Principios de Taxonomia
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70j 4 What are Traits in Taxonomy?<br />
because it matches with both parent species in regard to half of all traits (T€opfer,<br />
2007) (Chapter 6). This statement is scientifically worthless because the concept<br />
half results from a purely subjective selection of traits.<br />
There are no fixed rules for trait-based taxon membership (Christoffersen, 1995).<br />
The selection is based on intuition, not on rules. This awareness opens the door for<br />
different taxonomists to use different traits to execute taxonomic classification.<br />
However, the choice of different traits for taxonomic classification might lead to<br />
different taxon entities. A flashback on the history of taxonomy shows that in different<br />
epochs different traits were used for taxonomic classification, creating taxa that are<br />
today no longer acknowledged as such. For example, bats were inclu<strong>de</strong>d in the taxon<br />
of birds from the antique naturalist Plinius to the Swiss biologist and bird painter<br />
Konrad Gessner in the sixteenth century because the property of having wings had<br />
been consi<strong>de</strong>red as an essential trait for being a member of the birds. Another<br />
example is the screamers of South America (genus Anhima). These were formerly<br />
consi<strong>de</strong>red to belong to the Galliformes (the or<strong>de</strong>r of pheasants, hens and quails)<br />
because they do not possess webbed feet. In fact, they belong to the Anseriformes (the<br />
or<strong>de</strong>r of ducks, geese and swans) because it has been discovered that the property of<br />
having webbed feet is not an essential trait for being a member of the Anseriformes<br />
(Chen, 2002).<br />
The realization that, for many taxonomical purposes, traits are subjectively selected<br />
should not be misun<strong>de</strong>rstood to indicate that the selection was arbitrary. They are not.<br />
Trait selection is subjective but not arbitrary because there is a distinction between<br />
taxonomically useful and less useful traits. Linnaeus already distinguished between<br />
the more variable and more constant traits and only chose the latter for his<br />
taxonomical classification (Chapter 3). Ernst Mayr also realized this. However, he<br />
justified his approach to the rating of traits by saying that with experienced<br />
taxonomists it was foun<strong>de</strong>d on consi<strong>de</strong>rable knowledge and experience (Mayr,<br />
1982). Thus, he did not bring a rule into the world because he completely appealed to<br />
intuition. Mayr viewed this approach as a testament to taxonomy being fundamentally<br />
different than physics and other natural sciences. In doing so, he did not<br />
consi<strong>de</strong>r that with this analysis he labeled taxonomy and other disciplines of<br />
organismal biology as soft science, potentially harming organismal biology (Chapter<br />
2). This is not to be taken lightly because in the last half century a trench has<br />
<strong>de</strong>veloped between the biological disciplines labeled as classical and the biological<br />
disciplines labeled as molecular, although these vocabularies do not resolve the<br />
un<strong>de</strong>rlying problem (Roush, 1997; Pigliucci, 2002).<br />
In the 1930s, the well-known geneticist Alfred Sturtevant tried to <strong>de</strong>velop a method<br />
with which somebody without any experience at all, even a non-biologist, would be<br />
able to divi<strong>de</strong> species into natural groups. The essential element of such an<br />
approach would be the <strong>de</strong>velopment of procedures with which the <strong>de</strong>gree of<br />
resemblance could be quantified so that subjective taxonomy would be transformed<br />
into an objective, numerical taxonomy (Mayr, 1982). However, Sturtevant failed and<br />
did not realize his intention.<br />
In recent times, numerical, computer-based phenetics has attempted this (Sneath<br />
and Sokal, 1973). Phenetics classifies organisms by only their trait similarities.