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

The U.S. Geological Survey (USGS) is offering a cooperative agreement opportunity through the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU). This initiative seeks to fund research on the spatial dynamics and resource partitioning among cattle, wildlife, and wild horses in Utah, USA. As part of the CESU framework, this partnership emphasizes collaborative research, technical assistance, and education to support the Department of the Interior’s mission and management of federal lands. The funder brings extensive experience in scientific research and natural resource management, with a particular focus on ecosystems where multiple land uses intersect. The purpose of this project is to better understand how livestock, wildlife, and free-roaming horses interact in fragile, arid environments of the western United States. These areas are managed under a multiple-use paradigm and contain important habitat for native ungulate species, as well as statutory livestock production and grazing. Concerns have grown over competition for resources, as wild horse populations increase due to high fertility and survival rates. This study addresses data needs related to habitat management, rural economies, and sustaining traditions such as hunting while balancing federal obligations for conservation. The project objectives are threefold: first, to model seasonal resource selection by free-roaming horses, mule deer, pronghorn, cattle, and domestic sheep both before and after horse gathers; second, to model the role of surface water and high-quality forage in shaping movements, home ranges, and resource use; and third, to measure seasonal home range size and configuration for each of the species. Data will be collected through GPS telemetry collars and integrated into analytical models, enabling insights into interspecies interactions. Results will be relevant not only for Utah but also for broader ecosystems across the Rocky Mountains and Great Plains. The award will be made as a cooperative agreement with one anticipated recipient for a one-year period. The total estimated funding is $49,585, with funds fully obligated at the time of award. Only partners in the Rocky Mountain CESU program are eligible to apply. Funds must be used in line with the approved budget, covering personnel, fringe benefits, supplies, equipment, travel, contractual services, and other direct costs, all in compliance with USGS and federal grant policies. The CESU indirect cost rate of 17.5 percent applies. Matching funds are not required for this opportunity. Applications must be submitted through Grants.gov using the funding opportunity number G25AS00343. The proposal package should include a technical narrative, budget narrative, data management plan, biographical sketches of key personnel, and disclosures of current and pending support. Applicants must adhere to USGS standards for data dissemination, reporting, and scientific integrity. Proposals will be evaluated by USGS personnel using a 100-point scale based on purpose and relevance, technical approach, budget justification, and qualifications of the applicant team. The closing date for submission is provided through Grants.gov, and the project is expected to begin after award notification. Progress reports will be required annually, with a final technical report and financial report due 120 days after the end of the award period. Award recipients must also comply with geospatial data requirements, reporting standards, and publication guidelines. Technical questions may be directed to Dr. Kate Schoenecker at schoeneckerk@usgs.gov or Dr. Steve Hanser at shanser@usgs.gov. Administrative questions should be sent to Katie Calder, Grant Specialist, at kcalder@usgs.gov, phone 970-226-9329. This opportunity is designed to generate actionable research for land managers, ensuring protection of natural resources while supporting rural economies and wildlife conservation:contentReference[oaicite:0]{index=0}.