Soil erosion calculation in the hydro-fluctuation belt by adding water erosivity factor in the USLE model

Xin, Zhi-yuan; Xia, Jianrong

doi:10.1007/s11629-020-6041-3

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…China has more reservoir dams than any other country in the world [21]. Reservoirs, formed by reservoir construction, are characterized by complex topographic conditions, concentrated rainfall, significant regional temperature, distinct soil properties, and severe soil erosion [22]. They also play a key role in the functioning of local ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Interacting Effects of Land Use Type, Soil Attributes, and Environmental Factors on Aggregate Stability

Lei

Wei

et al. 2023

Land

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Soil erosion and surface pollution near reservoirs can adversely affect water quality and safety. Soil aggregate stability is an important predictor of soil water loss and erosion resistance that is strongly influenced by land use. This study therefore aimed to identify factors affecting soil aggregate stability near reservoirs to provide empirical and theoretical insights that could guide the development of management measures to increase land quality, optimize land use, and maximize sustainability. This study focuses on the land around the Shitoukoumen Reservoir in China and examines the effects of six land use types, eleven soil physicochemical properties, and five environmental factors. Ninety-four sets of soil samples were collected in 2021 for analysis of soil aggregates and properties. Particle size classification of soil aggregates was carried out using the wet sieve method and four indicators were calculated to evaluate the effects of land use, soil physicochemical properties, and environmental factors on soil aggregate stability: water stable aggregates (WSA), mean weight diameter (MWD), geometric mean diameter (GMD), and fractal dimension (D). Descriptive statistics and geostatistics were used to explore the spatial distributions of soil aggregate stability around the reservoir and the influence of soil properties was studied using correlation analysis and path analysis. The conclusion indicates that land use type significantly affects aggregate stability. The most stable aggregates were found in paddy fields (WSA = 0.77, MWD = 0.76, GMD = 0.57) and forests (WSA = 0.75, MWD = 0.76, GMD = 0.55), followed by an orchard, irrigated land, and grassland. Aggregate stability was worst in upland sites (WSA = 0.61, D = 2.28), where soil aggregates were highly fragmented. There were clear spatial correlations between all four stability indicators. The environmental factors and soil physicochemical characteristics with the strongest influence on aggregate stability were soil organic matter, pH, soil clay content, total nitrogen, and temperature changes. Path analysis revealed that some soil properties affect aggregate stability indirectly, with particularly complex relationships between clay, soil organic matter, and pH. In conclusion, land use type, soil organic matter, pH, soil clay content, total nitrogen, these soil physicochemical properties, and environmental factors, especially temperature, significantly affect soil aggregate stability around reservoirs. In the future, it is necessary to appropriately change upland into paddy land, increase forest land, and appropriately add organic fertilizer to improve soil quality.

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Section: Introductionmentioning

confidence: 99%

Interacting Effects of Land Use Type, Soil Attributes, and Environmental Factors on Aggregate Stability

Lei

Wei

et al. 2023

Land

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“…of regional soil erosion, including the universal soil loss equation (USLE) [1] [2] [3], the general soil loss equation water erosion prediction watershed model (Water Erosion Prediction Project, WEPP) [4] [5] [6], the Chinese soil loss equation (CSLE) [7], the Limburg Soil Erosion Model (LISEM) established in the Loess region of the Netherlands [8], and the European soil erosion model (EUROSEM) proposed by Morgan et al [9]. Meanwhile, the new soil erosion equation of A=CSLKP proposed by Smith and Whitt [10], the soil erosion model (SWAT) for predicting the long-term impact of land management practices on watershed runoff and sediment yield [11], and the revised universal soil loss equation (RUSLE) [12] [13] [14] include many soil erosion calculation models.…”

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confidence: 99%

Research on Soil Erosion Intensity and Spatial Distribution Characteristics in Zhaoyang District of Zhaotong City Based on RS and GIS

Pan,

Wang,

2023

IJEAB

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This article takes Zhaoyang District, Zhaotong City, Yunnan Province, as the study area. By obtaining basic data such as rainfall, soil texture data, digital elevation, land use, and remote sensing images, the RUSLE model is used to estimate the soil erosion modulus in Zhaoyang. Based on this, the soil erosion classification and soil erosion of different land use types in the study area are analyzed. The results have shown that the soil erosion intensity in Zhaoyang, shows a pattern of increasing from southeast to northwest. Most of the land is subject to slight erosion, followed by mild and moderate erosion. The strongly eroded soil is concentrated in the northwest and is greatly affected by altitude and slope factors. The proportion of soil micro erosion is 64.4%, the proportion of mild erosion area is 17.58%, the proportion of moderate erosion area is 11.99%, and the proportion of strong erosion, extremely strong erosion, and severe erosion area are 3.74%, 1.55%, and 0.74%, respectively. The erosion amount of land use types such as construction land and water bodies is very small, and overall it is at a micro erosion level. Shrubs, forests, and grasslands are the main sources of regional erosion, and the soil erosion intensity of cultivated land is high.

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Effects of vegetation restoration on carbonate‐derived laterite erodibility in karst mountain areas

2022

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Vegetation restoration can exert a profound influence on surface soil characteristics, which likely plays a significant role in the evolution of soil erodibility. This study was conducted to quantify the effects of vegetation restoration on the soil erodibility of carbonate-derived laterite in karst areas. Experiments were conducted at two representative sites for different years of vegetation restoration. Six karst mountain land use types [grassland (Y1), shrubland (Y2) and woodland (Y3) in young forest (YF); forest trails (O1), shrubland (O2) and woodland (O3) in old forest (OF)]. A structural equation model and random forest regression analysis were applied to distinguish the key environmental factors dominating soil erodibility. The results showed that the soil erodibility K factor exponentially decreased with increasing restoration age and tended to remain stable after 20 years (y = 0.0466 + 0.0316e À0.2889x , R 2 = 0.98). The K factor in the OF decreased by an average of 2.1%-14.8% compared to those in the YF. A structural equation model indicated that vegetation restoration indirectly reduced soil erodibility by altering plant growth and coverage and its associated soil property changes. A random forest regression analysis of global datasets indicated that soil erodibility is mainly affected by topographical factors (i.e., latitude, elevation and slope), and their mean decrease accuracy values (IncMSE) exceeded 20%. Both forestland and shrubland were not considered as the most important factors for affecting global soil erodibility. Conversely, grassland, cropland and bare land were among the important factors. These results could guide the potential benefits of vegetation restoration strategies to meet soil conservation and ecosystem function goals in karst mountain ecosystems.

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Soil erosion calculation in the hydro-fluctuation belt by adding water erosivity factor in the USLE model

Cited by 8 publications

References 25 publications

Interacting Effects of Land Use Type, Soil Attributes, and Environmental Factors on Aggregate Stability

Interacting Effects of Land Use Type, Soil Attributes, and Environmental Factors on Aggregate Stability

Research on Soil Erosion Intensity and Spatial Distribution Characteristics in Zhaoyang District of Zhaotong City Based on RS and GIS

Effects of vegetation restoration on carbonate‐derived laterite erodibility in karst mountain areas

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