The effects of invasive pests and pathogens on strategies for forest diversification

Morag F. Macpherson, Adam Kleczkowski, John R. Healey, Christopher P. Quine, Nick Hanley

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Diversification of the tree species composition of production forests is a frequently advocated strategy to increase resilience to pests and pathogens; however, there is a lack of a general framework to analyse the impact of economic and biological conditions on the optimal planting strategy in the presence of tree disease. To meet this need we use a novel bioeconomic model to quantitatively assess the effect of tree disease on the optimal planting proportion of two tree species. We find that diversifying the species composition can reduce the economic loss from disease even when the benefit from the resistant species is small. However, this key result is sensitive to a pathogen's characteristics (probability of arrival, time of arrival, rate of spread of infection) and the losses (damage of the disease to the susceptible species and reduced benefit of planting the resistant species). This study provides an exemplar framework which can be used to help understand the effect of a pathogen on forest management strategies.

LanguageEnglish
Pages87-99
Number of pages13
JournalEcological Modelling
Volume350
DOIs
Publication statusPublished - 24 Apr 2017

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pathogen
arrival time
economics
forest management
effect
pest
damage
planting
loss

Keywords

  • bioeconomic modelling
  • forest management
  • natural resource management
  • tree pests and pathogens
  • tree species diversification

Cite this

Macpherson, Morag F. ; Kleczkowski, Adam ; Healey, John R. ; Quine, Christopher P. ; Hanley, Nick. / The effects of invasive pests and pathogens on strategies for forest diversification. In: Ecological Modelling. 2017 ; Vol. 350. pp. 87-99.
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The effects of invasive pests and pathogens on strategies for forest diversification. / Macpherson, Morag F.; Kleczkowski, Adam; Healey, John R.; Quine, Christopher P.; Hanley, Nick.

In: Ecological Modelling, Vol. 350, 24.04.2017, p. 87-99.

Research output: Contribution to journalArticle

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AU - Hanley, Nick

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