|Table of Contents|

Spatiotemporal Evolution Patterns of Soil Erosion in Qinling-Daba Mountains, China and Their Multi-factor Interactive Driving Mechanisms(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2025年第06期
Page:
1086-1098
Research Field:
环境与可持续发展
Publishing date:

Info

Title:
Spatiotemporal Evolution Patterns of Soil Erosion in Qinling-Daba Mountains, China and Their Multi-factor Interactive Driving Mechanisms
Author(s):
LI Xin-yue1; 2;  HUO Ai-di2; 3*;  LIU Qi2; 3;  LIU Feng2; 3;  LI Pei-zhe1; 2
(1. School of Land Engineering, Chang'an University, Xi'an 710054, Shaanxi, China; 2. Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an 710054, Shaanxi, China; 3. School of Water and Environment, Chang'an University, Xi'an 710054, Shaanxi, China)
Keywords:
soil erosion;  RUSLE model;  geodetector;  spatial heterogeneity;  driving mechanism;  Qinling-Daba Mountains
PACS:
S157.1
DOI:
10.19814/j.jese.2025.03017
Abstract:
As a critical ecological barrier in China, Qinling-Daba Mountains play an essential role in regional ecological security. Understanding the spatiotemporal evolution of soil erosion in this region is crucial for ecological conservation, particularly regarding the driving mechanisms, interactions between natural and anthropogenic factors, and their spatiotemporal heterogeneity. Revised universal soil loss equation(RUSLE)model, in combination with erosion intensity transition matrices and a geodetector analysis, was applied to reveal the spatiotemporal patterns and multi-factor driving mechanisms of soil erosion in Qinling-Daba Mountains from 2002 to 2022. The results show that ① the annual average erosion modulus shows an initial increase followed by a decrease; soil erosion is primarily slight or mild, accounting for more than 81% of the total area; all erosion intensity levels exhibit transition characteristics, with slight and mild erosion showing the highest proportion of area undergoing transitions; these two categories are also the main transition-in types, while mild erosion has the largest transition-out area, amounting to 23 163.63 km2(7.72% of the total area). ② Natural factors including slope(q=0.69)and rainfall erosivity(q=0.68)dominate the erosion pattern; early human activities exacerbate erosion through land-use changes, while later vegetation restoration contributes to its mitigation; among the factor interactions, the combination of slope and rainfall erosivity is the strongest(q=0.87), followed by slope and land use(q=0.80); slope also exhibits pronounced nonlinear enhancement effects when interacting with other factors. ③ From 2002 to 2022, soil erosion hotspots are mainly concentrated in forest land, grassland, water bodies, and slope zones between 15° and 25°.

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