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Disparities in the analysis of morphological disparity

  • Thomas Guillerme
  • , Natalie Cooper
  • , Stephen L. Brusatte
  • , Katie E. Davis
  • , Andrew L. Jackson
  • , Sylvain Gerber
  • , Anjali Goswami
  • , Kevin Healy
  • , Melanie J. Hopkins
  • , Marc E.H. Jones
  • , Graeme T. Lloyd
  • , Joseph E. O'Reilly
  • , Abi Pate
  • , Mark N. Puttick
  • , Emily J. Rayfield
  • , Erin E. Saupe
  • , Emma Sherratt
  • , Graham J. Slater
  • , Vera Weisbecker
  • , Gavin H. Thomas
  • Philip C.J. Donoghue
  • University of Queensland
  • University of Sheffield
  • Natural History Museum London
  • University of Edinburgh
  • University of York
  • Trinity College Dublin
  • Sorbonne Université
  • American Museum of Natural History
  • University College London
  • University of Leeds
  • University of Bristol
  • Milner Centre for Evolution
  • University of Oxford
  • University of Adelaide
  • Department of the Geophysical Sciences, The University of Chicago
  • College of Science and Engineering

Research output: Contribution to a Journal (Peer & Non Peer)Review articlepeer-review

91 Citations (Scopus)

Abstract

Analyses of morphological disparity have been used to characterize and investigate the evolution of variation in the anatomy, function and ecology of organisms since the 1980s. While a diversity of methods have been employed, it is unclear whether they provide equivalent insights. Here, we review the most commonly used approaches for characterizing and analysing morphological disparity, all of which have associated limitations that, if ignored, can lead to misinterpretation. We propose best practice guidelines for disparity analyses, while noting that there can be no 'one-size-fits-all' approach. The available tools should always be used in the context of a specific biological question that will determine data and method selection at every stage of the analysis.

Original languageEnglish
Article number20200199
JournalBiology Letters
Volume16
Issue number7
DOIs
Publication statusPublished - Jul 2020

Keywords

  • disparity
  • ecology
  • morphology
  • multidimensionality
  • palaeobiology
  • variance/variation

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