Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method

doi:10.1007/s11442-019-1596-z

	Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method
	Wang Huan 1,2; Gao Jiangbo 1; Hou Wenjuan 1
刊名	JOURNAL OF GEOGRAPHICAL SCIENCES
	2019-02-01
卷号	29 期号:2 页码:271-286
关键词	soil erosion distribution influencing factors RUSLE model geodetector karst Sancha River basin
ISSN号	1009-637X
DOI	10.1007/s11442-019-1596-z
通讯作者	Gao Jiangbo(gaojiangbo@igsnrr.ac.cn)
英文摘要	The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant (q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes (such as dry land with slopes of 5 degrees and above 25 degrees) or in the diverse land use types with the same slope (such as dry land and forest with a slope of 5 degrees), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.
资助项目	National Basic Research Program of China[2015CB452702] ; National Natural Science Foundation of China[41671098] ; National Natural Science Foundation of China[41530749]
WOS关键词	ROCKY DESERTIFICATION ; LAND-USE ; SLOPES ; RUNOFF ; CHINA ; DEPRESSION
WOS研究方向	Physical Geography
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000455153300007
资助机构	National Basic Research Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/50561]
专题	中国科学院地理科学与资源研究所
通讯作者	Gao Jiangbo
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang Huan,Gao Jiangbo,Hou Wenjuan. Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2019,29(2):271-286.
APA	Wang Huan,Gao Jiangbo,&Hou Wenjuan.(2019).Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method.JOURNAL OF GEOGRAPHICAL SCIENCES,29(2),271-286.
MLA	Wang Huan,et al."Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method".JOURNAL OF GEOGRAPHICAL SCIENCES 29.2(2019):271-286.