bioRxivEcologyPreprint
To remain modern, the coexistence program requires modern statistical rigor
Abstract
A recent study by Van Dyke et al.1 paired experimental drought manipulations with demographic models and trait measurements to project major shifts in coexistence among a number of annual plant taxa. However, re-analysis of the data under alternative, more predictive competition models reveals that the authors original conclusions are very sensitive to slight variations in model form. Furthermore, propagating model parameter error into coexistence predictions results in relatively weak support for the majority of coexistence shifts predicted by the authors original model. These results highlight the need for increased statistical rigor when treating binary predictions of species coexistence as observed experimental outcomes, as is commonly practiced in empirical coexistence studies.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Environmental context, parameter sensitivity and structural sensitivity impact predictions of annual-plant coexistence
A. Cervantes-Loreto, A. I. Pastore, … D. B. Stouffer·bioRxiv·Feb 13, 2023
- Widespread analytical pitfalls in empirical coexistence studies and a checklist for improving their statistical robustness
C. D. Terry, D. W. Armitage·bioRxiv·Jul 4, 2023
- Does deterministic coexistence theory matter in a finite world?
S. Schreiber, J. M. Levine, … S. Hart·EcologyPeer-reviewed·Sep 27, 2022
- An experimental validation test of ecological coexistence theory to forecast extinction under rising temperatures.
C. Terry·bioRxiv·Feb 22, 2024
- Different methods for niche and fitness differences computation offer contrasting explanations of species coexistence
J. W. Spaak, P.-J. Ke, … F. De Laender·bioRxiv·Sep 28, 2021
- An Empiricist’s Guide to Modern Coexistence Theory for Competitive Communities
C. M. Godwin, F.-H. Chang, B. Cardinale·bioRxiv·May 17, 2019