Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/25119
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Peer Review Status: | Refereed |
Title: | The effects of invasive pests and pathogens on strategies for forest diversification |
Author(s): | Macpherson, Morag Kleczkowski, Adam Healey, John Quine, Christopher P Hanley, Nick |
Keywords: | Bioeconomic modelling Forest management Natural resource management Tree pests and pathogens Tree species diversification |
Issue Date: | 24-Apr-2017 |
Date Deposited: | 6-Mar-2017 |
Citation: | Macpherson M, Kleczkowski A, Healey J, Quine CP & Hanley N (2017) The effects of invasive pests and pathogens on strategies for forest diversification. Ecological Modelling, 350, pp. 87-99. https://doi.org/10.1016/j.ecolmodel.2017.02.003 |
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 oftree 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 speciesis small. However, this key result is sensitive to a pathogen’s characteristics (probability of arrival, timeof 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. |
DOI Link: | 10.1016/j.ecolmodel.2017.02.003 |
Rights: | This article is available under the terms of the Creative Commons Attribution License (CC BY). You may copy and distribute the article, create extracts, abstracts and new works from the article, alter and revise the article, text or data mine the article and otherwise reuse the article commercially (including reuse and/or resale of the article) without permission from Elsevier. You must give appropriate credit to the original work, together with a link to the formal publication through the relevant DOI and a link to the Creative Commons user license above. You must indicate if any changes are made but not in any way that suggests the licensor endorses you or your use of the work. Permission is not required for this type of reuse. |
Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
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Macpherson_et_al-EcologicalModelling_2017.pdf | Fulltext - Published Version | 1.32 MB | Adobe PDF | View/Open |
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