Unknown

Dataset Information

0

Bounding cross-shelf transport time and degradation in Siberian-Arctic land-ocean carbon transfer.


ABSTRACT: The burial of terrestrial organic carbon (terrOC) in marine sediments contributes to the regulation of atmospheric CO2 on geological timescales and may mitigate positive feedback to present-day climate warming. However, the fate of terrOC in marine settings is debated, with uncertainties regarding its degradation during transport. Here, we employ compound-specific radiocarbon analyses of terrestrial biomarkers to determine cross-shelf transport times. For the World's largest marginal sea, the East Siberian Arctic shelf, transport requires 3600?±?300 years for the 600?km from the Lena River to the Laptev Sea shelf edge. TerrOC was reduced by ~85% during transit resulting in a degradation rate constant of 2.4?±?0.6?kyr-1. Hence, terrOC degradation during cross-shelf transport constitutes a carbon source to the atmosphere over millennial time. For the contemporary carbon cycle on the other hand, slow terrOC degradation brings considerable attenuation of the decadal-centennial permafrost carbon-climate feedback caused by global warming.

SUBMITTER: Broder L 

PROVIDER: S-EPMC5824890 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Bounding cross-shelf transport time and degradation in Siberian-Arctic land-ocean carbon transfer.

Bröder Lisa L   Tesi Tommaso T   Andersson August A   Semiletov Igor I   Gustafsson Örjan Ö  

Nature communications 20180223 1


The burial of terrestrial organic carbon (terrOC) in marine sediments contributes to the regulation of atmospheric CO<sub>2</sub> on geological timescales and may mitigate positive feedback to present-day climate warming. However, the fate of terrOC in marine settings is debated, with uncertainties regarding its degradation during transport. Here, we employ compound-specific radiocarbon analyses of terrestrial biomarkers to determine cross-shelf transport times. For the World's largest marginal  ...[more]

Similar Datasets

| S-EPMC5489687 | biostudies-other
| S-EPMC7118085 | biostudies-literature
| S-EPMC5320976 | biostudies-other
| S-EPMC5756660 | biostudies-literature
| S-EPMC4607703 | biostudies-other
| S-EPMC8050230 | biostudies-literature
| S-EPMC4735638 | biostudies-literature
| S-EPMC7567595 | biostudies-literature
| S-EPMC9756366 | biostudies-literature
| S-EPMC6535028 | biostudies-literature