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Incorporating natural enemies in an economic threshold for dynamically optimal pest management

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  • Zhang, Wei
  • Swinton, Scott M.

Abstract

The control of pests by their natural enemies represents an important regulating ecosystem service that helps maintain the stability of crop ecosystems. These services, however, are often ignored in pest management decision making. In addition, the use of broad-spectrum insecticides can damage the populations of natural enemies, reducing the cost-effectiveness of insecticide investment if unaccounted for in treatment decisions.

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  • Zhang, Wei & Swinton, Scott M., 2009. "Incorporating natural enemies in an economic threshold for dynamically optimal pest management," Ecological Modelling, Elsevier, vol. 220(9), pages 1315-1324.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:9:p:1315-1324
    DOI: 10.1016/j.ecolmodel.2009.01.027
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    6. Vasileiadis, V.P. & Sattin, M. & Otto, S. & Veres, A. & Pálinkás, Z. & Ban, R. & Pons, X. & Kudsk, P. & van der Weide, R. & Czembor, E. & Moonen, A.C. & Kiss, J., 2011. "Crop protection in European maize-based cropping systems: Current practices and recommendations for innovative Integrated Pest Management," Agricultural Systems, Elsevier, vol. 104(7), pages 533-540, September.
    7. Yun, Seong Do & Gramig, Benjamin M., 2014. "Dynamic Optimization of Ecosystem Services: A Comparative Analysis of Non-Spatial and Spatially-Explicit Models," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170450, Agricultural and Applied Economics Association.
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    11. James Rudolph Miksanek & George E Heimpel, 2019. "A matrix model describing host–parasitoid population dynamics: The case of Aphelinus certus and soybean aphid," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-20, June.
    12. Lu, Liang & Elbakidze, Levan, 2012. "Application of Comparative Dynamics in Stochastic Invasive Species Management in Agricultural Production," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125226, Agricultural and Applied Economics Association.
    13. Grogan, Kelly A., 2014. "When ignorance is not bliss: Pest control decisions involving beneficial insects," Ecological Economics, Elsevier, vol. 107(C), pages 104-113.
    14. Yun, Seong Do & Gramig, Benjamin M., 2013. "Spatially Explicit Dynamically Optimal Provision of Ecosystem Services: An Application to Biological Control of Soybean Aphid," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150744, Agricultural and Applied Economics Association.
    15. Thakur, Tiesta & Hurley, Terrance M., 2017. "Can Remote Sensing Improve the Profitability and Reduce the Risk of Integrated Pest Management for Soybean Aphid Control?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258122, Agricultural and Applied Economics Association.
    16. Lu, Liang & Elbakidze, Levan, 2011. "Weather Forecast Based Conditional Pest Management: A Stochastic Optimal Control Investigation," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103655, Agricultural and Applied Economics Association.
    17. Liu, Yangxuan & Small, Ian & Langemeier, Michael & Gramig, Benjamin & Preckel, Paul & Joseph, Laura & Wu, Yuanhan & Fry, William, 2016. "Evaluating economic threshold for dynamically optimal disease management," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236018, Agricultural and Applied Economics Association.
    18. Thakur, Tiesta & Hurley, Terrance M., 2020. "Will Farmers adopt Remote Sensing for Soybean Aphid Management? An Economic Perspective," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304267, Agricultural and Applied Economics Association.

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