Opportunity Information: Apply for G17AS00069
This grant opportunity, titled "Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests (CESU)," is a US Geological Survey (USGS) funding call issued through the National Climate Change and Wildlife Science Center (NCCWSC). It supports a research effort connected to a larger project called "Global assessment of inland fisheries production and projected response to climate change." The main purpose is to build a research program that can estimate river fish production worldwide, especially in places where traditional fisheries data are sparse or inconsistent. In practice, the award is meant to push beyond standard stock-assessment approaches and develop workable methods for generating production estimates even when only limited inputs are available.
The work scope emphasizes three linked deliverables. First, the selected CESU partner is expected to develop "data-limited" fisheries production models for river systems using non-traditional approaches. That generally means creating modeling strategies that can operate with incomplete catch, effort, life history, or monitoring datasets and still produce defensible estimates of fish production at broad scales. Second, the partner must use those models to project how river fish production could change under climate change conditions, implying the integration of climate variables or scenarios to estimate future production patterns rather than just describing current status. Third, the partner must manage a global river fisheries database, which suggests responsibilities around compiling, organizing, documenting, updating, and maintaining an accessible dataset that supports the modeling and projections. The opportunity also calls for dissemination of findings, so the output is not only technical model development and database work, but also sharing results in ways that can be used by researchers and resource managers.
Administratively, this is a discretionary funding opportunity delivered as a cooperative agreement, which typically indicates substantial involvement or collaboration with the federal agency during the project period rather than a simple pass-through grant. The funding activity category is "Science and Technology and other Research and Development," and the listed CFDA number is 15.820. The opportunity is limited to eligible applicants categorized as "Others," but the key restriction is that applicants must be an official participating partner within the Great Lakes Northern Forests Cooperative Ecosystem Studies Unit. CESUs are structured partnerships designed to streamline research, technical assistance, and education collaborations between federal agencies and a network of partner institutions, so eligibility hinges on being within that specific CESU network.
The opportunity was posted under Funding Opportunity Number G17AS00069, created on 2017-05-30, with an original closing date of 2017-06-16. USGS anticipated making one award, with an award ceiling of $41,614. In short, it is a single-award, targeted research grant intended to advance global-scale methods for estimating riverine fish production, link those estimates to climate change projections, and support the underlying global database infrastructure needed to make the assessment credible and reusable.Apply for G17AS00069
- The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests (CESU)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.820.
- This funding opportunity was created on 2017-05-30.
- Applicants must submit their applications by 2017-06-16. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $41,614.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others.
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