From hazard mapping to risk governance: 20-year trajectory of land use/cover change impacts on landslide susceptibility via multi-modal scientometrics

Hao Zhu, Xing Zhu (), Qiang Xu, Xiaodi Fu, Mingyang Li, Xugong Jia and Zhujun Fan
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Hao Zhu: Chengdu University of Technology
Xing Zhu: Chengdu University of Technology
Qiang Xu: Chengdu University of Technology
Xiaodi Fu: Chengdu University of Technology
Mingyang Li: Chengdu University of Technology
Xugong Jia: Chengdu University of Technology
Zhujun Fan: China Power Engineering Consulting Group (China)

Humanities and Social Sciences Communications, 2025, vol. 12, issue 1, 1-14

Abstract: Abstract Global land use/cover change (LUCC) critically governs landslide risk through altered surface material dynamics. Despite increasing research focus on this issue, systematic mapping of LUCC-landslide interdependencies and their cascading impacts remains lacking. Our analysis of 102 studies (2002–2024) from Web of Science, Scopus, and Engineering Village outlines three developmental stages in this field: (1) empirical correlation studies (2002–2010), (2) process-based modeling (2011–2018), and (3) risk scenario projections (2019–2024). Key findings establish forest cover transitions and urban expansion as primary susceptibility drivers, whereas other LUCC impacts exhibit context-dependence on land conversion trajectories. Our synthesis highlights four critical research gaps. (1) Mechanistic cognitive gap: over 80% of studies are overly focused on model optimization and neglect physical process elucidation. (2) Geospatial bias: Approximately 80% of studies concentrated in Asia, and less than 5% in high-risk Oceania/South America. (3) Temporal ambiguity: Ambiguity in temporal effects of LUCC interventions (e.g., temporal fluctuations in landslide suppression post-afforestation). (4) Neglected synergistic mechanisms: Inadequate understanding of synergistic mechanisms between LUCC transition chains and natural factors (geological and climatic). This paper proposes a targeted solution to address these limitations and advance the field. Furthermore, a sustainable land management framework is developed, integrating resilience enhancement, risk governance, human-land relationship optimization, and dynamic risk response mechanisms.

Date: 2025
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DOI: 10.1057/s41599-025-05831-7

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