title: Reconciling uncertain costs and benefits in Bayes nets for invasive species management.
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.
authors: Australian Centre of Excellence for Risk Analysis, School of Botany, University of Melbourne, Parkville, 3010, Australia. markab@unimelb.edu.au
authors: M A
authors: MA
authors: Burgman
authors: B A
authors: BA
authors: Wintle
authors: C A
authors: CA
authors: Thompson
authors: A
authors: A
authors: Moilanen
authors: M C
authors: MC
authors: Runge
authors: Yakov
authors: Y
authors: Ben-Haim
mesh_terms: D000818:Animals; D001315:Australia; D003365:Costs and Cost Analysis; D003657:Decision Making; D004777:Environment; D006801:Humans; D011336:Probability; D011793:Queensland; D035501:Uncertainty