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Deriving efficient frontiers for effort allocation in the management of invasive species

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  • Cacho, Oscar J.
  • Hester, Susan M.

Abstract

Invasive species cause significant losses through their effect on agriculture, human health and the environment. Their importance has increased with time owing to globalisation, as the spread of invasive species is facilitated by the increased movement of people, cargo and genetic material around the world. There is a vast literature on the economics of invasive species and their management. Here, we contribute to this literature by applying a spatio-temporal model to the allocation of surveillance resources. We focus on three questions regarding resource allocation to control a newly discovered invasion: the budget, which determines the amount of search effort available; the duration of the control program; and the allocation of surveillance and control in time and space. We also explore the complementary role of passive surveillance by members of the public. We derive efficient frontiers for effort allocation that represent the trade-off between cost and probability of eradication after inefficient strategies have been eliminated. We use the results to illustrate how to evaluate whether introduction of passive surveillance is desirable based on cost and eradication probability. We conclude by discussing the implications of our findings in the design of control programs.

Suggested Citation

  • Cacho, Oscar J. & Hester, Susan M., 2011. "Deriving efficient frontiers for effort allocation in the management of invasive species," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(1), pages 1-18.
  • Handle: RePEc:ags:aareaj:176755
    DOI: 10.22004/ag.econ.176755
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    References listed on IDEAS

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    4. Cacho, Oscar J. & Hester, Susan M. & Spring, Daniel, 2007. "Applying search theory to determine the feasibility of eradicating an invasive population in natural environments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 1-19.
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    8. Cacho, Oscar J. & Wise, Russell M. & Hester, Susan M. & Sinden, J.A., 2008. "Bioeconomic modeling for control of weeds in natural environments," Ecological Economics, Elsevier, vol. 65(3), pages 559-568, April.
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    Cited by:

    1. Sara Pasquali & Gianni Gilioli & Dirk Janssen & Stephan Winter, 2015. "Optimal Strategies for Interception, Detection, and Eradication in Plant Biosecurity," Risk Analysis, John Wiley & Sons, vol. 35(9), pages 1663-1673, September.
    2. Martin Drechsler & Julia Touza & Piran C. L. White & Glyn Jones, 2016. "Agricultural landscape structure and invasive species: the cost-effective level of crop field clustering," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 111-121, February.
    3. Carrasco, L. Roman & Cook, David & Baker, Richard & MacLeod, Alan & Knight, Jon D. & Mumford, John D., 2012. "Towards the integration of spread and economic impacts of biological invasions in a landscape of learning and imitating agents," Ecological Economics, Elsevier, vol. 76(C), pages 95-103.

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