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Optimal Detection Strategies for an Established Invasive Forest Pest

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  • Horie, Tetsuya
  • Homans, Frances R.

Abstract

When it comes to invasive species management, economists have focused on the trade-off between prevention of potential invasions and management of established populations. The intermediate step-detection of established populations on the landscape so that management can commence-has only recently received attention in the economics literature. A recent paper (Mehta et al., 2007) explores how biological and economic parameters affect optimal detection spending, recognizing that greater expenditures on detection can lead to smaller and more manageable population sizes upon detection because populations are discovered early. We build upon this framework by considering the optimal spatial allocation of detection effort when it is impossible to stop the advance of the main front of an invasive species, yet it is beneficial to detect and control sub-populations of the species that erupt ahead of the front. Our approach recognizes that the duration of management of sub-populations is constrained by the amount of time remaining before the main front arrives. Locations close to the front have less time remaining than locations that are more distant. These differences imply different levels of potential benefit from early detection; in particular, shorter management horizons translate into lower benefits from intervention. The optimal intensity of detection effort varies over space along with this variation in the benefits from management.

Suggested Citation

  • Horie, Tetsuya & Homans, Frances R., 2007. "Optimal Detection Strategies for an Established Invasive Forest Pest," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9695, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea07:9695
    DOI: 10.22004/ag.econ.9695
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    Cited by:

    1. Dingcheng Huang & Runzhi Zhang & Ke Chung Kim & Andrew V Suarez, 2012. "Spatial Pattern and Determinants of the First Detection Locations of Invasive Alien Species in Mainland China," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-7, February.
    2. Morag F. Macpherson & Adam Kleczkowski & John R. Healey & Nick Hanley, 2018. "The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(3), pages 565-588, July.
    3. Bonneau, Mathieu & Johnson, Fred A. & Romagosa, Christina M., 2016. "Spatially explicit control of invasive species using a reaction–diffusion model," Ecological Modelling, Elsevier, vol. 337(C), pages 15-24.
    4. Yemshanov, Denys & Koch, Frank H. & Lu, Bo & Lyons, D. Barry & Prestemon, Jeffrey P. & Scarr, Taylor & Koehler, Klaus, 2014. "There is no silver bullet: The value of diversification in planning invasive species surveillance," Ecological Economics, Elsevier, vol. 104(C), pages 61-72.
    5. 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.

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    Resource /Energy Economics and Policy;

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