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Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness

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  • Moulin, Thibault
  • Perasso, Antoine
  • Gillet, François

Abstract

In mathematical grassland models, plant communities may be represented by a various number of state variables, describing biomass compartments of some dominant species or plant functional types. The size of the initial species pool could have consequences on the outcome of the simulated ecosystem dynamics in terms of grassland productivity, diversity, and stability. This choice could also influence the model sensitivity to forcing parameters.

Suggested Citation

  • Moulin, Thibault & Perasso, Antoine & Gillet, François, 2018. "Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness," Ecological Modelling, Elsevier, vol. 374(C), pages 22-36.
    • Handle: RePEc:eee:ecomod:v:374:y:2018:i:c:p:22-36
    DOI: 10.1016/j.ecolmodel.2018.02.013
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    References listed on IDEAS

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    Cited by:

    1. Schmid, Julia S. & Huth, Andreas & Taubert, Franziska, 2021. "Influences of traits and processes on productivity and functional composition in grasslands: A modeling study," Ecological Modelling, Elsevier, vol. 440(C).
    2. Hetzer, Jessica & Huth, Andreas & Taubert, Franziska, 2021. "The importance of plant trait variability in grasslands: a modelling study," Ecological Modelling, Elsevier, vol. 453(C).
    3. Moulin, Thibault & Perasso, Antoine & Calanca, Pierluigi & Gillet, François, 2021. "DynaGraM: A process-based model to simulate multi-species plant community dynamics in managed grasslands," Ecological Modelling, Elsevier, vol. 439(C).

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