Literature DB >> 32220106

Modern morphometrics and the study of population differences: Good data behind clever analyses and cool pictures?

Andrea Cardini1,2.   

Abstract

The study of phenotypic variation in time and space is central to evolutionary biology. Modern geometric morphometrics is the leading family of methods for the quantitative analysis of biological forms. This set of techniques relies heavily on technological innovation for data acquisition, often in the form of 2D or 3D digital images, and on powerful multivariate statistical tools for their analysis. However, neither the most sophisticated device for computerized imaging nor the best statistical test can produce accurate, robust and reproducible results, if it is not based on really good samples and an appropriate use of the 'measurements' extracted from the data. Using examples mostly from my own work on mammal craniofacial variation and museum specimens, I will show how easy it is to forget these most basic assumptions, while focusing heavily on analytical and visualization methods, and much less on the data that generate potentially powerful analyses and visually appealing diagrams.
© 2020 American Association for Anatomy.

Keywords:  geographic variation; island population; museum data; sampling error; shape coordinates

Mesh:

Year:  2020        PMID: 32220106     DOI: 10.1002/ar.24397

Source DB:  PubMed          Journal:  Anat Rec (Hoboken)        ISSN: 1932-8486            Impact factor:   2.064


  3 in total

1.  Can morphotaxa be assessed with photographs? Estimating the accuracy of two-dimensional cranial geometric morphometrics for the study of threatened populations of African monkeys.

Authors:  Andrea Cardini; Yvonne A de Jong; Thomas M Butynski
Journal:  Anat Rec (Hoboken)       Date:  2021-11-02       Impact factor: 2.227

2.  Optimizing digitalization effort in morphometrics.

Authors:  Allowen Evin; Vincent Bonhomme; Julien Claude
Journal:  Biol Methods Protoc       Date:  2020-11-16

3.  Testing the occurrence of convergence in the craniomandibular shape evolution of living carnivorans.

Authors:  Davide Tamagnini; Carlo Meloro; Pasquale Raia; Luigi Maiorano
Journal:  Evolution       Date:  2021-05-07       Impact factor: 3.694

  3 in total

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