Testing similarity coefficients for analysis of the fossil record using clustering methods: The Palaeozoic flora as a study case

Cascales - Miñana, Borja

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Cascales - Miñana, Borja

2010 • In Revista Espanola de Paleontologia, 25 (1), p. 19-34

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Keywords :

Evolutionary innovations; Extinction processes; Fossil record; Multivariate analysis; Palaeozoic; Similarity

Abstract :

[en] This paper reports a global methodological approach based on the similarity and clustering methods of the Palaeozoic plant fossil record using a comparative approach between two similarity measures: the Jaccard and Raup-Crick Coeffcients. The results show that although the Raup-Crick Coeffcients clearly have the potential for providing more robust results, the consequences of the extinction processes are better refected in the similarity analysis based on the Jaccard Coeffcients. On the other hand, the cluster analysis based on UPGMA algorithm shows four robust clusters and reveals new evidence for the singularity of Mississippian fora. Finally, the results obtained reveal that similarity and cluster analysis are powerful tools to interpret the consequence of the processes modifying the taxonomic composition of the several analyzed Palaeozoic time units.

Disciplines :

Life sciences: Multidisciplinary, general & others

Author, co-author :

Cascales - Miñana, Borja ; Department of Plant Biology, University of Valencia, Av Vicente Andres Estelles s/n, 46100 Burjassot, Valencia, Spain

Language :

English

Title :

Testing similarity coefficients for analysis of the fossil record using clustering methods: The Palaeozoic flora as a study case

Publication date :

2010

Journal title :

Revista Espanola de Paleontologia

ISSN :

0213-6937

Publisher :

Sociedad Española de Paleontologia, Spain

Volume :

Issue :

Pages :

19-34

Peer reviewed :

Peer reviewed

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since 08 January 2015

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