Assessing the geographic origin of the invasive grey squirrel using DNA sequencing: implications for management strategies

Stevenson-Holt, Claire D. and Sinclair, Billy (2014) Assessing the geographic origin of the invasive grey squirrel using DNA sequencing: implications for management strategies. Global Ecology and Conservation, 3 . pp. 20-27.

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Official URL: http://dx.doi.org/10.1016/j.gecco.2014.11.005

Abstract

The invasive grey squirrel Sciurus carolinensis has become a major pest species causing negative effects to forestry and biodiversity. This study aims to assess the origin of grey squirrel within Cumbria using phylogeographic analysis to aid in management and control. The work reported analysed mitochondrial DNA sequences in the D-Loop gene of 73 grey squirrel individuals from multiple locations in the UK. The results indicate that individuals in north Cumbria are derived from individuals from Scotland and North East England. Other individuals in north Cumbria share a unique haplotype with south Cumbria and Lancashire suggesting a southerly origin and movement around or over the Cumbrian Mountain range which is thought of as a barrier to movements. The assessment of invasive species geographical origin and the identification of potential wildlife transit corridors through natural barriers are becoming more important as species shift range in response to environmental and ecological changes. With the grey squirrel population expansion also occurring in Italy, the European red squirrel may become threatened across its entire range. It is crucial to understand the population origins of the invasive grey squirrel and landscape usage to successfully manage the incursion routes and control the population.

Item Type: Article
Journal or Publication Title: Global Ecology and Conservation
Publisher: Elsevier
ISSN: 2351-9894
Departments: Faculty of Health and Science > Science, Natural Resources and Outdoor Studies > Forestry, Conservation & Applied Science
Additional Information: © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
Depositing User: Insight Administrator
Date Deposited: 18 Dec 2014 14:04
Last Modified: 16 Mar 2017 17:09
URI: http://insight.cumbria.ac.uk/id/eprint/1642

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