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Linking pesticide exposure and spatial dynamics: An individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes

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  • Liu, Chun
  • Sibly, Richard M.
  • Grimm, Volker
  • Thorbek, Pernille

Abstract

The wood mouse is a common and abundant species in agricultural landscape and is a focal species in pesticide risk assessment. Empirical studies on the ecology of the wood mouse have provided sufficient information for the species to be modelled mechanistically. An individual-based model was constructed to explicitly represent the locations and movement patterns of individual mice. This together with the schedule of pesticide application allows prediction of the risk to the population from pesticide exposure. The model included life-history traits of wood mice as well as typical landscape dynamics in agricultural farmland in the UK. The model obtains a good fit to the available population data and is fit for risk assessment purposes. It can help identify spatio-temporal situations with the largest potential risk of exposure and enables extrapolation from individual-level endpoints to population-level effects. Largest risk of exposure to pesticides was found when good crop growth in the “sink” fields coincided with high “source” population densities in the hedgerows.

Suggested Citation

  • Liu, Chun & Sibly, Richard M. & Grimm, Volker & Thorbek, Pernille, 2013. "Linking pesticide exposure and spatial dynamics: An individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes," Ecological Modelling, Elsevier, vol. 248(C), pages 92-102.
    • Handle: RePEc:eee:ecomod:v:248:y:2013:i:c:p:92-102
    DOI: 10.1016/j.ecolmodel.2012.09.016
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    References listed on IDEAS

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    1. Wang, Magnus & Grimm, Volker, 2007. "Home range dynamics and population regulation: An individual-based model of the common shrew Sorex araneus," Ecological Modelling, Elsevier, vol. 205(3), pages 397-409.
    2. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    Cited by:

    1. Grimm, Volker & Augusiak, Jacqueline & Focks, Andreas & Frank, Béatrice M. & Gabsi, Faten & Johnston, Alice S.A. & Liu, Chun & Martin, Benjamin T. & Meli, Mattia & Radchuk, Viktoriia & Thorbek, Pernil, 2014. "Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE," Ecological Modelling, Elsevier, vol. 280(C), pages 129-139.
    2. van der Vaart, Elske & Johnston, Alice S.A. & Sibly, Richard M., 2016. "Predicting how many animals will be where: How to build, calibrate and evaluate individual-based models," Ecological Modelling, Elsevier, vol. 326(C), pages 113-123.
    3. Carter, Neil & Levin, Simon & Barlow, Adam & Grimm, Volker, 2015. "Modeling tiger population and territory dynamics using an agent-based approach," Ecological Modelling, Elsevier, vol. 312(C), pages 347-362.
    4. 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.
    5. Liu, Chun & Bednarska, Agnieszka J. & Sibly, Richard M. & Murfitt, Roger C. & Edwards, Peter & Thorbek, Pernille, 2014. "Incorporating toxicokinetics into an individual-based model for more realistic pesticide exposure estimates: A case study of the wood mouse," Ecological Modelling, Elsevier, vol. 280(C), pages 30-39.
    6. Kreig, Jasmine A.F. & Lenhart, Suzanne & Ponce, Eduardo & Jager, Henriette I., 2024. "Agent-based modeling to evaluate the effects of harvesting biomass and hunting on ring-necked pheasant (Phasianus colchicus) populations," Ecological Modelling, Elsevier, vol. 492(C).

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