Journal article

Allocating surveillance resources to reduce ecological invasions: maximizing detections and information about the threat

Andrew Robinson, Mark A Burgman, Rob Cannon

Ecological Applications | WILEY | Published : 2011

Abstract

Allocating resources to detect invasive pests, diseases, and pathogens on exposure pathways requires a trade-off between the need to detect as many contaminated items as possible and the need to acquire knowledge about contamination rates. We develop a model and an algorithm that provide guidance for the allocation of inspection resources across multiple dynamic pathways in cases where not every item can be inspected. The model uses a null hypothesis that the contamination rate of a pathway is above a specified level: a risk cutoff. Pathways with a risk above the cutoff are fully inspected, and those with a risk below the cutoff level are monitored at a rate that would detect a change of the..

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Grants

Funding Acknowledgements

The authors thank the following people who have provided invaluable advice and input: Wayne Atkinson, Ferne Clark, Greg Hood, Robert Langlands, and Chris Miller. This research was supported by the Australian Centre of Excellence for Risk Analysis and the Biosecurity Services Group. The authors are grateful to two anonymous reviewers for detailed and thoughtful comments. The opinions remain solely those of the authors.