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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

Information

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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