Opportunity Information: Apply for G27AS00079
The U.S. Geological Survey (USGS) is soliciting a cooperative agreement proposal from an eligible partner within the Great Lakes-Northern Forest Cooperative Ecosystem Studies Unit (CESU) network to support nationally focused research on biogeographic information for fish and other aquatic organisms. The central aim is to strengthen the science and tools used to map, analyze, and interpret where freshwater species occur across the United States, what habitat conditions they depend on, and what their conservation needs look like at broad geographic scales. The work is framed as actionable science, meaning the expected outputs should be practical for resource managers who make decisions about aquatic species conservation and freshwater ecosystem management.
The project is organized around three technical thrusts. First, USGS is looking for advances in statistical and analytical approaches that combine multiple lines of evidence to improve species distribution models for freshwater organisms. In practice, this points to methods that can integrate different kinds of data (for example, occurrence records, survey datasets, environmental predictors, and other relevant information) to produce stronger and more realistic distribution estimates. Second, the project emphasizes rigorous evaluation of habitat model performance, including accuracy, uncertainty, and sensitivity to environmental conditions. This component is meant to help clarify how reliable model outputs are, where models may be fragile or biased, and how changing environmental variables could affect predicted habitat suitability or distribution patterns. Third, the opportunity calls for modern synthesis approaches, including artificial intelligence, to compile, update, and maintain current information on species traits, conservation status, and habitat preferences. This is essentially a data synthesis and knowledge management track, focused on keeping reference information current and usable, and reducing the lag between new science and the datasets managers rely on.
USGS also highlights that the work should align with Department of the Interior (DOI) science and conservation priorities, particularly efforts that support species management, cooperative conservation, and shared stewardship with partners, including local communities and Tribes. The agency explicitly links the opportunity to multiple DOI policy and strategy drivers, including Secretarial Orders related to expanding hunting and fishing access, implementing Land and Water Conservation Fund priorities, restoring "gold standard" science practices under Executive Order 14303 and its implementation guidance, advancing DOI-wide artificial intelligence transformation, and implementing the Expanding Public Lands Outdoor Recreation Experiences Act. In practical terms, applicants should be prepared to show how their research products improve ecological decision-making, strengthen data quality and transparency, and support on-the-ground conservation and recreation-related management where freshwater resources are involved.
From an applicant fit perspective, the opportunity is best suited to teams with demonstrated capability in aquatic ecology, freshwater biogeography, species distribution modeling, geospatial analysis, and ecological data synthesis. Because this is a cooperative agreement, it also implies an expectation of active collaboration with USGS staff during the project, rather than a hands-off grant relationship. Applicants are encouraged to compare their expertise to the three focus areas and consider whether they can contribute to a nationally relevant set of methods, evaluations, and maintained datasets that extend beyond a single watershed or state.
Administratively, this is a discretionary financial assistance opportunity issued under the CESU program, which is designed to connect federal science needs with partner expertise through research, technical assistance, and education. Only participating partners of the Great Lakes-Northern Forest CESU are eligible to apply. The opportunity number is G27AS00079, listed under CFDA 15.808, and the funding instrument is a cooperative agreement within the Science and Technology and other Research and Development activity category. USGS expects to make one award, with a maximum (ceiling) of $150,000. The opportunity was created on October 14, 2026, and the original application closing date is November 14, 2026.Apply for G27AS00079
- The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Agreement for Affiliated Partner with the Great Lakes-Northern Forest Cooperative Ecosystem Studies Unit (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 2026-10-14.
- Applicants must submit their applications by 2026-11-14. (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 $150,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others.
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Frequently Asked Questions (FAQs)
1) What is the main purpose of this USGS funding opportunity?
The purpose is to support nationally focused research that improves biogeographic information for fish and other aquatic organisms. The overall goal is to strengthen the science and practical tools used to map, analyze, and interpret where freshwater species occur across the United States, what habitat conditions they rely on, and what their broad-scale conservation needs look like.
2) Which agency is offering this opportunity and what type of award is it?
The opportunity is offered by the U.S. Geological Survey (USGS). The funding instrument is a cooperative agreement, issued as a discretionary financial assistance opportunity under the CESU program.
3) What does “actionable science” mean for this project?
“Actionable science” means the expected outputs should be practical and usable for resource managers who make decisions about aquatic species conservation and freshwater ecosystem management. Applicants should be ready to connect their work to real decision-making needs, not just theoretical or purely academic outcomes.
4) What are the three technical thrusts or focus areas USGS is asking applicants to address?
The project is organized around three thrusts:
- Advances in statistical and analytical approaches that combine multiple lines of evidence to improve species distribution models for freshwater organisms (integrating different kinds of data to produce stronger distribution estimates).
- Rigorous evaluation of habitat model performance, including accuracy, uncertainty, and sensitivity to environmental conditions (understanding reliability, fragility, bias, and environmental sensitivity of predictions).
- Modern synthesis approaches, including artificial intelligence, to compile, update, and maintain current information on species traits, conservation status, and habitat preferences (data synthesis and knowledge management to keep reference information current and usable).
5) What kinds of data or evidence does USGS suggest integrating to improve species distribution models?
The opportunity highlights integrating multiple lines of evidence, such as occurrence records, survey datasets, environmental predictors, and other relevant information, to generate more realistic and robust distribution estimates for freshwater organisms.
6) What does USGS mean by evaluating habitat model performance?
USGS emphasizes evaluating model accuracy, uncertainty, and sensitivity to environmental conditions. This includes clarifying how reliable model outputs are, where models may be fragile or biased, and how changing environmental variables could affect predicted habitat suitability or distribution patterns.
7) How is artificial intelligence (AI) expected to be used in this project?
AI is specifically mentioned as part of “modern synthesis approaches” to compile, update, and maintain information on species traits, conservation status, and habitat preferences. The emphasis is on improving how current reference information is kept up to date and reducing the lag between new science and the datasets resource managers rely on.
8) Is this opportunity intended for local or national-scale work?
The research is described as nationally focused. Applicants are encouraged to consider whether they can contribute methods, evaluations, and maintained datasets that extend beyond a single watershed or state.
9) What kinds of teams are a good fit for this opportunity?
The opportunity is best suited to teams with demonstrated capability in aquatic ecology, freshwater biogeography, species distribution modeling, geospatial analysis, and ecological data synthesis. Applicants are encouraged to compare their expertise to the three technical thrusts.
10) What does it mean that this is a cooperative agreement rather than a traditional grant?
A cooperative agreement implies an expectation of active collaboration with USGS staff during the project. It is not framed as a hands-off relationship; applicants should anticipate working closely with USGS throughout the effort.
11) How should applicants address Department of the Interior (DOI) priorities in their proposals?
USGS indicates the work should align with DOI science and conservation priorities, especially those supporting species management, cooperative conservation, and shared stewardship with partners, including local communities and Tribes. Applicants should be prepared to show how their research products improve ecological decision-making, strengthen data quality and transparency, and support on-the-ground management where freshwater resources are involved.
12) What DOI policy and strategy drivers are referenced in the opportunity description?
The opportunity links the work to multiple DOI drivers, including Secretarial Orders related to expanding hunting and fishing access, implementing Land and Water Conservation Fund priorities, restoring “gold standard” science practices under Executive Order 14303 and its implementation guidance, advancing DOI-wide artificial intelligence transformation, and implementing the Expanding Public Lands Outdoor Recreation Experiences Act.
13) Who is eligible to apply?
Only participating partners of the Great Lakes-Northern Forest Cooperative Ecosystem Studies Unit (CESU) network are eligible to apply.
14) What is the opportunity number and CFDA number?
The opportunity number is G27AS00079. It is listed under CFDA 15.808.
15) What is the activity category for this award?
The activity category is Science and Technology and other Research and Development.
16) How many awards does USGS expect to make?
USGS expects to make one award.
17) What is the maximum award amount (ceiling)?
The maximum (ceiling) amount is $150,000.
18) What are the key dates for this opportunity?
The opportunity was created on October 14, 2026, and the original application closing date is November 14, 2026.
19) What is the CESU program and how does it relate to this opportunity?
The CESU program is described as a mechanism designed to connect federal science needs with partner expertise through research, technical assistance, and education. This opportunity is issued under the CESU program and is limited to eligible partners within the specified CESU network.
20) What kinds of outcomes is USGS looking for from funded work?
Based on the description, USGS is looking for practical research products that strengthen the tools and science for freshwater species distribution and habitat modeling, clarify model reliability through rigorous performance evaluation, and improve the compilation and maintenance of species traits, conservation status, and habitat preference information in ways that are usable for managers and aligned with DOI priorities.
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| Cooperative Agreement for affiliated Partner with Californian Cooperative Ecosystem Studies Unit Apply for G27AS00037 Funding Number: G27AS00037 Agency: Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $35,000 |
| Cooperative Agreement for Affiliated Partner with the North Atlantic Coast Cooperative Ecosystem Studies Unit (CESU) Apply for G27AS00077 Funding Number: G27AS00077 Agency: Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $350,000 |
| Cooperative Agreement for Affiliated Partner with the Pacific Northwest Cooperative Ecosystem Studies Unit (CESU) Apply for G27AS00074 Funding Number: G27AS00074 Agency: Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $360,000 |
| Cooperative Agreement for Affiliated Partner with the Pacific Northwest Cooperative Ecosystem Studies Unit (CESU) Apply for G27AS00078 Funding Number: G27AS00078 Agency: Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $200,000 |
| Cooperative Agreement for Affiliated Partner with the Colorado Plateau Cooperative Ecosystem Studies Unit (CESU) Apply for G27AS00080 Funding Number: G27AS00080 Agency: Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $90,000 |
| Cooperative Agreement for Affiliated Partner with the Hawaiʻi-Pacific Islands Cooperative Ecosystem Studies Unit (CESU) Apply for G27AS00073 Funding Number: G27AS00073 Agency: Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $435,000 |
| Cooperative Agreement for Affiliated Partner with the Rocky Mountains Cooperative Ecosystem Studies Unit (CESU) Apply for G27AS00072 Funding Number: G27AS00072 Agency: Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $375,000 |
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