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A Discrete Stochastic Programming Model to Estimate Optimal Burning Schedules on Rangeland

Author

Listed:
  • Garoian, L.
  • Conner, J. R.
  • Scifres, C. J.

Abstract

Macartney rose is a range management problem on 500,000 acres of rangeland in Texas. Roller chopping followed by burning is an effective method of improving infested rangeland. However, uncertainty associated with implementing effective burns adversely affects economic feasibility of the treatment sequence. Discrete stochastic programming is used to determine optimal burning schedules under uncertainty. Optimal schedules and expected net returns vary with changes in the probability of a successful burn.

Suggested Citation

  • Garoian, L. & Conner, J. R. & Scifres, C. J., 1987. "A Discrete Stochastic Programming Model to Estimate Optimal Burning Schedules on Rangeland," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 19(2), pages 53-60, December.
    • Handle: RePEc:cup:jagaec:v:19:y:1987:i:02:p:53-60_02
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    Cited by:

    1. Kingwell, Ross S., 1992. "The Tactics of Dryland Farm Management given Variance in Climate and Prices," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146536, Australian Agricultural and Resource Economics Society.
    2. Lambert, David K., 1989. "Calf Retention And Production Decisions Over Time," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-11, July.
    3. Schilizzi, S. G. M. & Kingwell, R. S., 1999. "Effects of climatic and price uncertainty on the value of legume crops in a Mediterranean-type environment," Agricultural Systems, Elsevier, vol. 60(1), pages 55-69, May.
    4. Olson, Kent D. & Mikesell, Chris L., 1988. "The Range Stocking Decision And Stochastic Forage Production," Staff Papers 13502, University of Minnesota, Department of Applied Economics.

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