PLoS Computational Biology (Jul 2020)

Emergent neutrality in consumer-resource dynamics.

  • Rafael D'Andrea,
  • Theo Gibbs,
  • James P O'Dwyer

DOI
https://doi.org/10.1371/journal.pcbi.1008102
Journal volume & issue
Vol. 16, no. 7
p. e1008102

Abstract

Read online

Neutral theory assumes all species and individuals in a community are ecologically equivalent. This controversial hypothesis has been tested across many taxonomic groups and environmental contexts, and successfully predicts species abundance distributions across multiple high-diversity communities. However, it has been critiqued for its failure to predict a broader range of community properties, particularly regarding community dynamics from generational to geological timescales. Moreover, it is unclear whether neutrality can ever be a true description of a community given the ubiquity of interspecific differences, which presumably lead to ecological inequivalences. Here we derive analytical predictions for when and why non-neutral communities of consumers and resources may present neutral-like outcomes, which we verify using numerical simulations. Our results, which span both static and dynamical community properties, demonstrate the limitations of summarizing distributions to detect non-neutrality, and provide a potential explanation for the successes of neutral theory as a description of macroecological pattern.