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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.

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.

Suggested Citation

  • Timar, Levente & Phaneuf, Daniel J., 2009. "Modeling the human-induced spread of an aquatic invasive: The case of the zebra mussel," Ecological Economics, Elsevier, vol. 68(12), pages 3060-3071, October.
  • Handle: RePEc:eee:ecolec:v:68:y:2009:i:12:p:3060-3071
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    References listed on IDEAS

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    1. 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.
    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. 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.
    4. 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.
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    Cited by:

    1. Kaiser, Brooks A. & Burnett, Kimberly M., 2010. "Spatial economic analysis of early detection and rapid response strategies for an invasive species," Resource and Energy Economics, Elsevier, vol. 32(4), pages 566-585, November.
    2. Viteri Mejía, César & Brandt, Sylvia, 2015. "Managing tourism in the Galapagos Islands through price incentives: A choice experiment approach," Ecological Economics, Elsevier, vol. 117(C), pages 1-11.
    3. Frésard, Marjolaine & Ropars-Collet, Carole, 2014. "Sustainable harvest of a native species and control of an invasive species: A bioeconomic model of a commercial fishery invaded by a space competitor," Ecological Economics, Elsevier, vol. 106(C), pages 1-11.
    4. 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.
    5. Melstrom, Richard & Lupi, Frank, 2012. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," MPRA Paper 48036, University Library of Munich, Germany, revised May 2013.
    6. Homans, Frances & Horie, Tetsuya, 2011. "Optimal detection strategies for an established invasive pest," Ecological Economics, Elsevier, vol. 70(6), pages 1129-1138, April.
    7. Goodenberger, James S. & Klaiber, H. Allen, 2016. "Evading invasives: How Eurasian watermilfoil affects the development of lake properties," Ecological Economics, Elsevier, vol. 127(C), pages 173-184.

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