Prioritising invasive species control actions : evaluating effectiveness, costs, willingness to pay and social acceptance
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Island ecosystems are recognised as high priority for biodiversity conservation, with invasive species a significant threat. To investigate prioritisation invasive species control, we conducted cost-effectiveness analysis of donkey control on Bonaire, Caribbean Netherlands. Successful prioritisation must take account of ecological, economic and social aspects of conservation. Further improvements are possible where impacts are measured across ecosystem boundaries, and management is tied to funding. We modelled the expected ecological impacts of control options, estimated costs, and connected this to the willingness of beneficiaries to fund such projects. Finally we surveyed experts to understand the social acceptability of donkey control. Of the control options, eradication is predicted to have the highest ecological impacts across two ecosystems, and to be cost-effective over the long term. Costs of all control options were within user willingness to pay. Social acceptability was highest for fencing, and lowest for lethal control. Though eradication offers the highest ecological benefits, we suggest that lower initial costs and higher social acceptability make fencing the better choice for Bonaire in the immediate future. In this way we illustrate the importance of considering economic and social impacts alongside the ecological in environmental conservation, and present an integrated application for prioritising conservation choices.
Roberts , M , Cresswell , W & Hanley , N 2018 , ' Prioritising invasive species control actions : evaluating effectiveness, costs, willingness to pay and social acceptance ' , Ecological Economics , vol. 152 , pp. 1-8 . https://doi.org/10.1016/j.ecolecon.2018.05.027
© 2018 Elsevier B. V. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.ecolecon.2018.05.027
DescriptionThis paper was funded by University of St Andrews, School of Geography and Geosciences; Van Eeden Foundation [Project number: 201505]; the Sophie Danforth Conservation Biology Fund; and the Rural & Environment Science &Analytical Services Division of the Scottish Government.
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