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A Bioeconomic Simulation Approach To Multi-Species Insect Management

Author

Listed:
  • Boggess, William G.
  • Cardelli, Dino J.
  • Barfield, C.S.

Abstract

Classical approaches to the economics of pest management have focused almost exclusively on single-species models. This study develops and implements a methodology with which to evaluate multi-species, non-stochastic, managerial decisions subject to stochastic elements of the plant-insect system. Multi-species insect management strategies (combinations of scouting interval, threshold value, and choice of pesticide) are analyzed using a physiological mechanistic soybean plant growth model coupled to three insect population dynamics models. Preliminary results indicate that net returns are maximized and variance is reduced with lower thresholds and more frequent scouting than current recommendations.

Suggested Citation

  • Boggess, William G. & Cardelli, Dino J. & Barfield, C.S., 1985. "A Bioeconomic Simulation Approach To Multi-Species Insect Management," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(02), December.
  • Handle: RePEc:ags:sojoae:29987
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    File URL: http://purl.umn.edu/29987
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    References listed on IDEAS

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    1. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
    2. Katherine H. Reichelderfer & Filmore E. Bender, 1979. "Application of a Simulative Approach to Evaluating Alternative Methods for the Control of Agricultural Pests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 258-267.
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    Cited by:

    1. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October.
    2. Featherstone, Allen M. & Osunsan, Adeyinka W. & Biere, Arlo, 1992. "A Risk Analysis of Alternative Crop and Irrigation Strategies Using Biophysical Simulations," Occasional Paper Series No. 6 197739, International Association of Agricultural Economists.
    3. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 17(1), October.
    4. Wegener, Malcolm Keith, 1995. "Modelling studies in the Australian sugar industry," Dissertations-Doctoral 253208, AgEcon Search.
    5. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    6. Just, David R. & Wang, Shenghui & Pinstrup-Andersen, Per, 2006. "Tarnishing Silver Bullets: Bt Technology Adoption, Bounded Rationality and the Outbreak of Secondary Pest Infestations in China," 2006 Annual meeting, July 23-26, Long Beach, CA 21230, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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    Keywords

    Crop Production/Industries;

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