Skip to main content
Nernstian stability of the Eh–O2 relationship reveals redox structural shifts

Nernstian stability of the Eh–O2 relationship reveals redox structural shifts

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Kyoko Morimoto, Mayumi Seto, Katsutoshi Ito, Mana Ito

Abstract

Oxidation-reduction potential (Eh) offers a compact descriptor of aquatic redox status, yet its interpretation is obscured by the many co-occurring electron-transfer reactions that determine it. We tested the hypothesis that the persistence of a linear, Nernstian relationship between Eh and ln[O2] reflects the robustness of the underlying redox structure. Using 18 months of depth profiles and high-frequency measurements in a disturbance-prone pond, we found that Eh increased linearly with ln[O₂] across depths and seasons (slope = 0.079 V; R2 = 0.38), indicating a persistent Nernstian slope. A sediment-inflow event temporarily collapsed this slope at one site, revealing a reorganization of the local redox network. High-frequency observations further showed that rainfall-driven oxygen spikes scarcely affected sediment Eh, demonstrating that short-term hydrological disturbances do not alter the prevailing redox structure. Additionally, causal analysis (EchoNet) showed that Eh was driven primarily by temperature rather than dissolved oxygen, indicating that oxygen’s influence is dispersed across many intertwined reaction pathways. Together, these results show that, although the Eh–O2 relationship cannot resolve detailed reaction pathways, co-located and continuous Eh–O2 monitoring provides a robust indicator of redox structural stability and a practical tool for detecting structural redox shifts in shallow aquatic systems.

DOI

https://doi.org/10.31223/X5CF4T

Subjects

Biogeochemistry

Keywords

Redox potential, dissolved oxygen, Redox network structur, High-resolution monitoring, Causal time-series analysis

Dates

Published: 2025-11-23 14:33

Last Updated: 2025-11-23 14:33

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
I, the authors, declare no competing interests.

Data Availability (Reason not available):
All raw data (weekly water-quality measurements, high-frequency logging data, and vertical profiles) and all analysis scripts written in Wolfram Language (Mathematica 12) will be deposited in a public FAIR repository (e.g., Zenodo or Dryad) upon acceptance. The corresponding DOI will be provided in the final published version.