We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Stochastic goal programming in forest planning.
- Authors
Eyvindson, Kyle; Kangas, Annika
- Abstract
Developing a forest management plan in a multicriteria perspective is traditionally accomplished utilizing simulation and optimization tools as a means to predict and optimize a variety of criteria under consideration. Goal programming is a useful tool to balance conflicting aspects of the competing criteria. When information regarding an aspect of uncertainty is available, stochastic programming should be utilized to efficiently integrate this additional information. Research has been conducted into determining the accuracy of forest inventory methods; however, the measurement error is typically ignored when generating forest management plans. Through integrating the uncertainty in a systematic fashion, the forest management plan can be improved by describing the potential uncertainty in the plan and by managing the influences of this uncertainty. This paper develops three stochastic goal programming formulations and highlights the usefulness of the approach on a small forest holding.
- Subjects
FOREST management; STOCHASTIC programming; FOREST surveys; SMALL forests; COMPUTER simulation
- Publication
Canadian Journal of Forest Research, 2014, Vol 44, Issue 10, p1274
- ISSN
0045-5067
- Publication type
Article
- DOI
10.1139/cjfr-2014-0170