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

Closed Posted

Opportunity number
G26AS00135
Agency
Applications due
Award size
Up to $48,941

Opportunity facts

Funding instrument
Cooperative Agreement
Category
  • Science and Technology and other Research and Development
Eligible applicants
  • Other
Points of contact

Opportunity details come from Grants.gov. Updated .

About this opportunity

The U.S. Geological Survey is soliciting applications from Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) partners for a cooperative agreement funding research on bison ecology in the Western USA, with applications due July 5, 2026. The program anticipates one award of $48,941 for a 5-month period of performance, with funds fully obligated at time of award.

Eligible applicants must be participating partners of the Rocky Mountain CESU Program. No cost share is required.

The research will employ data-driven modeling, field-based data collection, and analytical modeling of accelerometer data from GPS collars on free-ranging bison across three National Park units spanning the Rocky Mountain region and Great Plains ecosystems, including Great Sand Dunes. Work is designed to determine fine-scale foraging behavior, identify foraging concentration areas, and conduct resource monitoring to assess impacts to park ecosystems. The collaborative effort between USGS and University scientists aims to fill critical data gaps, increase understanding of bison ecology and resource selection, and provide information to public land managers for improved bison and habitat management. All work aligns with Executive Order 14303 (Restoring Gold Standard Science).

Proposals are evaluated on Purpose, Objectives, and Relevance (30 points), Technical Approach (25 points), Budget Justification and Clarity (25 points), and Qualifications and Experience (20 points).

Applications must include a technical narrative covering research problem, objectives, procedures, planned products and dissemination strategy, project schedule with milestones, and references; a detailed budget narrative organized by Object Class Categories on SF-424A; a Data Management Plan; biographical sketches and current-and-pending-support disclosures from all senior/key persons; and a one-page Project Abstract Summary.

This opportunity is funded under CFDA 15.808 (U.S. Geological Survey Research and Data Collection). Submit applications through Grants.gov. Direct technical inquiries to Dr. Kate Schoenecker at schoeneckerk@usgs.gov and application questions to Rachel Miller at Rachel_miller@ios.doi.gov.

Synopsis

The USGS is offering a funding opportunity to a CESU partner for research on the ecology of bison in the Western USA, which is aligned with EO 14303 - Restoring Gold Standard Science (May 23, 2025) Studies will be comprised of data-driven modeling, field-based data collection, and a combination of both field based and analytical modeling of accelerometer data from GPS collars on bison across 3 National Park units, and of field data collection to ensure no damage is occurring to park resources.The aim is to fill data gaps with collaborative research conducted jointly by USGS and University partners, capitalizing on the unique skillset and talents provided by modelers and data analysts who have experience modeling with extreme large datasets, such as accelerometer data, as well as conduct research to assure that bison in the Great Sand Dunes (GRSA) ecosystem are not causing damage to park resources.This funding opportunity is to conduct research on resource selection and ecology of free-ranging bison across the western USA. Specific research will conduct modeling of data collected over 2 years in 3 wild bison populations, that span the Rocky Mountain region and Great Plains ecosystems.The goal of this research is to increase understanding of bison ecology, and to relate this information to public land managers to protect natural resource assets that belong to the American people, to improve management of bison on the landscape, and to improve management of habitat. Scientific analysis will be performed by a tight collaboration of USGS and University scientists.

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