Filters: partyWithName: Nicholas M Enwright (X)
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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...
The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
This package includes a detailed habitat map, general habitat map, and georeferenced imagery from 2019 for the National Fish and Wildlife Foundation (NFWF) Caminada Headland Beach and Dune Restoration Incr2 project area (BA-0143). The project restored 489 acres of beach and dune habitat along more than seven miles of Caminada Headland in Jefferson and Lafourche Parishes through the direct placement of about 5.4 million cubic yards of sandy substrate from Ship Shoal. The habitat maps are part of a suite of Caminada Headland habitat maps for the years 2012, 2015, and 2017–19, which span the time period before, during, and after the restoration project was conducted. For more information on this restoration project,...
This package includes a detailed habitat map, general habitat map, and georeferenced imagery from 2018 for the National Fish and Wildlife Foundation (NFWF) Caminada Headland Beach and Dune Restoration Incr2 project area (BA-0143). The project restored 489 acres of beach and dune habitat along more than seven miles of Caminada Headland in Jefferson and Lafourche Parishes through the direct placement of about 5.4 million cubic yards of sandy substrate from Ship Shoal. The habitat maps are part of a suite of Caminada Headland habitat maps for the years 2012, 2015, and 2017–19, which span the time period before, during, and after the restoration project was conducted. For more information on this restoration project,...
The Bureau of Ocean Energy Management (BOEM) researchers often require detailed information regarding emergent marsh vegetation types (i.e., fresh, intermediate, brackish, and saline) for modeling habitat capacities and mitigation. In response, the U.S. Geological Survey, in collaboration with the Bureau of Ocean Energy Management produced a detailed change classification of emergent marsh vegetation types in coastal Louisiana from 2007 and 2013. This study incorporates decision-tree analyses to classify emergent marsh vegetation types using two existing vegetation surveys and independent variables such as Landsat and high-resolution airborne imagery from 2007 and 2013, bare-earth digital elevation models based...
The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
Categories: Data;
Types: Citation;
Tags: Corpus Christi,
Galveston,
Grand Bay,
Gulf of Mexico,
Laguna Madre,
The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
Categories: Data;
Types: Citation;
Tags: Corpus Christi,
Galveston,
Grand Bay,
Gulf of Mexico,
Laguna Madre,
This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Big Cypress National Preserve. For information on the digital elevation model (DEM) source used to develop these datasets refer to the corresponding spatial metadata file (Danielson and others, 2023). This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding...
In the next 100 years, accelerated sea-level rise (SLR) and urbanization will greatly modify coastal landscapes across the globe. More than one-half of coastal wetlands in the contiguous United States are located along the Gulf of Mexico coast. In addition to supporting fish and wildlife habitat, these highly productive wetlands support many ecosystem goods and services including storm protection, recreation, clean water, and carbon sequestration. Historically, tidal saline wetlands (TSWs) have adapted to sea-level fluctuations through lateral and vertical movement on the landscape. As sea levels rise in the future, some TSWs will adapt and migrate landward in undeveloped low-lying areas where migration corridors...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Northern Gulf of Mexico,
adaptation,
adaptation,
climate change,
climate change,
This data release is currently being revised, and is currently unavailable. This data set includes mosaicked aerial photographs for the Riverine Sand Mining/Scofield Island Restoration (BA-40) project for 2014. This data is used as a basemap habitat classification. If repeated, it can also serve as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification was performed on specific projects to help assess landscape changes.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: BA-40,
Coastal Louisiana,
Ecology,
Geography,
Geomorphology,
Global climate change is leading to large-scale shifts in species’ range limits. For example, rising winter temperatures are shifting the abundance and distributions of tropical, cold sensitive plant species towards higher latitudes. Coastal wetlands provide a prime example of such shifts, with tropical mangrove forests expanding into temperate salt marshes as winter warming alleviates past geographic limits set by cold intolerance. These rapid changes are dynamic and challenging to monitor, and uncertainty remains regarding the extent of mangrove expansion near poleward range limits. Here, we synthesized existing datasets and expert knowledge to assess the current (i.e., 2021) distribution of mangroves near dynamic...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alabama,
Botany,
Ecology,
Florida,
Gulf of Mexico,
This data release includes data from 1996-2005 for the Louisiana Barrier Island Comprehensive Monitoring Program. Specifically, this data release includes general habitat maps for West Chenier Plain, Early Lafourche Delta, Late Lafourche Delta, Modern Delta, Chandeleur Islands Regions. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology).
Categories: Data;
Tags: Barataria Pass,
Caminada Headland,
Cat Island Pass,
Chandeleur Islands,
Geography,
The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic elevations,...
Categories: Data Release - Revised;
Tags: Early Lafourche Delta Region,
Gulf of Mexico,
Jefferson Parish,
Lafourche Parish,
Louisiana,
This data set includes mosaicked aerial photographs for the Shell Island East Barrier Island Restoration (BA-0110) project both pre and post-construction for 2013. This data is used as a basemap habitat classification. If repeated, it can also serve as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification was performed on specific projects to help assess landscape changes. First posted - June 18, 2018 (available from author) Revised - July 15, 2021 (version 1.1)
This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Dry Tortugas National Park. These datasets were developed using digital elevation model (DEM) from National Oceanic and Atmospheric Administration (NOAA). This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by NOAA. We estimated...
The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana's Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
Categories: Data Release - Revised;
Tags: Acadiana Bays Region,
Gulf of Mexico,
Iberia Parish,
Louisiana,
Louisiana Coastal,
The Mississippi Coastal Improvement Program (MsCIP) Monitoring and Adaptive Management Program (MAMP) notes that five sea turtle species are found in the northern Gulf of Mexico, including loggerhead, green, Kemp’s ridley, leatherback, and hawksbill. Green, loggerhead, and Kemp’s ridley sea turtles are regularly documented in the waters surrounding the barrier islands of Gulf Islands National Seashore. Of these, only loggerhead sea turtles have been confirmed as nesting on the islands in the Mississippi Sound and they are the only species with designated critical habitat within the island chain (Horn and Petit Bois Islands). Green sea turtle nests have been found on the Mississippi islands; however, these nests...
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...
High-resolution elevation data provide a foundational layer needed to understand regional hydrology and ecology under contemporary and future-predicted conditions with accelerated sea-level rise. While the development of digital elevation models (DEMs) from light detection and ranging data has enhanced the ability to observe elevation in coastal zones, the elevation error can be substantial in densely vegetated coastal wetlands. In response, we developed a machine learning model to reduce vertical error in coastal wetlands for a 1-m DEM from 2018 that covered Nassau and Duval Counties, Florida. Error was reduced by using a random forest regression model within situ observations and predictor variables from optical...
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