Collaborative Adaptive Management in the Greater Yellowstone Ecosystem: A Rangeland Living Laboratory at the US Sheep Experiment Station
Wilmer, Hailey; Spiess, Jonathan; Clark, Patrick E.; Anderson, Michelle; Burns, Amira; Crootof, Arica; Fanok, Lily; Hruska, Tracy; Mincher, Bruce J.; Miller, Ryan S.; Munger, William; Posbergh, Christian J.; Wilson, Carrie S.; Winford, Eric; Windh, Jessica; Strong, Nicole; Eve, Marlen; Taylor, J. Bret (2025-03-31)
Wilmer, Hailey
Spiess, Jonathan
Clark, Patrick E.
Anderson, Michelle
Burns, Amira
Crootof, Arica
Fanok, Lily
Hruska, Tracy
Mincher, Bruce J.
Miller, Ryan S.
Munger, William
Posbergh, Christian J.
Wilson, Carrie S.
Winford, Eric
Windh, Jessica
Strong, Nicole
Eve, Marlen
Taylor, J. Bret
MDPI
31.03.2025
Wilmer, H., Spiess, J., Clark, P. E., Anderson, M., Burns, A., Crootof, A., Fanok, L., Hruska, T., Mincher, B. J., Miller, R. S., Munger, W., Posbergh, C. J., Wilson, C. S., Winford, E., Windh, J., Strong, N., Eve, M., & Taylor, J. B. (2025). Collaborative Adaptive Management in the Greater Yellowstone Ecosystem: A Rangeland Living Laboratory at the US Sheep Experiment Station. Sustainability, 17(7), 3086. https://doi.org/10.3390/su17073086.
https://creativecommons.org/licenses/by/4.0/
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202504172771
https://urn.fi/URN:NBN:fi:oulu-202504172771
Tiivistelmä
Abstract
Social conflict over rangeland-use priorities, especially near protected areas, has long pitted environmental and biodiversity conservation interests against livestock livelihoods. Social–ecological conflict limits management adaptation and creativity while reinforcing social and disciplinary divisions. It can also reduce rancher access to land and negatively affect wildlife conservation. Communities increasingly expect research organizations to address complex social dynamics to improve opportunities for multiple ecosystem service delivery on rangelands. In the Greater Yellowstone Ecosystem (GYE), an area of the western US, long-standing disagreements among actors who argue for the use of the land for livestock and those who prioritize wildlife are limiting conservation and ranching livelihoods. Researchers at the USDA-ARS US Sheep Experiment Station (USSES) along with University and societal partners are responding to these challenges using a collaborative adaptive management (CAM) methodology. The USSES Rangeland Collaboratory is a living laboratory project leveraging the resources of a federal range sheep research ranch operating across sagebrush steppe ecosystems in Clark County, Idaho, and montane/subalpine landscapes in Beaverhead County, Montana. The project places stakeholders, including ranchers, conservation groups, and government land managers, in the decision-making seat for a participatory case study. This involves adaptive management planning related to grazing and livestock–wildlife management decisions for two ranch-scale rangeland management scenarios, one modeled after a traditional range sheep operation and the second, a more intensified operation with no use of summer ranges. We discuss the extent to which the CAM approach creates opportunities for multi-directional learning among participants and evaluate trade-offs among preferred management systems through participatory ranch-scale grazing research. In a complex system where the needs and goals of various actors are misaligned across spatiotemporal, disciplinary, and social–ecological scales, CAM creates a structure and methods to focus on social learning and land management knowledge creation.
Social conflict over rangeland-use priorities, especially near protected areas, has long pitted environmental and biodiversity conservation interests against livestock livelihoods. Social–ecological conflict limits management adaptation and creativity while reinforcing social and disciplinary divisions. It can also reduce rancher access to land and negatively affect wildlife conservation. Communities increasingly expect research organizations to address complex social dynamics to improve opportunities for multiple ecosystem service delivery on rangelands. In the Greater Yellowstone Ecosystem (GYE), an area of the western US, long-standing disagreements among actors who argue for the use of the land for livestock and those who prioritize wildlife are limiting conservation and ranching livelihoods. Researchers at the USDA-ARS US Sheep Experiment Station (USSES) along with University and societal partners are responding to these challenges using a collaborative adaptive management (CAM) methodology. The USSES Rangeland Collaboratory is a living laboratory project leveraging the resources of a federal range sheep research ranch operating across sagebrush steppe ecosystems in Clark County, Idaho, and montane/subalpine landscapes in Beaverhead County, Montana. The project places stakeholders, including ranchers, conservation groups, and government land managers, in the decision-making seat for a participatory case study. This involves adaptive management planning related to grazing and livestock–wildlife management decisions for two ranch-scale rangeland management scenarios, one modeled after a traditional range sheep operation and the second, a more intensified operation with no use of summer ranges. We discuss the extent to which the CAM approach creates opportunities for multi-directional learning among participants and evaluate trade-offs among preferred management systems through participatory ranch-scale grazing research. In a complex system where the needs and goals of various actors are misaligned across spatiotemporal, disciplinary, and social–ecological scales, CAM creates a structure and methods to focus on social learning and land management knowledge creation.
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