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Modeling competition between plants using an Individual Based Model: Methods and effects on the growth of two species with contrasted growth forms

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  • Bittebiere, A.-K.
  • Mony, C.
  • Clément, B.
  • Garbey, M.

Abstract

Individual Based Models are emergent modeling approaches that are developed on the behavior of interacting individuals to study ecosystems properties. Their relevance resides in the validity of the interaction rules between individuals defined in the model. Competitive interactions between plant individuals can be implemented from the combination of four main attributes: (i) the zone of interaction of the target plant, (ii) the intensity of competition, (iii) the effect of competition, and (iv) the target plant response. This study aims at determining the effects of the method used for modeling competition on the performance and individual architecture of two species. We simulated the growth of a guerilla and of a phalanx species either in monoculture or in mixture using 61 methods for modeling competition derived from the published literature and implemented in an Individual Based Model. We showed that (i) the performance and individual architecture of the two species varies with the modeling method, (ii) the effect of the modeling method on the model outputs depends on the species and on the assemblage considered. We subsequently emphasized the importance of accurately calibrating models in particular with experimental data. We finally proposed basic rules supported by literature to evaluate the relevance of the different methods tested.

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  • Bittebiere, A.-K. & Mony, C. & Clément, B. & Garbey, M., 2012. "Modeling competition between plants using an Individual Based Model: Methods and effects on the growth of two species with contrasted growth forms," Ecological Modelling, Elsevier, vol. 234(C), pages 38-50.
    • Handle: RePEc:eee:ecomod:v:234:y:2012:i:c:p:38-50
    DOI: 10.1016/j.ecolmodel.2011.05.028
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    References listed on IDEAS

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    1. Colasanti, R.L. & Hunt, R. & Watrud, L., 2007. "A simple cellular automaton model for high-level vegetation dynamics," Ecological Modelling, Elsevier, vol. 203(3), pages 363-374.
    2. Mony, C. & Garbey, M. & Smaoui, M. & Benot, M.-L., 2011. "Large scale parameter study of an individual-based model of clonal plant with volunteer computing," Ecological Modelling, Elsevier, vol. 222(4), pages 935-946.
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    4. Richards, M.L.A. & Aitkenhead, M.J. & McDonald, A.J.S., 2010. "Improving the effectiveness of angular dispersion in plant neighbourhood models," Ecological Modelling, Elsevier, vol. 221(13), pages 1649-1654.
    5. Wild, Jan & Winkler, Eckart, 2008. "Krummholz and grassland coexistence above the forest-line in the Krkonoše Mountains: Grid-based model of shrub dynamics," Ecological Modelling, Elsevier, vol. 213(3), pages 293-307.
    6. Bithell, M. & Macmillan, W.D., 2007. "Escape from the cell: Spatially explicit modelling with and without grids," Ecological Modelling, Elsevier, vol. 200(1), pages 59-78.
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    1. Winkler, Eckart & Peintinger, Markus, 2014. "Impact of changing flood regime on a lakeshore plant community: Long-term observations and individual-based simulation," Ecological Modelling, Elsevier, vol. 273(C), pages 151-164.
    2. Oborny, B. & Mony, C. & Herben, T., 2012. "From virtual plants to real communities: A review of modelling clonal growth," Ecological Modelling, Elsevier, vol. 234(C), pages 3-19.
    3. Tang, Yi & Liu, Mingyu & Sun, Zhanli, 2020. "Indirect effects of grazing on wind-dispersed elm seeds in sparse woodlands of Northern China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(12).

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