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Green Bay Restoration Assessment

Summary

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, culverts, [...]

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Purpose

These datasets represent the wetland restoration composite index for the GLCWRA Green Bay Restoration Assessment (GBRA). GBRA encompasses the entirety of Green Bay, northward along the Lake Michigan coast of the Upper Peninsula and Seul Choix Bay, and southward along the Lake Michigan coast of Wisconsin to Manitowoc. The Great Lakes Restoration Initiative (GLRI) is a $3.8B U.S. congressional investment in the restoration of Great Lakes ecosystems. Restoration goals of the GLRI include the functional restoration of Great Lakes coastal wetlands (Great Lakes Restoration Initiative 2010; 2015; 2020). The data were collected to model, using a geodesign approach, the restorability of coastal wetlands and to help managers prioritize future restoration projects. The restorability model developed by New College of Florida and USGS uses a detailed terrain, historical lake levels, national soils, wetlands, land use, and land cover data as important factors to consider within the model. This dataset was created with methodology outlined at https://glcwra.wim.usgs.gov/

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ScienceBase WMS

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  • Great Lakes Science Center (GLSC)

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Input directly

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