绘制南跨乌拉尔地区生物可利用的 87Sr/86Sr 分布图

A. Epimakhov, I. V. Chechushkov, D. V. Kiseleva, M. Ankushev, P. Ankusheva
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引用次数: 0

摘要

研究课题。南跨乌拉尔地区生物可利用锶的空间分布。目的开发和测试获得生物可利用锶地图的方法,该地图适用于研究南外乌拉尔地区青铜时代的迁徙和流动。方法。在位于 25±5 千米网格内的统一网络中的 73 个地点和另外 22 个地点(在地质结构复杂的地方沿中间线横断面)进行了采样。锶含量的测定采用 ICP-MS 方法。锶同位素组成是用电感耦合等离子体磁扇区多收集器质谱仪(MC-ICP-MS)测量的。统计方法包括:茎叶图分析;学生 t 检验;普通克里金法(平均值未知)与线性半变量图;根据皮尔逊检验进行相关性分析。结果。调查面积为 36 平方公里。样本量为 357 个。不同类型的样本具有相似的平均值和中位值;差异出现在小数点后第四位。标准 1(n ≥ 0.001)可用于确定局部变异性,标准 2(0.706 < n < 0.716)可用于评估古代个体、动物和考古物品的来源。每种样本类型的插值图均已绘制。所有生物可利用锶地图都显示出相似的空间模式。交叉验证揭示了准确度最低的区域。结论不同类型地图上异常点分布的相似性表明取样技术是可行的。87Sr/86Sr 值升高的区域明显与较古老的岩性有关(平均值为 0.7106)。较低值(0.7091 ± 0.002)与较年轻的岩性有关。鉴于研究区域地质结构复杂,岩石种类繁多,一个积极的结果是,已确定异常点的分区差异较小,这与乌拉尔地区的大型构造形成带相对应。所介绍的方法证明其适用于研究外乌拉尔山南部古代人口的亚纵向迁移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping of bioavailable 87Sr/86Sr in the Southern Trans-Urals
Research subject. Spatial distribution of bioavailable strontium in the South Trans-Urals. Aim. Development and test of a methodology for obtaining a bioavailable strontium map suitable for studying migrations and mobility in the Bronze Age in the Southern Trans-Urals. Methods. Sampling was conducted in 73 loci located in a uniform network in a 25 ± 5 km grid and in 22 additional loci (transects along the intermediate lines in places of complex geological structure). The determination of strontium content was carried out by the ICP-MS method. The strontium isotope composition was measured using an inductively coupled plasma magneto-sector multi-collector mass spectrometer (MC-ICP-MS). Statistical methods included analysis with stem-and-leaf plots; Student’s t-test; ordinary kriging (the mean is unknown) with linear semivariogram; analysis of correlation according to Pearson’s test. Results. The surveyed area is 36 sq. km2. The sample size is 357. Samples for different types have similar mean and median values; the differences occur in the fourth fractional digit. Criterion 1 (n ≥ 0.001) can be used to determine local variability, and Criterion 2 (0.706 < n < 0.716) can be used to assess the origin of ancient individuals, animals, and archaeological objects. The interpolated maps for each sample type were created. All bioavailable strontium maps show similar spatial patterns. Cross-validation revealed areas of the lowest accuracy. Conclusions. The similarity of the distribution of anomalies on the maps of different types suggests the feasibility of the sampling technique. There is a clear tendency for the zones of elevated 87Sr/86Sr values to be associated with the older lithology (0.7106, mean). The lower values (0.7091 ± 0.002) are associated with the younger lithology. Given the complex geological structure and a wide range of rocks in the study area, a positive result is the low differentiation of the zoning of the identified anomalies, which correspond to large structural-formation zones of the Urals. The presented method demonstrates its suitability for studying sublatitudinal migrations of the ancient population of the Southern Trans-Urals.
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