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The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework.
Macpherson, Morag F; Kleczkowski, Adam; Healey, John R; Hanley, Nick.
Afiliação
  • Macpherson MF; 1Computing Science and Mathematics, School of Natural Sciences, Cottrell Building, University of Stirling, Stirling, FK9 4LA UK.
  • Kleczkowski A; 1Computing Science and Mathematics, School of Natural Sciences, Cottrell Building, University of Stirling, Stirling, FK9 4LA UK.
  • Healey JR; 2School of Environment, Natural Resources and Geography, College of Natural Sciences, Bangor University, Gwynedd, Bangor, LL57 2UW UK.
  • Hanley N; 3School of Geography and Geosciences, Irvine Building, University of St Andrews, North Street, St Andrews, Fife, KY16 9AL UK.
Environ Resour Econ (Dordr) ; 70(3): 565-588, 2018.
Article em En | MEDLINE | ID: mdl-30996519
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Resour Econ (Dordr) Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Resour Econ (Dordr) Ano de publicação: 2018 Tipo de documento: Article