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This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for Whiskey Island. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about BICM...
This study monitored soil surface elevation change from mangrove forests fertilized with nitrogen and phosphorus from 2018-2021. The mangroves selected at Ding Darling National Wildlife Refuge (NWR) have been previously exposed to high nutrient loading from agricultural discharge into the Caloosahatchee River, which elevated soil phosphorus levels to 3-4 times ambient before treatments were impose. Sea-level rise vulnerability with additional nitrogen and phosphorus is a concern for these mangrove ecosystems.
Categories: Data;
Tags: Ecology,
Florida,
Gulf of Mexico,
Sanibel Island,
USGS Science Data Catalog (SDC),
This dataset provides bi-monthly data on seed biomass collected in shallow water habitats across the fresh to saline gradient at coastal sites in Barataria Bay, Louisiana. This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives and the South Central Climate Adaptation Science Center. An alternate reference to this product can be found here: https://www.sciencebase.gov/catalog/item/5a78c158e4b00f54eb1e84a6.
Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Academics & scientific researchers,
Alabama,
Alabama,
BEACHES,
Baseline,
Gulf Hypoxia Workshops
NOAA’s Deep Sea Coral Research and Technology Program (DSCRTP) is compiling a national database of the locations of deep-sea corals and sponges, beginning in U.S. waters. The DSCRTP will make this information accessible to resource managers, the scientific community, and the public over the World Wide Web. The database fulfills NOAA’s requirements under the Magnuson-Stevens Fishery Conservation and Management Act (MSA) to identify and map locations of deep-sea corals and to submit this information for use by regional fishery management councils. At present, there is no comprehensive, national-scale data portal for deep-sea corals and sponges. Given the authorities outlined in MSA, NOAA’s Deep Sea Coral Research...
Categories: Data;
Types: Citation;
Tags: Arctic Ocean,
Atlantic Ocean,
Caribbean Sea,
Gulf of Mexico,
North America,
Improved Gulf Hypoxia Planning Tool: Landscape scale planning tools focus conservation priorities through a series of region-specific lenses. These tools include: CHAT; SECAS; Gulf Hypoxia Initiative - Precision Conservation Blueprint v1.5; and landscape designs developed by the Great Plains LCC and Gulf Coast Prairie LCC. Discussions with industry, agency and organizational leaders across the mid-continent suggest that the time is ripe for opening a dialogue about how to bridge the planning between the west and east to find the appropriate stakeholder-driven set of mid-continent connections for a network of lands and waters. The recipient will assist staff from multiple LCCs and other interested entities in setting...
This data release includes 2017 data for the Louisiana Outer Coast Restoration Project for Chenier Ronquille. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about...
This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for Chenier Ronquille. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about...
Description of condition index value scores for estuarine tidal marsh along and within 10 km of the GCPO LCC Gulf Coast subgeography. A series of raster calculations were used in a dichotomous decision-based framework to compile a per-pixel draft condition index value at a 10 m resolution for GCPO estuarine tidal marsh based on the number of configuration and condition endpoints met within each marsh pixel. Pixels not identified as a estuarine marsh but that were identified as having the potential to be marsh were given a score of 1, provided the pixels were not classified as developed. Potential estuarine tidal marsh pixels were derived from a combination of potential estuarine tidal marsh classes in the Landfire...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AQUATIC ECOSYSTEMS,
AQUATIC ECOSYSTEMS,
BIOSPHERE,
BIOSPHERE,
BIOSPHERE,
The success of Gulf Coast restoration efforts hinge on partners sharing a common vision for conservation framed by explicit biological objectives for specific conservation targets. However, specific and explicit biological objectives that quantify what it means to actually share a common vision remain undefined. Therefore, this project’s goal is to develop explicit biological objectives for a common suite of conservation targets representative of sustainable Gulf habitats across the four Gulf Landscape Conservation Cooperatives (LCCs)(i.e., Gulf Coast Prairie, Gulf Coastal Plains & Ozarks, Peninsular Florida, and South Atlantic) and, for a subset of those species, to use Bayesian Network models to link these biological...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Complete,
Data,
EARTH SCIENCE,
EARTH SCIENCE SERVICES > MODELS,
This data release includes geospatial data for irregularly flooded wetlands and high marsh and salt pannes/flats along the northern Gulf of Mexico coast from Texas to Florida. Specifically, this release includes seven products: (1) a map highlighting the continuous probability that an area is an irregularly flooded wetland; (2) a map of irregularly flooded wetland probability reclassified into four bins; (3) a map delineating high marsh and salt pannes/flats; (4) a map from Lake Pontchartrain, Louisiana to the Florida Big Bend delineating the coverage of irregularly flooded wetlands that have Juncus roemerianus (Black needlerush) as the dominant vegetation species; (5) a spatial metadata file showing what elevation...
The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Four Mile Canal Terracing and Sediment Trapping (TV-18) project for 2015 and 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems...
The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Hopedale Hydrologic Restoration (PO-24) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: CWPPRA,
Geography,
Gulf of Mexico,
Land Use Change,
Louisiana,
Imputed salinities from either salinity or specific conductance observations and covariate data in data structures deemed suitable for statistical modeling of salinity in near-coastal environments of the northern Gulf of Mexico are provided for 15 salinity groups. The data herein were created by the 'covardr2formodel.R' script of 'covESTUSAL software' (Asquith and others, 2023), which represents terminal decisions on variable setup and transformations. The design ideal is data downloaded from this data release would be used in some path of “input” within statistical modeling software. Copious documentation of the decision process for data assembly is provided by Asquith and others (2023).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
Salinity,
The dataset entitled “imputedsalt_MissS” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Mississippi Sound,
Modeling,
The dataset entitled “imputedsalt_GalBa” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Galveston Bay,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
The Gulf Coast Vulnerability Assessment (GCVA) used an expert opinion approach to qualitatively assess the vulnerability of four ecosystems: mangrove, oyster reef, tidal emergent marsh, and barrier islands, and a suite of wildlife species that depend on them. More than 50 individuals participated in the completion of the GCVA, facilitated via Ecosystem and Species Expert Teams. The GCVA made use of the Standardized Index of Vulnerability and Value Assessment (SIVVA) (Reece and Noss 2014) to provide an objective framework for evaluating vulnerability by guiding assessors through a series of questions related to the changes an ecosystem or species might experience due to climate change and other threats. Assessors...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
BARRIER ISLANDS,
BIOSPHERE,
BIOSPHERE,
Barrier Islands,
Species occurrence records of the taxonomic class of Bivalvia in oceans within 1000 kilometers of the United States shoreline. This is a subset of the OBIS-USA dataset where Bivalvia records were queried on December 2, 2014. After initial queries, the remaining data were further queried to retain only samples within 1000 kilometers of the U.S. shoreline. Spatial queries were then used to remove samples overlaying land masses. Data are provided in a geodatabase format, as well as a comma seperated values format. OBIS-USA provides aggregated, interoperable biogeographic data collected primarily from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, Gulf of Mexico and...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Abundance (organisms),
Aquatic animals,
Aquatic environments,
Aquatic habitats,
Arctic Ocean,
Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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