Front. Earth Sci. Frontiers in Earth Science Front. Earth Sci. 2296-6463 Frontiers Media S.A. 1791906 10.3389/feart.2026.1791906 Correction Correction: Spatial distribution patterns and landslide susceptibility analysis from a global–local perspective along the Zhuzhou-Guangzhou section of the Beijing–Guangzhou railway Liu et al. 10.3389/feart.2026.1791906 Liu Hanxing 1 2 Methodology Investigation Supervision Conceptualization Visualization Formal Analysis Writing - original draft Xu Chong 1 2 3 * Conceptualization Methodology Investigation Writing - review and editing Supervision Funding acquisition Feng Liye 1 2 Conceptualization Writing - review and editing Data curation Wang Peng 4 Writing - review and editing Data curation Sun Jingjing 1 2 Writing - review and editing Data curation Zhang Xuewei 1 2 Writing - review and editing Data curation Wang Juanling 5 Project administration Writing - review and editing Sun Qihao 6 Project administration Writing - review and editing Li Kang 1 Methodology Writing - review and editing National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, China Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing, China School of Geology and Mining Engineering, Xinjiang University, Urumqi, China Beijing Engineering Corporation Limited, Beijing, China China Railway Xi’an Group Company Limited, Xi’an, Shaanxi, China China Railway Design Corporation, Tianjin, China Correspondence: Chong Xu, xc11111111@126.com 11 02 2026 2026 14 1791906 20 01 2026 22 01 2026 05 02 2026 Copyright © 2026 Liu, Xu, Feng, Wang, Sun, Zhang, Wang, Sun and Li. 2026 Liu, Xu, Feng, Wang, Sun, Zhang, Wang, Sun and Li https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. A Correction on Spatial distribution patterns and landslide susceptibility analysis from a global–local perspective along the Zhuzhou-Guangzhou section of the Beijing–Guangzhou railway by Liu H, Xu C, Feng L, Wang P, Sun J, Zhang X, Wang J, Sun Q and Li K (2026). Front. Earth Sci. 13:1722201. doi: 10.3389/feart.2025.1722201 landslide susceptibility assessment spatial distribution patterns random forest Beijing-Guangzhou railway shap section-at-acceptance Geohazards and Georisks

A correction has been made to the section 4.3 Global Susceptibility Assessment of Large-Scale Landslide Relics, paragraph 2. The numerical values describing the areal extent of susceptibility zones were incorrectly transcribed. The correct paragraph appears below:

“As shown in Figure 22, the high and very high susceptibility zones in the study area are primarily concentrated in the central and southern regions. Furthermore, high and very high susceptibility zones are also observed in the northeastern part of the study area. The area of each susceptibility zone was statistically analyzed, and the area ratios were calculated. The results show that the very low susceptibility zone covers approximately 43,034.36 km2, accounting for 38.64% of the total study area; the low susceptibility zone covers about 23,240.75 km2, representing 20.87%; the moderate susceptibility zone covers roughly 18,063.42 km2, accounting for 16.22%; the high susceptibility zone covers approximately 15,939.49 km2, making up 14.31%; and the very high susceptibility zone covers around 11,092.54 km2, which is 9.96% of the total study area (Table 3). Overall, the southern section of the Beijing-Guangzhou Railway from Zhuzhou to Guangzhou is more prone to landslide hazards compared to the northern section, likely due to the steeper terrain and higher landslide risk in the southern region. Therefore, it is recommended that relevant authorities enhance monitoring and early warning systems in these high-risk areas, develop targeted disaster prevention and mitigation measures, and improve local residents’ awareness of disaster prevention and emergency response capabilities.”

The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Edited and Reviewed by Gordon Woo, Risk Management Solutions, United Kingdom