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Vulnerability of grazing and confined livestock in the Northern Great Plains to projected mid- and late-twenty-first century climate

Author

Listed:
  • Justin Derner

    (USDA-ARS)

  • David Briske

    (Texas A&M University)

  • Matt Reeves

    (USDA-FS)

  • Tami Brown-Brandl

    (USDA-ARS)

  • Miranda Meehan

    (North Dakota State University)

  • Dana Blumenthal

    (USDA-ARS)

  • William Travis

    (University of Colorado Boulder)

  • David Augustine

    (USDA-ARS)

  • Hailey Wilmer

    (USDA-ARS)

  • Derek Scasta

    (University of Wyoming)

  • John Hendrickson

    (USDA-ARS)

  • Jerry Volesky

    (University of Nebraska-Lincoln)

  • Laura Edwards

    (South Dakota State University)

  • Dannele Peck

    (USDA-ARS)

Abstract

The Northern Great Plains (NGP) region of the USA—which comprises Montana, Wyoming, Colorado, North Dakota, South Dakota, and Nebraska—is a largely rural area that provides numerous ecosystem services, including livestock products, cultural services, and conservation of biological diversity. The region contains 25% of the Nation’s beef cattle and approximately one-third of the confined beef cattle, as well as the largest remaining native prairie in the US—the Northern Mixedgrass Prairie. With rising atmospheric CO2, the NGP is projected to experience warmer and longer growing seasons, greater climatic variability, and more extreme events (e.g., increased occurrence of large precipitation events). These climatic changes may affect livestock production both directly via physiological impacts on animals and indirectly via modifications to forage, invasion of undesirable plants, and increased exposure to parasites. This raises concerns about the vulnerability of grazing livestock operations and confined livestock operations to projected changes in mid- (2050) and late- (2085) twenty-first century climate. Our objectives are to (1) describe the NGP’s exposure to temperature and precipitation trends, inter-annual variability, and extreme events; (2) evaluate the sensitivity of beef cattle production to direct and indirect effects imposed by these projected climatic changes; and (3) provide a typology of adaptation strategies to minimize adverse consequences of projected changes and maximize beneficial consequences. Agricultural managers have developed considerable adaptive capacity to contend with environmental and economic variability. However, projected climatic changes, especially the increased frequency and magnitude of weather extremes, will require even greater adaptive capacity to maintain viable production systems. Consequently, regional vulnerability to projected climatic changes will be determined not only by ecological responses but also by the adaptive capacity of individual managers. Adaptive capacity in the NGP will differ from other regions, in part because projections suggest some opportunities for increased livestock production. Adaptations in both grazing and confined beef cattle systems will require enhanced decision-making skills capable of integrating biophysical, social, and economic considerations. Social learning networks that support integration of experimental and experiential knowledge—such as lessons learned from early adopters and involvement with science-based organizations—can help enhance decision-making and climate adaptation planning. Many adaptations have already been implemented by a subset of producers in this region, providing opportunities for assessment, further development, and greater adoption. Context-specific decision-making can also be enhanced through science-management partnerships, which aim to build adaptive capacity that recognizes multiple production and conservation/environmental goals.

Suggested Citation

  • Justin Derner & David Briske & Matt Reeves & Tami Brown-Brandl & Miranda Meehan & Dana Blumenthal & William Travis & David Augustine & Hailey Wilmer & Derek Scasta & John Hendrickson & Jerry Volesky &, 2018. "Vulnerability of grazing and confined livestock in the Northern Great Plains to projected mid- and late-twenty-first century climate," Climatic Change, Springer, vol. 146(1), pages 19-32, January.
  • Handle: RePEc:spr:climat:v:146:y:2018:i:1:d:10.1007_s10584-017-2029-6
    DOI: 10.1007/s10584-017-2029-6
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    References listed on IDEAS

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    1. Melissa Reyes-Fox & Heidi Steltzer & M. J. Trlica & Gregory S. McMaster & Allan A. Andales & Dan R. LeCain & Jack A. Morgan, 2014. "Elevated CO2 further lengthens growing season under warming conditions," Nature, Nature, vol. 510(7504), pages 259-262, June.
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    4. John P. Ritten & W. Marshall Frasier & Christopher T. Bastian & Stephen T. Gray, 2010. "Optimal Rangeland Stocking Decisions Under Stochastic and Climate-Impacted Weather," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1242-1255.
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    Cited by:

    1. Hailey Wilmer & María E. Fernández-Giménez & Shayan Ghajar & Peter Leigh Taylor & Caridad Souza & Justin D. Derner, 2020. "Managing for the middle: rancher care ethics under uncertainty on Western Great Plains rangelands," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(3), pages 699-718, September.
    2. Mhlangabezi Slayi & Leocadia Zhou & Ishmael Festus Jaja, 2023. "Constraints Inhibiting Farmers’ Adoption of Cattle Feedlots as a Climate-Smart Practice in Rural Communities of the Eastern Cape, South Africa: An In-Depth Examination," Sustainability, MDPI, vol. 15(20), pages 1-30, October.
    3. Hailey Wilmer & Lauren M. Porensky & María E. Fernández-Giménez & Justin D. Derner & David J. Augustine & John P. Ritten & Dannele P. Peck, 2019. "Community-Engaged Research Builds a Nature-Culture of Hope on North American Great Plains Rangelands," Social Sciences, MDPI, vol. 8(1), pages 1-26, January.
    4. Srinivasagan N. Subhashree & C. Igathinathane & Adnan Akyuz & Md. Borhan & John Hendrickson & David Archer & Mark Liebig & David Toledo & Kevin Sedivec & Scott Kronberg & Jonathan Halvorson, 2023. "Tools for Predicting Forage Growth in Rangelands and Economic Analyses—A Systematic Review," Agriculture, MDPI, vol. 13(2), pages 1-30, February.

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