Volume 55, Issue 5 pp. 849-858
Free Access

QUANTIFYING PASSIVE AND DRIVEN LARGE-SCALE EVOLUTIONARY TRENDS

Steve C. Wang

Steve C. Wang

Department of Statistics, Harvard University, Science Center, 1 Oxford Street, Cambridge, Massachusetts 02138 E-mail: [email protected]

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First published: 09 May 2007
Citations: 10

Abstract

Abstract.— I introduce a new statistical method, analysis of skewness, for quantifying large-scale evolutionary trends as a combination of both passive and driven trends. My approach is based on the skewness of subclades within a parent clade. I partition the total skewness of the parent clade into three components: (1) skewness between subclades; (2) skewness within subclades; and (3) skewness due to changes in variance among subclades. The third component corresponds to a new type of passive trend, in which overall skewness of a parent clade is due to greater variability in subclades to the right of the mean. Using this partitioning, I decompose an observed trend into two components: a driven portion and a passive portion, thus quantifying the effect of small-scale dynamics on large-scale behavior of clades. Applications are given to Miocene-Pliocene rodent size and Ordovician brachiopod muscle geometry.

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