What are the dominant influencing factors on the soil erosion evolution process in the Yellow River Basin?

Wu, Hongwei; Guo, Bing; Xue, Haorun; Zang, Wenqian; Han, Baomin; Yang, Fei; Lu, Yihuan; Wei, Cuixia

doi:10.1007/s12145-021-00655-w

Cited by 10 publications

(6 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the different types of land, forestland and grassland have a high degree of erosion, which is affected by vegetation coverage and land use intensity of various types of land. In the studies about YRB [ 61 , 62 ], soil erosion in YRB is declining, in which topography is the important influencing factors, and our conclusion is the same as that. Different from their research, we only analyzed the influencing factors in 2020 and lacked the comparative analysis of the changes of the main influencing factors in each period.…”

Section: Discussionsupporting

confidence: 73%

Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

Zhang,

Liu

et al. 2024

Heliyon

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 73%

Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

Zhang,

Liu

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…This study attempted to combine SC drivers and VCS into a framework to understand the influence of these factors on the spatial variation of VCS from the perspective of SC. The results show that the C ‐ and R ‐factors have the largest influence on VCS (Figures 8a and 9c), as explained by Wu et al (2021). They concluded that the C ‐ and R ‐factors are directly related to the effectiveness of SC management in the Yellow River Basin, thereby significantly influencing the spatial variation in VCS.…”

Section: Discussionsupporting

confidence: 67%

“…Since 2000, large‐scale SC measures such as the Grain for Green project, improving sloping farmland, and building soil‐retaining dams, have been implemented in the Yellow River Basin, thereby advanced SC to a new stage (Wu et al, 2021). The results of the study show that VCS in the Yellow River Basin showed a significant increase from 2000 to 2020, with the central part of the eastern monsoon ecoregion showing a rapid growth rate (Figure 3a,c).…”

Section: Discussionmentioning

confidence: 99%

Effects of soil conservation on the spatial heterogeneity of vegetation carbon sequestration in the Yellow River Basin, China

et al. 2023

View full text Add to dashboard Cite

An improved understanding of the potential controls on vegetation carbon sequestration (VCS) is essential for the prediction of VCS in response to global change. Ecosystem restoration can provide remarkable contributions to VCS. However, attention to the impact of soil conservation (SC) on VCS is lacking. Therefore, the Yellow River Basin, a typical area of soil erosion in the world, was chosen as the study area. The VCS and SC trends from 2000 to 2020 were analyzed and the potential response of VCS to SC was explored by adopting correlation analysis, elastic coefficient method, geographically weighted regression model, and geographical detector model. The influence of SC drivers on the spatial heterogeneity of VCS was also revealed. Results showed the following: (1) VCS and SC had a significant upward trend, especially in the eastern monsoonal ecoregion. (2) The area with a significant positive correlation between VCS and SC accounted for 31.74% of the total, mainly concentrated in the key areas of SC, wherein a 100% increase in SC would lead to a 25%–100% increase in VCS. (3) Among the SC drivers, vegetation cover and management (C) factor and rainfall erosion force (R) factor mainly influenced spatial heterogeneity in VCS, and their interaction considerably enhances this effect. Therefore, the interaction between precipitation and vegetation should be considered when evaluating the impact of water erosion management on VCS. The results of the study have important implications for the enhancement of VCS capacity of degraded land in the ecological restoration process.

show abstract

“…SE in IRB was close to that in the Taohe River Basin. The Taohe River is the second tributary of the Yellow River and precipitation changes are the major cause of local SE changes in the corresponding basin [153]. IRB generally receives more precipitation than the other three basins in this study, which may explain the similarity in SE between IRB and the Taohe River Basin.…”

Section: Feedback Relationship Between Changing Environment and Water...mentioning

confidence: 69%

Effects of Vegetation Change on Soil Erosion by Water in Major Basins, Central Asia

Qian

Wang

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

The uncertainties in soil erosion (SE) are further intensified by various factors, such as global warming, regional warming and humidification, and vegetation cover changes. Moreover, quantitative evaluations of SE in major basins of Central Asia (CA) under changing environments have rarely been conducted. This study conducted quantitative evaluation of SE in four major basins (Syr Darya Basin (SDB), Amu Darya Basin (ADB), Ili River Basin (IRB) and Tarim River Basin (TRB) using the Revised Universal Soil Loss Equation (RUSLE) and analyzed the main driving factors. SE quantities in the basins presented relatively consistent upward fluctuating trends from 1982 to 2017. Vegetation cover variation fluctuated significantly from 1982 to 2017. Specifically, vegetation cover decreased continuously in SDB, ADB, and IRB, but increased gradually in TRB. Pixels with positive spatial variation of vegetation mainly occurred around lakes and oases near rivers. The Normalized Difference Vegetation Index (NDVI) showed higher correlation with precipitation (80.5%) than with temperature (48.3%). During the study period, the area of arable land (AL) exhibited the largest change among all land use types in CA. Under long-term human activities, the proportion of NDVI of other land types converting to AL was the highest. In the structural equation model (SEM), precipitation, temperature, Shannon Diversity Index (SHDI), and NDVI strongly influenced SE. Overall, the major basins in CA were jointly affected by climate, human activities, and vegetation. Specifically, climatic factors exerted the strongest influence, followed by SHDI (human activities). SE was found to be relatively serious in ADB, SDB, and IRB, with SE in SDB even approaching that in the Loess Plateau. Under the background of global changes, appropriate water and land resource management and optimization configurations should be implemented in CA with reference to TRB in order to relieve local SE problems.

show abstract

What are the dominant influencing factors on the soil erosion evolution process in the Yellow River Basin?

Cited by 10 publications

References 53 publications

Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

Effects of soil conservation on the spatial heterogeneity of vegetation carbon sequestration in the Yellow River Basin, China

Effects of Vegetation Change on Soil Erosion by Water in Major Basins, Central Asia

Contact Info

Product

Resources

About