Spies Maximilian J, Alblas Amanda, Ambrose Stanley H, Barakat Sarah, Barberena Ramiro, Bataille Clément, Bowen Gabriel J, Britton Kate, Cawthra Hayley, Diamond Roger, Dosseto Anthony, Evans Jane A, Fisher Erich, Gray Kerryn, Heddell-Stevens Phoebe, Holt Emily, James Hannah F, Janzen Anneke, Le Corré Mael, le Roux Petrus, Lee-Thorp Julia, Mackay Alexander, McNeill Patricia J, Montgomery Janet, Mugabe Bedone, Oelze Vicky M, Pfab Michèle, Richards Michael P, Samec Celeste T, Santana-Sagredo Francisca, Serna Alejandro, Stantis Chris, Snoeck Christophe, Stewart Brian, Stuurman Cameron, Tarrant Damon, West Adam G, Winter-Schuh Christine, Sealy Judith
Department of Archaeology, University of Cape Town, Cape Town, South Africa.
Division of Clinical Anatomy, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
R Soc Open Sci. 2025 Jun 18;12(6):250283. doi: 10.1098/rsos.250283. eCollection 2025 Jun.
Strontium isotopes (Sr/Sr) are increasingly used as a provenance tool in multiple disciplines. Application to biological materials requires knowledge of the variation in bioavailable Sr/Sr across the landscape, potentially in the form of an isoscape (a quantitative model of spatial isotopic variability). This paper summarizes and provides advice on our current understanding of the main concerns in creating and interpreting isoscapes of bioavailable Sr/Sr. Isoscape creation approaches include domain mapping, geostatistical contour mapping and machine learning, the last becoming more readily achievable with the availability of software packages. It is critically important to develop isoscapes at a resolution appropriate for addressing the research questions. Choice of sample materials depends on the research questions and availability: plants or fauna with small ranges are favoured, with some analytes (snails, soil leachates) posing challenges. Interpreting Sr/Sr in biological tissues requires considering Sr metabolism and the timing of tissue formation, thus far underappreciated. The numerous sources of error involved in developing and applying isoscapes must be recognized to avoid over-interpreting data and spurious provenance precision. We hope this paper will help researchers investigating provenance, mobility, landscape use and migration to develop the most appropriate isoscapes for their purposes, and possible future use by others.
锶同位素(Sr/Sr)在多个学科中越来越多地被用作溯源工具。将其应用于生物材料需要了解整个研究区域内生物可利用的Sr/Sr的变化情况,可能是以等浓度线图(一种空间同位素变异性的定量模型)的形式呈现。本文总结了目前我们对创建和解读生物可利用Sr/Sr等浓度线图主要关注点的理解,并提供相关建议。等浓度线图的创建方法包括区域制图、地质统计等值线制图和机器学习,随着软件包的出现,机器学习方法变得更容易实现。以适合解决研究问题的分辨率来绘制等浓度线图至关重要。样本材料的选择取决于研究问题和可获取性:范围较小的植物或动物更受青睐,某些分析物(蜗牛、土壤渗滤液)会带来挑战。解读生物组织中的Sr/Sr需要考虑锶的代谢和组织形成的时间,而目前这一点尚未得到充分重视。在开发和应用等浓度线图时,必须认识到其中涉及的众多误差来源,以避免过度解读数据和虚假的溯源精度。我们希望本文能帮助研究溯源、迁移、土地利用和迁徙的研究人员,为他们的研究目的开发出最合适的等浓度线图,并供其他人未来可能使用。