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Giant taxon-character matrices: the future of morphological systematics.
Laing, Adam M; Doyle, Sharon; Gold, Maria Eugenia Leone; Nesbitt, Sterling J; O'Leary, Maureen A; Turner, Alan H; Wilberg, Eric W; Poole, Karen E.
Afiliação
  • Laing AM; Department of Anatomical Sciences, HSC T-8 (040), Stony Brook University, Stony Brook, NY, 11794-8081, USA.
  • Doyle S; Interdepartmental Doctoral Program in Anthropological Sciences, Social and Behavioral Sciences Building, Stony Brook University, Stony Brook, NY, 11794-4364, USA.
  • Gold MEL; Department of Anatomical Sciences, HSC T-8 (040), Stony Brook University, Stony Brook, NY, 11794-8081, USA.
  • Nesbitt SJ; Department of Geosciences, Derring Hall, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
  • O'Leary MA; Department of Anatomical Sciences, HSC T-8 (040), Stony Brook University, Stony Brook, NY, 11794-8081, USA.
  • Turner AH; Department of Anatomical Sciences, HSC T-8 (040), Stony Brook University, Stony Brook, NY, 11794-8081, USA.
  • Wilberg EW; Department of Anatomical Sciences, HSC T-8 (040), Stony Brook University, Stony Brook, NY, 11794-8081, USA.
  • Poole KE; Department of Anatomical Sciences, HSC T-8 (040), Stony Brook University, Stony Brook, NY, 11794-8081, USA.
Cladistics ; 34(3): 333-335, 2018 Jun.
Article em En | MEDLINE | ID: mdl-34645074
ABSTRACT
Simões et al. () argued that large matrices are linked to the construction of "problematic" characters, and that those characters negatively affect tree topology. In their re-evaluation of two squamate datasets, however, Simões et al. () simply eliminated what they termed "problematic" characters, rather than recode them. This practice ignores potential sources of phylogenetic information and, if it were to be more widely followed, would inhibit the advancement of the field of systematics. Here, we defend the necessity and inevitability of large morphological (phenomic) datasets and discuss best practices for morphological data collection in contemporary phylogenetics.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2018 Tipo de documento: Article