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An options based bioeconomic model for biological and chemical control of invasive species

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  • Marten, Alex L.
  • Moore, Christopher C.

Abstract

The management of non-native invasive species is a complex but crucial task given the potential for economic and environmental damages. For many invasions the development of socially optimal control strategies requires more than is offered by the single-species, single-control models that have dominated this area of research. We develop a general stochastic optimal control framework that accommodates multiple interacting species while accounting for uncertainty in the temporal population dynamics. This extension to the current line of bioeconomic control models allows for the design of optimal integrated pest management strategies that utilize both chemical and biological controls in an environment of uncertainty and irreversibility. We demonstrate the benefits of combining chemical and biological controls in long term management strategies through a case study of the hemlock wooly adelgid (Adelges tsugae) infestation in the eastern United States. In this application we find that the introduction of natural predators is usually sufficient to manage the infestation, though chemical insecticides can play an important role when detection of the infestation is delayed or when the biological control agent does not sufficiently increase mortality of the invasive species.

Suggested Citation

  • Marten, Alex L. & Moore, Christopher C., 2011. "An options based bioeconomic model for biological and chemical control of invasive species," Ecological Economics, Elsevier, vol. 70(11), pages 2050-2061, September.
  • Handle: RePEc:eee:ecolec:v:70:y:2011:i:11:p:2050-2061
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Charles Sims & David Finnoff & Jason F. Shogren, 2016. "Bioeconomics of invasive species: using real options theory to integrate ecology, economics, and risk management," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 61-70, February.
    2. Dalmazzone, Silvana & Giaccaria, Sergio, 2014. "Economic drivers of biological invasions: A worldwide, bio-geographic analysis," Ecological Economics, Elsevier, vol. 105(C), pages 154-165.
    3. Sturla Furunes Kvamsdal & Diwakar Poudel & Leif Kristoffer Sandal, 2016. "Harvesting in a Fishery with Stochastic Growth and a Mean-Reverting Price," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(3), pages 643-663, March.
    4. Fenichel, Eli P. & Horan, Richard D., 2016. "Tinbergen and tipping points: Could some thresholds be policy-induced?," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 137-152.
    5. 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.
    6. Sims, Charles & Finnoff, David, 2013. "When is a “wait and see” approach to invasive species justified?," Resource and Energy Economics, Elsevier, vol. 35(3), pages 235-255.
    7. arnaud dragicevic, 2012. "Bayesian Population Dynamics of Spreading Species," THEMA Working Papers 2012-30, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Davis, Rebecca J. & Sims, Charles, 2016. "To Frack or Not to Frack: Option Value Analysis on the U.S. Natural Gas Market," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235642, Agricultural and Applied Economics Association.
    9. Sims, Charles & Finnoff, David & O’Regan, Suzanne M., 2016. "Public control of rational and unpredictable epidemics," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 161-176.

    More about this item

    Keywords

    Invasive species Real options Integrated pest management Biological control;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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