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dc.contributor.authorMajer, Jonathan
dc.contributor.authorDavidovitch, L.
dc.contributor.authorStoklosa, R.
dc.date.accessioned2017-01-30T11:37:36Z
dc.date.available2017-01-30T11:37:36Z
dc.date.created2010-08-18T07:47:41Z
dc.date.issued2009
dc.identifier.citationDavidovitch, L., R. Stoklosa, J. Majer, A. Nietrzeba, P. Whittle, K. Mengerson & Y. Ben-Haim (2009) Robustness of surveillance for biosecurity with detection uncertainty. Journal of Environmental Management 90, 2785-2793.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/13530
dc.identifier.doi10.1016/j.jenvman.2009.03.011
dc.description.abstract

Surveillance for invasive non-indigenous species (NIS) is an integral part of a quarantine system. Estimating the efficiency of a surveillance strategy relies on many uncertain parameters estimated by experts, such as the efficiency of its components in face of the specific NIS, the ability of the NIS to inhabit different environments, and so on. Due to the importance of detecting an invasive NIS within a critical period of time, it is crucial that these uncertainties be accounted for in the design of the surveillance system. We formulate a detection model that takes into account, in addition to structured sampling for incursive NIS, incidental detection by untrained workers. We use info-gap theory for satisficing (not minimizing) the probability of detection, while at the same time maximizing the robustness to uncertainty. We demonstrate the trade-off between robustness to uncertainty, and an increase in the required probability of detection. An empirical example based on the detection of Pheidole megacephala on Barrow Island demonstrates the use of info-gap analysis to select a surveillance strategy.

dc.titleRobustness of surveillance for biosecurity with detection uncertainty
dc.typeJournal Article
curtin.note

Reference Number: #J123

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PDF file is also available from Jonathan Majer Email: J.Majer@curtin.edu.au

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Please cite the Reference number (as above)

curtin.accessStatusFulltext not available
curtin.facultySchool of Agriculture and Environment
curtin.facultyDepartment of Environmental Biology
curtin.facultyFaculty of Science and Engineering


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