Closed · P18AS00339 · CFDA 15.945 · Discretionary

Models and Data for Predicting the Abundance of Moose and Elk on the Summer Range in Rocky Mountain National Park

Federal grant opportunity posted by National Park Service, cataloged on Grants.gov.

$34K-$34K
Award range
Closed
Status
-
Close date
1
Expected awards

The verdict

Models and Data for Predicting the Abundance of Moose and Elk on the Summer Range in Rocky Mountain National Park is a closed discretionary listing from National Park Service that offered $34,000 -- $34,000 across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 8,506 other opportunities from National Park Service.

$34K-$34K
award range
Closed
application status
1
expected award
15.945
CFDA program

Archived opportunity record

Models and Data for Predicting the Abundance… is closed. Check the agency catalog for replacement NOFOs. National Park Service still indexes 8,506 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

This listing is no longer accepting applications

Posted Jun 18 Closed

Est. Total Funding

$34,000

Expected Awards

1

Instrument

Cooperative Agreement

Description

This cooperative research project will provide tools and information that will assist Rocky Mountain National Park in managing elk and moose populations and the riparian habitat which they utilize. This project will: 1) build on existing elk population modeling, census and collared animals to estimate elk on the summer range 2) develop sampling procedures and data models for aerial infrared elk and moose population estimates 3) obtain location information from GPS collared moose to determine population extant, high use temporal periods within the park, determine if there is a resident vs transient population 4) Use GPS data to estimate moose survival probabilities 5) Develop GIS-based estimates of habitat carrying capacity for moose. This project will serve a public purpose by providing new knowledge on natural resources, generated by researchers external to the NPS, for the benefit of the greater scientific community. It will also engage university and faculty in shared environmental stewardship. Knowledge obtained from this research will be used to inform park programs for the public and be utilized to create science communications materials on these topics. The modeling and data analysis will support the knowledge and skill development of partners at Colorado State University.

Catch-all / unrestricted eligibility mark · P18AS00339

Grants.gov marks Models and Data for Predicting the Abundance… with a catch-all / unrestricted eligibility code (Others (see official listing text)). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Natural Resources (NR). This eligibility-code string dominates the National Park Service book (3,314 peers, 39% of 8,507).

Code 25
Others (see official listing text)

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Katie Gaertner . Katie_Gaertner@nps.gov

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What to do next

Models and Data for Predicting the Abundance… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 15.945 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • Compare award ranges across federal categories before you pick a single CFDA. All categories

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Read our methodology - how this data is sourced, computed, and verified.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants