Evidence map›Paper›PMID 41335578›Full record

ArticlePloS one2025

A bioavailable 87Sr/86Sr isoscape of Mongolia: Implications for the reconstruction of past human and animal mobility.

Mael Le Corre, Eric Douville, Arnaud Dapoigny, Khanh-Vi Tran, Tsagaan Turbat, Ganbold Enkhbayar, Sébastien Lepetz, Antoine Zazzo

Abstract readHistorical Article
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mael Le CorreBioArchéologie, Interactions Sociétés Environnements (BioArch, UMR 7209), Muséum National d'Histoire Naturelle, Sorbonne Université, Centre National de la Recherche Scientifique (CNRS), Paris, France.ORCID https://orcid.org/0000-0003-2374-2050
Eric DouvilleLaboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL, UMR 8212), Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, UMR CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Arnaud DapoignyLaboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL, UMR 8212), Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, UMR CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Khanh-Vi TranLaboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL, UMR 8212), Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, UMR CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.
Tsagaan TurbatInstitute of Nomadic Archaeology and Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar, Mongolia.
Ganbold EnkhbayarNational Museum of Mongolia, Ulaanbaatar, Mongolia.
Sébastien LepetzBioArchéologie, Interactions Sociétés Environnements (BioArch, UMR 7209), Muséum National d'Histoire Naturelle, Sorbonne Université, Centre National de la Recherche Scientifique (CNRS), Paris, France.
Antoine ZazzoBioArchéologie, Interactions Sociétés Environnements (BioArch, UMR 7209), Muséum National d'Histoire Naturelle, Sorbonne Université, Centre National de la Recherche Scientifique (CNRS), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding past human and animal mobility is essential for reconstructing the social and cultural dynamics of ancient societies. Strontium isotope analysis (87Sr/86Sr) offers a powerful tool to investigate provenance and movement. The bioavailable 87Sr/86Sr follows the underlying lithology, and increasing efforts have been made to map its spatial distribution across the landscape and produce 87Sr/86Sr isoscapes at local and more global scales. Mongolia's steppe landscapes have long supported highly mobile pastoralist societies whose movements were central to the formation of major polities, including Late Bronze Age cultures, Xiongnu first nomadic state and Mongol Empire. Despite the growing use of 87Sr/86Sr isotopic analysis to investigate past mobility, the lack of a robust 87Sr/86Sr baseline has hindered large-scale interpretations. Here, we generated a regionally-calibrated bioavailable 87Sr/86Sr isoscape for Mongolia by analysing modern plants collected at 534 sites, mostly from Arkhangai, central Mongolia. We used two machine learning approaches: the random forest regression (RF) and the ensemble machine learning (EML). Both methods produced comparable isoscapes with RF slightly outperforming EML. Three major regions have been identified, reflecting the complex geology of Mongolia: a western intermediate-to-high 87Sr/86Sr region (0.710-0.722), a central low 87Sr/86Sr region (0.707-0.711), and an eastern intermediate 87Sr/86Sr region (0.709-0.712). Comparison of archaeological 87Sr/86Sr data from 25 sites across Mongolia from the Late Bronze Age to the Medieval period with local isoscape predictions suggest that human, animal and plant samples are mainly of local origins for most of the sites, regardless of the period. This isoscape provides a strong baseline in Mongolia and not only enhances archaeological interpretations of past mobility but also holds significant potential for ecological monitoring and the authentication of regional products, such as cashmere.

Indexed as

ArchaeologyStrontium IsotopesAnimalsHumansMongoliaPlantsStrontium-86Strontium-87Strontium Isotopes

Identifiers

PMID41335578
PMCPMC12674565

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