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Reconciling Uncertain Costs and Benefits in Bayes Nets for Invasive Species Management

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  • M. A. Burgman
  • B. A. Wintle
  • C. A. Thompson
  • A. Moilanen
  • M. C. Runge
  • Yakov Ben‐Haim

Abstract

Bayes nets are used increasingly to characterize environmental systems and formalize probabilistic reasoning to support decision making. These networks treat probabilities as exact quantities. Sensitivity analysis can be used to evaluate the importance of assumptions and parameter estimates. Here, we outline an application of info‐gap theory to Bayes nets that evaluates the sensitivity of decisions to possibly large errors in the underlying probability estimates and utilities. We apply it to an example of management and eradication of Red Imported Fire Ants in Southern Queensland, Australia and show how changes in management decisions can be justified when uncertainty is considered.

Suggested Citation

  • M. A. Burgman & B. A. Wintle & C. A. Thompson & A. Moilanen & M. C. Runge & Yakov Ben‐Haim, 2010. "Reconciling Uncertain Costs and Benefits in Bayes Nets for Invasive Species Management," Risk Analysis, John Wiley & Sons, vol. 30(2), pages 277-284, February.
  • Handle: RePEc:wly:riskan:v:30:y:2010:i:2:p:277-284
    DOI: 10.1111/j.1539-6924.2009.01273.x
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    References listed on IDEAS

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    1. Mark Borsuk & Robert Clemen & Lynn Maguire & Kenneth Reckhow, 2001. "Stakeholder Values and Scientific Modeling in the Neuse River Watershed," Group Decision and Negotiation, Springer, vol. 10(4), pages 355-373, July.
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    Cited by:

    1. Moshe Sniedovich, 2012. "Fooled by Local Robustness," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1630-1637, October.

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