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Saginaw Bay Restoration Assessment Composite Model (2016)

Dates

Publication Date
Time Period
2005-01-01

Citation

Saarinen, J.A., 2016, Saginaw Bay Restoration Assessment Composite Model: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7NS0S0Z.

Summary

Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of Saginaw Bay. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Hopkins, A.L., Jaenicke, [...]

Contacts

Point of Contact :
NewGAM Lab
Originator :
Justin Saarinen
Metadata Contact :
Constance Sartor
Publisher :
U.S. Geological Survey
Distributor :
NewGAM Lab, ScienceBase Team

Attached Files

Click on title to download individual files attached to this item.

SBRA_CompositeIndex10m.tfw 92 Bytes text/plain
2.46 GB image/geotiff

Purpose

The Great Lakes Restoration Initiative (GLRI) is an over $4B 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; 2014). The data were collected in order to model, using a geodesign approach, the restorability of coastal wetlands and help managers prioritize future restoration projects. Restorability model developed by New College and USGS using detailed terrain and historical lake levels, and national soils, wetlands, land use, and land cover data.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7NS0S0Z

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