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Simulation of the Impact of Rangeland Management Strategies on Soil Health, Environmental Footprint, Economic Impact, and Human-Edible Nutrient Conversion from Grasslands in the Central and Northern Great Plains of the United States

Author

Listed:
  • Merri E. Day

    (Department of Agricultural Economics, Kansas State University, Manhattan, KS 66506, USA)

  • Minfeng Tang

    (Beef Cattle Institute, Kansas State University, Manhattan, KS 66506, USA)

  • Phillip A. Lancaster

    (Beef Cattle Institute, Kansas State University, Manhattan, KS 66506, USA)

  • Deann Presley

    (Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA)

  • Dustin L. Pendell

    (Department of Agricultural Economics, Kansas State University, Manhattan, KS 66506, USA)

  • Walter H. Fick

    (Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA)

  • Luca Doro

    (Blackland Research and Extension Center, Texas AgriLife Research, Temple, TX 76502, USA)

  • Adam Ahlers

    (Department of Horticulture and Natural Resources, Kansas State University, Manhattan, KS 66506, USA)

  • Andrew Ricketts

    (Department of Horticulture and Natural Resources, Kansas State University, Manhattan, KS 66506, USA)

Abstract

The objective of this study was to determine the impact of combinations of management practices on the sustainability of rangelands in different ecoregions across the Great Plains. Six study sites were selected in Kansas, Nebraska, Wyoming, Montana, and South Dakota, encompassing the Flint Hills, High Plains, and Sandhills ecoregions. Twelve rangeland management scenarios were developed from combinations of stocking density (light, moderate, heavy), grazing management (continuous, rotational), and fire regime (no burn, spring burn) along with a no-management scenario. Each scenario was simulated at each site using established computer models: Agricultural Policy/Environmental eXtender model, Integrated Farm System Model, and Impact Analysis for Planning. Additionally, human-edible nutrient conversion was computed. A sustainability index was developed to encompass the three sustainability pillars (i.e., environmental, economic, and social) into a single value. Unmanaged rangelands generally had less soil (20%), nitrogen (30%), and phosphorus (50%) losses, although this was not consistent across ecoregions, and similar or greater soil carbon deposition than grazed rangelands. There was an interaction among stocking density, grazing management, fire regime, and ecoregion for many indicators of soil health, greenhouse gas emissions, economic activity, and human-edible nutrient conversion. The scenarios with the greatest overall sustainability index value had moderate to high index values for each of the three pillars (people, planet, profit). In conclusion, the ranking of rangeland management practices based on sustainability indicators was inconsistent across ecoregions, indicating that the optimal management system to improve sustainability of rangelands is not the same for all ecoregions.

Suggested Citation

  • Merri E. Day & Minfeng Tang & Phillip A. Lancaster & Deann Presley & Dustin L. Pendell & Walter H. Fick & Luca Doro & Adam Ahlers & Andrew Ricketts, 2023. "Simulation of the Impact of Rangeland Management Strategies on Soil Health, Environmental Footprint, Economic Impact, and Human-Edible Nutrient Conversion from Grasslands in the Central and Northern G," Sustainability, MDPI, vol. 15(16), pages 1-43, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12456-:d:1218433
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    References listed on IDEAS

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    1. Cheng, G. & Harmel, R.D. & Ma, L. & Derner, J.D. & Augustine, D.J. & Bartling, P.N.S. & Fang, Q.X. & Williams, J.R. & Zilverberg, C.J. & Boone, R.B. & Hoover, D. & Yu, Q., 2021. "Evaluation of APEX modifications to simulate forage production for grazing management decision-support in the Western US Great Plains," Agricultural Systems, Elsevier, vol. 191(C).
    2. Gillespie, Jeffrey M. & Wyatt, Wayne & Venuto, Brad & Blouin, David & Boucher, Robert W., 2008. "The Roles of Labor and Profitability in Choosing a Grazing Strategy for Beef Production in the U.S. Gulf Coast Region," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-13, April.
    3. Zilverberg, Cody J. & Angerer, Jay & Williams, Jimmy & Metz, Loretta J. & Harmoney, Keith, 2018. "Sensitivity of diet choices and environmental outcomes to a selective grazing algorithm," Ecological Modelling, Elsevier, vol. 390(C), pages 10-22.
    4. Beauchemin, Karen A. & Henry Janzen, H. & Little, Shannan M. & McAllister, Tim A. & McGinn, Sean M., 2010. "Life cycle assessment of greenhouse gas emissions from beef production in western Canada: A case study," Agricultural Systems, Elsevier, vol. 103(6), pages 371-379, July.
    5. Wang, Tong & Richard Teague, W. & Park, Seong C. & Bevers, Stan, 2018. "Evaluating long-term economic and ecological consequences of continuous and multi-paddock grazing - a modeling approach," Agricultural Systems, Elsevier, vol. 165(C), pages 197-207.
    6. repec:cup:jagaec:v:40:y:2008:i:1:p:301-313_16 is not listed on IDEAS
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