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采用安大略省南部祖先是易洛魁人的遗址的骨胶原稳定同位素比值的人类和狗的贝叶斯饮食混合模型。

Human and dog Bayesian dietary mixing models using bone collagen stable isotope ratios from ancestral Iroquoian sites in southern Ontario.

机构信息

Research and Collections Division, New York State Museum, Albany, NY, USA.

出版信息

Sci Rep. 2023 May 3;13(1):7177. doi: 10.1038/s41598-023-34216-6.

Abstract

Under the archaeological canine surrogacy approach (CSA) it is assumed that because dogs were reliant on humans for food, they had similar diets to the people with whom they lived. As a result, the stable isotope ratios of their tissues (bone collagen and apatite, tooth enamel and dentine collagen) will be close to those of the humans with whom they cohabited. Therefore, in the absence of human tissue, dog tissue isotopes can be used to help reconstruct past human diets. Here δC and δN ratios on previously published dog and human bone collagen from fourteenth-seventeenth century AD ancestral Iroquoian village archaeological sites and ossuaries in southern Ontario are used with MixSIAR, a Bayesian dietary mixing model, to determine if the dog stable isotope ratios are good proxies for human isotope ratios in dietary modeling for this context. The modeling results indicate that human dietary protein came primarily from maize and high trophic level fish and dogs from maize, terrestrial animals, low trophic level fish, and human feces. While isotopes from dog tissues can be used as general analogs for human tissue isotopes under CSA, greater insights into dog diets can be achieved with Bayesian dietary mixing models.

摘要

根据考古犬类替代法(CSA),由于狗依赖人类获取食物,因此它们的饮食与人类相似。因此,其组织(骨胶原和磷灰石、牙釉质和牙本质胶原)的稳定同位素比值将接近与其共同生活的人类。因此,在没有人类组织的情况下,可以使用狗组织同位素来帮助重建过去人类的饮食。本研究利用混合稳定同位素分析反推模型(MixSIAR),对安大略省南部 14 至 17 世纪 AD 祖先易洛魁村庄考古遗址和骨库中以前发表的狗和人类骨胶原的 δC 和 δN 比值进行分析,以确定在这种情况下,狗的稳定同位素比值是否可以作为人类同位素比值在饮食建模中的良好替代值。模型结果表明,人类饮食中的蛋白质主要来源于玉米和高营养级别的鱼类,而狗的食物来源则包括玉米、陆地动物、低营养级别的鱼类和人类粪便。虽然 CSA 下,狗组织的同位素可以作为人类组织同位素的一般类似物,但贝叶斯饮食混合模型可以提供关于狗饮食的更深入见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/183c/10156743/4be7ca453700/41598_2023_34216_Fig1_HTML.jpg

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