Soil erosion evolution and spatial correlation analysis in a typical karst geomorphology using RUSLE with GIS

Zeng, Chaoliu; Wang, Shijie; Bai, Xiaoyong; Li, Yangbing; Tian, Yuan; Li, Yue; Wu, Luhua; Luo, Geping

doi:10.5194/se-8-721-2017

Cited by 93 publications

(47 citation statements)

References 38 publications

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“…These intensive human activities have greatly altered the geomorphology and hydrology of the landscape. Previous studies have focused on the effect of land use change (e.g., converting cropland into forest and grassland and sealing off mountainous areas for afforestation) on the k (Fang, ; Ouyang et al, ), the assessment of particular regions (e.g., the Tibetan Plateau, the Loess Plateau, and Karst geomorphology; Ban et al, ; Sun et al, ; Wang & Li, ; Zeng et al, ), mapping (Yao et al, ), and the relationships between the k and soil microbial properties (Gao et al, ; Zhang et al, ). In addition, some studies have used the RUSLE model to calculate the loss due to soil erosion (Feng et al, ; Liu & Fu, ).…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

et al. 2019

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Soil erosion occurs extensively across China, leading to severe degradation of the land and ecosystem services. However, the spatial and temporal variations in soil erodibility (k) and the distribution of soil erosion across land use types and slopes remain unclear. We synthesized the results from 325 sites published in 152 literatures to analyze the factors affecting the k, such as land use type, climate, topography, soil, and vegetation restoration age. The results showed that areas with slopes >25° had a larger k factor (k = 0.1047) than did those with slope <6° (k = 0.0637) or 6–25° (k = 0.0832). The k from 2006 to 2011 (k = 0.0725) was higher than that from 1999 to 2005 (k = 0.058) and that from 2012 to 2016 (k = 0.0631). The k value initially increased with vegetation restoration age and then gradually decreased. Land use also had an impact on the k factor, with the k factor of cropland (k = 0.0697) being higher than that of grassland (k = 0.0663) but lower than that of forest (k = 0.0967). Across China, North Shaanxi, Heilongjiang, and South Guizhou, which are located in the Loess Plateau in Northwest China, the Black Soil region of Northeast China, and the Karst areas in Southwest China, respectively, were the three most severely eroded regions due to hydraulic erosion, frost‐thaw erosion, and high‐intensity erosion, respectively. Overall, the most important factors affecting the k were soil characteristics, followed by topography and climate. Among them, soil nitrogen and precipitation were the two most critical factors influencing the k.

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Section: Introductionmentioning

confidence: 99%

Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

et al. 2019

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“…We used the Universal Soil Loss Equation (USLE), which has been successfully used in other karst areas in China, applying some variations to adapt for specific factors for each basin or watershed [24,25]. We hypothesize that the results of this study could provide not only a scientific basis on the prevention of soil loss, but also technical support for the sustainable use of water and land in the graben basin and karst regions of southwest China that have been highly affected by intensive land-use changes.…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic Disturbances and Precipitation Affect Karst Sediment Discharge in the Nandong Underground River System in Yunnan, Southwest China

Jiang

Chen

et al. 2020

Sustainability

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In fragile karst environments that have seen past and current human exploitation of agricultural and forest resources, the quantification of underground riverine sediment has been widely used to evaluate subterranean stream basin erosion. These measures are highly influenced by both precipitation and anthropogenic factors; therefore, soil erosion control measures must be urgently designed and applied. In this study, 17 years of sediment discharge across the Nandong underground river system in southwest China was monitored. To achieve this goal, the Mann-Kendal mutation test and proxy indicators were used to estimate the general influence of human activities and precipitation on sediment discharge. The results showed that: (1) Both anthropologic disturbance and rainfall have impacted the sediment discharge, although the influence of the anthropologic factor on sediment discharge was greater (61.53%), and (2) rainfall showed a hysteresis effect on sediment discharge. We obtained three different stages based on the mutation points and variation characteristics of the studied sediment discharge resulting from different driving forces, from 1998 to 2014. Prior to 2004, in the whole basin, the decrease of sediment yield was the result of the Natural Forest Protection Project. During the period from 2004 to 2008, due to continuous droughts, flood disasters, and intensive cultivation practices on the steeper hillslopes, the total sediment discharge of the whole basin increased. After 2009, the sediment discharge decreased due to the development of soil conservation projects and mushrooming reservoirs. These findings are expected to provide insights into watershed management and ecological restoration in fragile karst ecosystems, specifically, in southwestern Chinese river systems. More research must be conducted to monitor, with in situ measurements and observations, possible extreme events that can determine the exact erosion control measures that need to be designed and applied.

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“…Sloping terrain is an important factor that affects soil erosion and can perfectly appear in a catchment scale, thus many researches about soil erosion focus on the large basin, such as the Yangtze River Basin, the Yellow River Basin, and the Pearl River Basin [3][4][5]. Soil erosion by surface runoff has been widely studied compared with soil erosion by subsurface flow because the rate of soil loss on the surface is more easily observed directly [6]. However, soil erosion by subsurface runoff also causes serious ecological problems [7], for example, serious underground soil leaks in karst region of Southwest China [6].…”

Section: Introductionmentioning

confidence: 99%

“…Soil erosion by surface runoff has been widely studied compared with soil erosion by subsurface flow because the rate of soil loss on the surface is more easily observed directly [6]. However, soil erosion by subsurface runoff also causes serious ecological problems [7], for example, serious underground soil leaks in karst region of Southwest China [6]. Undoubtedly, direct measurement of the underground soil erosion rate is hardly season (May to October).…”

Section: Introductionmentioning

confidence: 99%

Effects of Soil Properties on K Factor in the Granite and Limestone Regions of China

Liu

Zhang

et al. 2020

IJERPH

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Soil erosion has become a serious ecological problem in many catchments. Soil erodibility K factor can be estimated based on a series of soil properties, however, the identification of dominant soil properties that affect K factor prediction at different soil types has been little concerned. In this study, 3 soil profiles from the Jiulongjiang River Catchment (JRC) of granite region in Fujian province and 18 soil profiles from the Chenqi Catchment (CC) of karst region in Guizhou province were selected. Soil properties, including soil particle size distribution, soil organic carbon (SOC) and soil organic nitrogen (SON) content, and soil pH, were determined, and the K factors were estimated in the erosion productivity impact calculator (EPIC) model. The soils in the granite region were characteristic for coarse texture, low SOC and SON, and strong acidity compared with limestone soils. Although the K factors in both regions ranged from 0.009 to 0.018, they were overestimated in limestone soils due to frequent soil aggregation, which enhanced soil permeability, hence reduced soil erodibility. The results of principal component analysis (PCA) and structural equation model (SEM) showed that (1) K factor estimation in the soils of the granite region mainly depended on soil texture, of which silt was the most important factor; (2) while K factor in limestone soils was mainly controlled by soil organic matter (SOM) content, other soil properties, including soil pH, clay and silt contents, could indirectly affect prediction of K factor by affecting SOM accumulation.

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Soil erosion evolution and spatial correlation analysis in a typical karst geomorphology using RUSLE with GIS

Cited by 93 publications

References 38 publications

Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

Anthropogenic Disturbances and Precipitation Affect Karst Sediment Discharge in the Nandong Underground River System in Yunnan, Southwest China

Effects of Soil Properties on K Factor in the Granite and Limestone Regions of China

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