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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
Categories: Data Release - Revised;
Types: GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chippewa,
Great Lakes,
Holocene,
Lake Huron,
Lake Michigan,
This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to...
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation...
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The GLCWRA initiative uses principles of geodesign to identify coastal wetland areas that have the greatest potential for habitat restoration. The data model uses the following seven primary parameters to identify and rank wetland restoration areas. The parameters are: Parameter 0: Water Parameter 1: Hydroperiod Parameter 2: Wetland Soils Parameter 3: Flowlines Parameter 4: Conservation and Recreation Lands Parameter 5: Impervious Surfaces Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value) The ancillary data include dikes, degree...
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the location of dikes within the Green Bay Restoration Assessment (GBRA) study area. An ArcGIS model (Python script) identified dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold, the area was not considered a dike. However, if the difference in elevation between two points was significantly high, then the area was marked as a dike. Areas continuous with each other were considered part of the same dike. Data underwent quality control (QC) procedures by having Subject Matter Experts and those...
The USGS Lake Erie Biological Station’s East Harbor sampling program began in 1961 with the commissioning of the research vessel Musky II. It is the longest known continuous trawl survey in Lake Erie. In addition to spanning over 50 years, the data series is unique for three prominent design elements: 1) sampling was conducted at three depth strata; 2) replicate trawl samples were collected at each depth stratum; and 3) sampling was conducted during both day and night. Unlike other trawl series collected in Lake Erie, and throughout the Great Lakes, the East Harbor program is the only one to combine these sampling practices in a single survey. In 2012, the original vessel used since the inception of the East Harbor...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cedar-Portage,
Field Sampling,
Fishery Resources,
Lake Erie,
Population and community ecology,
The U.S. Geological Survey used a ponar sampler to collect bed material from the Middle Channel of the St. Clair River Delta on November 10, 2021. Three sediment samples were collected upstream of the artificial spawning reefs constructed in the Middle Channel and two on the reefs themselves.The bed sediment samples were dried and sieved at 1/2 phi increments to determine their grain-size distribution.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geomorphology,
Hydrology,
Sedimentology,
USGS Science Data Catalog (SDC)
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Green Bay Restoration Assessment (GBRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree flowlines,...
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