Articles | Volume 23, issue 17
https://doi.org/10.5194/bg-23-6287-2026
https://doi.org/10.5194/bg-23-6287-2026
Research article
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11 Sep 2026
Research article | Highlight paper |  | 11 Sep 2026

Imaging deep carbon stocks with complex electrical conductivity

Adrián Flores Orozco, Jakob Gallistl, Benjamin S. Gilfedder, Timea Katona, Sven Frei, Peter Strauss, and Gunter Blöschl

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-4015', Anonymous Referee #1, 26 Nov 2025
  • RC2: 'Comment on egusphere-2025-4015', Anonymous Referee #2, 03 Dec 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (24 May 2026) by Yakov Kuzyakov
AR by Adrian Flores Orozco on behalf of the Authors (11 Jun 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Aug 2026) by Yakov Kuzyakov
ED: Publish as is (11 Aug 2026) by Paul Stoy (Co-editor-in-chief)
AR by Adrian Flores Orozco on behalf of the Authors (22 Aug 2026)  Author's response 
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Editorial statement
Soil organic carbon stocks at depth are poorly known despite their central importance to the global carbon cycle. Florez Orosco and others demonstrate a novel method for estimating these carbon stocks using complex electrical conductivity. Increases in low frequency polarization are linearly related to soil organic carbon, which was used to discover soil organic carbon at 4-6 m depth in a catchment dominated by silty loam soils. Their findings present a path forward for quantifying deep soil organic carbon stocks across different terrestrial ecosystems.
Short summary
Understanding the role of soil in the storage of organic carbon is critical for a large number of environmental processes. Current practices rely on the drilling and analysis of samples, which is expensive, time consuming and destructive. Here we present a technique able to map soil organic carbon variability using measurements of the electrical properties of the subsurface without drilling. Our results advance soil management strategies to enhance carbon sequestration and storage.
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