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Cost of potential emerald ash borer damage in U.S. communities, 2009-2019

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  • Kovacs, Kent F.
  • Haight, Robert G.
  • McCullough, Deborah G.
  • Mercader, Rodrigo J.
  • Siegert, Nathan W.
  • Liebhold, Andrew M.

Abstract

Emerald ash borer (Agrilus planipennis Fairmaire), a phloem-feeding beetle native to Asia, was discovered near Detroit, Michigan and Windsor, Ontario in 2002. As of March 2009, isolated populations of emerald ash borer (EAB) have been detected in nine additional states and Quebec. EAB is a highly invasive forest pest that has the potential to spread and kill native ash trees (Fraxinus sp.) throughout the United States. We estimate the discounted cost of ash treatment, removal, and replacement on developed land within communities in a 25-state study area centered on Detroit using simulations of EAB spread and infestation over the next decade (2009-2019). An estimated 38Â million ash trees occur on this land base. The simulations predict an expanding EAB infestation that will likely encompass most of the 25 states and warrant treatment, removal, and replacement of more than 17Â million ash trees with mean discounted cost of $10.7Â billion. Expanding the land base to include developed land outside, as well as inside, communities nearly double the estimates of the number of ash trees treated or removed and replaced, and the associated cost. The estimates of discounted cost suggest that a substantial investment might be efficiently spent to slow the expansion of isolated EAB infestations and postpone the ultimate costs of ash treatment, removal, and replacement.

Suggested Citation

  • Kovacs, Kent F. & Haight, Robert G. & McCullough, Deborah G. & Mercader, Rodrigo J. & Siegert, Nathan W. & Liebhold, Andrew M., 2010. "Cost of potential emerald ash borer damage in U.S. communities, 2009-2019," Ecological Economics, Elsevier, vol. 69(3), pages 569-578, January.
  • Handle: RePEc:eee:ecolec:v:69:y:2010:i:3:p:569-578
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    1. Melina Kourantidou & Brooks A. Kaiser, 2019. "Research agendas for profitable invasive species," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 8(2), pages 209-230, April.
    2. Garrit Voggesser & Kathy Lynn & John Daigle & Frank Lake & Darren Ranco, 2013. "Cultural impacts to tribes from climate change influences on forests," Climatic Change, Springer, vol. 120(3), pages 615-626, October.
    3. Andrew R. Tilman & Robert G. Haight, 2023. "Public policy for management of forest pests within an ownership mosaic," Papers 2312.05403, arXiv.org.
    4. McDermott, Shana M. & Finnoff, David C. & Shogren, Jason F., 2013. "The welfare impacts of an invasive species: Endogenous vs. exogenous price models," Ecological Economics, Elsevier, vol. 85(C), pages 43-49.
    5. Jones, Benjamin A., 2016. "Work more and play less? Time use impacts of changing ecosystem services: The case of the invasive emerald ash borer," Ecological Economics, Elsevier, vol. 124(C), pages 49-58.
    6. Kovacs, Kent F. & Haight, Robert G. & Mercader, Rodrigo J. & McCullough, Deborah G., 2014. "A bioeconomic analysis of an emerald ash borer invasion of an urban forest with multiple jurisdictions," Resource and Energy Economics, Elsevier, vol. 36(1), pages 270-289.
    7. McDermott, Shana M. & Finnoff, David C., 2016. "Impact of repeated human introductions and the Allee effect on invasive species spread," Ecological Modelling, Elsevier, vol. 329(C), pages 100-111.
    8. İ. Esra Büyüktahtakın & Robert G. Haight, 2018. "A review of operations research models in invasive species management: state of the art, challenges, and future directions," Annals of Operations Research, Springer, vol. 271(2), pages 357-403, December.
    9. McDermott, Shana M. & Finnoff, David C. & Shogren, Jason F. & Kennedy, Chris J., 2021. "When does natural science uncertainty translate into economic uncertainty?," Ecological Economics, Elsevier, vol. 184(C).
    10. Liang Liang & Songlin Fei, 2014. "Divergence of the potential invasion range of emerald ash borer and its host distribution in North America under climate change," Climatic Change, Springer, vol. 122(4), pages 735-746, February.
    11. 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.
    12. Epanchin-Niell, Rebecca S. & Liebhold, Andrew M., 2015. "Benefits of invasion prevention: Effect of time lags, spread rates, and damage persistence," Ecological Economics, Elsevier, vol. 116(C), pages 146-153.
    13. Frank Jensen & Niels Vestergaard & Hans Frost, 1999. "Asymmetrisk information og regulering af forurening," Working Papers 1/99, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    14. Hope, Emily S. & McKenney, Daniel W. & Pedlar, John H. & Lawrence, Kevin & MacDonald, Heather, 2021. "Canadian efforts to slow the spread of Emerald Ash Borer (Agrilus planipennis Fairmaire) are economically efficient," Ecological Economics, Elsevier, vol. 188(C).
    15. Strutt, Anna & Turner, James A. & Haack, Robert A. & Olson, Lars, 2013. "Evaluating the impacts of an international phytosanitary standard for wood packaging material: Global and United States trade implications," Forest Policy and Economics, Elsevier, vol. 27(C), pages 54-64.
    16. Siriwardena, Shyamani D. & Cobourn, Kelly M. & Amacher, Gregory S. & Haight, Robert G., 2018. "Cooperative bargaining to manage invasive species in jurisdictions with public and private lands," Journal of Forest Economics, Elsevier, vol. 32(C), pages 72-83.
    17. Holmes, Thomas P. & Liebhold, Andrew M. & Kovacs, Kent F. & Von Holle, Betsy, 2010. "A spatial-dynamic value transfer model of economic losses from a biological invasion," Ecological Economics, Elsevier, vol. 70(1), pages 86-95, November.
    18. 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.

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