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Optimal detection strategies for an established invasive pest

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  • Homans, Frances
  • Horie, Tetsuya

Abstract

We model optimal detection of sub-populations of invasive species that establish ahead of an advancing front. For many invaders, eradication of the main population is an untenable goal, yet it may be possible to treat and eradicate emerging sub-populations once these sub-populations are detected. We embed a dynamically optimal post-detection management plan of sub-populations into a model of optimal detection effort determination and find that optimal detection effort depends, in part, on the distance from the main front: locations closer to the front with shorter management horizons enjoy lower reductions in overall cost from intervention. The uninfested landscape is divided into two zones, characterized by different dynamically optimal management plans: a suppression zone and an eradication zone. In the suppression zone, optimal detection effort increases with distance from the front. At the distance where the suppression zone yields to the eradication zone, optimal detection effort plateaus at its maximum level.

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  • Homans, Frances & Horie, Tetsuya, 2011. "Optimal detection strategies for an established invasive pest," Ecological Economics, Elsevier, vol. 70(6), pages 1129-1138, April.
    • Handle: RePEc:eee:ecolec:v:70:y:2011:i:6:p:1129-1138
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    1. Liu, Yanxu & Sims, Charles, 2016. "Spatial-dynamic externalities and coordination in invasive species control," Resource and Energy Economics, Elsevier, vol. 44(C), pages 23-38.
    2. Tom Kompas & Pham Van Ha & Hoa Thi Minh Nguyen & Iain East & Sharon Roche & Graeme Garner, 2017. "Optimal surveillance against foot-and-mouth disease: the case of bulk milk testing in Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), pages 515-538, October.
    3. Sara Pasquali & Gianni Gilioli & Dirk Janssen & Stephan Winter, 2015. "Optimal Strategies for Interception, Detection, and Eradication in Plant Biosecurity," Risk Analysis, John Wiley & Sons, vol. 35(9), pages 1663-1673, September.
    4. Kompas, Tom & Chu, Long & Nguyen, Hoa Thi Minh, 2016. "A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia," Ecological Economics, Elsevier, vol. 130(C), pages 156-165.
    5. Charles Sims & David Finnoff & Jason F. Shogren, 2018. "Taking One for the Team: Is Collective Action More Responsive to Ecological Change?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(3), pages 589-615, July.
    6. Kim Meyer Hall & Heidi J. Albers & Majid Alkaee Taleghan & Thomas G. Dietterich, 2018. "Optimal Spatial-Dynamic Management of Stochastic Species Invasions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(2), pages 403-427, June.
    7. Eli Fenichel & Timothy Richards & David Shanafelt, 2014. "The Control of Invasive Species on Private Property with Neighbor-to-Neighbor Spillovers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 231-255, October.
    8. Atallah, Shadi S., 2017. "The bio-economics of managing invasive plant externalities in forests with heterogeneous landowner preferences," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258540, Agricultural and Applied Economics Association.
    9. Yemshanov, 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, Elsevier, vol. 162(C), pages 87-99.
    10. Onal, Sevilay & Akhundov, Najmaddin & Büyüktahtakın, İ. Esra & Smith, Jennifer & Houseman, Gregory R., 2020. "An integrated simulation-optimization framework to optimize search and treatment path for controlling a biological invader," International Journal of Production Economics, Elsevier, vol. 222(C).
    11. Tom Kompas & Pham Van Ha & Hoa-Thi-Minh Nguyen & Graeme Garner & Sharon Roche & Iain East, 2020. "Optimal surveillance against foot-and-mouth disease: A sample average approximation approach," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-21, July.
    12. Denys Yemshanov & Robert G Haight & Cuicui Chen & Ning Liu & Christian J K MacQuarrie & Frank H Koch & Robert Venette & Krista Ryall, 2019. "Managing biological invasions in urban environments with the acceptance sampling approach," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-28, August.
    13. Melstrom, Richard T. & Salau, Kehinde Rilwan & Shanafelt, David W., 2019. "The Optimal Timing of Reintroducing Captive Populations Into the Wild," Ecological Economics, Elsevier, vol. 156(C), pages 174-184.
    14. Eyyüb Y. Kıbış & İ. Esra Büyüktahtakın & Robert G. Haight & Najmaddin Akhundov & Kathleen Knight & Charles E. Flower, 2021. "A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in Cities," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 808-834, May.
    15. Horie, Tetsuya & Haight, Robert G. & Homans, Frances R. & Venette, Robert C., 2013. "Optimal strategies for the surveillance and control of forest pathogens: A case study with oak wilt," Ecological Economics, Elsevier, vol. 86(C), pages 78-85.
    16. İ. Esra Büyüktahtakın & Robert G. Haight, 2018. "A review of operations research models in invasive species management: state of the art, challenges, and future directions," Annals of Operations Research, Springer, vol. 271(2), pages 357-403, December.

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