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Building an isoscape based on tooth enamel for human provenance estimation in Brazil

In this study, we present a correlation between δ18OC values of carbonate in tooth enamel samples from the modern Brazilian population and the available δ18ODW data for the meteoric water from the Global Network of Isotopes in Precipitation (GNIP). Tooth enamel from 119 Brazilian individuals from fi...

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Bibliographic Details
Published in:Forensic science international 2022-01, Vol.330, p.111109-111109, Article 111109
Main Authors: de Oliveira Mascarenhas, Ricardo, Sena-Souza, João Paulo, Bernasconi, Stefano M., McKenzie, Judith A., Vasconcelos, Crisógono, Muniz, Taís Ribeiro, Nogueira e Silva, Matheus Pereira, da Silva Salvador, Fábio Augusto, Rumbelsperger, Anelize Manuela Bahniuk
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Language:English
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Summary:In this study, we present a correlation between δ18OC values of carbonate in tooth enamel samples from the modern Brazilian population and the available δ18ODW data for the meteoric water from the Global Network of Isotopes in Precipitation (GNIP). Tooth enamel from 119 Brazilian individuals from five different regions of the country were analyzed. The δ18OC isoscape obtained is in good agreement with the isoscape based on regional meteoric and drinking water. The regression matrix obtained for the δ18O values of the carbonate tooth enamel and meteoric water was used to build an isoscape using the regression-kriging approach. Our data show that Brazil can be divided in two main regions with respect to the δ18O values of the carbonate tooth enamel: (1) the most easterly part of the northeast region, which is characterized by a warm and dry climate and (2) the remainder of the country, stretching from the Amazon rain forest to the more southernly regions. The data herein reported can be used for forensic purposes related to human identification. •Isoscape based on tooth enamel for the Brazilian population•δ18O isoscape based on tooth enamel for human identification•Isotopic database based on tooth enamel for the modern population in Brazil•Isoscape built using the regression-kriging approach
ISSN:0379-0738
1872-6283
DOI:10.1016/j.forsciint.2021.111109