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Rekonstrukcja diety na podstawie analizy izotopów×Minimalna liczba osobników×
DziedzinaArcheologiaArcheologia
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19831953
TwórcaMargaret SchoeningerTheodore White
TypGeochemical diet analysisFaunal quantification method
Źródło pierwotneSchoeninger, 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 ↗White, T. E. (1953). A method of calculating the dietary percentages of various food animals utilized by aboriginal peoples. American Antiquity, 19(4), 396-398. DOI ↗
Inne nazwystable isotope analysis, carbon-nitrogen isotope analysis, diet isotope analysisMNI method, minimum individual number
Pokrewne44
PodsumowanieIsotope 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.Minimum number of individuals (MNI) is a quantitative zooarchaeological method that estimates the minimum number of animals represented in a faunal assemblage based on the frequency of unique skeletal elements. Developed by Theodore White in 1953, it is one of the most widely used techniques for analyzing animal bone assemblages from archaeological sites. The MNI method helps archaeologists understand hunting and butchering patterns, interpret subsistence practices, and assess the diversity of fauna exploited by past human populations.
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ScholarGatePorównaj metody: Isotope Diet Reconstruction · Minimum Number of Individuals. Pobrano 2026-06-20 z https://scholargate.app/pl/compare