Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong

Context The conservation of soil and water has become an important foundational project of worldwide social and economic development in the 21st century, especially for the protection and development of critical ecological function areas in Western China. Aims To clarify the current status of soil erosion and its drivers in the alpine temperate forest-grass subregion of Qilian Mountains in Qingdong (ATFSQMQ). Methods Based on GIS technology, the Universal Soil Loss Model (RUSLE) and Geographical detector were used to simulate the extent of soil erosion and assess the drivers of soil erosion in the ATFSQMQ from 2001 to 2020, and the Patch-generating Land Use Simulation (PLUS) model and Coupled Model Intercomparison Project Phase 6 (CMIP6) model were used to predict the future soil erosion in the study area. Key results (1) The soil erosion modulus of the ATFSQMQ decreased going from northwest to southeast, and soil erosion increased during the 2001–2020 period, and the average soil erosion modulus increasingly fluctuated. (2) Micro-erosion is the main form of soil erosion; from 2001 to 2020, regions with micro-erosion and mild erosion decreased, while those with moderate, strong, solid, and severe erosion increased slightly. (3) Vegetation cover is the dominant factor affecting soil erosion, and the synergistic effect of vegetation cover and precipitation has the highest explanatory power. Conclusions The soil erosion modulus fluctuated and increased from 2001 to 2020, but will gradually improve in the future. Implications The analyses in this paper can shed light on the current state of soil erosion and the drivers behind it, enabling the government to target soil erosion area management.

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Publication Details

Journal
Soil Research
Published
2024-08-29
DOI
https://doi.org/10.1071/sr24078
Citations
2
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.67

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article

Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong

Xiaohuang Liu, Jianli Ding, Wenbo Zhang, Chao Wang et al.
2 citations
Soil Research
Soil erosion and sediment transport
0.67
article

Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong

Xiaohuang Liu, Jianli Ding, Wenbo Zhang, Chao Wang, Honghui Zhao, Xinping Luo, Liyuan Xing, Ran Wang, Mingyuan Li
article en
2 citations

Abstract

Context The conservation of soil and water has become an important foundational project of worldwide social and economic development in the 21st century, especially for the protection and development of critical ecological function areas in Western China. Aims To clarify the current status of soil erosion and its drivers in the alpine temperate forest-grass subregion of Qilian Mountains in Qingdong (ATFSQMQ). Methods Based on GIS technology, the Universal Soil Loss Model (RUSLE) and Geographical detector were used to simulate the extent of soil erosion and assess the drivers of soil erosion in the ATFSQMQ from 2001 to 2020, and the Patch-generating Land Use Simulation (PLUS) model and Coupled Model Intercomparison Project Phase 6 (CMIP6) model were used to predict the future soil erosion in the study area. Key results (1) The soil erosion modulus of the ATFSQMQ decreased going from northwest to southeast, and soil erosion increased during the 2001–2020 period, and the average soil erosion modulus increasingly fluctuated. (2) Micro-erosion is the main form of soil erosion; from 2001 to 2020, regions with micro-erosion and mild erosion decreased, while those with moderate, strong, solid, and severe erosion increased slightly. (3) Vegetation cover is the dominant factor affecting soil erosion, and the synergistic effect of vegetation cover and precipitation has the highest explanatory power. Conclusions The soil erosion modulus fluctuated and increased from 2001 to 2020, but will gradually improve in the future. Implications The analyses in this paper can shed light on the current state of soil erosion and the drivers behind it, enabling the government to target soil erosion area management.

Soil ResearchVol. 62(6)
China Geological Survey (CN), Lux Research (United States) (US), Human Growth Foundation (US), Xinjiang University (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 27%
Soil erosion and sediment transport
0.67
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