Grants / Department of the Interior / Geological Survey

G26AS00065: Cooperative Agreement for Affiliated Partner with the Great Rivers Cooperative Ecosystem Studies Unit (CESU)

Closed Closed February 15, 2026 Opportunity G26AS00065 ☆ 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$48,500
• Award floor$1
• Total funding$48,500
• 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. CESUs are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Great Rivers 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 $48,500 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 USGS is offering a funding opportunity to a CESU partner for research on maximizing the return on investment of natural resource monitoring to efficiently and effectively manage invasive aquatic species. Invasive species monitoring programs are typically established to track the dynamics of invasive species over time, either directly or indirectly. In many cases, monitoring invasive species dynamics is not sufficient because control or management actions are implemented based on economic or ecological impacts. Monitoring invasive species involves tracking their dynamics and assessing their economic and ecological impacts. Therefore, monitoring data is not optimized to inform the outcomes of invasive species control or other management actions, thereby limiting the decision relevance of monitoring efforts and precluding the development of formalizing learning. Learning can be formalized using analytical approaches, such as Bayesian belief networks, to employ iterative updating (i.e., Bayesian learning) and monitor data to inform the iterative application of invasive species control or management actions, thereby meeting natural resource agency management objectives. Integrating monitoring of invasive species dynamics with monitoring of concurrent economic and ecological impacts is required to maximize the return on monitoring investment and maximize the value of monitoring data for iterative learning, which in turn is needed to maximize the effectiveness of control or management actions. This project will fill a knowledge gap in efficient, effective, and economic monitoring approaches, with an emphasis on informing the effectiveness of management actions intended to control invasive species and minimize economic impacts in the Mississippi River Basin. Specifically, once an invasive species invades an aquatic system, existing monitoring continues to follow established protocols that are suboptimal in informing the effectiveness of management actions. Developing frameworks that iteratively update from accumulated monitoring efforts can adapt to what is learned, maximizing the return on investment in evaluating the effectiveness of management actions intended to control invasive aquatic species.

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.