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The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework

Author

Listed:
  • Morag F. Macpherson

    () (University of Stirling)

  • Adam Kleczkowski

    (University of Stirling)

  • John R. Healey

    (Bangor University)

  • Nick Hanley

    (University of St Andrews)

Abstract

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.

Suggested Citation

  • Morag F. Macpherson & Adam Kleczkowski & John R. Healey & Nick Hanley, 2018. "The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(3), pages 565-588, July.
  • Handle: RePEc:kap:enreec:v:70:y:2018:i:3:d:10.1007_s10640-016-0077-4
    DOI: 10.1007/s10640-016-0077-4
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    References listed on IDEAS

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