Change in Soil Particle Size Distribution and Erodibility with Latitude and Vegetation Restoration Chronosequence on the Loess Plateau, China

Song, Yueqin; Entemake, Wulan; Xu, Hongwei; Wu, Yang; Qu, Qing; Xue, Sha

doi:10.3390/ijerph17030822

Cited by 18 publications

(10 citation statements)

References 48 publications

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“…The annual average temperature is 8.8 • C. The annual average rainfall is 500 mm, which is mainly observed in July-September. It is a typical hilly and gully area in the Loess Plateau, an ecologically fragile area in the northwest China, and a key area for returning farmland to forest (grass) [17]. The soil type is loess soil.…”

Section: Study Areamentioning

confidence: 99%

Impact of Fertilizer on Crop Yield and C:N:P Stoichiometry in Arid and Semi-Arid Soil

Liu

2021

IJERPH

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Fertilization can significantly affect the quality of crop and soil. To determine the effects of long-term fertilization on crop yield and carbon:nitrogen:phosphorus (C:N:P) stoichiometry in soil, a study was conducted on the terraced fields of the Loess Plateau from 2007 to 2019. Nine fertilization treatments were included: no fertilizer; organic fertilizer (O); organic and nitrogen fertilizers (ON); organic, nitrogen, and phosphorus fertilizers (ONP); organic and phosphorus fertilizers (OP); phosphorus and nitrogen fertilizers; potash and nitrogen fertilizers; potash, nitrogen, and phosphorus fertilizers; and potash and phosphorus fertilizers. Under these treatments except for CK and PK, crop yields initially decreased but later increased. The nutrient content and C:N:P stoichiometry increased in soil depth of 0–20 cm. The soil available nutrients did not change significantly with the duration of fertilization. The O, ON, ONP, and OP had the most evident effect on the enhancement of soil nutrient content, whereas O and ON had the most evident effect on the increase in soil organic carbon (SOC):total phosphorus (TP) and total nitrogen (TN):TP. In soil depth of 0–20 cm, crop yield, SOC:TN, SOC:TN, SOC:TP, and TN:TP significantly correlated with soil nutrients. This study indicated that long-term fertilization can effectively improve crop yield, soil fertility, and soil C:N:P stoichiometry. Meanwhile, the single application of an organic fertilizer or the combination of organic and nitrogen fertilizers can improve the condition of nitrogen limitation in arid and semi-arid areas.

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Section: Study Areamentioning

confidence: 99%

Impact of Fertilizer on Crop Yield and C:N:P Stoichiometry in Arid and Semi-Arid Soil

Liu

2021

IJERPH

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“…The samples were chemically dispersed with 0.06 mol•L − 1 sodium hexametaphosphate and were mechanically dispersed in an ultrasonic bath for 10 min (Qi et al 2018). The measurements were repeated three times for each sample, and the soil particlesize distribution (PSD) was classified into clay (< 2 µm), silt (2-50 µm), and sand (50-2000 µm) according to United States Department of Agriculture classification (USDA) classification system (Xia et al 2020;Zhai et al 2020).…”

Section: Determination Of the Soil Particle-size Distribution Of The Soil Samplesmentioning

confidence: 99%

Effects of three coniferous plantation species on plant‐soil feedbacks and soil physical and chemical properties in semi‐arid mountain ecosystems

et al. 2021

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Background Large-scale afforestation can significantly change the ground cover and soil physicochemical properties, especially the soil fertility maintenance and water conservation functions of artificial forests, which are very important in semi-arid mountain ecosystems. However, how different tree species affect soil nutrients and soil physicochemical properties after afforestation, and which is the best plantation species for improving soil fertility and water conservation functions remain largely unknown. Methods This study investigated the soil nutrient contents of three different plantations (Larix principis-rupprechtii, Picea crassifolia, Pinus tabuliformis), soils and plant-soil feedbacks, as well as the interactions between soil physicochemical properties. Results The results revealed that the leaves and litter layers strongly influenced soil nutrient availability through biogeochemical processes: P. tabuliformis had higher organic carbon, ratio of organic carbon to total nitrogen (C:N) and organic carbon to total phosphorus (C:P) in the leaves and litter layers than L. principis-rupprechtii or P. crassifolia, suggesting that higher C:N and C:P hindered litter decomposition. As a result, the L. principis-rupprechtii and P. crassifolia plantation forests significantly improved soil nutrients and clay components, compared with the P. tabuliformis plantation forest. Furthermore, the L. principis-rupprechtii and P. crassifolia plantation forests significantly improved the soil capacity, soil total porosity, and capillary porosity, decreased soil bulk density, and enhanced water storage capacity, compared with the P. tabuliformis plantation forest. The results of this study showed that, the strong link between plants and soil was tightly coupled to C:N and C:P, and there was a close correlation between soil particle size distribution and soil physicochemical properties. Conclusions Therefore, our results recommend planting the L. principis-rupprechtii and P. crassifolia as the preferred tree species to enhance the soil fertility and water conservation functions, especially in semi-arid regions mountain forest ecosystems.

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“…Therefore, at first the species data should be analysed by a detrended correspondence analysis (DCA) to investigate the requirements. According to the DCA results, if the gradient length of the first ordination axis is less than 3, a linear model such as redundancy analysis (RDA) is suitable (Zhai et al, 2020). In this study, DCA ordination was performed on environmental factors and both infiltration and PSD data.…”

Section: The Relationship Between Environmental Factors and Characteristics Of Infiltration Curves And Psdmentioning

confidence: 99%

Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

Omidvar

2020

European J Soil Science

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Although fractal mathematics has been commonly used to quantify particle size distribution (PSD), limited attention has been paid to the fractal dimension of the infiltration curve (D I ). Therefore, it is necessary to determine whether the D I and fractal dimensions of PSD (D m , D clay , D silt and D sand ) can reflect the infiltration process, and soil erodibility and degradation. Accordingly, this study aimed to provide new information on the quantification of infiltration processes, and soil erodibility and degradation, using D I and D m in the Soorak basin in the northern part of Iran. The soil and infiltration properties were calculated by field and laboratory practices on 46 topsoil samples and 34 infiltrometer double-ring tests. Correlation, regression and redundancy analysis (RDA) were used to identify relationships between the infiltration curve and PSD coordinates with soil and infiltration properties. Results indicated that the D I was significantly linearly correlated with other infiltration curve characteristics, with the correlation coefficient ranging from −0.737 to −0.403 (sig. = 0.000-0.037). However, there was no significant correlation between D I and D m , D clay , D silt and D sand . Different erodibility factors, especially K USLE , had significant relations with D m , D clay , D silt , D sand and D I (p < .01), suggesting that these fractal dimensions are indicators of soil degradation. Other findings indicated that the land use had no significant effect on D I and infiltration properties, whereas K USLE , D m , D clay , D Silt and D Sand were significantly affected by land-use patterns (p < .01). These findings demonstrate that fractal dimensions of PSD and infiltration can be practicable indices to analyse soil degradation under different land-use types. Highlights • How fractal geometry adds to understanding of the infiltration process and soil degradation. • Fractal dimensions of infiltration (D I ) can describe the infiltration process. • Fractal dimensions of soil (D m ) and D I can be used as indicators of the soil erodibility. • Erodibility and fractal properties of soil were significantly affected by land use.

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Change in Soil Particle Size Distribution and Erodibility with Latitude and Vegetation Restoration Chronosequence on the Loess Plateau, China

Cited by 18 publications

References 48 publications

Impact of Fertilizer on Crop Yield and C:N:P Stoichiometry in Arid and Semi-Arid Soil

Impact of Fertilizer on Crop Yield and C:N:P Stoichiometry in Arid and Semi-Arid Soil

Effects of three coniferous plantation species on plant‐soil feedbacks and soil physical and chemical properties in semi‐arid mountain ecosystems

Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

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