Submission Deadline 12/31/2026
Fiscal Capacity $300,000
DOI-FWS Grant — Key Facts
Opportunity Number F26AS00084
Agency DOI-FWS
Application Deadline 12/31/2026
Award Amount $300,000
Status Posted
Sector Default
Award Floor $20,000
Cost Sharing Not Required

Fiscal Parameters & Taxonomy

Authority DOI-FWS
Status Posted

Who Can Apply

Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility" Others (see text field entitled "Additional Information on Eligibility" for clarification)

Eligibility Intelligence

We are seeking applications from tribal natural resource agencies/organizations in the Great Lakes Basin. However, a tribal agency may designate an entity (of any type) to apply for the award on their behalf.

Program Description

Using appropriations to the Great Lakes Restoration Initiative (GLRI), the U.S. Fish and Wildlife Service (FWS) anticipates providing grants to support development and/or implementation of Great Lakes Tribal Aquatic Invasive Species Management Plans (Tribal AIS Plans). Therefore, a Tribal AIS Plan must be in place that supports the proposed work, or development of such a plan must be a part of the proposed work. All tribal grants will be awarded based on a competitive process for which only Great Lakes tribes or their designee are eligible.

CFDA Programs

15.662 Great Lakes Restoration

Agency Contact

Nathan Evans nathan_evans@fws.gov

✉ nathan_evans@fws.gov

📞 22041-3803

Related Intelligence Guides

In-depth editorial guides covering this agency's programs, eligibility requirements, and application strategies.

GrantMetric Intelligence Systems — Independent federal grant intelligence platform. Not affiliated with Grants.gov, the U.S. Department of Health & Human Services, or any government agency. Grant data is sourced from the Grants.gov API for informational purposes only; always verify opportunity details directly with the funding agency before applying. Some links on this site are affiliate links — we may earn a commission at no additional cost to you. Full Disclaimer  ·  Last Reviewed: May 2026  ·  Data Methodology