Ordination as a tool to characterize soil particle size distribution, applied to an elevation gradient at the north slope of the Middle Kunlun Mountains

GUI, Dongwei; Lei, Jiaqiang; Zeng, Fanjiang; Runge, Michael C.; Mu, Guijin; Yang, Fan; Zhu, Jiang

doi:10.1016/j.geoderma.2010.06.002

Cited by 22 publications

(11 citation statements)

References 43 publications

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“…The ammonium N (NH 4 + -N) and nitrate N (NO 3 --N) of soil and biochar were measured using a continuous flow analyzer (AA3, SEAL Analytical, Norderstedt, Germany) (Yao et al 2009). Soil texture was determined using a laser diffraction particle analyzer (Mastersizer 2000, Malvern, UK) (Gui et al 2010). DOC of fresh soils and biochar were extracted with deionized water and 2 mol/L KCl (1:10, w/v), respectively, at 250 rpm for 30 min; the extracts were filtered (0.45 μm) after centrifuging at 8000 rpm for 10 min (Jones and Willett 2006).…”

Section: Methodsmentioning

confidence: 99%

Effects of biochar addition on CO2 and CH4 emissions from a cultivated sandy loam soil during freeze-thaw cycles

Liu¹,

Qi²,

Wang³

et al. 2017

Plant Soil Environ.

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This study was conducted to examine the effects of biochar additions (0, 2 and 4%, w/w) on soil carbon dioxide (CO2) and methane (CH4) emissions during freeze-thaw cycles (FTC). The results showed that soil CO2 emissions were stimulated by both FTC and biochar addition. However, the differences in soil CO2 emissions between control (CK) and FTC treatments were not significant when biochar addition rate was 4%, indicating that high biochar addition rate may have stronger effect on stimulating soil CO2 emissions than FTC. The increased soil dissolved organic carbon content, which attributed to the labile carbon in biochar, was the likely reason for the increased CO2 emissions. The negative CH4 emissions were promoted by biochar, especially under FTC conditions; possibly due to the structure of biochar soil aeration increased, which formed a favourable environment for methanotrophs. The results of this study indicate that biochar additions can increase soil CO2 emissions and CH4 uptakes during FTC, and such effects are different from those under CK conditions.

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Section: Methodsmentioning

confidence: 99%

Effects of biochar addition on CO2 and CH4 emissions from a cultivated sandy loam soil during freeze-thaw cycles

Liu¹,

Qi²,

Wang³

et al. 2017

Plant Soil Environ.

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“…However, these methods have rarely been used to study PSDs. Gui 52 was the first to analyze the variations in the characteristics of PSDs and the relationships between PSDs and environmental factors by ordination. Gui indicated that ordination methods could be useful for PSD research and suggested that the combination of fractal measurements and ordination methods could provide comprehensive information on PSDs.…”

Section: Introductionmentioning

confidence: 99%

Fractal features of soil particle size distributions and their potential as an indicator of Robinia pseudoacacia invasion1

Yang

et al. 2018

Sci Rep

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To study the fractal dimensions of the soil particle size distributions (PSDs) within different plantations (of Pinus densiflora, Quercus acutissima, Robinia pseudoacacia, and Larix kaempferi) and evaluate PSDs as an indicator of the likelihood of Robinia pseudoacacia invasion, the soil porosity of 0–20 cm soil layers was measured at different plantations in the Yaoxiang Forest Farm, Shandong Province, China. The results showed that the fractal dimension (Dm) values varied from 2.59 to 2.70 among the different plantations and were significantly negatively correlated to sand content and positively correlated to silt content and clay content. Significant negative correlations were observed between Dm and both soil organic matter (SOM) (P < 0.05) and available phosphorus (P < 0.01). The multifractal entropy dimension (D1) and entropy dimension/capacity dimension (D1/D0) parameters were not significantly correlated with SOM, although significant correlations were found between SOM and each of D0, Δα, and Δf(α). Compared with the other plantations, the Robinia pseudoacacia plantation had higher nutrient contents, higher D0 and D1 values and lower Dm values. Based on principal component analysis (PCA) ordination, we concluded that Robinia pseudoacacia and Pinus densiflora shared a similar habitat and that Robinia pseudoacacia is more likely to invade Pinus densiflora plantations for soil.

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“…In order to examine the relationships between surface soil salinity-sodicity and environmental factors, ordination techniques are preferred approaches. In the numerous studies, two multivariate ordination techniques were primarily used in the soil-environment research [20][21][22]. One of the approaches consisted of e linear ordination methods such as principal components analysis (PCA) and redundancy analysis (RDA).…”

Section: Introductionmentioning

confidence: 99%

Variations on Soil Salinity and Sodicity and Its Driving Factors Analysis under Microtopography in Different Hydrological Conditions

Yang

et al. 2016

Water

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Abstract:Over three million hectares of salt-affected soils characterized with high salinity and sodicity caused serious land degradation in Songnen Plain, northeast China. Soil salinity-sodicity heterogeneous distribution under microtopography is usually influenced by several environmental factors. The side direction movement of soil water driven by water from depression is the key factor that aggravates the soil salinization under microtopography in dry condition. In this study, the differences in surface soil salinity-sodicity (0-10 cm) between dry year and wet year were compared, and the relationship between soil salinity-sodicity and environment factors such as ground elevation, surface ponding time, surface ponding depth, and soil moisture at four soil layers (0-10, 10-30, 30-60, and 60-100 cm) were analyzed using redundancy analysis (RDA) and simple correlation analysis (Pearson analysis) for two different hydrological years. Analyzed soil salinity-sodicity parameters include soluble ions (Na + , K + , Ca 2+ , Mg 2+ , CO 3 2´, HCO 3´, Cl´and SO 4 2´) , salt content (SC), electrical conductivity (EC), sodium adsorption ratio (SAR), and pH. Results showed that values of SAR, Cl´, and SO 4 2´w ere significantly higher in dry year than in wet year, while Ca 2+ , Mg 2+ , K + , and HCO 3´s howed the opposite results. Values of Na + , CO 3 2´, and EC were significantly higher at higher ground elevation gradient (20-40 cm) in dry year than wet year. Redundancy analysis indicated that spatial distributions and variations of salinity and sodicity in surface soil layer were related with environmental factors of ponding depth, ponding time and ground elevation in wet year, and they were related with ground elevation, ponding depth, ponding time, and soil moisture at 30-60 and 60-100 cm soil layer in dry year. Ponding depth and ground elevation rank first and second as the influential factors of the spatial distribution and variation of soil salinity-sodicity in wet year. However in dry year, primary and secondary influential factors are ground elevation and soil moisture at 60-100 cm soil layer.

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Ordination as a tool to characterize soil particle size distribution, applied to an elevation gradient at the north slope of the Middle Kunlun Mountains

Cited by 22 publications

References 43 publications

Effects of biochar addition on CO2 and CH4 emissions from a cultivated sandy loam soil during freeze-thaw cycles

Effects of biochar addition on CO2 and CH4 emissions from a cultivated sandy loam soil during freeze-thaw cycles

Fractal features of soil particle size distributions and their potential as an indicator of Robinia pseudoacacia invasion1

Variations on Soil Salinity and Sodicity and Its Driving Factors Analysis under Microtopography in Different Hydrological Conditions

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