Mapping of bioavailable ⁸⁷Sr/⁸⁶Sr in the Southern Trans-Urals

Abstract

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.