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Species coexistence through simultaneous fluctuation-dependent mechanisms.

Andrew D Letten1,2, Manpreet K Dhami3,4, Po-Ju Ke3

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Summary

Environmental fluctuations drive species coexistence through two key mechanisms: the temporal storage effect and relative nonlinearity of competition. This study demonstrates that relative nonlinearity is crucial, often equal to or greater than the storage effect, for maintaining biodiversity.

Keywords:
coexistenceenvironmental variabilityrelative nonlinearityresource competitionstorage effect

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Theoretical Biology

Background:

  • Biodiversity maintenance is a central challenge in biology.
  • Environmental variability is theorized to promote species coexistence.
  • Experimental evidence for fluctuation-driven coexistence is limited, often neglecting relative nonlinearity of competition.

Purpose of the Study:

  • To experimentally quantify the relative contributions of the temporal storage effect and relative nonlinearity of competition to species coexistence.
  • To test the importance of relative nonlinearity, a mechanism often overlooked in empirical studies.
  • To investigate the interplay between these two coexistence mechanisms.

Main Methods:

  • Utilized a nectar yeast system for experimental investigation.
  • Combined laboratory experiments with computational simulations.
  • Developed resource competition models parameterized from single-species assays.

Main Results:

  • Resource competition models accurately predicted mixed-culture outcomes (83% accuracy).
  • Both temporal storage effect and relative nonlinearity were found to significantly impact species coexistence.
  • Relative nonlinearity's contribution to coexistence was equal to or greater than the temporal storage effect.

Conclusions:

  • Challenges the assumption that relative nonlinearity is negligible in species coexistence.
  • Highlights the importance of considering both temporal storage effect and relative nonlinearity in combination.
  • Provides empirical support for the role of relative nonlinearity in maintaining biodiversity under fluctuating conditions.