4.6 Article

Radiocarbon Dating for the Reconstruction of the 1717 CE Triolet Rock Avalanche in the Mont Blanc Massif, Italy

Journal

FRONTIERS IN EARTH SCIENCE
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/feart.2020.580293

Keywords

radiocarbon dating; peat; rock avalanche; Mont Blanc massif; Val Ferret; Triolet

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The Arp Nouva peat bog in the upper Ferret Valley has been studied using radiocarbon dating, confirming that it was formed by rock avalanche deposits blocking the Bella Combe torrent. Careful sample preparation was crucial in obtaining accurate C-14 ages and avoiding chronological reconstruction errors. This study highlights the importance of a combined geomorphological and geochronological approach in landscape evolution research.
The Arp Nouva peat bog located in the upper Ferret Valley in the Mont Blanc massif was critically evaluated since published radiocarbon dates have led to controversial conclusions on the formation of this swamp. Radiocarbon dating of woody fragments from three pits of up to 1 m depth was used to discuss the question of whether the historically documented rock avalanche occurring in 1717 CE overran the peat bog or settled prior to its formation. For the deepest samples in the pits, calibrated radiocarbon ages between 1,652 and 1950 CE (95.4%; confidence level) were obtained, which fit very well into the time frame of the historical documented 1717 CE rock avalanche event. It can, therefore, be concluded that the Arp Nouva peat bog was formed by blockage of the Bella Combe torrent by the rock avalanche deposits. Furthermore, careful sample preparation with consequent separation of woody fragments from the bulk peat sample has shown that the problem of too old C-14 ages can be circumvented. This work demonstrates that a combined geomorphological and geochronological approach is the most reliable way to reconstruct landscape evolution. The key to successful C-14 dating is careful sample selection and the identification of the material that might not be ideal for chronological reconstructions.

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