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.

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

Opportunity snapshot. This Grants.gov announcement - Models and Data for Predicting the Abundance of Moose and Elk on the Summer Range in Rocky Mountain National Park - is cataloged under number P18AS00339 and tied to CFDA assistance listing 15.945, posted by National Park Service. Grants.gov currently shows the opportunity as closed, first posted on June 18, 2018. The funding category is Discretionary, delivered as a cooperative agreement.

Award economics. The award range on file is $34,000 -- $34,000. The agency has projected $34,000 in total estimated funding for this announcement. It expects to issue 1 award. If the agency funds the expected 1 award from the $34,000 estimated pool, the average award works out to roughly $34,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity is closed. Monitoring the parent program page is the most reliable way to catch re-announcements in the next funding cycle. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.

Award Range

$34,000 -- $34,000

Close Date

Not specified

Notice of Intent to Award to Colorado State University Under Master Agreement P17AC00971 not a request for applications

Posted

June 18, 2018

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.

Eligibility

Grants.gov lists this opportunity under eligibility category code 25. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.

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

Key Dates

Posted June 18, 2018
Close Date Not specified
Archive Date June 28, 2018
Last Updated June 18, 2018

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Models and Data for Predicting the Abundance of Moose and Elk on the Summer Range in Rocky Mountain National Park", offered by National Park Service. It is associated with CFDA program 15.945. 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. Th...
Is this opportunity still open?
No, this opportunity is closed. Check the parent program page for future funding cycles.
How much funding is available?
The award range for this opportunity is $34,000 -- $34,000. Total estimated funding: $34,000. Expected number of awards: 1.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

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.

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