Reply to “The Correspondence of Earthquakes and Faults” by C. Scholz

Abstract Zou and Fialko (2024a), https://doi.org/10.1029/2024ea003824 analyzed the fault length statistics using several data sets spanning a wide range of length scales from millimeters to tens of kilometers, and concluded that the cumulative fault length distribution follows a universal power law with an exponent close to −2, implying that small faults can accommodate an appreciable fraction of tectonic strain. C. Scholz wrote a Comment in which he agrees with the main conclusions of our study, but questions the methodology that “fortuitously” gave rise to a correct answer. In particular, Scholz suggests that there is a spurious correlation in our estimation of the slope of a composite data set, which cancels out due to a lower‐dimensional sampling bias. Here we show that our estimated absolute value of the power law exponent of is not a result of normalizing the fault length‐frequency distribution by the map area, as suggested by Scholz. We also maintain that the lower‐dimensional bias is likely to decrease the estimated value of the power law exponent, but not by as much as 1 unit, so that the strain energy in the crust hosting the fault population remains finite. Estimating the magnitude of the lower dimensional bias for realistic fault distributions is important for distinguishing between the “inclusive correspondence” between faults and earthquakes, as proposed by Scholz in his Comment, and similar but distinct distributions of active and inactive faults, as proposed by Zou and Fialko (2024a), https://doi.org/10.1029/2024ea003824 . This issue also directly bears on the amount of inelastic strain absorbed by small faults in developing shear zones.

Authors

Institutions

Publication Details

Journal
Earth and Space Science
Published
2025-08-01
DOI
https://doi.org/10.1029/2025ea004484
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reply to “The Correspondence of Earthquakes and Faults” by C. Scholz

Yuri A. Fialko, Xiaoyu Zou
Earth and Space Science
earthquake and tectonic studies
article

Reply to “The Correspondence of Earthquakes and Faults” by C. Scholz

Yuri A. Fialko, Xiaoyu Zou
article en

Abstract

Abstract Zou and Fialko (2024a), https://doi.org/10.1029/2024ea003824 analyzed the fault length statistics using several data sets spanning a wide range of length scales from millimeters to tens of kilometers, and concluded that the cumulative fault length distribution follows a universal power law with an exponent close to −2, implying that small faults can accommodate an appreciable fraction of tectonic strain. C. Scholz wrote a Comment in which he agrees with the main conclusions of our study, but questions the methodology that “fortuitously” gave rise to a correct answer. In particular, Scholz suggests that there is a spurious correlation in our estimation of the slope of a composite data set, which cancels out due to a lower‐dimensional sampling bias. Here we show that our estimated absolute value of the power law exponent of is not a result of normalizing the fault length‐frequency distribution by the map area, as suggested by Scholz. We also maintain that the lower‐dimensional bias is likely to decrease the estimated value of the power law exponent, but not by as much as 1 unit, so that the strain energy in the crust hosting the fault population remains finite. Estimating the magnitude of the lower dimensional bias for realistic fault distributions is important for distinguishing between the “inclusive correspondence” between faults and earthquakes, as proposed by Scholz in his Comment, and similar but distinct distributions of active and inactive faults, as proposed by Zou and Fialko (2024a), https://doi.org/10.1029/2024ea003824 . This issue also directly bears on the amount of inelastic strain absorbed by small faults in developing shear zones.

Earth and Space ScienceVol. 12(8)
Scripps Institution of Oceanography (US), University of California San Diego (US)
U.S. Geological Survey
Openalex Percentile: Top 79%
earthquake and tectonic studies
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.