Abstract
RationaleDue to the spatial heterogeneity of stable isotope ratios of single elements measured in attempts to georeference bioarchaeological finds, multi-isotope fingerprints are frequently employed under the assumption that similar isotopic signatures are indicative of similar shared environments by the individuals studied. The extraction of the spatial information from multi-isotope datasets, however, is challenging. Methods: Gaussian mixture clustering of six- to seven-dimensional isotopic fingerprints measured in archaeological animal and human bones was performed. Uncremated animal bones served for an isotopic mapping of a specific reference area of eminent archaeological importance, namely the Inn-Eisack-Adige passage across the European Alps. The fingerprints consist of Sr-87/Sr-86, Pb-208/Pb-204, Pb-207/Pb-204, Pb-206/Pb-204, Pb-208/Pb-207, and Pb-206/Pb-207 ratios, and O-18(phosphate) values in uncremated bone apatite, while the thermally unstable O-18 values of human cremations from this region were discarded. Results: The bone finds were successfully decontaminated. Animal and human isotope clusters not only reflect individual similarities in the multi-isotopic fingerprints, but also permit a spatial allocation of the finds. This holds also for cremated finds where the O-18(phosphate) value is no longer informative. To our knowledge, for the first time Pb stable isotopes have been systematically studied in cremated skeletal remains and proved significant in a region that was sought after for its ore deposits in prehistory. Conclusion: sGaussian mixture clustering is a promising method for the interpretation of multi-isotopic fingerprints aiming at detecting and quantifying migration and trade.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Geowissenschaften > Department für Geo- und Umweltwissenschaften |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften, Geologie |
ISSN: | 0951-4198 |
Sprache: | Englisch |
Dokumenten ID: | 67948 |
Datum der Veröffentlichung auf Open Access LMU: | 19. Jul. 2019, 12:23 |
Letzte Änderungen: | 04. Nov. 2020, 13:50 |