Cooperative Agreement for affiliated Partner with the Rocky Mountain Cooperative Ecosystem Studies Unit
Geological Survey · Other Federal · G27AS00039
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- $1 – $495K
- DeadlineFinal application due date.
- Dec 2, 2026
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
- —
- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
- —
- DurationMaximum project period for a single award.
- —
- Expected awardsHow many awards the funder anticipates making under this opportunity.
- 1
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- Unknown
- Open dateWhen applications open (or opened).
- Nov 2, 2026
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- $495K total
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Unspecified
Description
U.S. Geological Survey is offering a funding opportunity to a CESU partner for research to advance co-produced science aimed at improving decision support capabilities for natural resource managers across western rangelands and alpine ecosystems. The research conducted on this project will builds upon long standing collaborations between USGS and university partners, which have demonstrated the value of jointly designed studies and shared analytical approaches. The overarching goal of this work is to enhance the understanding of how habitat conditions, ecological processes, and wildlife, interact across broad and changing landscapes, and to translate this understanding into tools that support management decisions. This project will develop analytical frameworks and spatial tools that help natural resource managers identify, prioritize, and respond to conservation and management challenges across extensive landscapes. As land managers confront changing vegetation patterns, shifting disturbance regimes, disease pressures, and competing land use demands, there is a critical need for science that is developed jointly with practitioners, ensuring that data products, models, and evaluations are directly usable in operational planning. The emphasis of this opportunity is on tools that synthesize ecological data, management objectives, and partner input to generate transparent decision support products that can be adapted to diverse management contexts.