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Evolution__3rd_Edition

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476 PART 4 / <strong>Evolution</strong> and Diversity<br />

Phylogenetic inference can be<br />

uncertain<br />

Phenetic characters can be<br />

quantified<br />

classificatory system has some compelling justification, external to the method it uses<br />

and the practitioners who practice it, for classifying in the way it does.<br />

Objective classifications are preferable to subjective ones. If classification is objective,<br />

then different, rational people, working independently, should be able to agree that<br />

it is the way to classify. The results should be relatively stable and repeatable.<br />

We can now look at how well the three classificatory schools meet the objectivity<br />

criterion. To do so, we need to look in more detail at how the three schools actually<br />

operate.<br />

16.5 Phenetic classification uses distance measures and<br />

cluster statistics<br />

The modern forms of phenetic classification are numerical and multivariate, and they<br />

were developed in reaction to the uncertainties and imprecision of evolutionary<br />

classification. <strong>Evolution</strong>ary classification, whether of the pure cladistic kind or the<br />

mixed evolutionary taxonomy of Mayr and others, requires a knowledge of phylogeny.<br />

Chapter 15 described how phylogenies can be inferred. Here, all we need to know is<br />

that, although the phylogenetic relations between species can often be inferred, the<br />

inferences are sometimes uncertain. Phylogenetic knowledge is subject to change, as<br />

improved evidence comes in, and a classification of a group based on its phylogeny is<br />

liable to be unstable a not because the phylogeny itself is unstable but because our<br />

knowledge of it is. For many groups of living things, hardly anything is known about<br />

phylogeny, and a “phylogenetic” classification of such a group will inevitably be poorly<br />

supported by evidence. Numerical phenetics aimed to avoid all the evolutionary uncertainty<br />

by classifying only by phenetic relations, and by using quantitative techniques to<br />

measure them. The classification would follow automatically, and therefore (it was<br />

thought) objectively, from the phenetic measurements. Let us consider the methods in<br />

some more detail, and see how well these aims can be achieved.<br />

The simplest kind of phenetic classification is defined by only one or two characters.<br />

We might classify the vertebrates, for example, by the number of their legs, to form<br />

groups with 0, 2, or 4 legs. The trouble with this procedure is that it is likely to be<br />

subjective in the same way as classifying species by their order of discovery. Different<br />

individual characters show different distributions among species and therefore tend to<br />

produce different classifications. Consider the birds and some reptilian groups, such as<br />

crocodiles, lizards, and turtles. (We met this example in Chapter 15, and the conflicting<br />

character distributions are illustrated in Figure 15.2, p. 427. Figure 16.1 in this chapter<br />

also partly illustrates this example.)<br />

Crocodiles are more similar to lizards and turtles than to birds if we look at their<br />

external surfaces, number of legs, and cold-blooded physiology. But crocodiles are<br />

more similar to lizards and turtles than to birds if we look at the anatomy of their skulls.<br />

The characters conflict. This is a universal problem, not just a peculiar problem in this<br />

example. A taxonomist working with one sample of characters will often produce a<br />

different classification from another taxonomist working with a different set of characters.<br />

As long as we stay with the principle of classifying according to a small number<br />

..

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