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Cited by 94Pasture and Agricultural SystemsRangeland Management and Livestock EcologyRangeland and Wildlife Management

Climate change mitigation as a co-benefit of regenerative ranching: insights from Australia and the United States

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Gosnell, Hannah, Charnley, Susan, Stanley, Paige·2020·Interface Focus
DOI 10.1098/rsfs.2020.0027PMC PMC7435039
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Abstract

‘Managed grazing’ is gaining attention for its potential to contribute to climate change mitigation by reducing bare ground and promoting perennialization, thereby enhancing soil carbon sequestration (SCS). Understanding why ranchers adopt managed grazing is key to developing the right incentives. In this paper, we explore principles and practices associated with the larger enterprise of ‘regenerative ranching’ (RR), which includes managed grazing but infuses the practice with holistic decision-making. We argue that this broader approach is appealing due to a suite of ecological, economic and social benefits, making climate change mitigation an afterthought, or ‘co-benefit’. RR is challenging, however, because it requires a deep understanding of ecological processes along with a set of skills related to monitoring and moving livestock and feeding the soil microbiome. We review the literature regarding links between RR and SCS, then present results of qualitative research focused on motivators, enablers and constraints associated with RR, drawing on interviews with 52 practitioners in New South Wales, Australia and the western United States. Our analysis is guided by a conceptual model of the social–ecological system associated with RR that identifies determinants of regenerative potential. We discuss implications for rancher engagement and conclude with a consideration of leverage points for global scalability.

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  • Currently, underdeveloped PES and carbon markets present major challenges to the adoption of regenerative agricultural practices in the United States.

    “Currently, underdeveloped PES and carbon markets present major challenges to the adoption of regenerative agricultural practices in the United States.”

    From Ecosystem Impacts and Productive Capacity of a Multi-Species Pastured Livestock System (2020) · cites this paper as Gosnell et al., 2020

    The Introduction says there are few explicit financial incentives for mitigation-focused grazing and challenges associated with participating in carbon markets. But the paper does not identify underdeveloped PES and carbon markets as major barriers to US adoption; its Conclusion emphasizes the steep learning curve and changes in thinking as adoption challenges. (LLM, conf=0.86)

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Authors
Gosnell, H., Charnley, S., & Stanley, P.
Affiliations
  • Oregon State University (US)
  • Pacific Northwest Research Station (US)
  • University of California, Berkeley (US)
Corresponding author
Gosnell, Hannah
ORCID
Venue
Interface Focus
Publisher
The Royal Society
Published
2020-08-14
Volume
10
Issue
5
Pages
20200027-20200027
ISSN
  • 2042-8898 (ISSN-L)
  • 2042-8901
DOI
10.1098/rsfs.2020.0027
PMC
PMC7435039
OpenAlex
W3049021363
Cited by
94
References
108
Citations by year
2026: 16 · 2025: 10 · 2024: 18 · 2023: 16 · 2022: 15 · 2021: 14 · 2020: 5
FWCI
18.19
Type
journal article
Language
en
Open access
Licence
Locations
  • Interface Focus (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • U.S. Department of Agriculture Northwest Climate Hub
  • Pacific Northwest Research Station, U.S. Forest Service
Topics
  • Life Sciences › Agricultural and Biological Sciences › Forestry › Pasture and Agricultural Systems
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Rangeland Management and Livestock Ecology
  • Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
Keywords
grazing management, climate change mitigation, soil carbon sequestration, co-benefits, social-ecological systems, leverage points, scalability, soil microbiome, perennialization

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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