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Modelling the overwintering strategy of a beneficial insect in a heterogeneous landscape using a multi-agent system

Author

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  • Arrignon, Florent
  • Deconchat, Marc
  • Sarthou, Jean-Pierre
  • Balent, Gérard
  • Monteil, Claude

Abstract

A better knowledge of the foraging ecology of predator insect species that feed on crop pests is of primary importance to improve their beneficial influence for agriculture and for the environment. Multi-agent models are an efficient tool in this respect since they can cope with the complex processes involved in individual behaviour in a heterogeneous space. We applied this method to model the behaviour of Episyrphus balteatus (De Geer, 1776), a helpful species of Syrphidae (Insecta, Diptera) which can overwinter as fertilized adult females and whose larvae feed on aphids occurring on both natural vegetation and crops. The “Hover-Winter” model focuses on the winter dynamics of an E. balteatus population at the landscape scale. Each individual is modelled as an autonomous agent who behaves according to a set of rules for foraging in the landscape, feeding on flowers, sheltering in forest edges and dying, constrained by climate and land cover. The model was developed from data in the literature, expert knowledge and field measurements. This paper presents the structure of the model, the definition of its parameters, the sensitivity of the model to their accuracy and its main outputs. Hover-winter is the first individual based model for E. balteatus and its preliminary results show that it helps to understand how E. balteatus uses agricultural landscapes to survive the winter.

Suggested Citation

  • Arrignon, Florent & Deconchat, Marc & Sarthou, Jean-Pierre & Balent, Gérard & Monteil, Claude, 2007. "Modelling the overwintering strategy of a beneficial insect in a heterogeneous landscape using a multi-agent system," Ecological Modelling, Elsevier, vol. 205(3), pages 423-436.
    • Handle: RePEc:eee:ecomod:v:205:y:2007:i:3:p:423-436
    DOI: 10.1016/j.ecolmodel.2007.03.006
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    Cited by:

    1. Liukkonen, Lauri & Ayllón, Daniel & Kunnasranta, Mervi & Niemi, Marja & Nabe-Nielsen, Jacob & Grimm, Volker & Nyman, Anna-Maija, 2018. "Modelling movements of Saimaa ringed seals using an individual-based approach," Ecological Modelling, Elsevier, vol. 368(C), pages 321-335.
    2. Haythorne, Sean & Skabar, Andrew, 2013. "An improved pattern-guided evolution approach for the development of adaptive individual-based ecological models," Ecological Modelling, Elsevier, vol. 252(C), pages 72-82.
    3. Collard, B. & Tixier, P. & Carval, D. & Lavigne, C. & Delattre, T., 2018. "Spatial organisation of habitats in agricultural plots affects per-capita predator effect on conservation biological control: An individual based modelling study," Ecological Modelling, Elsevier, vol. 388(C), pages 124-135.
    4. Vinatier, Fabrice & Tixier, Philippe & Le Page, Christophe & Duyck, Pierre-François & Lescourret, Françoise, 2009. "COSMOS, a spatially explicit model to simulate the epidemiology of Cosmopolites sordidus in banana fields," Ecological Modelling, Elsevier, vol. 220(18), pages 2244-2254.
    5. Dupont, H. & Mihoub, J.B. & Becu, N. & Sarrazin, F., 2011. "Modelling interactions between scavenger behaviour and farming practices: Impacts on scavenger population and ecosystem service efficiency," Ecological Modelling, Elsevier, vol. 222(4), pages 982-992.

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