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

Macpherson, M. F., Kleczkowski, A., Healey, J. R., Quine, C. P. and Hanley, N. (2017) The effects of invasive pests and pathogens on strategies for forest diversification. Ecological Modelling, 350, pp. 87-99. (doi: 10.1016/j.ecolmodel.2017.02.003) (PMID:28446833) (PMCID:PMC5384431)

[img]
Preview
Text
154008.pdf - Published Version
Available under License Creative Commons Attribution.

1MB

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.

Item Type:Articles
Additional Information:This is one of seven projects in the Tree Health and Plant Biosecurity Initiative (phase 2) funded by BBSRC, Defra, ESRC, Forestry Commission, NERC and Scottish Government.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hanley, Professor Nicholas
Authors: Macpherson, M. F., Kleczkowski, A., Healey, J. R., Quine, C. P., and Hanley, N.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Ecological Modelling
Publisher:Elsevier
ISSN:0304-3800
ISSN (Online):1872-7026
Published Online:24 February 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in Ecological Modelling 350: 87-99
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record