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On predicting species yields in multispecies communities: Quantifying the accuracy of the linear Lotka-Volterra generalized model

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  • Fort, Hugo

Abstract

The linear generalized Lotka–Volterra equations (LGLVE) constitute the simplest theoretical framework for ecological communities involving different kinds of interspecific interactions ―e.g. competition, facilitation. These equations have been often criticized as being too simple to model real systems.

Suggested Citation

  • Fort, Hugo, 2018. "On predicting species yields in multispecies communities: Quantifying the accuracy of the linear Lotka-Volterra generalized model," Ecological Modelling, Elsevier, vol. 387(C), pages 154-162.
    • Handle: RePEc:eee:ecomod:v:387:y:2018:i:c:p:154-162
    DOI: 10.1016/j.ecolmodel.2018.09.009
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    References listed on IDEAS

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    1. Fort, Hugo, 2018. "Quantitative predictions from competition theory with an incomplete knowledge of model parameters tested against experiments across diverse taxa," Ecological Modelling, Elsevier, vol. 368(C), pages 104-110.
    2. Jin Li, 2017. "Assessing the accuracy of predictive models for numerical data: Not r nor r2, why not? Then what?," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-16, August.
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    Cited by:

    1. Fort, Hugo & Grigera, Tomás S., 2021. "A method for predicting species trajectories tested with trees in barro colorado tropical forest," Ecological Modelling, Elsevier, vol. 446(C).
    2. Fort, Hugo, 2020. "Making quantitative predictions on the yield of a species immersed in a multispecies community: The focal species method," Ecological Modelling, Elsevier, vol. 430(C).
    3. AlAdwani, Mohammad & Saavedra, Serguei, 2022. "Feasibility conditions of ecological models: Unfolding links between model parameters," Ecological Modelling, Elsevier, vol. 466(C).

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