Researcher IV
Email:
ldale@contractor.usgs.gov
Office Phone:
337-266-8560
ORCID:
0000-0002-3480-9954
Location
700 Cajundome Blvd.
Lafayette
, LA
70506
US
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To quantify the potential for landward migration at the estuary level, we developed a geospatial dataset for the conterminous United States (CONUS) that identifies the boundaries for estuarine drainage areas. Nine estuarine drainage areas in south Florida were delineated using data developed by the South Florida Water Management District (SFWMD 2018). For the rest of CONUS, we used information contained within the National Fish Habitat Action Plan (NFHAP) - Coastal Spatial Framework (CSF) (National Centers for Coastal Ocean Science 2021). The original NFHAP-CSF data included 612 drainage areas, which were too many for our purposes. Therefore, we merged smaller drainage areas with larger, adjacent drainage areas...
Tags: Alabama,
Aquatic Biology,
Atlantic coast,
Botany,
California, All tags...
Climatology,
Connecticut,
Conterminous United States,
Contiguous United States,
Delaware,
District of Columbia,
East coast,
Ecology,
Florida,
Georgia,
Gulf of Mexico coast,
Louisiana,
Maine,
Maryland,
Massachusetts,
Mississippi,
New Hampshire,
New Jersey,
New York,
North Carolina,
Oregon,
Pacific coast,
Pennsylvania,
Rhode Island,
South Carolina,
Texas,
USGS Science Data Catalog (SDC),
United States,
Virginia,
Washington,
West coast,
biota,
boundaries,
coastal,
coastal drainage area,
environment,
estuarine drainage area,
estuary, Fewer tags
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We quantified the potential area available for landward migration of tidal saline wetlands and freshwater wetlands due to sea-level rise (SLR) at the estuary scale for 166 estuarine drainage areas and at the state scale for 22 coastal states and District of Columbia. We used 2016 Coastal Change Analysis Program (C-CAP) data in combination with the future wetland migration data under the 1.5 m global SLR scenario to evaluate the potential for wetland migration into all the individual C-CAP classes and into the following six land cover categories: (1) freshwater forest (wetland); (2) freshwater marsh (wetland); (3) terrestrial forest (upland); (4) terrestrial grassland (upland); (5) agricultural croplands (upland);...
Categories: Data;
Tags: Alabama,
Aquatic Biology,
Atlantic coast,
California,
Climatology, All tags...
Connecticut,
Conterminous United States,
Contiguous United States,
Delaware,
District of Columbia,
East coast,
Ecology,
Florida,
Forestry,
Georgia,
Gulf of Mexico coast,
Hydrology,
Land Use Change,
Louisiana,
Maine,
Maryland,
Massachusetts,
Mississippi,
New Hampshire,
New Jersey,
New York,
North Carolina,
Oregon,
Pacific coast,
Pennsylvania,
Remote Sensing,
Rhode Island,
South Carolina,
Texas,
USGS Science Data Catalog (SDC),
United States,
Virginia,
Washington,
West coast,
biota,
coastal,
coastal drainage area,
coastal wetland,
environment,
estuarine drainage area,
estuary,
freshwater wetland,
tidal saline wetland,
wetland migration, Fewer tags
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This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bayesian network,
Florida,
Gulf of Mexico,
adaptive management,
beach mouse, All tags...
coastal dunes,
downlisting criteria,
landscape conservation,
strategic habitat conservation, Fewer tags
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This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice...
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This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bayesian network,
Florida,
Gulf of Mexico,
adaptive management,
beach mouse, All tags...
coastal dunes,
downlisting criteria,
landscape conservation,
strategic habitat conservation, Fewer tags
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