干旱区生态环境知识资源中心(Arid): Spatiotemporal dynamics and driving factors of soil erosion in the Beiluo River Basin, Loess Plateau, China

Arid

DOI	10.1016/j.ecolind.2023.110976
	Spatiotemporal dynamics and driving factors of soil erosion in the Beiluo River Basin, Loess Plateau, China
	Wen, Boqing; Huang, Chenlu; Zhou, Chen; Zhang, Han; Yang, Qinke; Li, Manchun
通讯作者	Zhou, C ; Li, MC
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2023
卷号	155
英文摘要	Soil erosion reduces soil fertility and land productivity while enhancing desertification, which seriously threatens ecological security, carbon sequestration, and sustainable economic and social development. Therefore, it is fundamental to precisely assess the long-term dynamics of soil erosion and explore its drivers to control the risk of soil erosion. Currently, machine learning-based analyses of the factors driving soil erosion are lacking in the Beiluo River Basin (BRB), China. This paper aimed to investigate the spatiotemporal dynamics of soil erosion by the Chinese soil loss equation coupled with the gully erosion factor, and then reveal its driving factors using the Boosting Regression Tree method (BRT) and estimate the influence of drivers' interactions on soil erosion in the BRB between 1990 and 2017. The findings demonstrated that the expanded Chinese soil loss equation accurately explained the variations in soil erosion in the BRB. The range of average soil erosion rates was 2,852.83-800.35 t km(-2 )a(- 1). Steep gully farmland, particularly areas with relatively rough terrain, was more vulnerable to intense erosion. Soil erosion rates for different geomorphologies decreased as follows: hilly-gully areas > gully-plateau areas > alluvial river plains > Rocky Mountains. The major drivers affecting the soil erosion rate were the biomass control factor (B) and slope, followed by slope length (L) and slope steepness (S). B-soil erodibility (1990), B-LS (2000), LS-rainfall erosivity (2010), and slope-rainfall erosivity (2017) interactions had the greatest influence on soil erosion, with interaction intensities of 32.3%, 17.75%, 46.05%, and 35.69%, respec- tively. The average soil erosion rates according to land classification types decreased as follows: farmland > grassland > forest. The results indicate that water and soil conservation in the study area benefited greatly from implementation of the Grain for Green Program, with forests reducing erosion more effectively than grassland.
英文关键词	Chinese soil loss equation Loess Plateau Soil erosion Boosted regression tree
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001087607500001
WOS关键词	RAINFALL EROSIVITY ; YELLOW-RIVER ; LAND-USE ; RUNOFF ; PREDICTION ; VEGETATION ; NITROGEN ; TRENDS ; REGION ; USLE
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395969
推荐引用方式 GB/T 7714	Wen, Boqing,Huang, Chenlu,Zhou, Chen,et al. Spatiotemporal dynamics and driving factors of soil erosion in the Beiluo River Basin, Loess Plateau, China[J],2023,155.
APA	Wen, Boqing,Huang, Chenlu,Zhou, Chen,Zhang, Han,Yang, Qinke,&Li, Manchun.(2023).Spatiotemporal dynamics and driving factors of soil erosion in the Beiluo River Basin, Loess Plateau, China.ECOLOGICAL INDICATORS,155.
MLA	Wen, Boqing,et al."Spatiotemporal dynamics and driving factors of soil erosion in the Beiluo River Basin, Loess Plateau, China".ECOLOGICAL INDICATORS 155(2023).