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The first large-scale bioavailable Sr isotope map of China and its implication for provenance studies
Earth-Science Reviews ( IF 12.1 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.earscirev.2020.103353 Xueye Wang , Zihua Tang
Earth-Science Reviews ( IF 12.1 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.earscirev.2020.103353 Xueye Wang , Zihua Tang
Abstract Strontium isotope ratio (87Sr/86Sr) has been widely used to trace human migrations across geologically distinct landscapes in archaeological and forensic sciences. 87Sr/86Sr-based provenance studies require a detailed strontium reference map to make valid interpretations of mobility patterns for a given region. In this study, we first review the previous development for 87Sr/86Sr isoscapes relevant to research on migration and then present the first map of bioavailable 87Sr/86Sr ratios for China, based on 1935 measurements on biosphere samples collated from published research and supplemented by our targeted collection strategy. The results show that 87Sr/86Sr ratios in China span a large range and exhibit regional patterns largely dependent on the divergent geological conditions of each of China's tectonic blocks. We further combine river water 87Sr/86Sr ratios with lithology, integrated elemental data, and chemical weathering rates, to determine which dominant weathering patterns (e.g. silicate, carbonate or evaporite) have the most significant influence on 87Sr/86Sr ratios. The low ranges of 87Sr/86Sr ratios ( 0.7125) appear in the Cathaysia Block as well as some orogenic belts and the southeastern margin of the Tibetan Plateau, likely due to the influence of the metamorphic rocks and granitoid sources. Additionally, topography, differential weathering among lithologies, and eolian deposits (e.g. loess) are also significant factors that influence 87Sr/86Sr ratios in China. Our study reveals that the large variation of 87Sr/86Sr ratios across China is predominately driven by geological conditions, revealing that future Sr isotope provenance studies can shed on ancient and historical migrations in China.
更新日期：2020-11-01
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