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

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

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.

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Article provided by Elsevier in its journal Ecological Economics.

Volume (Year): 70 (2011)
Issue (Month): 11 (September)
Pages: 2050-2061

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Handle: RePEc:eee:ecolec:v:70:y:2011:i:11:p:2050-2061
Contact details of provider: Web page: http://www.elsevier.com/locate/ecolecon

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  1. Christopher Moore & Daniel Phaneuf & Walter Thurman, 2011. "A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 50(1), pages 1-26, September.
  2. Christopher Costello & Stephen Polasky & Andrew Solow, 2001. "Renewable resource management with environmental prediction," Canadian Journal of Economics, Canadian Economics Association, vol. 34(1), pages 196-211, February.
  3. Sethi, Gautam & Costello, Christopher & Fisher, Anthony C. & Hanemann, W. Michael & Karp, Larry, 2004. "Fishery Management Under Multiple Uncertainty," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8122f9d2, Department of Agricultural & Resource Economics, UC Berkeley.
  4. Sabrina J. Lovell & Susan F. Stone, 2005. "The Economic Impacts of Aquatic Invasive Species: A Review of the Literature," NCEE Working Paper Series 200502, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Jan 2005.
  5. Olson, Lars J., 2006. "The Economics of Terrestrial Invasive Species: A Review of the Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(1), April.
  6. Harper, Carolyn R., 1991. "Predator-Prey Systems In Pest Management," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 20(1), April.
  7. Clark, Colin W. & Kirkwood, Geoffrey P., 1986. "On uncertain renewable resource stocks: Optimal harvest policies and the value of stock surveys," Journal of Environmental Economics and Management, Elsevier, vol. 13(3), pages 235-244, September.
  8. Lars J. Olson & Santanu Roy, 2002. "The Economics of Controlling a Stochastic Biological Invasion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1311-1316.
  9. Koji Kotani & Makoto Kakinaka & Hiroyuki Matsuda, 2006. "Dynamic Economic Analysis on Invasive Species Management: Some Policy Implications of Catchability," Working Papers EMS_2006_16, Research Institute, International University of Japan.
  10. Olson, Lars J. & Roy, Santanu, 2003. "The Economics Of Controlling A Biological Invasion," Working Papers 28591, University of Maryland, Department of Agricultural and Resource Economics.
  11. Mark Eiswerth & Wayne Johnson, 2002. "Managing Nonindigenous Invasive Species: Insights from Dynamic Analysis," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(3), pages 319-342, November.
  12. Saphores, Jean-Daniel M. & Shogren, Jason F., 2005. "Managing exotic pests under uncertainty: optimal control actions and bioeconomic investigations," Ecological Economics, Elsevier, vol. 52(3), pages 327-339, February.
  13. Jean-Daniel M. Saphores, 2000. "The Economic Threshold with a Stochastic Pest Population: A Real Options Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 541-555.
  14. Lars Olson & Santanu Roy, 2008. "Controlling a biological invasion: a non-classical dynamic economic model," Economic Theory, Springer, vol. 36(3), pages 453-469, September.
  15. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, June.
  16. Higgins, Steven I. & Azorin, Esteban J. & Cowling, Richard M. & Morris, Mike J., 1997. "A dynamic ecological-economic model as a tool for conflict resolution in an invasive-alien-plant, biological control and native-plant scenario," Ecological Economics, Elsevier, vol. 22(2), pages 141-154, August.
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