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Sulfate reduction and hydrogen sulfide oxidation rates in marine sediments with cryptic sulfur cycling

  • Tomas Israel Grijalva-Rodriguez
  • , Gilad Antler
  • , Efrat Eliani-Russak
  • , Dong Feng
  • , Shanggui Gong
  • , André Pellerin
  • , Hans Røy
  • , Keren Solomovich
  • , Alexandra V. Turchyn
  • , Irina Zweig
  • , Alexey Kamyshny,*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Sedimentary systems affected by high fluxes of reactive iron develop a so-called ‘cryptic’ sulfur cycle in which hydrogen sulfide is nearly fully reoxidized and its concentrations of hydrogen sulfide in the porewaters are in the submicromolar range. The sediments of the Gulf of Aqaba represent a classic example of such a system. The goal of this work was to provide quantitative constraints on hydrogen sulfide concentrations in the sediments of the Gulf of Aqaba. Sulfate reduction rates in the sediments of the Gulf of Aqaba were found to be lower than in marine sediments that had not been affected by high fluxes of the reactive iron, while the rate constants of hydrogen sulfide oxidation were found to be higher than in the highly reactive iron-rich sediments of the Svalbard fjord. A combination of slow rates of sulfate reduction and fast rates of hydrogen sulfide oxidation results in concentrations of hydrogen sulfide in the porewater, both measured and calculated, that are below 100 nmol l−1. We suggest that a similar cycling of sulfur species may occur in organic-matter-poor marine systems situated in dry environments with highly reactive iron mineral delivery, such as the Red Sea and the Atlantic Ocean in the vicinity of the Sahara.

Original languageEnglish
Article numberjgs2025-088
JournalJournal of the Geological Society
Volume183
Issue number2
DOIs
StatePublished - Mar 2026
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2026 The Author(s). Published by The Geological Society of London. All rights, including for text and data mining (TDM), artificial intelligence (AI) training, and similar technologies, are reserved. For permissions: https://www.lyellcollection.org/publishing-hub/permissions-policy. Publishing disclaimer: https://www.lyellcollection.org/publishing-hub/publishing-ethics.

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