Strain controls the electrical conductivity distribution in the lithosphere

Abstract Magnetotellurics (MT) utilize measurements of electromagnetic fields at Earth's surface to image the electrical conductivity distribution at depths from a few meters to ~200 km. MT is especially powerful for mapping mineralized fluid pathways, as it is sensitive to interconnected minor conductive phases such as fluids, melts, or sulfides. However, conductivity anomalies documented by lithosphere-scale MT surveys do not necessarily capture the geometry of conductivity structures at depth and are often hard to interpret. To address this limitation, we developed a new approach that integrates laboratory-based conductivity with 3-D thermomechanical modeling. Our aim was to test the relationship between strain and conductivity in the case of a pull-apart basin. We show that networks of high-strain zones, which largely govern fluid transfer across the lithosphere, exert a first-order control on spatial distribution of conductivity anomalies. When compared to real MT data from the Marmara pull-apart basin along the North Anatolian fault (northwestern Türkiye), our synthetic survey shows good agreement with observed conductivity anomalies. This relationship suggests that strain plays a key role in controlling electrical conductivity distribution in the lithosphere by facilitating the interconnectivity of conductive phases.

Authors

Institutions

Publication Details

Journal
Geology
Published
2025-11-28
DOI
https://doi.org/10.1130/g53957.1
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strain controls the electrical conductivity distribution in the lithosphere

Patrice Rey, Sinan Özaydın, Vasileios Chatzaras
Geology
Geophysical and Geoelectrical Methods
article

Strain controls the electrical conductivity distribution in the lithosphere

Patrice Rey, Sinan Özaydın, Vasileios Chatzaras
article en

Abstract

Abstract Magnetotellurics (MT) utilize measurements of electromagnetic fields at Earth's surface to image the electrical conductivity distribution at depths from a few meters to ~200 km. MT is especially powerful for mapping mineralized fluid pathways, as it is sensitive to interconnected minor conductive phases such as fluids, melts, or sulfides. However, conductivity anomalies documented by lithosphere-scale MT surveys do not necessarily capture the geometry of conductivity structures at depth and are often hard to interpret. To address this limitation, we developed a new approach that integrates laboratory-based conductivity with 3-D thermomechanical modeling. Our aim was to test the relationship between strain and conductivity in the case of a pull-apart basin. We show that networks of high-strain zones, which largely govern fluid transfer across the lithosphere, exert a first-order control on spatial distribution of conductivity anomalies. When compared to real MT data from the Marmara pull-apart basin along the North Anatolian fault (northwestern Türkiye), our synthetic survey shows good agreement with observed conductivity anomalies. This relationship suggests that strain plays a key role in controlling electrical conductivity distribution in the lithosphere by facilitating the interconnectivity of conductive phases.

GeologyVol. 54(2)
The University of Sydney (AU)
Openalex Percentile: Top 62%
Geophysical and Geoelectrical Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Strain controls the electrical conductivity distribution in the lithosphere — Patrice Rey, Sinan Özaydın, et al. · Geology (2025) | TGRS Research Map | TGRS