Evaluating the use of pairwise dissimilarity metrics in paleoanthropology. 2013

Adam D Gordon, and Bernard Wood
Department of Anthropology, CAS 237, University at Albany-SUNY, 1400 Washington Ave., Albany, NY 12222, USA. Electronic address: agordon@albany.edu.

Questions of alpha taxonomy are best addressed by comparing unknown specimens to samples of the taxa to which they might belong. However, analysis of the hominin fossil record is riddled with methods that claim to evaluate whether pairs of individual fossils belong to the same species. Two such methods, log sem and the related STET method, have been introduced and used in studies of fossil hominins. Both methods attempt to quantify morphological dissimilarity for a pair of fossils and then evaluate a null hypothesis of conspecificity using the assumption that pairs of fossils that fall beneath a predefined dissimilarity threshold are likely to belong to the same species, whereas pairs of fossils above that threshold are likely to belong to different species. In this contribution, we address (1) whether these particular methods do what they claim to do, and (2) whether such approaches can ever reliably address the question of conspecificity. We show that log sem and STET do not reliably measure deviations from shape similarity, and that values of these measures for any pair of fossils are highly dependent upon the number of variables compared. To address these issues we develop a measure of shape dissimilarity, the Standard Deviation of Logged Ratios (sLR). We suggest that while pairwise dissimilarity metrics that accurately measure deviations from isometry (e.g., sLR) may be useful for addressing some questions that relate to morphological variation, no pairwise method can reliably answer the question of whether two fossils are conspecific.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D010163 Paleontology The study of early forms of life through fossil remains. Archaeoparasitology,Paleoparasitology,Taphonomy
D005580 Fossils Remains, impressions, or traces of animals or plants of past geological times which have been preserved in the earth's crust. Fossil
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D015186 Hominidae Family of the suborder HAPLORHINI (Anthropoidea) comprising bipedal primate MAMMALS. It includes modern man (HOMO SAPIENS) and the great apes: gorillas (GORILLA GORILLA), chimpanzees (PAN PANISCUS and PAN TROGLODYTES), and orangutans (PONGO PYGMAEUS). Apes,Hominids,Hominins,Homo,Hominini,Pongidae,Ape,Hominid,Hominin,Homininus

Related Publications

Adam D Gordon, and Bernard Wood
November 2019, Briefings in bioinformatics,
Adam D Gordon, and Bernard Wood
November 1998, Annals of the New York Academy of Sciences,
Adam D Gordon, and Bernard Wood
September 2021, JAC-antimicrobial resistance,
Adam D Gordon, and Bernard Wood
January 2022, Frontiers in veterinary science,
Adam D Gordon, and Bernard Wood
October 2016, Ecology and evolution,
Adam D Gordon, and Bernard Wood
January 2021, Social network analysis and mining,
Adam D Gordon, and Bernard Wood
February 2018, The British journal of radiology,
Adam D Gordon, and Bernard Wood
April 2015, JAMA internal medicine,
Copied contents to your clipboard!