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ClosedOpportunity G22AS00431

Cooperative Agreement for CESU-affiliated Partner with Gulf Coast Cooperative Ecosystem Studies Unit

Geological Survey · Department of the Interior

At a glance

Cooperative Agreement for CESU-affiliated Partner with Gulf Coast Cooperative Ecosystem Studies Unit is a closed federal cooperative agreement opportunity from the Geological Survey (Department of the Interior). The application deadline was September 16, 2022. Individual awards are listed as up to $455K. 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
Aug 16, 2022
Close date
Sep 16, 2022
Award floor
Not specified
Award ceiling
$455,000
Est. total funding
Not specified
Expected awards
Not specified
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 Unit (CESU) Program. CESU’s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Gulf Coast Cooperative Ecosystem Studies Unit (CESU) Program.

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 Wetland and Aquatic Research Center (WARC) of the U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner in plant ecology and restoration ecology. Specifically, there is a need for research that provides information to mitigate the direct and indirect impacts of border wall construction on threatened and endangered plants within the Rio Grande Valley of South Texas. This project will provide information that can be used to mitigate current and future impacts to threatened and endangered plants in this region by working with recovery teams. Potential focal areas include: (1) the identification and evaluation of pollinators for threatened and endangered plant species; and (2) the development of propagation facilities and approaches to supplement threatened and endangered plant populations within established plant communities or establish new plant communities on suitable protected lands. This opportunity will provide an avenue for assisting the USGS WARC and conservation partners in efforts to mitigate the direct and indirect impacts of border wall construction on threatened and endangered plants within the Rio Grande Valley of South Texas.

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
fgraves@usgs.gov
703-648-7376

Places named in the notice

Texas

Derived from the notice text. A place being named does not by itself restrict eligibility.

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 up to $455k.

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 G22AS00431), 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.