Opportunity Details

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Closing soonCooperative AgreementTrackPartner

Cooperative Agreement for Affiliated Partner with the Great Lakes-Northern Forest Cooperative Ecosystem Studies Unit (CESU)

Geological Survey·Government

The USGS is funding research to develop, evaluate, and synthesize national-scale biogeographic information for fish and other aquatic organisms in the United States. The work is aimed at improving species distribution models, assessing habitat model accuracy and uncertainty, and using modern synthesis tools including artificial intelligence to maintain up-to-date ecological information. It is intended for CESU partner applicants with expertise in aquatic ecology, geospatial analysis, and ecological data synthesis, with the goal of supporting informed conservation decisions.

Go / No-Go Memo

This opportunity looks relevant, but the strongest path is likely through a partner or consortium.

Partner

This is a U.S.-focused ecological research cooperative agreement for CESU partners, with no clear humanitarian or health implementation pathway for IFRC or National Societies. Eligibility is restricted and source information does not indicate a realistic Movement role, so relevance is very low.

Strategic fit

strong

Academic is the strongest profile match at 85/100; relevance is 5/100.

Eligibility risk

moderate

Eligible applicant types include Others (see text field entitled "Additional Information on Eligibility" for clarification).

Deadline feasibility

moderate

The call closes in 4 days, so proposal capacity is the main constraint.

Funding attractiveness

risk

The tracked ceiling is $150K across 1 award.

Partnership need

moderate

This may be stronger with a Academic lead or co-applicant based on fit scores.

Recommended next action

Ignore

The U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner for research in the development, evaluation, and synthesis of national-scale biogeographic information for fish and other aquatic organisms. This project supports research that improves how species distributions, habitat conditions, and conservation needs are mapped and analyzed across the United States. The project focuses on three technical areas: (1) advancing statistical and analytical methods that integrate multiple lines of evidence to improve species distribution models for freshwater organisms; (2) evaluating the accuracy, uncertainty, and environmental sensitivity of habitat models; and (3) using modern synthesis tools, including artificial intelligence, to assemble and maintain up-to-date information on species traits, conservation status, and habitat preferences. These activities will help resource managers make informed decisions about conserving aquatic species and freshwater ecosystems. The USGS intends to provide support for work that directly aligns with Department of the Interior (DOI) scientific and conservation priorities, including the development and application of actionable science for species management and cooperative conservation with local communities and Tribes. This opportunity supports DOI strategic objectives related to conserving land and water resources, improving ecological data and analysis, and strengthening shared stewardship across agencies and partners. The proposal objectives clearly supports, informs, and benefits the following: SO 3447

  • Expanding Hunting and Fishing Access, Removing Unnecessary Barriers, and Ensuring Consistency Across the Depart of the Interior Lands and Waters (January 7, 2026) SO 3442
  • Land and Water Conservation Fund Implementation by the U.S. Department of the Interior September 4, 2025), EO 14303 – Restoring Gold Standard Science (May 23, 2025) SO 3441 –Implementing the Requirements of Executive Order 14303, Restoring Gold Standard Science, May 23, 2025 (August 29, 2025) SO 3444
  • Leading Interior's Path to Artificial Intelligence Transformation (September 17, 2025), and SO 3435
  • Implementation of the Expanding Public Lands Outdoor Recreation Experiences Act June 25, 2025). This funding opportunity is appropriate for applicants with expertise in aquatic ecology, species distribution modeling, geospatial analysis, and ecological data synthesis. Prospective applicants should review the focus areas above to determine alignment of their capabilities with project needs and assess their interest in contributing to collaborative, nationally relevant biogeographic science.
OtherResearchG27AS00079Grants.gov

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