Microevolution and taxonomy of European reptiles with particular reference to the grass snake Natrix natrix and the wall lizards Podarcis sicula and P. melisellensis
1980
THORPE, R. S.
The grass snake Natrix natrix and the wall lizards Podarcis sicula and P. melisellensis are used as examples to compare the procedure and achievements of the conventional approach to naming subspecies with the use of multivariate morphometrics to investigate racial differentiation. The conventional procedure, which has changed little over the last 50 years, fails to take into account the appropriate evolutionary facts or refer to any abstracted levels of divergence necessary for subspecific recognition. Consequently, the patterns of population differentiation are obscured by the recognition of a large number of rather meaningless subspecies. There is a tendency to section clines into artificial categories and arbitrarily delimit subspecies by physiographic features. On the other hand, the use of multivariate morphometrics reveals the patterns of population differentiation which can be related to geological events and patterns of differentiation in other species and species groups. The nature of ‘hybrid’ zones and population differentiation enables the relative importance of evolutionary forces such as gene flow, selection and genetic drift to be discussed and provides evidence concerning speciation mechanisms. These techniques also contribute to the discussion regarding the nature of species and provide abstracted and operational criteria for taxonomic decisions. The difference between the results of multivariate analysis and the conventional approach cannot be explained solely on the basis of choice of characters. Some of the advantages and disadvantages of using multivariate Morphometrics, as opposed to other modern techniques, for investigating racial affinities are discussed.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par National Agricultural Library
Découvrez la collection de ce fournisseur de données dans AGRIS