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Metapopulation modelling and area-wide pest management strategies evaluation. An application to the Pine processionary moth

Author

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  • Gilioli, Gianni
  • Bodini, Antonella
  • Baumgärtner, Johann

Abstract

Forecasting pest population abundance is a time and resource consuming task, and in particular for area-wide pest management is complicated by demographic and environmental stochasticity. These factors make difficult the development of quantitative tools to design and evaluate different management strategies performances by taking into account various form of variability and uncertainty. Pest management could benefit from methods supporting decision making based on models ease of development under scarce data and high uncertainty. Host plants for many agricultural and forest pests are often patchily distributed, therefore population dynamics can be suitably described in terms of metapopulations. Despite the fact that metapopulation models were originally proposed for pests, they remain a widely used tool in conservation biology but receive little attention in large scale pest management.

Suggested Citation

  • Gilioli, Gianni & Bodini, Antonella & Baumgärtner, Johann, 2013. "Metapopulation modelling and area-wide pest management strategies evaluation. An application to the Pine processionary moth," Ecological Modelling, Elsevier, vol. 260(C), pages 1-10.
    • Handle: RePEc:eee:ecomod:v:260:y:2013:i:c:p:1-10
    DOI: 10.1016/j.ecolmodel.2013.03.020
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    Cited by:

    1. Neta, Ayana & Gafni, Roni & Elias, Hilit & Bar-Shmuel, Nitsan & Shaltiel-Harpaz, Liora & Morin, Efrat & Morin, Shai, 2021. "Decision support for pest management: Using field data for optimizing temperature-dependent population dynamics models," Ecological Modelling, Elsevier, vol. 440(C).
    2. Gilioli, Gianni & Pasquali, Sara & Marchesini, Enrico, 2016. "A modelling framework for pest population dynamics and management: An application to the grape berry moth," Ecological Modelling, Elsevier, vol. 320(C), pages 348-357.

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