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Phenotypic dissimilarity index: Correcting for intra- and interindividual variability when quantifying phenotypic

Giacomo Puglielli1, Carlos P Carmona2, Laura Varone3

  • 1Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia.

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|July 6, 2022
PubMed
Summary

A new phenotypic dissimilarity (PhD) index quantifies trait variation within and between populations. This ecological tool accounts for individual variability, offering a more accurate measure of phenotypic variation (PVar) across environments.

Keywords:
functional traitinterindividual trait variabilityintraindividual trait variabilityintraspecific trait variabilityphenotypic plasticityphenotypic plasticity indexphenotypic variation

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Quantitative Genetics

Background:

  • Phenotypic variation (PVar) is crucial in trait-based ecology.
  • Existing PVar measures often ignore within-population variability and cannot be partitioned.
  • This limits their interpretation and applicability in ecological studies.

Purpose of the Study:

  • Introduce a new metric, the phenotypic dissimilarity (PhD) index.
  • Quantify PVar between and within populations, accounting for interindividual variability.
  • Provide a robust tool for ecological research on phenotypic responses.

Main Methods:

  • Developed the phenotypic dissimilarity (PhD) index.
  • Utilized simulated and real ecological data for validation.
  • Implemented the PhD index calculation in an R function.

Main Results:

  • The PhD index accurately quantifies PVar, including within-population variability.
  • It avoids overestimating PVar across environmental gradients compared to other methods.
  • Demonstrated the importance of accounting for within-population trait variability.

Conclusions:

  • The PhD index offers a superior method for quantifying PVar in ecological contexts.
  • It enhances understanding of species' phenotypic plasticity and adaptation.
  • Provides ecologists with a versatile tool for comparative studies across biological levels.