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A palaeotemperature curve for the Precambrian oceans based on silicon isotopes in cherts

Author

Listed:
  • François Robert

    (CNRS LEME NanoAnalyses, UMS 2679)

  • Marc Chaussidon

    (Centre de Recherches Pétrographiques et Géochimiques, CRPG-CNRS BP20)

Abstract

Sands of time Cherts, dense silicaceous rocks containing microcrystalline quartz, are among the best preserved ocean sediments on Earth and their formation dates cover a period from the early Archaean, 3.5 billion years ago, to the present. New data show that the silicon isotopic composition of cherts varies systematically with geological age and is correlated with the oxygen isotope composition. This means that the isotopic composition of cherts is likely to record their formation temperature. Using numerical models of the silicon cycle, the isotopic curve derived from this data provides a unique record of Precambrian seawater temperature variations, with changes from about 70 to 20 °C between 3.5 and 0.8 billion years ago.

Suggested Citation

  • François Robert & Marc Chaussidon, 2006. "A palaeotemperature curve for the Precambrian oceans based on silicon isotopes in cherts," Nature, Nature, vol. 443(7114), pages 969-972, October.
    • Handle: RePEc:nat:nature:v:443:y:2006:i:7114:d:10.1038_nature05239
    DOI: 10.1038/nature05239
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    Cited by:

    1. Zhongyi Lu & Runyue Xia & Siyu Zhang & Jie Pan & Yang Liu & Yuri I. Wolf & Eugene V. Koonin & Meng Li, 2024. "Evolution of optimal growth temperature in Asgard archaea inferred from the temperature dependence of GDP binding to EF-1A," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    2. Wriju Chowdhury & Dustin Trail & Martha Miller & Paul Savage, 2023. "Eoarchean and Hadean melts reveal arc-like trace element and isotopic signatures," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. von Bloh, Werner & Bounama, Christine & Eisenack, Klaus & Knopf, Brigitte & Walkenhorst, Oliver, 2008. "Estimating the biogenic enhancement factor of weathering using an inverse viability method," Ecological Modelling, Elsevier, vol. 216(2), pages 245-251.

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