Skip to Main Content
Optimizing surveillance strategies for early detection of invasive alien speciesAuthor(s): Denys Yemshanov; Robert G. Haight; Frank H. Koch; Robert C. Venette; Tom Swystun; Ronald E. Fournier; Mireille Marcotte; Yongguang Chen; Jean J. Turgeon
Source: Ecological Economics
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
Download Publication (2.0 MB)
DescriptionSurveillance programs to detect alien invasive pests seek to find them as soon as possible, but also to minimize the cost of damage from invasion. To examine the trade-offs between these objectives, we developed an economic model that allocates survey sites to minimize either the expected mitigation costs or the expected time until first detection of an invasive alien pest subject to a budget constraint on surveillance costs. We also examined strategies preferred by ambiguity-averse decision makers that minimize the expected and worst-case outcomes of each performance measure. We applied the model to the problem of detecting Asian longhorned beetle (Anoplophora glabripennis) in the Greater Toronto Area, Canada, one of the most harmful invasive alien insects in North America. When minimizing expected mitigation costs or expected time to detection, the trade-off between these survey objectives was small. Strategies that minimize the worst-case mitigation costs differed sharply and surveyed sites with high host densities using high sampling intensities whereas strategies that minimize the worst detection times surveyed sites across the entire area using low sampling intensities. Our results suggest that preferences for minimizing mitigation costs or time to detection are more consequential for ambiguity-averse managers than they are for risk-neutral decision-makers.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationYemshanov, Denys; Haight, Robert G.; Koch, Frank H.; Venette, Robert C.; Swystun, Tom; Fournier, Ronald E.; Marcotte, Mireille; Chen, Yongguang; Turgeon, Jean J. 2019. Optimizing surveillance strategies for early detection of invasive alien species. Ecological Economics. 162: 87-99. https://doi.org/10.1016/j.ecolecon.2019.04.030.
KeywordsUncertainty, Early detection survey, Time to first detection, Scenario-based model, Conditional value-at-risk, Asian longhorned beetle, Ambiguity aversion
- Acceptance sampling for cost-effective surveillance of emerald ash borer in urban environments
- Managing biological invasions in urban environments with the acceptance sampling approach
- Optimal invasive species surveillance in the real world: practical advances from research
XML: View XML