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A barrier island seagrass habitat suitability index (HSI) model was developed for the Alabama barrier island restoration assessment at Dauphin Island. Shoal grass (Halodule wrightii) was selected as the representative species for seagrass community near Dauphin Island waters since H. wrightii is the dominant species (>62%) of seagrass communities in this area due to its rapid growth and tolerance to a wide range of salinity. Five water quality and morphological variables were selected and their relationships with habitat suitability were developed and incorporated into the seagrass HSI model for Dauphin Island restoration assessment: 1) mean salinity during the summer growing season, 2) mean temperature during the...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Vegetation and elevation survey data were collected in 4-square-meter quadrats via Real-Time Kinematic GPS from September 9, 2018 to April 17, 2019 on Dauphin Island, AL. Vegetation data included total percent herbaceous cover, percent cover by plant species, and mean height of vegetation within the quadrat. The percent cover by species was used to determine the dominant species for the plot.
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AL, Alabama, CMGP, Coastal and Marine Geology Program, DSAS, All tags...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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A spatially explicit oyster habitat suitability index (HSI) model was developed for the Alabama barrier island restoration assessment at Dauphin Island. Based on previous oyster habitat suitability studies, seven water quality variables were selected and their relationships with habitat suitability were developed and incorporated into the oyster HSI model for Dauphin Island restoration assessment: 1) mean salinity, 2) minimum monthly mean salinity, 3) annual mean salinity, 4) annual mean dissolved oxygen, 5) annual mean total suspended solids, 6) annual mean water depth, and 7) annual mean water temperature. The final HSI score was calculated using the weighted geometric mean of the suitability scores of these individual...
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A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea-levels. In this study, we loosely coupled a habitat model framework with decadal hydrodynamic geomorphic model outputs to forecast habitats for 2 potential future conditions related to storminess (that is, "medium" storminess and "high" storminess based on storm climatology data) and 4 sea-level scenarios (that is, a "low" increase in sea level 0.3 m by around 2030 and 2050 and 1.0 m by around...
A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea level (Enwright and others, 2020). This USGS data release contains five habitat model predictions from the aforementioned modeling effort. These include: (1) the contemporary period (that is, 2015); (2) with action Year 0 (that is, hypothetically, predicted habitat coverage in 2128 based on our sea-level change rate); (3) with action Year 10 (that is, predicted habitat coverage after ten years...
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These data represent low-lying lands and intertidal lands on Dauphin Island, Alabama, USA for January 2015. These data were delineated using airborne lidar elevation data, in situ elevation observations, lidar metadata, and tide gauge information. We applied Monte Carlo simulations to incorporate uncertainty into a digital elevation model and produce probabilistic outputs with regards to elevation relative to tide and water levels. Specifically, these include three error treatments, including leaving error untreated, and treating error via simulating the propagation of error using Monte Carlo simulations with error and bias estimates from the lidar metadata and site-specific Real-time Kinematic Global Position System...
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This dataset includes barrier island land cover types collected from mid-November 2015 to mid-December 2015 along randomly placed transects at seven sites throughout the east end of Dauphin Island. Specifically, this data collection included characterizing land cover types and measuring horizontal position and elevation. We characterized plant community composition and structure for a subset of these points (see Vegetation Survey Data Table). This work was conducted through a joint effort by the State of Alabama, the U.S. Geological Survey, and the U.S. Army Corps of Engineers to evaluate the feasibility of various restoration alternatives and how specific alternatives might increase the resiliency and sustainability...
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This U.S. Geological Survey data release includes bare-earth digital elevation models (DEMs) that were produced by removing elevation bias in vegetated areas from structure-from-motion (SfM) data products for two sites on Dauphin Island, Alabama. These data were collected in the late fall of 2018 and spring of 2019. In addition to the bare-earth DEMs, this data release also includes vegetation masks, examples of model uncertainty, training data, prediction data, and validation data associated with this effort.
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...


    map background search result map search result map Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Alabama Offshore baseline for the Alabama coastal region generated to calculate shoreline change rates Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for Alabama Shorelines of the Alabama coastal region used in shoreline change analysis Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for Alabama Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Alabama Barrier island habitat map and vegetation survey, Dauphin Island, AL, 2015 The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands USGS 1:62500-scale Quadrangle for Dauphin Island, AL 1921 Oyster habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island Seagrass habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island Assessing habitat change and migration of barrier islands Developing bare-earth digital elevation models from structure-from-motion data on barrier islands, Dauphin Island, AL, 2018–2019 Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018–19 Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Alabama Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018–19 Developing bare-earth digital elevation models from structure-from-motion data on barrier islands, Dauphin Island, AL, 2018–2019 Barrier island habitat map and vegetation survey, Dauphin Island, AL, 2015 The impact of lidar elevation uncertainty on mapping intertidal habitats on barrier islands Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Alabama Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for Alabama Offshore baseline for the Alabama coastal region generated to calculate shoreline change rates Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island Assessing habitat change and migration of barrier islands Shorelines of the Alabama coastal region used in shoreline change analysis Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for Alabama USGS 1:62500-scale Quadrangle for Dauphin Island, AL 1921 Oyster habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island Seagrass habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island