From Observations to Optimal Phylogenetic Trees

Phylogenetic Analysis of Morphological Data: Volume 1

By: Pablo A. Goloboff

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Paperback | 26 August 2024 | Edition Number 1

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300 Pages

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23.4 x 15.6 x 1.6

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Taxonomists specializing in different groups once based phylogenetic analysis only on morphological data; molecular data was used more rarely. Although molecular systematics is routine today, the use of morphological data continues to be important, especially for phylogenetic placement of many taxa known only from fossils and rare or difficult to collect species. In addition, morphological analyses help identify potential biases in molecular analyses. And finally, scenarios with respect to morphology continue to motivate biologists: the beauty of a cheetah or a baobab does not lie in their DNA sequence, but instead on what they are and do! This book is an up-to-date revision of methods and principles of phylogenetic analysis of morphological data. It is also a general guide for using the computer program TNT in the analysis of such data. The book covers the main aspects of phylogenetic analysis and general methods to compare classifications derived from molecules and morphology. The basic aspects of molecular analysis are covered only as needed to highlight the differences with methods and assumptions for analysis of morphological datasets.

Industry Reviews

"There is no question that Goloboff provides a rigorous, logical and analytically sound framework for analyzing data - probably the most carefully considered rationale that has ever been published for phylogenetics of any kind of data ... "

- Andrew Brower, Assistant Director at USDA Animal and Plant Health Inspection Service (APHIS)

"... this book is focused on phylogenetic analyses based on morphological date [and] paleontologists will find its content particularly useful. ... provide[s] both researchers and students alike with the theoretical bases and tools for the correct building of robust phylogenetic data matrices, their analysis, and subsequent interpretation. [this book] will become a 'must-read' ..."

- M. D.Ezcurra in Ameghiniana, 2024, vol 61 (1).

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