Rainfall-induced Mass Movement as Self-organization Process
Zhengjing Ma, Gang Mei, Nengxiong Xu, Yongshuang Zhang, Jianbing Peng

TL;DR
This study reveals that rainfall-induced mass movements on Earth's surface exhibit self-organizing patterns characterized by specific geometric signals, hierarchical scaling, and top-down information flow, providing insights into their predictability and dynamics.
Contribution
The paper uncovers the organizational principles of rainfall-induced mass movements through geometric analysis and introduces a simple terrain-inertia model demonstrating large-scale coherence.
Findings
Identified three geometric signals (width, sinuosity, curvature) with shared patterns.
Discovered a hierarchical scaling pattern (4-3-2) in geometric signals.
Confirmed a top-down organization in mass movement processes.
Abstract
Self-organizing processes shape Earth's surface, creating complex patterns from simple rules in most landforms. Rainfall-induced mass movements dramatically reshape landscapes through rapid sediment transfer, but whether they self-organize remains unknown. Here we decode their organizational principles by treating spatial changes in scar geometries as fingerprints of the movement process. In 65,936 scars worldwide, we discovered three geometric signals from width, sinuosity and curvature converge on shared patterns and identify a slow-to-fast hierarchy characteristic of self-organizing landforms: long-range correlations show width retaining spatial memory while curvature decorrelates quickly; power spectra quantify a 4-3-2 hierarchy (width-sinuosity-curvature) in scaling exponents; and information flow confirms a top-down organization (width-sinuosity-curvature). Although entropy…
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Taxonomy
TopicsEcosystem dynamics and resilience · Micro and Nano Robotics · Geology and Paleoclimatology Research
