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An ensemble machine learning bioavailable strontium isoscape for Eastern Canada

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Titel: An ensemble machine learning bioavailable strontium isoscape for Eastern Canada
Autoren: Mael Le Corre, Felipe Dargent, Vaughan Grimes, Joshua Wright, Steeve D. Côté, Megan S. Reich, Jean-Noël Candau, Marrissa Miller, Brent Holmes, Clement P. Bataille, Kate Britton
Weitere Verfasser: University of Aberdeen.Archaeology
Quelle: FACETS, Vol 10, Iss, Pp 1-17 (2025)
Verlagsinformationen: Canadian Science Publishing, 2025.
Publikationsjahr: 2025
Schlagwörter: isotope mapping, Supplementary Data, Science, ensemble machine learning, CC Archaeology, CC, Education, bioavailable 87Sr/86Sr, bioavailable 87Sr/86 59 Sr, random forest
Beschreibung: Bioavailable strontium isotope ratios (87Sr/86Sr) distribution across the landscape mainly follow the underlying lithology, making 87Sr/86Sr baseline maps (isoscapes) powerful tools for provenance studies. 87Sr/86Sr has already been used in Eastern Canada (EC) to track food and human remains origins, or to reconstruct animal mobility. While bioavailable 87Sr/86Sr isoscapes for EC can be extrapolated from global datasets using random forest modelling (RF), no regionally calibrated isoscape exists. Here, we produce a regionally calibrated bioavailable 87Sr/86Sr isoscape by analysing plants collected at 136 sites across EC, incorporating updated geological variables and applying a novel ensemble machine learning (EML) framework. We generated and compared isoscapes generated by the traditional RF and the EML approaches. Adding local bioavailable 87Sr/86Sr to a global dataset significantly improved the model prediction with a drastic increase of predicted 87Sr/86Sr and increased spatial uncertainty in the northern Canadian craton. EML produced similar 87Sr/86Sr predictions but with tighter spatial uncertainty distribution. Regionally calibrated RF and EML isoscapes significantly outperformed the global bioavailable RF isoscape, confirming the requirement for collecting local data in data-poor regions. This isoscape provides a baseline in EC to monitor and manage the movements and provenance of agricultural products, natural resources, endangered/harmful migratory species, and archaeological human remains and artifacts.
Publikationsart: Article
Dateibeschreibung: application/pdf
Sprache: English
ISSN: 2371-1671
DOI: 10.1139/facets-2024-0180
Zugangs-URL: https://doaj.org/article/43aca3c04f3f422dab79aa0ff254c103
Rights: URL: https://creativecommons.org/licenses/by/4.0/deed.en_GB
Dokumentencode: edsair.doi.dedup.....726fb73f3788a4921d9b5389a15cea49
Datenbank: OpenAIRE
Beschreibung
Abstract:Bioavailable strontium isotope ratios (87Sr/86Sr) distribution across the landscape mainly follow the underlying lithology, making 87Sr/86Sr baseline maps (isoscapes) powerful tools for provenance studies. 87Sr/86Sr has already been used in Eastern Canada (EC) to track food and human remains origins, or to reconstruct animal mobility. While bioavailable 87Sr/86Sr isoscapes for EC can be extrapolated from global datasets using random forest modelling (RF), no regionally calibrated isoscape exists. Here, we produce a regionally calibrated bioavailable 87Sr/86Sr isoscape by analysing plants collected at 136 sites across EC, incorporating updated geological variables and applying a novel ensemble machine learning (EML) framework. We generated and compared isoscapes generated by the traditional RF and the EML approaches. Adding local bioavailable 87Sr/86Sr to a global dataset significantly improved the model prediction with a drastic increase of predicted 87Sr/86Sr and increased spatial uncertainty in the northern Canadian craton. EML produced similar 87Sr/86Sr predictions but with tighter spatial uncertainty distribution. Regionally calibrated RF and EML isoscapes significantly outperformed the global bioavailable RF isoscape, confirming the requirement for collecting local data in data-poor regions. This isoscape provides a baseline in EC to monitor and manage the movements and provenance of agricultural products, natural resources, endangered/harmful migratory species, and archaeological human remains and artifacts.
ISSN:23711671
DOI:10.1139/facets-2024-0180