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Isotooppidieetin rekonstruointi×Hammaskiilteen mikrokulutuskuvioanalyysi×
TieteenalaArkeologiaArkeologia
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi19831988
KehittäjäMargaret SchoeningerPeter Teaford
TyyppiGeochemical diet analysisDietary inference method
AlkuperäislähdeSchoeninger, M. J., & DeNiro, M. J. (1983). Nitrogen and carbon isotopic composition of bone collagen from marine and terrestrial animals. Geochimica et Cosmochimica Acta, 47(4), 625-639. DOI ↗Ungar, P. S. (2007). Evolution of the human diet: The known, the unknown, and the unknowable. Oxford University Press. link ↗
Rinnakkaisnimetstable isotope analysis, carbon-nitrogen isotope analysis, diet isotope analysismicrowear analysis, dental wear analysis
Liittyvät44
TiivistelmäIsotope diet reconstruction uses the stable isotope ratios of carbon (C13/C12) and nitrogen (N15/N14) in human bone collagen to infer the composition of past diets. Pioneered by Margaret Schoeninger and Michael DeNiro in the 1980s, this method reveals long-term dietary patterns by analyzing the chemical signature of food absorbed into skeletal tissues. Stable isotopes provide quantitative information about the relative contributions of terrestrial versus marine foods, and between plant and animal sources, making it a powerful tool for understanding past subsistence practices.Dental microwear texture analysis (DMTA) is a method that reconstructs diet and dietary behavior from microscopic wear patterns on the surfaces of teeth. Pioneered by Mark Teaford in the 1980s, DMTA analyzes the three-dimensional texture of wear patterns produced as food is chewed. The method reflects short-term (last few months) dietary composition, complementing longer-term dietary information obtained from stable isotope analysis. DMTA has proven powerful for distinguishing diets rich in tough/fibrous foods from those dominated by hard/brittle foods.
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ScholarGateVertaile menetelmiä: Isotope Diet Reconstruction · Dental Microwear Texture Analysis. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare