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Modeling the human-induced spread of an aquatic invasive: The case of the zebra mussel

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  • Timar, Levente
  • Phaneuf, Daniel J.
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    Abstract

    Ecological evidence indicates that transient recreational boating is the principal overland vector of dispersal for several freshwater invasive species. Understanding boating behavior, and how behavior responds to policy changes, is central to understanding the effectiveness of efforts to halt or slow the spread of aquatic invasives. We develop a framework that combines a recreation demand model of boating behavior with a discrete duration model describing the spatial and temporal spread of an aquatic invasive. The integrated approach allows us to link invasion risk probabilities directly to boating behavior, policy levers, and behavior changes arising from policy shocks. With an application to zebra mussels in Wisconsin we show that explicitly accounting for behavioral responses can dramatically change predictions for the effectiveness of particular policies, in some instances leading to increases in invasions risks at some sites.

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    Bibliographic Info

    Article provided by Elsevier in its journal Ecological Economics.

    Volume (Year): 68 (2009)
    Issue (Month): 12 (October)
    Pages: 3060-3071

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    Handle: RePEc:eee:ecolec:v:68:y:2009:i:12:p:3060-3071

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    Web page: http://www.elsevier.com/locate/ecolecon

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    Keywords: Invasive species Recreational boating Zebra mussel Random utility maximization model;

    References

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    1. Murdock, Jennifer, 2006. "Handling unobserved site characteristics in random utility models of recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 1-25, January.
    2. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761 Elsevier.
    3. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    4. Timmins, Christopher & Murdock, Jennifer, 2007. "A revealed preference approach to the measurement of congestion in travel cost models," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 230-249, March.
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    Cited by:
    1. Hyytiäinen, Kari & Lehtiniemi, Maiju & Niemi, Jarkko K. & Tikka, Kimmo, 2013. "An optimization framework for addressing aquatic invasive species," Ecological Economics, Elsevier, vol. 91(C), pages 69-79.
    2. Homans, Frances & Horie, Tetsuya, 2011. "Optimal detection strategies for an established invasive pest," Ecological Economics, Elsevier, vol. 70(6), pages 1129-1138, April.
    3. Brooks Kaiser & Kimberly Burnett, 2010. "Spatial Economic Analysis of Early Detection and Rapid Response Strategies for an Invasive Species," Working Papers 2010-05, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    4. Melstrom, Richard T. & Lupi, Frank, 2013. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149732, Agricultural and Applied Economics Association.

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