Grants / Department of the Interior / Geological Survey

G25AS00353: Cooperative Agreement for affiliated Partner with the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit (CESU)

Closed Closed October 30, 2025 Opportunity G25AS00353 ☆ Save

This grant is closed. A newer notice from the same program is open now: Cooperative Agreement for affiliated Partner with Alaska Cooperative Ecosystem Studies Unit (G27AS00066). Status: Closes December 7, 2026 (30 days left). It is in our archive of Geological Survey notices from 2025.

• Award ceiling$480,000
• Award floor$1
• Total funding$480,000
• Expected awards1
• Cost sharingNot required
• Funding typeCooperative Agreement

Key dates

Who can apply

This opportunity was open to the applicants described in the notice.

• Others (see text field entitled "Additional Information on Eligibility" for clarification)

This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Units (CESU) Program. CESU"s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit (CESU) Program.

Is this a realistic fit?

• Past U.S. Geological Survey Research and Data Collection awards averaged $557,251; this notice allows up to $480,000 per award.
• Most of the program's money (84% over five years) went to colleges and universities.
• No cost sharing or match is required.

What the grant funds

The primary responsibility of the US Geological Survey (USGS) is to assist natural resource, land, and mineral managers by providing them with sound biological information and assistance in applying the information to their needs. The USGS Great Lakes Science Center (GLSC) has specific authorities under the Great Lakes Fisheries Research Authorization Act (H.R. 1865, Title II) to conduct fisheries research to "...execute a comprehensive, multi-lake, freshwater fisheries science program..." to support management decision making by parties to the Great Lakes Council of Lake Committees (CLC). Under this authority, GLSC works across the Great Lakes basin to carry out annual lake-wide surveys of prey fish abundances; answer discrete research questions about fish, limnology, and ecosystems; map habitats; and develop technological solutions to persistent or imperfect sampling problems. GLSC"s science products support the information needs of the Great Lakes Fisheries Commission, parties to the Great Lakes Water Quality Agreement, the Great Lakes Restoration Initiative, the International Joint Commission, and other regional and national partners. The work of GLSC is critical to maintaining the economic prosperity of Americans that rely on fisheries for revenue generation. Multiple Great Lakes fish stocks are in decline due to a combination of factors ranging from invasive species to habitat degradation. Lake whitefish is one such species. One impediment to healthy stocks of lake whitefish and similar species is degradation of habitats where they deposit their eggs and hatch their young. USGS is engaged in research to understand and hopefully alleviate impediments to fisheries productivity to help maintain American prosperity, which in the Great Lakes is supported by $7B in annual revenues from fisheries related industries. This funding opportunity is for a cooperator to assist with our understanding of how lake-bed habitats contribute to fisheries success. Specifically, a need exists to develop high-resolution maps of habitats that can be used to support ongoing studies of the role of habitat in fish production. The successful cooperator will use underwater images collected by USGS"s autonomous underwater vehicles (AUVs) to map habitats at the very high resolutions using photogrammetric techniques like Structure from Motion.

Category: Science and Technology and other Research and Development.

Applying now

This notice no longer takes applications. Apply under the newer notice, G27AS00066, which is open now.

The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.