Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/24607
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework (Forthcoming/Available Online)
Authors: Macpherson, Morag
Kleczkowski, Adam
Healey, John
Hanley, Nick
Contact Email: mfm@cs.stir.ac.uk
Keywords: Disease
Faustmann
Forest management
Forestry
Optimal rotation length
Bioeconomic modelling
Issue Date: 27-Oct-2016
Citation: Macpherson M, Kleczkowski A, Healey J & Hanley N (2016) The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework (Forthcoming/Available Online), Environmental and Resource Economics.
Abstract: The arrival of novel pathogens and pests can have a devastating effect on the market values of forests. Calibrating management strategies/decisions to consider the effect of disease may help to reduce disease impacts on forests. Here, we use a novel generalisable, bioeconomic model framework, which combines an epidemiological compartmental model with a Faustmann optimal rotation length model, to explore the management decision of when to harvest a single rotation, even-aged, plantation forest under varying disease conditions. Sensitivity analysis of the rate of spread of infection and the effect of disease on the timber value reveals a key trade-off between waiting for the timber to grow and the infection spreading further. We show that the optimal rotation length, which maximises the net present value of the forest, is reduced when timber from infected trees has no value; but when the infection spreads quickly, and the value of timber from infected trees is non-zero, it can be optimal to wait until the disease-free optimal rotation length to harvest. Our original approach provides an exemplar framework showing how a bioeconomic model can be used to examine the effect of tree diseases on management strategies/decisions.
DOI Link: http://dx.doi.org/10.1007/s10640-016-0077-4
Rights: © The Author(s) 2016 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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