Effect of greenhouse soil management on soil aggregation and organic matter in northeast China

Yin, Yongguang; Liang, Cui; Zhong-Jian, Pei

doi:10.1016/j.catena.2015.06.013

Cited by 39 publications

(29 citation statements)

References 51 publications

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“…Wet sieving is applied for soil with a high clay content, because very fine powder (mostly <45) tends to agglomerate in the dry sieving process. The wet sieving method has been used often in soil physics studies (Zan et al 2015;Yan, Cheng-Hua, and Zhong-Jian. 2015).…”

Section: Sediment Preparation and Experimental Set-upmentioning

confidence: 99%

A spectral mixing algorithm for quantifying suspended sediment concentration in the Yellow River: a simulation based on a controlled laboratory experiment

Lei

Ning³

et al. 2016

International Journal of Remote Sensing

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This study investigated the upper limit of suspended sediment concentration (SSC) with respect to the relationship between SSC and reflectance to develop an SSC remote-sensing model for the highly turbid Yellow River. An SSC quantification model was generated by using the spectral mixing index of sediments in water and sediment mixtures. In this study, laboratory experiments were made to measure the spectral curves of sediment-laden water with a high-resolution spectroradiometer. River-bed deposited sediments from two sites, one on the Yellow River at Huayuankou (HYK) and the other on the Wei River at Yangling (YL), and their sand, silt and clay particle groups were used for laboratory experiments to measure the spectral responses of sediment-laden water. The correlation analysis depicted stable correlation between SSC and reflectance at wavelengths ranging from 450 to 1000 nm, in which Spearman rank correlation coefficient (r s ) for all sediments was above 0.7 while r s for the HYK natural sediment exceeded 0.9. Experimental results revealed the curves of the relationship between SSC and reflectance, up to 40 g l −1 . A physical-based exponential model (> R 2 0.9) at each simulated Landsat band effectively interpreted the relationship between SSC and reflectance. The highest upper limit SSCs at 21 and 15 g l −1 in natural YL and HYK sediments, respectively, were observed in Landsat Band 4. A spectral mixing algorithm was used to build the model and estimate the SSC from reflectance at correlated wavelength bands. The spectral mixing algorithm can generate a uniform model that disregards the effects of sediment type by adopting the reflectance curve at the upper-limit SSC to represent the standard reflectance of sediment. This study is useful in understanding the spectral characteristic of high SSC in water and in applying remote-sensing techniques to monitor SSC in the Yellow River. ARTICLE HISTORY

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Section: Sediment Preparation and Experimental Set-upmentioning

confidence: 99%

A spectral mixing algorithm for quantifying suspended sediment concentration in the Yellow River: a simulation based on a controlled laboratory experiment

Lei

Ning³

et al. 2016

International Journal of Remote Sensing

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“…This conclusion was made because selective transport also existed for aggregates of the same size due to the different qualities of their SOC fractions. The iPOC concentration is significantly greater than those of intraaggregate mineral-associated organic carbon (iMOC) and free POC and MOC in soil (Li et al, 2004;Yin et al, 2015). Among the different SOC fractions associated with aggregates, POC occupies the largest proportion of total SOC in loessial soils Dou et al, 2016).…”

Section: Soc Transport Mechanisms In Aggregatesmentioning

confidence: 99%

“…The concept map of the soil organic carbon (SOC) transport mechanism under rain-induced overland flow. Yin et al (2015) and Six et al (2004) found that SOC in microaggregates is more stable than that in macroaggregates. Therefore, research on the transport mechanisms of aggregate-associated OC is important for the evaluation of SOC mineralization.…”

Section: Soc Transport Mechanisms In Aggregatesmentioning

confidence: 99%

“…Among the different SOC fractions associated with aggregates, POC occupies the largest proportion of total SOC in loessial soils Dou et al, 2016). The iPOC concentration is significantly greater than those of intraaggregate mineral-associated organic carbon (iMOC) and free POC and MOC in soil (Li et al, 2004;Yin et al, 2015). Hence, during the sheet erosion process, large amounts of MOC and fine and coarse POC previously wrapped in aggregates may be freed by aggregate stripping, and their first transport may be the reason for OC being evenly enriched in sediment aggregates.…”

Section: Soc Transport Mechanisms In Aggregatesmentioning

confidence: 99%

“…Soil carbon associated with aggregates in cultivated soil has been widely studied, but studies have focused mainly on the effect of soil management and less on the effect of soil erosion (Zotarelli et al, 2007;Cheng et al, 2015;Li et al, 2015;Yin et al, 2015). In fact, stable aggregates physically protect SOC against decomposition and function as an important reservoir of SOC (Pulleman and Marinissen, 2004;Barbera et al, 2012;Tripathi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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The transport of aggregates associated with soil organic carbon under the rain‐induced overland flow on the Chinese Loess Plateau

Liu

Xiao

et al. 2019

Earth Surf Processes Landf

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Organic carbon (OC) is easily enriched in sediment particles of different sizes due to aggregate breakdown and selective transport for sheet erosion. However, the transport of aggregate‐associated OC has not been thoroughly investigated. To address this issue, 27 simulated rainfall experiments were conducted in a 1 m × 0.35 m box on slope gradients of 15°, 10°, and 15°and under three rainfall intensities of 45 mm h−1, 90 mm h−1 and 120 mm h−1. The results showed that OC was obviously enriched in sediment particles of different sizes under sheet erosion. The soil organic carbon (SOC) concentrations of each aggregate size class in sediments were different from those in the original soil, especially when the rainfall intensity or slope was sufficiently low, such as 45 mm h–1 or 5°, respectively. Under a slope of 5°, the SOC enrichment ratios (ERocs) of small macroaggregates and microaggregates were high but decreased over time. As rainfall intensity increased, OC became enriched in increasingly fine sediment particles. Under a rainfall intensity of 45 mm h–1, the ERocs of the different aggregate size classes were always high throughout the entire erosion process. Under a rainfall intensity of > 45 mm h–1 and slope of > 5°, the ERocs of the different aggregate size classes were close to 1.0, especially those of clay and silt. Therefore, the high ERocs in sediments resulted from the first transport of effective clay. Among total SOC loss, the proportion of OC loss caused by the transport of microaggregates and silt plus clay‐sized particles was greater than 50%. We also found that low stream power and low water depth were two requirements for the high ERocs in aggregates. Stream power was closely related to sediment particle distribution. Flow velocity was significantly and positively related to the percentage of OC‐enriched macroaggregates in the sediments (P > 0.01). Our study will provide important information for understanding the fate of SOC and building physical‐based SOC transport models. © 2019 John Wiley & Sons, Ltd.

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Organic amendments effects on soil aggregation and carbon sequestration in saline‐alkaline croplands in China

Zhang

et al. 2023

Agronomy Journal

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Saline‐alkaline soils are wide‐spread and approximately 6.5% of the world's land area is reported as being saline and sodic. Increasing soil organic carbon (SOC) concentration and aggregate stability in saline‐alkaline soils has been challenging due to the deleterious effects of soil salinity and sodicity. To address this issue, a 2‐year filed experiment was conducted to evaluate the effects of biochar (BC), farmyard manure (FM), corn straw (CS), and sheep manure (SM) in combination of chemical fertilizer (CK) on soil aggregation and C sequestration in mildly and moderately alkaline soils in Hetao Irrigation District, China. For mildly alkaline soil, the proportion of macroaggregates (>0.25 mm) was significantly higher under FM, CS, and SM (34.6%–51.2%) compared with CK (13.2%). The mean weight diameter (MWD) and geometric mean diameter (GMD) of water‐stable aggregates significantly increased under FM, CS, and SM by an average of 172.7% and 58.7% over CK. In addition, FM, CS, and SM enhanced the distribution of organic carbon (OC) in macroaggregates (>0.25 mm) and accelerated the accumulation of particulate organic matter within macroaggregates. Treatment BC enhanced OC distribution in microaggregates (0.053–0.25 mm) and exhibited a 7.40 g kg−1 SOC content, followed by SM and FM which exhibited SOC contents of 7.10 and 6.76 g kg−1. For moderately alkaline soil, data obtained in this study showed a slight influence from organic amendments on soil aggregates and C sequestration, suggesting that the moderately alkaline soil was not as sensitive to organic amendments as the mildly alkaline soil. Overall, the results of this study demonstrated that FM and SM combined with chemical fertilizer were the top organic amendments to improve soil aggregation and C sequestration in the mildly alkaline soil but not the moderately alkaline soil over the short term.

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Effect of greenhouse soil management on soil aggregation and organic matter in northeast China

Cited by 39 publications

References 51 publications

A spectral mixing algorithm for quantifying suspended sediment concentration in the Yellow River: a simulation based on a controlled laboratory experiment

A spectral mixing algorithm for quantifying suspended sediment concentration in the Yellow River: a simulation based on a controlled laboratory experiment

The transport of aggregates associated with soil organic carbon under the rain‐induced overland flow on the Chinese Loess Plateau

Organic amendments effects on soil aggregation and carbon sequestration in saline‐alkaline croplands in China

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