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Content archived on 2024-05-29

Mathematical morphometry and continental stratigraphy: new methods to improve fossil rodents biochronology

Objective

The project deals with the research of new mathematical morphometric methods for the occlusal surface of some fossil rodent teeth in order to improve the quality of the species identification. Murray State University is working on new mathematical methods, such as the decomposition in Fourier series of the M1 contour shape and of the lateral linea sinuosa track in arvicolids as well as using a cubic spline algorithm.

Training on such innovative and important methods would help biochronology of European Neogene continental basins, leading to a better understanding of the origin of modern biological diversity.

The main objectives of this project would be:
- the development and application of mathematical methods, morphometrical techniques (polynomial equations, cubic splines, Fourier transform), enamel analysis techniques to be applied to arvicolids teeth and, if possible, to other rodents;
- the improvement of our knowledge of some North American rodent species and genera, especially those having a great importance from a biochronological and paleoenvironmental perspectives.
- the application of such methods to Western European rodent faunas;
- the improvement of biochronological knowledge of Italian and western European Pliocene and Pleistocene sequences;
- providing helpful information on species lifespans and extinctions in relation to climatic change in the Mediterranean area.

The final aim of the project is, therefore, to improve the quality of species identification, in order to help biochronological, paleoenvironmental and palaeoclimatic reconstructions of European Neogene continental basins, leading to a better understanding of the origin of modern biological diversity.

Call for proposal

FP6-2002-MOBILITY-6
See other projects for this call

Coordinator

UNIVERSITÀ DEGLI STUDI ROMA TRE - DIPARTIMENTO DI SCIENZE GEOLOGICHE
EU contribution
No data
Total cost
No data

Participants (1)