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Comment on “A simple way to incorporate uncertainty and risk into forest harvest scheduling”

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Eyvindson, K., & Kangas, A. (2017). Comment on “A simple way to incorporate uncertainty and risk into forest harvest scheduling”. Forest Ecology and Management, 386, 86-91. doi:10.1016/j.foreco.2016.03.038
Published in
Forest Ecology and Management
Authors
Eyvindson, Kyle |
Kangas, Annika
Date
2017
Copyright
© 2016 Elsevier B.V. This is a final draft version of an article whose final and definitive form has been published by Elsevier. Published in this repository with the kind permission of the publisher.

 
In a recent research article, Robinson et al. (2016) described a method of estimating uncertainty of harvesting outcomes by analyzing the historical yield to the associated prediction for a large number of harvest operations. We agree with this analysis, and consider it a useful tool to integrate estimates of uncertainty into the optimization process. The authors attempt to manage the risk using two different methods, based on deterministic integer linear programming. The first method focused on maximizing the 10th quantile of the distribution of predicted volume subject to area constraint, while the second method focused on minimizing the variation of total quantity of volume harvested subject to a harvest constraint. The authors suggest that minimizing the total variation of the harvest could be a useful tool to manage risk. Managing risks requires trade-offs, however, typically less risk involves higher costs. The authors only superficially stated the costs and did not consider if these costs are reasonable for the management of risk. In this comment, we specifically develop the models used in their article, and demonstrate a method of managing the downside risk by utilizing the Conditional Value at Risk. ...
Publisher
Elsevier
ISSN Search the Publication Forum
0378-1127
Keywords
stochastic programming risk uncertainty Conditional Value at Risk
DOI
10.1016/j.foreco.2016.03.038
URI

http://urn.fi/URN:NBN:fi:jyu-201708083433

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