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16 - The evolution of primate ecology: patterns of geography and phylogeny

Published online by Cambridge University Press:  10 August 2009

John G. Fleagle
Affiliation:
Department of Anatomical Sciences, School of Medicine, Health Sciences Center, Stony Brook University, Stony Brook, NY 11794–8081, USA
Kaye E. Reed
Affiliation:
Institute of Human Origins, Department of Anthropology, Arizona State University, Box 874101, Tempe, AZ, 85287-4101, USA
Fred Anapol
Affiliation:
University of Wisconsin, Milwaukee
Rebecca Z. German
Affiliation:
University of Cincinnati
Nina G. Jablonski
Affiliation:
California Academy of Sciences, San Francisco
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Summary

Introduction

Over four decades, Charles Oxnard has been a relentless pioneer in expanding the quantitative horizons of research in primate and human evolution. His many works using multivariate analyses to elucidate and amplify our understanding of the primate shoulder, the primate foot, primate locomotion, prosimians, primate limb proportions, and the relationships of early hominids are well known and widely cited (Ashton et al., 1965, 1975, 1976; Oxnard, 1981, 1984). Less widely cited are his efforts with Robin Crompton and Susan Lieberman to use many of the same quantitative techniques to examine broad patterns in primate behavior and ecology (Crompton et al., 1987; Oxnard et al., 1990). In recent years we have made several efforts to redress this oversight (Fleagle and Reed, 1996, 1999a; Reed, 1999), and it seems particularly appropriate to provide here a general summary of that work. Charles Oxnard is more than a gifted quantitative biologist; he is also a person who delights in reducing the seemingly insurmountable complexity of nature to simple and often esthetically pleasing patterns. Yet, at the same time, he has always been keen to push his analyses one more step and demonstrate that a dataset may yield very different patterns when viewed from a slightly different perspective. Accordingly, in the spirit of Charles's work we will concentrate on some of the broader patterns that emerge from our studies of primate communities when we look at the same dataset from a slightly different perspective.

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