On predicting species yields in multispecies communities: Quantifying the accuracy of the linear Lotka-Volterra generalized model
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DOI: 10.1016/j.ecolmodel.2018.09.009
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References listed on IDEAS
- 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.
- 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.
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Cited by:
- 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).
- 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).
- 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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Keywords
Prediction of species abundances; Generalized Lotka-Volterra model; Quantitative ecology; Community matrix; Accuracy indices; Community ecology;All these keywords.
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