Soil organic matter transport along an sub-Arctic river–sea transect

Selver, Ayça Doğrul; Talbot, Helen M.; Gustafsson, Örjan; Boult, Stephen; Dongen, Bart E. van

doi:10.1016/j.orggeochem.2012.08.002

Cited by 32 publications

(26 citation statements)

References 66 publications

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“…Interestingly, not all correlations between the BIT index and δ 13 C were nonlinear (Figure c). Some studies have shown that the BIT index correlated linearly with δ 13 C [e.g., Doğrul Selver et al ., ; Smith et al ., , ], while some showed only a weak or no significant correlation [e.g., Kim et al ., ; Walsh et al ., ; Xing et al ., ; Wu et al ., ]. Smith et al .…”

Section: Discussionmentioning

confidence: 97%

“…[] also observed a nonlinear correlation between BIT and δ 13 C along a cross‐shelf Arctic transect in the East Siberian Sea (ESS) from the mouth of the Kolyma River to the middle of the ESS, but they found that another soil index, R soil , based on bacteriohopanepolyols (BHPs), showed a strong linear correlation with δ 13 C. They attributed this to the difference in the addition of the marine components crenarchaeol and bacteriohopanetetrol (BHT) rather than the difference in the removal (degradation and/or hydrodynamic sorting) of brGDGTs, soil marker BHPs, and other terrestrial‐derived OC throughout the transect, because they found that soil marker BHPs appeared to be removed more rapidly than brGDGTs [ Doğrul Selver et al ., ]. In addition, in contrast to the brGDGTs, which was derived mainly from fluvial transport, coastal erosion was thought to be responsible for the strong linear correlation between R soil and δ 13 C because coastal erosion may account for the majority of the BHP and bulk δ 13 C signals in this region, [ Doğrul Selver et al ., ], as opposed to another (sub‐Arctic ) Arctic system that has less coastal erosion [ Doğrul Selver et al ., ].…”

Section: Discussionmentioning

confidence: 99%

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A multiproxy analysis of sedimentary organic carbon in the Changjiang Estuary and adjacent shelf

Yao

Bianchi

et al. 2015

JGR Biogeosciences

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Surface sediments from the Changjiang Estuary and adjacent shelf were analyzed using a variety of bulk and molecular techniques, including grain size composition, sediment surface area (SSA), elemental composition (C, N), stable carbon isotopic composition (δ 13 C), n-alkanes, lignin phenols, and glycerol dialkyl glycerol tetraether lipids to obtain a more comprehensive understanding of the sources and fate of sedimentary organic carbon (SOC) in this dynamic region. Bulk N/C ratios of 0.09 to 0.15, δ 13 C of À24.4‰ to À21.1‰, branched/isoprenoid tetraether index of 0 to 0.74, n-alkane content of 0.02 to 0.37 mg g À1 organic carbon (OC), and lignin content (Λ 8 ) of 0.10 to 1.46 mg/100 mg OC and other related molecular indices in these samples indicate a mixed source of marine, soil, and terrestrial plant-derived OC in the study area. A three-end-member mixing model using principal component analysis (PCA) factors as source markers and based on Monte Carlo (MC) simulation was constructed to estimate the relative contributions of OC from different sources. Compared with traditional mixing models, commonly based on a few variables, this newly developed PCA-MC model supported bulk and biomarker data and yielded a higher-resolution OC inputs to different subregions of this system. In particular, the results showed that the average contributions of marine, soil, and terrestrial OC in the study area were 35.3%, 47.0%, and 17.6%, and the highest contribution from each OC source was mainly observed in the shelf, inner estuary, and coastal region, respectively.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

A multiproxy analysis of sedimentary organic carbon in the Changjiang Estuary and adjacent shelf

Yao

Bianchi

et al. 2015

JGR Biogeosciences

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“…Erosion rates from ICDs are 5-7 times greater than other coastal permafrost and are responsible for a large proportion of the sediment and OC input to the ESAS (Vonk et al, 2012, and references therein). Biomarker investigations have been able to identify and model the contribution from fluvial and coastal delivery processes separately (Bischoff et al, 2016;Dogrul Selver et al, 2015;Sparkes et al, 2015). Tesi et al (2016) showed that biomarker and radiocarbon values differed between areas dominated by ICDs (from coastal erosion) and topsoil (from river erosion), and that these values varied between size and density fractions.…”

Section: Study Area and Sample Collectionmentioning

confidence: 99%

Macromolecular composition of terrestrial and marine organic matter in sediments across the East Siberian Arctic Shelf

et al. 2016

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Abstract. Mobilisation of terrestrial organic carbon (terrOC) from permafrost environments in eastern Siberia has the potential to deliver significant amounts of carbon to the Arctic Ocean, via both fluvial and coastal erosion. Eroded terrOC can be degraded during offshore transport or deposited across the wide East Siberian Arctic Shelf (ESAS). Most studies of terrOC on the ESAS have concentrated on solvent-extractable organic matter, but this represents only a small proportion of the total terrOC load. In this study we have used pyrolysis–gas chromatography–mass spectrometry (py-GCMS) to study all major groups of macromolecular components of the terrOC; this is the first time that this technique has been applied to the ESAS. This has shown that there is a strong offshore trend from terrestrial phenols, aromatics and cyclopentenones to marine pyridines. There is good agreement between proportion phenols measured using py-GCMS and independent quantification of lignin phenol concentrations (r2 = 0.67, p < 0.01, n = 24). Furfurals, thought to represent carbohydrates, show no offshore trend and are likely found in both marine and terrestrial organic matter. We have also collected new radiocarbon data for bulk OC (14COC) which, when coupled with previous measurements, allows us to produce the most comprehensive 14COC map of the ESAS to date. Combining the 14COC and py-GCMS data suggests that the aromatics group of compounds is likely sourced from old, aged terrOC, in contrast to the phenols group, which is likely sourced from modern woody material. We propose that an index of the relative proportions of phenols and pyridines can be used as a novel terrestrial vs. marine proxy measurement for macromolecular organic matter. Principal component analysis found that various terrestrial vs. marine proxies show different patterns across the ESAS, and it shows that multiple river–ocean transects of surface sediments transition from river-dominated to coastal-erosion-dominated to marine-dominated signatures.

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“…(a) and (b)) for these compounds are m/z 151 (from [M + H] + precursor ion m/z 761, terminal group not acetylated) and m/z 192 (from [M + H] + precursor ion m/z 802, terminal group with one acetylated functionality), respectively. The exact TG structures of these two compounds are currently unknown, meaning that they are known simply as ‘Adenosylhopane Type‐2′ ( If , IIf ) and ‘Adenosylhopane Type‐3′ ( If’ , IIf’ ), respectively . The equivalent [M + H] + ions for the non‐acetylated structures as well as the proposed terminal group ions (by analogy with adenosylhopane; Figs.…”

Section: Resultsmentioning

confidence: 99%

Analysis of non‐derivatised bacteriohopanepolyols by ultrahigh‐performance liquid chromatography/tandem mass spectrometry

Talbot

Sidgwick

Bischoff

et al. 2016

Rapid Comm Mass Spectrometry

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Soil organic matter transport along an sub-Arctic river–sea transect

Cited by 32 publications

References 66 publications

A multiproxy analysis of sedimentary organic carbon in the Changjiang Estuary and adjacent shelf

A multiproxy analysis of sedimentary organic carbon in the Changjiang Estuary and adjacent shelf

Macromolecular composition of terrestrial and marine organic matter in sediments across the East Siberian Arctic Shelf

Analysis of non‐derivatised bacteriohopanepolyols by ultrahigh‐performance liquid chromatography/tandem mass spectrometry

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