Journal article
Prevent, search or destroy? A partially observable model for invasive species management
TM Rout, JL Moore, MA Mccarthy
Journal of Applied Ecology | Published : 2014
Abstract
Summary: The extensive impact of invasive species has motivated a growing field of research combining ecological and economic models to find cost-effective management strategies. Ecological systems are rarely perfectly observable, meaning decision-makers are usually uncertain about the current extent of an infestation and even whether an invasive species is present or absent. We show how to account for this uncertainty when providing decision support for invasive species management. We constructed the first partially observable model to analyse the trade-off between all three facets of invasive species management: quarantine, surveillance and control. We use a partially observable Markov dec..
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Funding Acknowledgements
Many thanks to Iadine Chades, David Roberts and Andrew Solow for helpful comments, and to Michael Bode and Iadine Chades for technical advice and assistance. This research was supported by an Australian Research Council (ARC) Discovery Grant to T.M.R. and J.L.M. (DP110101499), and an ARC Future Fellowship to M.A.M. (FT1 00100923).