Response of soil organic carbon and nitrogen stocks to soil erosion and land use types in the Loess hilly–gully region of China

Li, Zhongwu; Liu, Chun; Yu, Dong; Chang, Xiaofeng; Nie, Xiaodong; Liu, Lin; Xiao, Huan; Lu, Yufeng; Zeng, Guangming

doi:10.1016/j.still.2016.10.004

Cited by 200 publications

(71 citation statements)

References 53 publications

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“…It implies that this model may not perform well in plains or in desert steppe, and the bigger the grazing intensity, the higher the uncertainty of the prediction of grassland SOC contents. It also proved that grazing is the main driver of the SOC pool (Z. Li, Liu, et al, ), and the prediction accuracy may be improved if this factor is put into the RF model.…”

Section: Discussionmentioning

confidence: 97%

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Large‐scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau

Wang

Deng

et al. 2017

Land Degrad Dev

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The Loess Plateau is considered one of the world's regions with severe soil erosion. Grasslands are widely distributed on the Loess Plateau, accounting for approximately 40% of the total area.Soil organic carbon (SOC) plays an important role in the terrestrial carbon cycle in this region.We compiled more than 1,000 measurements of plant biomass and SOC content derived from 223 field studies of grasslands on the Loess Plateau. Combined with meteorological factors (precipitation and air temperature) and the photosynthetically active radiation factor, the topsoil SOC contents of grasslands were predicted using the random forest (RF) regression algorithm. biomass and temperature should receive more attention due to increasing C sequestration.

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Section: Discussionmentioning

confidence: 97%

“…It also proved that grazing is the main driver of the SOC pool (Z. Li, Liu, et al, 2017), and the prediction accuracy may be improved if this factor is put into the RF model.…”

Section: Grazing Intensities Affecting Prediction Accuracy Of Grassmentioning

confidence: 95%

Large‐scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau

Wang

Deng

et al. 2017

Land Degrad Dev

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“…The results show that the forest topsoil presented larger proportions of aromatic, humified, and high‐molecular‐weight WEOM than those found in other land uses and gullies (Huguet et al, ; Peuravuori & Pihlaja, ; Weishaar et al, ). These results may be attributed to different levels and forms of organic material found in soils subjected different vegetation types (Li et al, ). It has been reported that SOM content can greatly influence DOM yields (Hornberger, Bencala, & McKnight, ).…”

Section: Discussionmentioning

confidence: 76%

“…Higher fractions of lignin, organic acids, and other recalcitrant compounds are returned to the soil by tree litters in forests than by agricultural crop debris (Chantigny, ). After returning cropland to forests or grassland, aromatic, humified, and high‐molecular‐weight WEOM could significantly increase, which may be attributed to higher levels of DOM sequestration, and to the accumulation of chelating organic acid and organo‐metal complexes (Li et al, ; Hughes, Reynolds , & Roberts, ). However, due to tillage practices and amendments, cropland and orchards were always exposed in the study area and lack organic material input.…”

Section: Discussionmentioning

confidence: 99%

“…Over time, the characteristics of SOM and stream DOM have been heavily affected. SOM stock responses to land use and sources of erosion‐induced organic matter (OM) have been explored in our previous studies in the Loess Plateau, China (Li et al, ; Liu, Li, Dong, Chang, et al, , Liu, Li, Dong, Nie, et al, ; Liu, Li, Berhe, Xiao, et al, , Liu, Li, Berhe, Zeng, et al, ). Additionally, DOM leaching may be a major driver behind the translocation of SOM (Froberg, Berggren, & Bergkvist, ).…”

Section: Introductionmentioning

confidence: 97%

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Dissolved organic matter in surface runoff in the Loess Plateau of China: The role of rainfall events and land‐use

Hao

Xie

et al. 2020

Hydrological Processes

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Exploring the chemical characterization of dissolved organic matter (DOM) is important for understanding the fate of laterally transported organic matter in watersheds. We hypothesized that differences in water‐extractable organic matter (WEOM) in soils of varying land uses and rainfall events may significantly affect the quality and the quantity of stream DOM. To test our hypotheses, characteristics of rainfall‐runoff DOM and WEOM of source materials (topsoil from different land uses and gullies, as well as typical vegetation) were investigated at two adjacent catchments in the Loess Plateau of China, using ultraviolet–visible absorbance and excitation emission matrix fluorescence with parallel factor analysis (PARAFAC). Results indicated that land‐use types may significantly affect the chemical composition of soil WEOM, including its aromaticity, molecular weight, and degree of humification. The PARAFAC analysis demonstrated that the soils and stream water were dominated by terrestrial/allochthonous humic‐like substances and microbial transformable humic‐like fluorophores. Shifts in the fluorescence properties of stream DOM suggested a pronounced change in the relative proportion of allochthonous versus autochthonous material under different rainfall patterns and land uses. For example, high proportions of forestland could provide more allochthonous DOM input. This study highlights the relevance of soils and hydrological dynamics on the composition and fluxes of DOM issuing from watersheds. The composition of DOM in soils was influenced by land‐use type. Precipitation patterns influenced the proportion of terrestrial versus microbial origins of DOM in surface runoff. Contributions of allochthonous, terrestrially derived DOM inputs were highest from forested landscapes.

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A cationic polymer enhanced PAC for the removal of dissolved aquatic organic carbon and organic nitrogen from surface waters

et al. 2018

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Dissolved organic carbon (DOC) and dissolved organic nitrogen (DON) are important components of the aquatic environment and may produce harmful disinfection by-products through chlorination associated with water treatment processes. Therefore, it is necessary to remove them from the water. Coagulation is a cost-effective water treatment technique as the key unit in the pretreatment of drinking water but deals with DON poorly. We present a study to investigate the enhancement of poly aluminum chloride (PAC) using a cationic polymer for the removal of both DON and DOC. The cationic dimethyl diallyl ammonium chloride (PDMDAAC) polymer was hybridized with PAC to remove DON and DOC. The results showed that the PDMDAAC increased the charge neutralization capacity of PAC and floc aggregation, thereby increasing the settling efficiency of the flocs. The PDMDAAC increased the amount of colloidal species in PAC, which was beneficial to the formation of adsorption-bridging. With the increase of pH, a greater proportion of colloidal adsorption sites were used in the removal of DON. The DOC, DON, and turbidity removal were dependent on multiple interactions through charge neutralization, adsorption-bridging, and floc sweeping. However, DOC and DON removal were primarily determined by adsorption-bridging and floc sweeping, while turbidity removal was mainly dependent on charge neutralization.

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Response of soil organic carbon and nitrogen stocks to soil erosion and land use types in the Loess hilly–gully region of China

Cited by 200 publications

References 53 publications

Large‐scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau

Large‐scale soil organic carbon mapping based on multivariate modelling: The case of grasslands on the Loess Plateau

Dissolved organic matter in surface runoff in the Loess Plateau of China: The role of rainfall events and land‐use

A cationic polymer enhanced PAC for the removal of dissolved aquatic organic carbon and organic nitrogen from surface waters

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