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A Dynamic Model For Determining Optimal Range Improvement Programs

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  • Bernardo, Daniel J.

Abstract

A Markov chain dynamic programming model is presented for determining optimal range improvement strategies as well as accompanying livestock production practices. The model specification focuses on the improved representation of rangeland dynamics and livestock response under alternative range conditions. The model is applied to range management decision making in the Cross Timbers Region of central Oklahoma. Results indicate that tebuthiuron treatments are economically feasible over the range of treatment costs evaluated. Optimal utilization of forage production following a treatment requires the conjunctive employment of prescribed burning and variable stocking rates over the treatmentÂ’s life.

Suggested Citation

  • Bernardo, Daniel J., 1989. "A Dynamic Model For Determining Optimal Range Improvement Programs," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(02), December.
  • Handle: RePEc:ags:wjagec:32358
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    File URL: http://purl.umn.edu/32358
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    References listed on IDEAS

    as
    1. Brorsen, B. Wade & Walker, Odell L. & Horn, Gerald W. & Nelson, Ted R., 1983. "A Stocker Cattle Growth Simulation Model," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 15(01), July.
    2. Pope, C. Arden, III & McBryde, Gary L., 1984. "Optimal Stocking Of Rangeland For Livestock Production Within A Dynamic Framework," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(01), July.
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