Quantitative analysis of driving factors in soil erosion using geographic detectors in Qiantang River catchment, Southeast China

doi:10.1007/s11368-020-02756-3

	Quantitative analysis of driving factors in soil erosion using geographic detectors in Qiantang River catchment, Southeast China
	Liang, Shizhengxiong 1,2; Fang, Haiyan 1,2
刊名	JOURNAL OF SOILS AND SEDIMENTS
	2020-08-22
页码	14
关键词	Qiantang River catchment RUSLE Soil erosion Geographic detectors Driving factors
ISSN号	1439-0108
DOI	10.1007/s11368-020-02756-3
通讯作者	Fang, Haiyan(fanghy@igsnrr.ac.cn)
英文摘要	Purpose Soil erosion has received enormous attention from the scientific community and government across the world. This study aims to detect those important driving factors and their potential interactions on soil erosion. Findings would facilitate the rational development of soil and water conservation. Materials and methods Here, soil erosion was simulated using the Revised Universal Soil Loss Equation (RUSLE) in the Qiantang River catchment, southeast China, for the period of 2006-2015. Contributions to soil erosion by six driving factors including land cover type, annual rainfall, elevation, slope, soil type, and vegetation coverage were quantitatively analyzed via Qiantang River Catchment geographic detectors. Results and discussions The results suggest that vegetation coverage explains 7.28% of soil erosion distribution, and the impact of vegetation coverage on soil erosion is significantly larger than that of the other five driving factors (p < 0.05). In recent years, the explanatory power of vegetation coverage to soil erosion has experienced a change from increasing to decreasing trend. The interaction between vegetation coverage and slope explains up to 32.69% of soil erosion distribution, and an increasing trend has been detected in the explanatory power of this interaction. The spatial heterogeneity of soil erosion can be well understood by vegetation coverage and elevation. The high-risk areas are featured by elevation ranging from 1135 to 1777 m or vegetation coverage between 50 and 62%. Changes in vegetation coverage and its spatial distribution at different elevations are the main causes of the variations in the explanatory power. Conclusions The spatial analysis and quantitative analysis of six driving factors in soil erosion have improved the understanding of the heterogeneity in soil erosion. Measures in soil and water conservation should be strengthened in high-risk areas. The interaction between vegetation coverage and slope is the dominating contributor to soil erosion. The study provides a scientific basis for rational prevention of soil erosion in the Qiantang River catchment.
资助项目	National Natural Science Foundation of China[41977066]
WOS关键词	LAND-USE ; PATTERNS
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000561719900001
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157988]
专题	中国科学院地理科学与资源研究所
通讯作者	Fang, Haiyan
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liang, Shizhengxiong,Fang, Haiyan. Quantitative analysis of driving factors in soil erosion using geographic detectors in Qiantang River catchment, Southeast China[J]. JOURNAL OF SOILS AND SEDIMENTS,2020:14.
APA	Liang, Shizhengxiong,&Fang, Haiyan.(2020).Quantitative analysis of driving factors in soil erosion using geographic detectors in Qiantang River catchment, Southeast China.JOURNAL OF SOILS AND SEDIMENTS,14.
MLA	Liang, Shizhengxiong,et al."Quantitative analysis of driving factors in soil erosion using geographic detectors in Qiantang River catchment, Southeast China".JOURNAL OF SOILS AND SEDIMENTS (2020):14.