Fractal features of soil particle size distribution in newly formed wetlands in the Yellow River Delta

Yu, Junbao; Lv, Xiaofei; Ma, Ben; Wu, Huifeng; Du, Siyao; Zhou, Mo; Yang, Yanming

doi:10.1038/srep10540

Cited by 31 publications

(28 citation statements)

References 37 publications

(58 reference statements)

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“…with the development of the laser diffraction technique, soil fractal dimensions have received increasing attention (Kong and Song, 2015;Li et al, 2016;Peng et al, 2015). The volume-based fractal model has been proven to be ideal for evaluating and describing soil hydraulic properties as well as soil physical properties and potential (Jin et al, 2013;Montero, 2005;Posadas et al, 2001;Wang et al, 2011;Yang et al, 2008;Yu et al, 2015a).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…The soil particle-size distribution has been found to be essential to the formation of soil structure and soil nutrient conservation (Jiménez et al, 2008;Liu et al, 2016a;Marques et al, 2015;Peng et al, 2015;Sun et al, 2016a;Yu et al, 2015a). Fine particles smaller than 50 μm (clay and silt) retain soil organic carbon better than coarse sand; therefore, nutrient and soil organic carbon losses mainly occur because of the loss of clay and silt from soils (Jin et al, 2013;Wang et al, 2007;Zhao et al, 2014).…”

Section: A C C E P T E D Mmentioning

confidence: 99%

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Relationship between soil water content and soil particle size on typical slopes of the Loess Plateau during a drought year

Zhang

Zhao

Wang

et al. 2019

Science of The Total Environment

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In the context of global climate change as well as local climate warming and drying on the Loess Plateau of China, understanding the relationship between soil particle size and soil water distribution during years of atypical precipitation is important. In this study, fractal geometry theory is used to describe the mechanical composition and texture of soils to improve our understanding of hydropedology and ecohydrology in the critical zone on the Loess Plateau. One grassland slope and two shrubland slopes were selected in the hilly and gully region of the Loess Plateau, and soils were sampled along hillslope transects at depths of 0-500 cm. Fractal theory and redundancy analysis (RDA) were used to identify relationships between the fractal dimension of soil particle-size distributions and the corresponding van Genuchten parameters for the soil-water-characteristic curves. The oven-drying method was used to measure soil water content, and the high-speed centrifugation method was used to generate soil-water-characteristic curves. The results show that (1) the soil water that can be used by Caragana korshinskii during a drought year is distributed below 2 m from the surface, whereas the soil water that can be used by grass is below 1.2 m; (2) Caragana korshinskii promotes the conservation of fine soil particles more than does natural restored grass, and the soil particle-size distribution fractal dimension changes with depth and position; and (3) soil hydraulic properties correlate strongly with soil pedological properties such as bulk density and the soil particle-size distribution fractal dimension. These results provide a case study of the relationships among soil distributions, hydrologic and geomorphic processes for vegetation restoration in drylands with a thick vadose zone. More studies on soil property changes are needed to provide case studies and empirical support for ecological restoration in the Loess Plateau of China.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: A C C E P T E D Mmentioning

confidence: 99%

Relationship between soil water content and soil particle size on typical slopes of the Loess Plateau during a drought year

Zhang

Zhao

Wang

et al. 2019

Science of The Total Environment

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“…Soil particle-size distribution (PSD) is the result of complicated geologic and environmental processes and is one of the most fundamental physical attributes due to its large influence on soil hydraulic characteristics, fertility and erosion (Segal et al 2009;Chen and Zhou 2013;Xu et al 2013). Characterizing variations of soil PSD is thus an important way to understand and quantify soil structure and dynamics (Lyu et al 2015;Yu et al 2015). Fractal theory is currently commonly used by pedologists worldwide to characterize PSDs and is implemented mainly in two ways, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Fractal theory is currently commonly used by pedologists worldwide to characterize PSDs and is implemented mainly in two ways, i.e. singular fractal analysis and multifractal analysis (Grout et al 1998;Wang et al 2008;Yu et al 2015). Singular fractal analysis is widely used to quantitatively describe PSDs, but recent studies have shown that a single fractal dimension is not sufficient to characterize PSD in soil (Posadas et al 2001;Wang et al 2008), especially for PSDs of soils comprised predominately of silt and clay (Grout et al 1998).…”

Section: Introductionmentioning

confidence: 99%

Natural succession of grassland on the Loess Plateau of China affects multifractal characteristics of soil particle‐size distribution and soil nutrients

Sun

Liu

Xue

2016

Ecological Research

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Knowledge of the changes of soil properties and soil particle‐size distribution (PSD) is important for quantifying soil quality and dynamics during natural succession. We applied multifractal theory to characterize the PSDs in five soil layers of nine croplands abandoned for less than 1 year, 2, 5, 7, 10, 15, 20, 30 and 35 years and evaluated the changes of soil organic carbon (SOC), total nitrogen (total N), total phosphorus (total P), soil texture and multifractal parameters [capacity dimension (D0), entropy dimension (D1), correlation dimension (D2) and Hölder exponent of order zero (α0)] during natural succession on the Loess Plateau of China. Rényi spectra (Dq) and singularity spectra f(α) characterized the PSDs well and sensitively reflected the changes of heterogeneity of the surface soil (0–20 cm) during natural succession. SOC, total N and clay contents and the multifractal parameters increased significantly by the late stage of succession, mostly in the topsoil (0–10 cm). Natural succession thus effectively improved the soil physicochemical properties on the Loess Plateau of China, even though it was time‐consuming. SOC and total N contents decreased with depth throughout the natural succession, but the multifractal parameters were higher in the topsoil only in the late stage. D1 and D2 were strongly and positively correlated with SOC and total N contents in the surface layers and with fine particles in all layers, suggesting that D1 and D2 may be sensitive and practical indices for quantifying changes in soil properties and erosion.

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“…where r-soil particle-size, R i -soil particle-size of grade i, R max -greatest value of soil particle-size, V(r < R i )-volume of R i more than soil particle-size, and V T -general volume of soil particles [34,35]. The measured data have linear relationships bewteen Lg value of (V/V T ) and (R i /R max ) and carrying out linear regression analysis, the slope (k) is obtained, and D = 3 − k. The parameters of Lg value of (V/V T ) and (R i /R max ), and D were used in this study.…”

Section: Soil Fractal Model Descriptionsmentioning

confidence: 99%

Different Soil Particle-Size Classification Systems for Calculating Volume Fractal Dimension—A Case Study of Pinus sylvestris var. Mongolica in Mu Us Sandy Land, China

Jiang

Ma²,

2018

Applied Sciences

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Characterizing changes in the soil particle-size distributions (PSD) are a major issue in environmental research because it has a great impact on soil properties, soil management, and desertification. To date, the use of soil volume fractal dimension (D) is a feasible approach to describe PSD, and its calculation is mainly dependent on subdivisions of clay, silt, sand fractions as well as different soil particle-size classification (PSC) systems. But few studies have developed appropriate research works on how PSC systems affect the calculations of D. Therefore, in this study, topsoil (0–5 cm) across nine forest density gradients of Pinus sylvestris var. mongolica plantations (MPPs) ranging from 900–2700 trees ha–1 were selected in the Mu Us sandy land, China. The D of soil was calculated by measuring soil PSD through fractal model and laser diffraction technique. The experimental results showed that: (1) The predominant PSD was distributed within the sand classification followed by clay and silt particle contents, which were far less prevalent in the study area. The general order of D values (Ds) was USDA (1993) > ISO14688 (2002) > ISSS (1929) > Katschinski (1957) > China (1987) > Blott & Pye (2012) PSC systems. (2) Ds were significantly positively related to the contents of clay and silt, and Ds were significantly negatively to the sand content. Ds were susceptible to the MPPs establishment and forest densities. (3) Ds of six PSC systems were significantly positive correlated, which indicated that they not only have difference, but also have close connection. (4) According to the fractal model and descriptions of soil fractions under different PSC systems, refining scales of clay and sand fractions could increase Ds, while the refining scale of silt fraction could decrease Ds. From the conclusions above, it is highly recommended that USDA (1993) and Blott & Pye (2012) PSC systems be used as reliable and practical PSC systems for describing and calculating D of soil PSD.

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Fractal features of soil particle size distribution in newly formed wetlands in the Yellow River Delta

Cited by 31 publications

References 37 publications

Relationship between soil water content and soil particle size on typical slopes of the Loess Plateau during a drought year

Relationship between soil water content and soil particle size on typical slopes of the Loess Plateau during a drought year

Natural succession of grassland on the Loess Plateau of China affects multifractal characteristics of soil particle‐size distribution and soil nutrients

Different Soil Particle-Size Classification Systems for Calculating Volume Fractal Dimension—A Case Study of Pinus sylvestris var. Mongolica in Mu Us Sandy Land, China

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