Soil carbon storage predicted from the diversity of pyrolytic alkanes

Jiménez-González, Marco A.; Álvarez, Ana María; Hernández, Zulimar; Almendros, G.

doi:10.1007/s00374-018-1285-6

Cited by 16 publications

(19 citation statements)

References 43 publications

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“…We collected four samples from the surface layer of four contrasting soils (SOIL 1 to 4), with the aim of covering a wide range of textures 17,20,21 . The samples were air dried, gently crushed, and sieved to 2 mm.…”

Section: Methodsmentioning

confidence: 99%

“…10 ; (b) determined the effects of washing the mineral-associated heavy SOM fraction isolated using either SPT or NaI on its organic C and total N contents; and (c) evaluated the influence of soil properties on the potential effects of the heavy liquid and washing. To do this, we used four samples collected from the surface layer of four contrasting soils (SOIL 1 to 4), with the aim of covering a wide range of textures (Table 1) 17,20,21 . The final purpose of this study was to provide general recommendations to prevent misinterpretation of fractionation results in SOM research.…”

Section: Introductionmentioning

confidence: 99%

“…17 and Jiménez-González et al . 20,21 ).SoilLocationVegetationClassDepth (cm)TextureSand(g kg −1 )Silt(g kg −1 )Clay(g kg −1 )pHEC a (dS m −1 )CEC b (cmol c kg −1 )Organic C(g kg −1 )Total N(g kg −1 )SOIL 1El Berrueco, Madrid, Spain Paeonia coriacea Dystric Cambisol0–10Sandy loam5223521265.30.41814.4453.7SOIL 2Foresta Cesane, Fossombrone, Italy Pinus nigra Rendzic Leptosol0–10Loam3794811408.30.06422.1312.2SOIL 3Chiaserna, Cantiano, Italy Pinus nigra Haplic Cambisol0–20Clay loam3802323888.00.05949.6574.6SOIL 4Castelluccio, Castelsantangelo sul Nera, Italy Fagus sylvatica Haplic Cambisol0–20Clay2653124238.10.08235.9352.4 a Electrical conductivity. b Cation exchange capacity (determined according to Sparks et al .…”

Section: Introductionmentioning

confidence: 99%

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Density-based fractionation of soil organic matter: effects of heavy liquid and heavy fraction washing

Plaza

Giannetta

Benavente

et al. 2019

Sci Rep

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Physical fractionation methods used in soil organic matter (SOM) research commonly include density-based procedures with heavy liquids to separate SOM pools with varying turnover rates and functions. Once separated, the heavy SOM pools are often thoroughly rinsed with water to wash off any residues of the heavy liquids. Using four soils with contrasting properties, we investigated the effects of using either sodium polytungstate (SPT) or sodium iodide (NaI), two of the most commonly used heavy liquids, on the distribution of organic carbon (C) and total nitrogen (N) in free light, intra-aggregate light, and mineral-associated heavy SOM pools isolated by a common fractionation scheme. We also determined the effects of washing the mineral-associated heavy SOM fractions on the recovery of organic C and total N after separation. Because of its smaller viscosity compared to that of NaI, SPT consistently yielded greater intra-aggregate and smaller mineral-associated soil organic C contents. We also confirm that some commercial SPT products, such as the one used here, can contaminate organo-mineral heavy pools with N during density-based fractionation procedures. We do not recommend the repeated washing of heavy fractions separated with Na-based heavy liquids, as this can mobilize SOM.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Density-based fractionation of soil organic matter: effects of heavy liquid and heavy fraction washing

Plaza

Giannetta

Benavente

et al. 2019

Sci Rep

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“…1). With increasing decomposition and consumption of the most common molecules, molecular diversity increases 18 and enhances the persistence of the 125 remaining organic carbon 14,19 .…”

Section: Molecular Diversitymentioning

confidence: 99%

Persistence of soil organic carbon caused by functional complexity

et al. 2020

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“…Soil organic carbon (SOC) is an important indicator of soil fertility and health [1], which is also an important factor affecting SOC stability and consequently C sequestration [2]. The long-chain alkanes had greatest correlation with fresh organic matter, which present higher correlation with SOC levels than others [3]. At present, the global warming caused by the rise of atmospheric CO 2 concentration has been widely concerned by countries all over the world.…”

Section: Introductionmentioning

confidence: 99%

Soil Organic Carbon Chemical Functional Groups under Different Revegetation Types Are Coupled with Changes in the Microbial Community Composition and the Functional Genes

Deng

Zhu

Zhou

et al. 2019

Forests

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Different revegetatiom types can affect the chemical composition of soil organic carbon (SOC), soil microbial community and the functional genes related to carbon cycle. However, the relationships between SOC chemical functional groups and soil microbial communities and the functional genes remains poorly unclear under different revegetation types. Using the solid-state 13C nuclear magnetic resonance (NMR) spectroscopy, we examined changes in the SOC chemical composition of five soils (0–10 cm depth) from Larix gmelinii Rupr. (LG), Pinus koraiensis Sieb. (PK), Quercus mongolica Fisch. (QM), Juglans mandshurica Maxim. (JM), and conifer-broadleaf forest (CB). And the soil microbial community genes related to metabolism of macro-molecular compounds were determined via whole genome shotgun based on Illumina HiSeq. Our results indicated that broadleaf forests (JM, QM) had increased the contents of soil total carbon (C), total nitrogen (N), dissolved organic carbon (DOC), and microbial biomass carbon (MBC), compared with coniferous forests (LG, PK) and the conifer-broadleaf forest (CB). While, the coniferous forests generated a lower O-alcoxyl C, a higher alkyl C, and the ratio of alkyl C/O-alkyl C than broadleaf forests. A total of four kingdoms were identified via whole metagenome shotgun sequencing, including eight archaea, 55 bacteria, 15 eukaryota, and two viruses, giving a total 80 phyla. The contents of alkyne C, phenolic C, methoxyl C, COO/NC=O, and alkyl C were strong related to the composition of soil microbial community and their contents illuminated a major part of the variation in soil microbial composition. We detected seven corresponding macro-molecular compounds of different organic carbon functional group, and 244 genes related to metabolism across all samples, and soil total C, total N, and DOC could be the main factors for microbial functional gene composition. Interestingly, the relative abundances of different SOC chemical functional groups, the phylogenetic distance for microbes, the genes of C cycling based on the KEGG database, and the relative abundance of genes related to metabolism of macro-molecular compounds of different SOC chemical functional groups under different revegetation types all could be divided into three groups, including PK plus LG, JM plus QM, and CB. Our results also illustrated that variations in SOC chemical functional groups were strongly associated with changes of soil microbial community taxa and functional genes, which might be affected by the changes of soil characteristics.

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Soil carbon storage predicted from the diversity of pyrolytic alkanes

Cited by 16 publications

References 43 publications

Density-based fractionation of soil organic matter: effects of heavy liquid and heavy fraction washing

Density-based fractionation of soil organic matter: effects of heavy liquid and heavy fraction washing

Persistence of soil organic carbon caused by functional complexity

Soil Organic Carbon Chemical Functional Groups under Different Revegetation Types Are Coupled with Changes in the Microbial Community Composition and the Functional Genes

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