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ClosedOpportunity G26AS00122

Cooperative Agreement for affiliated Partner with the Rocky Mountain Cooperative Ecosystem Studies Unit

Geological Survey · Department of the Interior

At a glance

Cooperative Agreement for affiliated Partner with the Rocky Mountain Cooperative Ecosystem Studies Unit is a closed federal cooperative agreement opportunity from the Geological Survey (Department of the Interior). The application deadline was June 29, 2026. Individual awards are listed as $1 – $49.3K, with about 1 award expected and $49.3K in total estimated funding. Applicant types listed as eligible include others (see notice). Cost sharing is not required. It is funded under Assistance Listing 15.808 (U.S. Geological Survey Research and Data Collection).

Summary assembled from the official notice's fields. The official notice governs.

Key facts

Posted
May 29, 2026
Close date
Jun 29, 2026
Award floor
$1
Award ceiling
$49,250
Est. total funding
$49,250
Expected awards
1
Cost sharing
Not required
Funding instrument
Cooperative Agreement
Opportunity category
Discretionary

Who can apply

  • Others (see notice)

Additional information on eligibility (from the notice)

This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Units (CESU) Program. CESU"s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Rocky Mountain Cooperative Ecosystem Studies Unit.

Based on the published notice. Review the official notice for complete eligibility requirements.

What it funds

Official synopsis as published by the agency, formatted for readability.

The USGS is offering a funding opportunity to a CESU partner for research in the following area: detecting plant species habitat to inform management. The research will be used to investigate phenology informed detection models, model transferability across broad regions, analyze spatial patterns of model uncertainty, and optimize the development and delivery of model results to practitioners charged with the management of species. Being able to detect invasive species and habitats helps to prevent the spread of, eradicate or control invasive species by helping practitioners know what species are problematic where. Thus, the research help make land management agencies work more efficient.Many longstanding challenges remain regarding detection of plant species across broad geographic extents related to transferability, uncertainty, and interpretation. For example, multiple methods have been used at local scales to detect plant species. Leveraging satellite data at fine resolutions may allow us to improve accuracy across geographic scales. We can better understand the limits of model prediction and build model credibility among practitioners using models to augment management actions and policies. These approaches must be viewed as accurate by practitioners at a local scale for uptake and be based on the best available science (EO 14303 - Restoring Gold Standard Science, May 23, 2025). An important focus is detection of fire promoting invasive species to inform risk and mitigation activities (EO 14308 - Empowering Commonsense Wildfire Prevention and Response, June 12, 2025).The U.S. Geological Survey"s (USGS) Fort Collins Science Center is offering a cooperative-agreement opportunity to universities having capability to conduct research to conduct studies related to improving the methodologies and analytic approaches for plant species habitat detection using satellite information. This project will function to leverage collaborations to incorporate expertise in plant ecology, statistical programming, and remote sensing into a large existing project on the geographic distribution of manager requested plant species habitat in the United States.Current USGS research interests include (but are not limited to) (1) the improvement of existing code related to data production pipelines and decision support frameworks/tools, (2) assessing geographic model transferability using field data across geographic regions, (3) synthesizing spatial predictors. The outcome of a successful agreement will be research products (data and code) that help DOI and other land-management partners produce and understand the current geographic distribution of plants and the limits of model predictions. Through this CESU agreement, the federal and state university partners will cooperate fully in development of a research program that will produce final products to be used in support of plant species management decisions. The cooperation of the USGS and its CESU partner brings a combination of expertise to address this objective that is greater than that possessed by either partner on its own.

Assistance Listing

What is an ALN?

Reported obligations under ALN 15.808

Historical data · not a prediction
FY24$125M
FY25$54.7M
FY26$60M est.
Source: SAM.gov Assistance Listing 15.808. Program-wide totals, not awards from this specific opportunity.

Agency contact (as published)

Geological Survey
rachel_miller@ios.doi.gov
916-278-9331

Quick answers

Who is eligible to apply for this opportunity?

The official notice lists these applicant types as eligible: Others (see notice). Additional restrictions may apply; review the full notice.

How much funding is available through this opportunity?

Per the notice, individual awards are listed as $1 – $49.3k, total estimated program funding is $49,250 and the agency expects to make about 1 awards.

How do I apply for this opportunity?

Applications are submitted through the official source, not through GrantsJunction. Open the official notice on Grants.gov (opportunity G26AS00122), and review the full announcement and application package. Organizations applying through Grants.gov generally need an active SAM.gov registration and a Grants.gov account, which can take several weeks to set up.

Matched on shared Assistance Listings, agency, categories and eligible applicant types.