Opportunity Information: Apply for G19AS00115
The Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU funding opportunity (Funding Opportunity Number G19AS00115) is a discretionary U.S. Geological Survey (USGS) research and development award issued by the Department of the Interior under CFDA 15.808. It is structured as a cooperative agreement, meaning the selected partner should expect active collaboration with USGS staff rather than a simple pass-through grant. The core purpose is to build and refine a practical suite of high-resolution mapping methods that can be used more broadly for ongoing monitoring programs and targeted scientific studies in aquatic systems, with a major emphasis on dreissenid mussels (for example, zebra and quagga mussels), while also supporting mapping of other species of interest and the physical habitats they occupy.
The work USGS is seeking centers on integrating multiple data streams and turning them into reliable, repeatable products that field programs can use. One major component is echosounder-based surveying. The partner is expected to provide strong technical guidance on how to collect echosounder data in the field and how to manage, process, and handle those acoustic datasets afterward so they are usable for analysis and long-term monitoring. In addition to advising on data collection and handling, the partner is also expected to test analytical or statistical models that use echosounder data to predict dreissenid mussel abundance. In practice, this means evaluating candidate modeling approaches, checking how well predictions match observations, and helping determine which methods are robust enough for routine monitoring or for identifying high-priority areas for research and management.
A second technical thrust is habitat characterization, specifically the development and testing of analytical models that classify bottom substrates. This is aimed at producing dependable classifications of lake or riverbed types (bottom composition and related habitat features) at high resolution, which is important both for understanding mussel distributions and for broader ecological interpretation. The intent is not just to produce a one-off map, but to advance methods that can be expanded and reused across locations and projects.
A third component involves underwater imagery and automation. The selected CESU partner is expected to contribute to the development of software that can automatically recognize mussels in underwater images. This implies expertise in image analysis workflows and the ability to help move toward automated or semi-automated detection, which can reduce the time and cost of manual image review and support scalable monitoring.
Eligibility is limited to CESU partners under the Great Lakes Northern Forests CESU, with the listing indicating "Others" and directing applicants to additional eligibility language in the full notice. USGS anticipated making one award, with an award ceiling of $75,742. The opportunity was created on July 10, 2019, and originally closed on July 26, 2019. Overall, the grant is best understood as a targeted applied R&D collaboration to improve high-resolution mapping and detection techniques for invasive mussels and associated habitats, emphasizing acoustic survey methods, substrate classification modeling, and automated image-based recognition tools that can be adopted for broader monitoring and research use.Apply for G19AS00115
- The Department of the Interior, U. S. 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): 15.808.
- This funding opportunity was created on Jul 10, 2019.
- Applicants must submit their applications by Jul 26, 2019. (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 $75,742.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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