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Plant parameterization and APEXgraze model calibration and validation for US land resource region H grazing lands

Author

Listed:
  • Meki, Manyowa N.
  • Osorio-Leyton, Javier
  • Steglich, Evelyn M.
  • Kiniry, Jim R.
  • Propato, Marco
  • Winchell, Mike
  • Rathjens, Hendrik
  • Angerer, Jay P.
  • Norfleet, Lee M.

Abstract

Grazing lands account for 66.7% of all agricultural land in the United States. Soil erosion, water quality and conservation have been identified as primary resource concerns on grazing lands. Biophysical models driven by daily climatic variables enable assessment of natural resource management options over time and across large landscapes, especially where on-the-ground assessments are not feasible.

Suggested Citation

  • Meki, Manyowa N. & Osorio-Leyton, Javier & Steglich, Evelyn M. & Kiniry, Jim R. & Propato, Marco & Winchell, Mike & Rathjens, Hendrik & Angerer, Jay P. & Norfleet, Lee M., 2023. "Plant parameterization and APEXgraze model calibration and validation for US land resource region H grazing lands," Agricultural Systems, Elsevier, vol. 207(C).
    • Handle: RePEc:eee:agisys:v:207:y:2023:i:c:s0308521x23000367
    DOI: 10.1016/j.agsy.2023.103631
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    References listed on IDEAS

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    4. Liming Lai & Sandeep Kumar, 2020. "A global meta-analysis of livestock grazing impacts on soil properties," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    5. 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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