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Biological control of invasive plant species: stochastic economic analysis

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  • Chalak-Haghighi, Morteza
  • Ruijs, Arjan
  • van Ierland, Ekko C.

Abstract

We analysed to what extent the stochastic effects of two biological control agents (i.e. weevils and mycoherbicides) affect the optimal choice of Californian thistle control. A stochastic, dynamic optimisation model was set up to analyse strategies that maximise the expected net present values. We analysed the cost-effective strategies to control the thistle for deterministic and stochastic cases. Results show that the stochasticity of the efficacy of weevils does not affect the optimal strategy. Compared to the deterministic case, however, mycoherbicides will be introduced at a higher level of weed density if we take the stochastic effect of mycoherbicides into account.

Suggested Citation

  • Chalak-Haghighi, Morteza & Ruijs, Arjan & van Ierland, Ekko C., 2009. "Biological control of invasive plant species: stochastic economic analysis," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48153, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare09:48153
    DOI: 10.22004/ag.econ.48153
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    References listed on IDEAS

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    3. 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.
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    6. Pandey, Sushil & Medd, R. W., 1991. "A stochastic dynamic programming framework for weed control decision making: an application to Avena fatua L," Agricultural Economics, Blackwell, vol. 6(2), pages 115-128, December.
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