Spatial–temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change

Xiao, Jing; Yang, Jinfu; Guo, Bing; Lu, Yihuan; Zhang, Rui; Zhang, Dafu; Zhen, Xiaoyan; Chen, Shuting; Wu, Hongwei; Wei, Cuixia; Yang, Luoan; Zhang, Yi; Zang, Wenqian; Huang, Xiangzhi; Sun, Guangqiang; Zhen, Wang

doi:10.1080/19475705.2020.1861112

Cited by 40 publications

(9 citation statements)

References 34 publications

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“…This change has led to a significant increase in vegetation coverage, which has effectively controlled soil erosion intensity in the region. Remote sensing monitoring and soil erosion model estimation have confirmed these findings, demonstrating a clear correlation between changes in vegetation coverage and effective soil erosion control [28,29,35]. However, from a spatial perspective, soil erosion in small catchments in the Loess Plateau exhibits a distinct spatial distribution pattern that is closely associated with land use patterns and watershed topography factors.…”

Section: Discussionmentioning

confidence: 89%

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Spatial-temporal variation and correlation between vegetation coverage and soil conservation of Ten Kongdui watershed in the Yellow River basin

Yang,

Zeng,

Guo

et al. 2024

Environ. Res. Commun.

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The Ten Kongdui watershed is an essential part of the upper Yellow River baisn of China. By studying the spatio-temporal changes and spatial correlation between vegetation cover and soil conservation, the inhibition effect of vegetation on soil erosion in time and space can be clarified, and the driving factors of soil erosion in a certain area can be further explained. The research results provide data support for artificial vegetation construction and soil erosion control in the Yellow River basin in the future.The research shows that: (1) During the research period, the vegetation coverage maintained an increasing trend in Ten Kongdui watershed; (2) From 2000 to 2020, with the increased vegetation coverage, soil retention increased, indicating that increasing vegetation coverage can effectively prevent soil erosion; and (3) Vegetation coverage and soil conservation presented a local spatial auto-correlation, Moran's I index was less than 0, but the years from 2000 to 2020 witnessed gradual growth of the correlation coefficient. There are significant differences in spatial distribution. "High-high" and "low-low" are sporadically distributed in the sandstorm area on the middle reaches of Kubuqi and sporadically in the hilly and gully areas on the upper reaches. Moreover, "high-low" and "low-high" correlation coefficients were distributed in gully areas on the upper reaches and alluvial plains on the lower reaches. The alluvial plains on the lower reaches are mainly farmland ecosystems, with a high NDVI in the growing season but poor soil erosion resistance and weak soil conservation ability. The results emphasized the importance of vegetation coverage change in space for soil conservation of different type of underlying surfac

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Section: Discussionmentioning

confidence: 89%

“…When SNDVI > 0, NDVI presents the increasing , and SNDVI<0 indicates declining in NDVI. Mann-Kendall used to determine the significance of trends [29], expressed by the following formula:…”

Section: Trend Analysis and Inspectionmentioning

confidence: 99%

Spatial-temporal variation and correlation between vegetation coverage and soil conservation of Ten Kongdui watershed in the Yellow River basin

Yang,

Zeng,

Guo

et al. 2024

Environ. Res. Commun.

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“…The areas with a large negative effect of K ‐factor are concentrated in the central part of the eastern monsoon ecoregion, and the soil type is mainly loess soil. The low organic matter content, low water content, and weak soil erosion resistance of this region are mostly distributed in areas with fragmented topography, high slope, and intensive precipitation with poor soil retention effect (Yang et al, 2021), which has a coercive effect on VCS to a certain extent. The areas with a large positive effect of the K‐ factor are concentrated in the central part of the Tibetan alpine ecoregion, where the soil type is mainly felty soils.…”

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

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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.

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“…Based on these policies, in the past 20 years, the ecological vulnerability level of the Yellow River Basin showed an irregular downward trend in the whole basin, and the decline was more evident in the middle and upper reaches [9]. The soil erosion intensity generally showed a trend of increasing and then decreasing [10].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Changes of Ecological Environment Quality Based on RSEI: A Case Study in Ulan Mulun River Basin, China

et al. 2022

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The Ulan Mulun River Basin is an essential ecological protective screen of the Mu Us Desert and a necessary energy base in Ordos City. With the acceleration of industrialization and urbanization, human activities have caused enormous challenges to the local ecological environment. To achieve the region’s economic sustainability and make local development plans more objective, it is necessary to evaluate the basin’s ecological environment quality over a period of time. First, in the Landsat historical images, we selected 5 years of data to investigate the changes in this time-period (2000–2020). Second, based on the opened remote sensing database on Google Earth Engine, we calculated the remote-sensing ecological index (RSEI) distribution map. RSEI includes greenness, temperature, humidity, and dryness. Thirdly, we assessed the ecological-environmental distribution and change characteristics in the Ulan Mulun River Basin. Finally, we analyzed the RSEI spatial auto-correlation distribution characteristics in the study area. The mean values of RSEI in 2000, 2005, 2010, 2015, and 2020 were 0.418, 0.421, 0.443, 0.456, and 0.507, respectively, which indicated that the ecological environment quality had gradually improved. The ecological environment quality from 2000 to 2005 had the biggest change, as the area with drastically changed water levels accounted for 78.98% of the total basin. It showed a downward trend in the central and western regions. It showed an upward trend in the eastern region. For 20 years, the area of deterioration decreased by 24.37%, and the slight change area increased by 45.84%. The Global Moran’s I value ranged from 0.324 to 0.568. The results demonstrated that the Ulan Mulun River Basin ecological environment quality spatial distribution was positively correlated, and the clustering degree decreased gradually. Local spatial auto-correlation of RSEI showed that high-high(H-H) was mainly distributed in the basin’s eastern and southern regions, where the population density was low and the vegetation was in good condition. Low-low(L-L) was mainly distributed in the basin’s central regions and western regions, where the population density was high, and the industrial and mining enterprises were concentrated. This study provided a theoretical basis for the sustainable development of the Ulan Mulun River Basin, which is crucial for the local ecological environment and economic development.

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Spatial–temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change

Cited by 40 publications

References 34 publications

Spatial-temporal variation and correlation between vegetation coverage and soil conservation of Ten Kongdui watershed in the Yellow River basin

Spatial-temporal variation and correlation between vegetation coverage and soil conservation of Ten Kongdui watershed in the Yellow River basin

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

Temporal and Spatial Changes of Ecological Environment Quality Based on RSEI: A Case Study in Ulan Mulun River Basin, China

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