Distribution and functional groups of soil aggregate-associated organic carbon along a marsh degradation gradient on the Zoige Plateau, China

Our study aimed to provide a scientific basis for an appropriate tillage management of wheat-maize rotation system, which is beneficial to the sustainable development of agriculture in the fluvo-aquic soil areas in China. Four tillage treatments were investigated after maize harvest, including rotary tillage with straw returning (RT), deep ploughing with straw returning (DP), subsoiling with straw returning (SS), and no tillage with straw mulching (NT). We evaluated soil organic carbon (SOC), dissolved organic carbon (DOC), permanganate oxidizable carbon (POXC), microbial biomass carbon (MBC), and particulate organic carbon (POC) in bulk soil and soil aggregates with five particle sizes (>5 mm, 5–2 mm, 2–1 mm, 1–0.25 mm, and <0.25 mm) under different tillage managements. Results showed that compared with RT treatment, NT treatment not only increased soil aggregate stability, but also enhanced SOC, DOC, and POC contents, especially those in large size macroaggregates. DP treatment also showed positive effects on soil aggregate stability and labile carbon fractions (DOC and POXC). Consequently, we suggest that no tillage or deep ploughing, rather than rotary tillage, could be better tillage management considering carbon storage. Meanwhile, we implied that mass fractal dimension (Dm) and POXC could be effective indicators of soil quality, as affected by tillage managements.

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Soil aggregate–associated mercury (Hg) and organic carbon distribution and microbial community characteristics under typical farmland–use types

Chemosphere ◽

10.1016/j.chemosphere.2021.129987 ◽

2021 ◽

Vol 275 ◽

pp. 129987

Author(s):

Penggang Pei ◽

Tao Sun ◽

Yingming Xu ◽

Yuebing Sun

Keyword(s):

Microbial Community ◽

Organic Carbon ◽

Soil Aggregate ◽

Carbon Distribution ◽

Community Characteristics

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The influence of organic and inorganic nutrient inputs on soil organic carbon functional groups content and maize yields

Heliyon ◽

10.1016/j.heliyon.2021.e07881 ◽

2021 ◽

Vol 7 (8) ◽

pp. e07881

Author(s):

M. Ndung'u ◽

L.W. Ngatia ◽

R.N. Onwonga ◽

M.W. Mucheru-Muna ◽

R. Fu ◽

...

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Functional Groups ◽

Inorganic Nutrient ◽

Nutrient Inputs ◽

Maize Yields

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Soil aggregate stability to predict organic carbon outputs from soils

Geoderma ◽

10.1016/j.geoderma.2014.12.013 ◽

2015 ◽

Vol 243-244 ◽

pp. 205-213 ◽

Cited By ~ 56

Author(s):

V. Chaplot ◽

M. Cooper

Keyword(s):

Organic Carbon ◽

Aggregate Stability ◽

Soil Aggregate ◽

Soil Aggregate Stability

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Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations

Atmospheric Measurement Techniques ◽

10.5194/amt-13-1517-2020 ◽

2020 ◽

Vol 13 (3) ◽

pp. 1517-1538

Author(s):

Charlotte Bürki ◽

Matteo Reggente ◽

Ann M. Dillner ◽

Jenny L. Hand ◽

Stephanie L. Shaw ◽

...

Keyword(s):

Cluster Analysis ◽

Organic Matter ◽

Organic Carbon ◽

Functional Groups ◽

Method Development ◽

Estimation Method ◽

Chemical Species ◽

Monitoring Network ◽

Ftir Spectra ◽

Absorption Bands

Abstract. The Fourier transform infrared (FTIR) spectra of fine particulate matter (PM2.5) contain many important absorption bands relevant for characterizing organic matter (OM) and obtaining organic matter to organic carbon (OM∕OC) ratios. However, extracting this information quantitatively – accounting for overlapping absorption bands and relating absorption to molar abundance – and furthermore relating abundances of functional groups to that of carbon atoms poses several challenges. In this work, we define a set of parameters that model these relationships and apply a probabilistic framework to identify values consistent with collocated field measurements of thermal–optical reflectance organic carbon (TOR OC). Parameter values are characterized for various sample types identified by cluster analysis of sample FTIR spectra, which are available for 17 sites in the Interagency Monitoring of Protected Visual Environments (IMPROVE) monitoring network (7 sites in 2011 and 10 additional sites in 2013). The cluster analysis appears to separate samples according to predominant influence by dust, residential wood burning, wildfire, urban sources, and biogenic aerosols. Functional groups calibrations of aliphatic CH, alcohol COH, carboxylic acid COOH, carboxylate COO, and amine NH2 combined together reproduce TOR OC concentrations with reasonable agreement (r=0.96 for 2474 samples) and provide OM∕OC values generally consistent with our current best estimate of ambient OC. The mean OM∕OC ratios corresponding to sample types determined from cluster analysis range between 1.4 and 2.0, though ratios for individual samples exhibit a larger range. Trends in OM∕OC for sites aggregated by region or year are compared with another regression approach for estimating OM∕OC ratios from a mass closure equation of the major chemical species contributing to PM fine mass. Differences in OM∕OC estimates are observed according to estimation method and are explained through the sample types determined from spectral profiles of the PM.

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