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Optimal Monitoring and Controlling of Invasive Species: The Case of Spotted Wing Drosophila in the United States

Author

Listed:
  • Fan, Xiaoli
  • Gómez, Miguel
  • Atallah, Shadi

Abstract

Spotted wing drosophila (SWD) is an invasive pest having a devastating effect on soft-skinned fruits such as blueberries, raspberries, blackberries, strawberries, and cherries. Due to zero tolerance of SWD infested fruit in both fresh and frozen markets, current SWD management strategies consist mainly of preventive broad-spectrum insecticide sprays. Extension services across the United States are calling for management strategies that incorporate monitoring to reduce unnecessary insecticide sprays. Nonetheless, little is known about the economic benefits of these management strategies over the broad-spectrum insecticide sprays. In this paper, we develop a dynamic bioeconomic model to identify the cost-minimizing mix of SWD management strategies. We employ Bayesian methods in a dynamic simulation setting to evaluate the economic outcomes of alternative strategies involving insecticide sprays and monitoring combinations. We apply this model to a blueberry farmer making decisions to control SWD infestation. We find that the economic impacts of different SWD control strategies depend on the efficacy of the insecticide applied, the efficiency of monitoring traps, and also the action threshold selected. Overall, as the efficiency of monitoring traps improves, the management strategies which include monitoring are superior to the spray-only strategy. Also, growers can choose more liberal action thresholds when using monitoring traps with higher efficiency. In addition, monitor-to-initiate spray strategies perform better than the monitor-to-guide spray strategies in general.

Suggested Citation

  • Fan, Xiaoli & Gómez, Miguel & Atallah, Shadi, 2016. "Optimal Monitoring and Controlling of Invasive Species: The Case of Spotted Wing Drosophila in the United States," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236042, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea16:236042
    DOI: 10.22004/ag.econ.236042
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    File URL: http://ageconsearch.umn.edu/record/236042/files/SWD%20Bayesian%20State%20Space_20160525_submitted.pdf
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    References listed on IDEAS

    as
    1. Ben White, 2000. "A Review of the Economics of Biological Natural Resources," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(3), pages 419-462, September.
    2. Fackler, Paul L. & Haight, Robert G., 2014. "Monitoring as a partially observable decision problem," Resource and Energy Economics, Elsevier, vol. 37(C), pages 226-241.
    3. Haight, Robert G. & Polasky, Stephen, 2010. "Optimal control of an invasive species with imperfect information about the level of infestation," Resource and Energy Economics, Elsevier, vol. 32(4), pages 519-533, November.
    4. Chaloupka, Milani & Balazs, George, 2007. "Using Bayesian state-space modelling to assess the recovery and harvest potential of the Hawaiian green sea turtle stock," Ecological Modelling, Elsevier, vol. 205(1), pages 93-109.
    5. Mevin B. Hooten & Christopher K. Wikle & Robert M. Dorazio & J. Andrew Royle, 2007. "Hierarchical Spatiotemporal Matrix Models for Characterizing Invasions," Biometrics, The International Biometric Society, vol. 63(2), pages 558-567, June.
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    Keywords

    Environmental Economics and Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy;

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