2020
DOI: 10.1016/j.earscirev.2020.103353
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The first large-scale bioavailable Sr isotope map of China and its implication for provenance studies

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Cited by 42 publications
(34 citation statements)
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“…The bioavailable Sr in the Harbin and the nearby areas has the lowest 87 Sr/ 86 Sr ratios (<0.711) in China ( Figure S3 ), which is thought to be related to the mafic-ultramafic silicate rocks of the Xing'an-Mongolian orogenic belt. 18 These Sr isotopic data strongly suggest that they shared a common geological environment and bioavailable Sr source. The sediments adhered in the nasal cavity of the Harbin cranium consist of dark gray sandstone, most similar to those from the layer between 6.6 and 12.5 m of the DJ core.…”
Section: Resultsmentioning
confidence: 81%
“…The bioavailable Sr in the Harbin and the nearby areas has the lowest 87 Sr/ 86 Sr ratios (<0.711) in China ( Figure S3 ), which is thought to be related to the mafic-ultramafic silicate rocks of the Xing'an-Mongolian orogenic belt. 18 These Sr isotopic data strongly suggest that they shared a common geological environment and bioavailable Sr source. The sediments adhered in the nasal cavity of the Harbin cranium consist of dark gray sandstone, most similar to those from the layer between 6.6 and 12.5 m of the DJ core.…”
Section: Resultsmentioning
confidence: 81%
“…These errors are low when compared with other spatial interpolation presented in literature for isoscapes (e.g. Willmes et al, 2018;Adams et al, 2019;Wang et al, 2020). Such low values are possibly related to the high number of samples considered in this study (total n = 1920), evenly distributed across Italy (see Figure 1), compared to the available literature studies.…”
Section: Mapsmentioning
confidence: 51%
“…Hobson et al, 2010;Muhlfeld et al, 2013;Song et al, 2014;Chesson et al, 2018;Colleter et al, 2021;Lazzerini et al, 2021). So far, national isoscapes have been produced for several European and extra-European countries, employing and testing several different methods for the spatial interpolation, including machine learning (Montgomery et al, 2006;Evans et al, 2010;Frei and Frei, 2011;Bataille and Bowen, 2012;Pestle et al, 2013;Hartman and Richards, 2014;Copeland et al, 2016;Kookter et al, 2016;Laffoon et al, 2017;Bataille et al, 2018;Hedman et al, 2018;Willmes et al, 2018;Adams et al, 2019;Ladegaard-Pedersen et al, 2020;Scaffidi and Knudson, 2020;Snoeck et al, 2020;Wang et al, 2020;Frank et al, 2021;Funck et al, 2021;Washburnet al, 2021;Zieliński et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…In this study, we compiled 87 (Evans et al, 2010;Montgomery, 2010). However, distinguishing non-locals from locals and identifying their possible geographic place of origin are challenging and require an accurate baseline map showing the distribution of bioavailable 87 Sr/ 86 Sr across a wide region (Bataille et al, 2020;Wang and Tang, 2020). In practice, directly sampled environmental materials, such as soil leachates, surface and groundwater, plants, and animal skeletons, form the basis of bioavailable 87 Sr/ 86 Sr maps (Bentley and Knipper, 2005;Maurer et al, 2012;Ventresca Miller et al, 2017;Snoeck et al, 2020).…”
Section: Archaeological Sitesmentioning
confidence: 99%