawaiian Islands. Excluding one beach (Kailua) historically...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Erosion,
Hawaii,
Pacific Islands CASC,
Reef,
Abstract (from http://journals.sagepub.com/doi/abs/10.1177/0739456X16657160): Sea-level rise (SLR) presents risks to communities and ecosystems because of hazards like coastal erosion. In order to adapt, planners and the public seek estimates of shoreline change with high confidence and accuracy. The complexity of shorelines produces considerable uncertainty in the timing, location and magnitude of change. We present and discuss a probabilistic shoreline model for SLR planning. Using the coast of Maui as an illustrative case, we compare this model to a common deterministic model. We discuss the advantages of a probability-based model for SLR adaptation, including for prioritizing actions, phasing, visualizing risk...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Pacific Islands CASC,
Science Tools For Managers,
Sea-Level Rise and Coasts,
Water, Coasts and Ice,
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Coastal Uplands,
Conservation Areas,
Florida,
Habitat Migration,
Landscape Conservation,
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Acadia National Park,
ArcGIS Pro,
Arcpy,
Autoclassification,
Automation,
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,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Pine Snake,
Southeast,
connectivity,
corridors,
future projection,
Infrastructure layer of sewage pumps in Palau (from PALARIS) with elevation data (from USGS 10-m DEM)
To examine Palau residents’ reliance on reef fish, we reviewed published peer-reviewed literature, non-governmental organizations’ surveys, and unpublished data from a survey conducted by this project’s team. Volume of reef fish caught, consumed, and bartered at periurban, urban, and rural states was compared to the area of reefs within state waters to calculate fishing pressure. Data on fish residential consumption was triangulated and synthesized across data sources, including PIs Oleson and Lewis’ unpublished data from a resident survey conducted in 2018, an SPC dataset of fisher households conducted in 2018, and peer-reviewed literature.
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Atlantic Ocean,
Barrier Island,
Bayesian Network,
CMHRP,
Coastal Erosion,
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