Multifractal dimensions of soil particle size distribution reveal the erodibility and fertility of alpine grassland soils in the Northern Tibet Plateau

Wang, Xiangtao; Sun, Lei; Zhao, Ningning; Li, Wencheng; Wei, Xuehong; Niu, Ben

doi:10.1016/j.jenvman.2022.115145

Cited by 13 publications

(4 citation statements)

References 52 publications

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“…Many reports collectively validate this result. For example, Wang et al (2022b) reported that there was a significant positive correlation between the width range of the soil particle distribution and the clay and silt in alpine desert grasslands, and that plant coverage positively affected the width and inhomogeneity of the soil particle distribution [60]. Sun et al (2016) reported that the multifractal parameters of topsoil in the Loess Plateau were driven by the SOC and TN [20].…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Soil Particle Sizes and Fractal Parameters under Different Plantation Types of Populus alba

Li,

Meng,

Ren

et al. 2024

Forests

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Vegetation plays a leading role in restoring desert ecosystems and increasing productivity. In this study, we elucidate the improvement effects of different restoration areas of Populus alba on the soil particle distribution, sedimentation environment, and fractal characteristics. We selected the restoration areas of P. alba × Caragana korshinskii (YN), P. alba × Hedysarum leave (YY), and P. alba × Hedysarum scoparium (YH), which have a history of twenty-one years. We analyzed the soil nutrients, soil particle size, soil particle size parameters, soil fractal dimension (D) values, and soil multifractal parameters at soil depths of 0–80 cm. We found that the YN, YY, and YH significantly increased the soil nutrients and soil fine particles (p < 0.05) and changed the deposition pattern of the soil particles in the sandy area. The YN, YY, and YH promote soil particle refinement and reduce the sorting performance of the soil particles. The vegetation promotes extremely positive-skewed and very leptokurtic soil particle distributions. The D values in the YN, YY, and YH restoration areas increased by 7.62%–27.94%, 7.36%–26.28%, and 7.10%–17.92%, respectively, relative to those of the LS. The construction of the different restoration areas of P. alba has made the distribution of the soil particles nonuniform. Compared with the YY and YH plantations, the distribution range of the soil particles in the YN plantation is wider, and the distribution heterogeneity is greater. In addition, we found that the fractal parameters are influenced by the soil physicochemical properties, the depositional environment, and vegetation factors. Therefore, we believe that D values and multifractal parameters are necessary as additional information for desert soil texture improvement. The results of this study provide a scientific and theoretical basis for the future revegetation of deserts.

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Section: Discussionmentioning

confidence: 99%

Characteristics of Soil Particle Sizes and Fractal Parameters under Different Plantation Types of Populus alba

Li,

Meng,

Ren

et al. 2024

Forests

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“…Land restoration measures greatly influence the extent and direction of soil structure quality changes 26 , 27 . Soil contains irregular particles and voids 28 and has a complex structure. Traditional soil texture analysis methods describe soil particle distribution (PSD) based on the percentage of different particle contents in the total weight of the soil, which usually results in incomplete soil PSD information 29 .…”

Section: Introductionmentioning

confidence: 99%

Multifractal characteristics of soil particle size distribution of abandoned homestead reclamation under different forest management modes

Meng,

Han,

Zhang

et al. 2024

Sci Rep

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In this study, fast-growing poplar reclaimed from abandoned homestead in Xixian New District, Xi’an City, Shaanxi Province, was used as the research object to explore the multi-fractal characteristics of soil particle size distribution under different management modes of abandoned land (control), irrigation, fertilizer irrigation and mixed fertilizer irrigation. The results showed that the mean values of soil clay, silt and sand in abandoned land were 14.58%, 81.21% and 4.22% respectively, 14.08%, 79.92% and 5.99% under irrigation, 15.17%, 81.19% and 3.64% under fertilizer irrigation, and 16.75%, 80.20% and 3.05% in mixed fertilizer treatment. From 40 cm, with increasing soil depth, soil clay particles increase under irrigation, fertilizer irrigation, and mixed fertilizer irrigation modes. The single fractal dimension of soil particle size distribution (D) in each treatment ranges from 2.721 to 2.808. At 60–100 cm, D shows fertilizer irrigation > mixed fertilizer irrigation > irrigation > abandoned land, indicating that fertilization and irrigation can increase the fine-grained matter of deep soil particles and reduce soil roughness. Compared with abandoned land, under irrigation, fertilizer irrigation and mixed fertilizer modes the capacity dimension (D0), entropy dimension (D1), correlation dimension(D2), shape characteristics of the multifractal spectrum (Δf) and overall inhomogeneity of the soil particle size distribution (D0–D10) indicate an uneven distribution of soil particle size; fractal structure characteristics of soil (D−10–D0) indicate a simplified soil structure, and degree of dispersion of soil particle size distribution (D1/D0) indicates that soil particle size is distributed in dense areas. Pearson correlation analysis showed that D was significantly correlated with clay, sand, D0–D10, soil organic matter (SOM) and soil available phosphorus (SAP) (P < 0.05). Stepwise regression analysis showed that clay was the main controlling factor of D and D0–D10 changes. The research results can provide some potential indicators for the quality evaluation of abandoned homestead reclamation.

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“…Ideally, soil erodibility factors would be best calculated from direct field measurements with the help of natural runoff diagrams but getting these types of records for long-term studies are too expensive and time-consuming (Dangler and El-Swaify, 1976;Efthimiou, 2020;Torri et al, 1997;Young and Mutchler, 1977). So, various attempts had been made to correlate soil properties with the measured soil erodibility factors (Cohen et al, 2005;Wang et al, 2022). The widely adopted relationship to estimate K-factor is the soil erodibility nomograph approach (Wischmeier and Smith, 1978) which uses more easily obtainable datasets such as soil texture, structure, permeability and SOM (soil organic matter) (Efthimiou, 2020).…”

Section: Introductionmentioning

confidence: 99%

Mapping Soil Erodibility over India

Raj¹,

Saharia²,

Chakma³

2023

Preprint

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Soil erosion is a major environmental problem worldwide, and almost half of India’s total geographical area is susceptible to it. The Revised Universal Soil Loss Equation (RUSLE) has been widely used globally to estimate soil erosion, and Soil erodibility factor, denoted by K-factor, is an essential component of RUSLE. Although previous studies have assessed soil erodibility in India, they have been limited to small scales such as watersheds or districts. A national scale assessment of soil erodibility doesn’t exist and is critical to developing a systematic understanding of soil erosion over India. In this study, we estimated soil erodibility factors over India using RUSLE Nomograph and Environmental Policy Integrated Climate (EPIC) model approaches at a high resolution of 250 m. Our results showed that the K-factor estimated using the Nomograph approach was more accurate than the observed soil erodibility factors. Additionally, we developed erodibility indices such as CR (Clay Ratio), MCR (Modified Clay Ratio), and CLOM (Critical Level of Organic Matter) to assess their sensitivity with respect to soil erodibility factors. Finally, we created a susceptibility to erosion map over India using CLOM index classification. The national average soil erodibility factor for India is estimated to be 0.028 t-ha-h/ha/MJ/mm. Histosols soil type is the least susceptible to erosion, while Xerosols soil type is most susceptible among the prevalent soil classes in India. This is the first national-scale mapping of soil erodibility over India, providing an essential asset for soil conservation and erosion management planning by experts.

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Multifractal dimensions of soil particle size distribution reveal the erodibility and fertility of alpine grassland soils in the Northern Tibet Plateau

Cited by 13 publications

References 52 publications

Characteristics of Soil Particle Sizes and Fractal Parameters under Different Plantation Types of Populus alba

Characteristics of Soil Particle Sizes and Fractal Parameters under Different Plantation Types of Populus alba

Multifractal characteristics of soil particle size distribution of abandoned homestead reclamation under different forest management modes

Mapping Soil Erodibility over India

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