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| Реконструкция на диетата чрез изотопи× | Анализ на следите от употреба× | |
|---|---|---|
| Област | Археология | Археология |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1983 | 1980 |
| Създател≠ | Margaret Schoeninger | Lawrence Keeley |
| Тип≠ | Geochemical diet analysis | Tool function inference |
| Основополагащ източник≠ | Schoeninger, 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 ↗ | Keeley, L. H. (1980). Experimental Determination of Stone Tool Uses. University of Chicago Press. link ↗ |
| Други названия≠ | stable isotope analysis, carbon-nitrogen isotope analysis, diet isotope analysis | microwear, tool use analysis |
| Свързани | 4 | 4 |
| Резюме≠ | Isotope 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. | Use-wear analysis (also called microwear or tool-use analysis) is a method that infers the function of stone tools from microscopic wear patterns on their cutting edges and surfaces. Pioneered by Lawrence Keeley in the 1970s-1980s, this technique examines damage patterns, polishes, and edge rounding produced as tools contact different materials during use. By analyzing these wear patterns, archaeologists can determine whether a tool was used to cut plant material, meat, bone, hide, or wood—revealing detailed information about task specialization and subsistence practices in prehistoric societies. |
| ScholarGateНабор от данни ↗ |
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