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Late Pleistocene human evolution in Sicily: comparative morphometric analysis of Grotta di San Teodoro craniofacial remains
Authors:Giuseppe D'Amore  Sylvia Di Marco  Giandonato Tartarelli  Renzo Bigazzi  Luca Sineo  
Institution:aLaboratorio di Archeoantropologia, Soprintendenza per i Beni Archeologici della Toscana, Via dei Rossi 26/A, 50018 Scandicci, Firenze, Italy;bScuola Normale Superiore, Piazza dei Cavalieri 7, 56100 Pisa, Italy;cDipartimento di Anatomia, Istologia e Medicina Legale, Università di Firenze, Policlinico di Careggi, 50100 Firenze, Italy;dDipartimento di Biologia Animale “G. Reverberi”, Università di Palermo, Via Archirafi 18, 90123 Palermo, Italy
Abstract:The paleoanthropological remains from Grotta di San Teodoro near Acquedolci (province of Messina, Italy) represent the oldest and largest skeletal collection yet found documenting human settlement of Sicily. The sample, attributed to the Late Epigravettian (between 14,000 and 10,000 years B.P.), consists of seven variously complete adult individuals (San Teodoro 1–7). We compare the cranial sample to an array of both prehistoric and recent samples using multivariate techniques including D2 distance analysis, canonical variate analysis, cluster analysis, and multidimensional scaling. Overall, the San Teodoro cranial sample displays a morphometric pattern close to Western European groups of similar antiquity, in particular those from Central and Southern Italy. The morphometric affinities indicate that these people probably came from peninsular Italy by sea during the Late Epigravettian epoch. An alternative hypothesis is that they descended from immigrants that arrived by land during a low sea level episode corresponding to the maximum Würmian regression, about 18,000 years B.P, with gene flow accounting for the morphological homogeneity with the populations of peninsular Italy. The San Teodoro skeletal sample provides the first reliable evidence for human settlement of Sicily.
Keywords:Late Epigravettian populations  Cranial morphometry  Multivariate statistics
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