4.5 Article

HBIs and Sterols in Surface Sediments Across the East Siberian Sea: Implications for Palaeo Sea-Ice Reconstructions

期刊

GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS
卷 23, 期 2, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021GC009940

关键词

sea ice; biomarkers; IP25; PIP25 index; East Siberian Sea; Arctic Estuary

资金

  1. National Natural Science Foundation of China [41606052, 41941013, 41976229, 42076242]
  2. National Key Research and Development Program of China [2019YFC1509101]
  3. Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao) [2018SDKJ0104-3]
  4. Scientific Research Funds of the Second Institute of Oceanography, State Oceanic Administration, China [JG1611, JG1911, JG1806]
  5. Russian Science Foundation [21-17-00081]
  6. Russian Science Foundation [21-17-00081] Funding Source: Russian Science Foundation

向作者/读者索取更多资源

HBIs in marine sediments are used to reconstruct polar sea ice, but biases induced by continental run-off may affect the reliability of semi-quantitative sea ice estimates based on biomarkers in Arctic Ocean margins.
Highly branched isoprenoids (HBIs) in marine sediments have emerged as promising semi-quantitative proxies to reconstruct seasonal sea ice in polar oceans. In this work, we examine the distribution of sympagic HBIs (IP25 and HBI-II), pelagic phytoplankton biomarkers (brassicasterol, dinosterol and HBI-III) as well as terrestrial sterols (campesterol and beta-sitosterol) in the surface sediments of the East Siberian Sea (ESS) to test their reliability as sea-ice proxies under continental run-off influence. Our data suggest that dinosterol performs better than brassicasterol to assess sea ice across the ESS shelf, yet the correlation between PDIP25 and spring sea ice is relatively weak but improves when removing sites with salinity <25. Strongest relationship is found between PIIIIP25 and summer sea ice in regions remote from riverine influence. Overall, our results show that semi-quantitative estimates of sea ice based on biomarkers can be problematic in Arctic Ocean margins because of biases induced by continental run-off on biological productivity and sea-ice production.

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