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

Published online by Cambridge University Press:  05 September 2016

L. Garoian ,
J. R. Conner  and
C. J. Scifres
L. Garoian
Affiliation:
Department of Agricultural Economics
J. R. Conner
Affiliation:
Departments of Agricultural Bconomics and Range Science
C. J. Scifres
Affiliation:
Department of Range Science, Texas A&M University
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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.

Keywords

Macartney rosediscrete stochastic programmingprescribed burningrangeland
Type
Submitted Articles
Information
Journal of Agricultural and Applied Economics , Volume 19 , Issue 2 , December 1987 , pp. 53 - 60
Copyright
Copyright © Southern Agricultural Economics Association 1987

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References

Anderson, J. R., Dillon, J. L., and Hardaker, B.. Agricultural Decision Analysis. Ames, Iowa: The Iowa State University Press, 1977.Google Scholar
Apland, J., and Kaiser, H.. “Discrete Stochastic Sequential Programming: A Primer.” Staff Papers Series. University of Minnesota (St. Paul), 1984.Google Scholar
Budnick, F. S., Mojena, R., and Vollmann, T. E.. Principles of Operations Research for Management. Homewood, Illinois: Richard D. Irwin, Inc., 1977.Google Scholar
Cocks, K. D. “Discrete Stochastic Programming.” Mgt. Science, 15(1968):72–79.Google Scholar
Dantzig, G. “Linear Programming Under Uncertainty.” Mgt. Science, 1(1955):197–206.CrossRefGoogle Scholar
Garoian, L., Conner, J. R., and Scifres, C. J.. “Economic Evaluation of Fire-Based Improvement Systems for Macartney Rose.” J. Range Mgt., 37(1984):111–115.CrossRefGoogle Scholar
Gebremeskel, T., and Shumway, C. R.. “Farm Planning and Calf Marketing Strategies for Risk Management: An Application of Linear Programming and Statistical Decision Theory.” Amer. J. Agr. Econ., 61(1979):363–370.Google Scholar
Gordon, R. A., and Scifres, C. J.. “Burning for Improvement of Macartney Rose-Infested Coastal Prairie.” Texas Agr. Exp. Sta. Bul. 1183, Nov. 1977.Google Scholar
Hansotia, B. J. “Stochastic Linear Programming with Recourse: A Tutorial.” Decision Sciences, 11(1980):151–168.Google Scholar
Klemme, R. M. “An Economic Analysis of the On-Farm Grain Handling Decision Problems.” Unpublished Ph.D. Dissertation, Purdue University, 1983.Google Scholar
Leatham, D. “Optimal Choice of Fixed and Variable Interest Rate Loans for Midwest Crop-Livestock Farms: Implications for Agricultural Lenders.” Unpublished Ph.D. Dissertation, Purdue University, 1983.Google Scholar
O'Brien, D. “Risk and the Selection of Alternative Weed Management Technologies in Philippine Upland Rice Production.” Unpublished Ph.D. Dissertation, Oregon State University, 1981.Google Scholar
Rae, A. N. “An Empirical Application and Evaluation of Discrete Stochastic Programming in Farm Management.” Amer. J. Agr. Econ., 53(1971a):625–638.CrossRefGoogle Scholar
Rae, A. N.. “Decision Problems in Farm Management.” Amer. J. Agr. Econ., 53(1971b):448–460.CrossRefGoogle Scholar
Scifres, C. J. “Systems for Improving Macartney Rose-Infested Coastal Prairie Rangeland.” Texas Agr. Exp. Sta. Misc. Pub. 1225, 1975.Google Scholar
Tice, T. F. “An Investigation of Nitrogen Application Under Uncertainty.” Unpublished Ph.D Dissertation, Purdue University, 1981.Google Scholar
White, L. D. “Principles, Requirements and Techniques For Prescribed Range Burning.” Proceedings of Prescribed Burning Symposium. Kingsville, Texas, Oct. 16, 1980.Google Scholar
Yaron, P., and Horowitz, V.. “A Sequential Programming Model of Growth and Capital Accumulation of a Farm Under Certainty.” Amer. J. Agr. Econ., 54(1972):441–451.Google Scholar