| 000 | 04329nlm1a2200553 4500 | ||
|---|---|---|---|
| 001 | 668412 | ||
| 005 | 20231030042147.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\39637 | ||
| 035 | _aRU\TPU\network\35585 | ||
| 090 | _a668412 | ||
| 100 | _a20221122a2022 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aMolecular-Multiproxy Assessment of Land-Derived Organic Matter Degradation over Extensive Scales of the East Siberian Arctic Shelf Seas _fF. Matsubara, B. Wild, J. Martens [et al.] |
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| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 330 | _aGlobal warming triggers permafrost thaw, which increases the release of terrigenous organic matter (terr-OM) to the Arctic Ocean by coastal erosion and rivers. Terrigenous OM degradation in the Arctic Ocean contributes to greenhouse gas emissions and severe ocean acidification, yet the vulnerability of different terr-OM components is poorly resolved. Here, terr-OM degradation dynamics are studied with unprecedented spatial coverage over the World's largest shelf sea system - the East Siberian Arctic Shelf (ESAS), using a multi-proxy molecular biomarker approach. Mineral-surface-area-normalized concentrations of terr-OM compounds in surface sediments decreases offshore. Differences between terr-OM compound classes (lignin phenols, high-molecular weight (HMW) n-alkanes, n-alkanoic acids and n-alkanols, sterols, 3,5-dihydroxybenzoic acids, cutin acids) reflect contrasting influence of sources, propensity to microbial degradation and association with sedimenting particles, with lignin phenols disappearing 3-times faster than total terr-OM, and twice faster than other biomarkers. | ||
| 330 | _aMolecular degradation proxiesssubstantial terr-OM degradation across the ESAS, with clearest trends shown by: 3,5-dihydroxybenzoic acid/vanillyl phenol ratios, acid-to-aldehyde ratios of syringyl and vanillyl phenols, Carbon Preference Indices of HMW n-alkyl compounds and sitostanol/β-sitosterol. The combination of terr-OM biomarker data with δ13C/Δ14C-based source apportionment indicates that the more degraded state of lignin is influenced by the relative contribution of river-transported terr-OM from surface soils, while HMW n-alkanoic acids and stigmasterol are influenced by erosion-derived terr-OM from Ice Complex deposits. Our findings demonstrate differences in vulnerability to degradation between contrasting terr-OM pools, and underscore the need to consider molecular properties for understanding and modeling of large-scale biogeochemical processes of the permafrost carbon-climate feedback | ||
| 461 | _tGlobal Biogeochemical Cycles | ||
| 463 |
_tVol. XX, iss. X _v[44 p.] _d2022 |
||
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aArctic Ocean | |
| 610 | 1 | _acarbon cycling | |
| 610 | 1 | _apermafrost | |
| 610 | 1 | _abiomarker | |
| 610 | 1 | _aorganic matter degradation | |
| 610 | 1 | _acontinental shel | |
| 610 | 1 | _aСеверный Ледовитый океан | |
| 610 | 1 | _aвечная мерзлота | |
| 610 | 1 | _aбиомаркеры | |
| 610 | 1 | _aразложение | |
| 610 | 1 | _aорганические вещества | |
| 610 | 1 | _aконтинентальный шельф | |
| 701 | 1 |
_aMatsubara _bF. _gFelipe |
|
| 701 | 1 |
_aWild _bB. _gBirgit |
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| 701 | 1 |
_aMartens _bJ. _gJannik |
|
| 701 | 1 |
_aAndersson _bA. _gAugust |
|
| 701 | 1 |
_aWennström _bR. |
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| 701 | 1 |
_aBröder _bL. _gLisa |
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| 701 | 1 |
_aDudarev _bO. V. _cgeologist _cresearcher of Tomsk Polytechnic University, candidate of geological and mineralogical Sciences _f1955- _gOleg Viktorovich _2stltpush _3(RuTPU)RU\TPU\pers\35379 |
|
| 701 | 1 |
_aSemiletov _bI. P. _cgeographer _cProfessor of Tomsk Polytechnic University, doctor of geographical Sciences _f1955- _gIgor Petrovich _2stltpush _3(RuTPU)RU\TPU\pers\34220 |
|
| 701 | 1 |
_aGustafsson _bÖ. _gÖrjan |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа природных ресурсов _bОтделение геологии _h8083 _2stltpush _3(RuTPU)RU\TPU\col\23542 |
| 801 | 2 |
_aRU _b63413507 _c20221122 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.1029/2022GB007428 | |
| 942 | _cCF | ||