Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions

To evaluate the present sea ice changes in a longer‐term perspective, the knowledge of sea ice variability on preindustrial and geological time scales is essential. For the interpretation of proxy reconstructions it is necessary to understand the recent signals of different sea ice proxies from vari...

Full description

Bibliographic Details
Main Authors: Kolling, Henriette M., Stein, Ruediger, Fahl, Kirsten, Sadatzki, Henrik, De Vernal, Anne, Xiao, Xiaotong
Format: Text
Language:English
Published: FID GEO 2020
Subjects:
Online Access:https://dx.doi.org/10.23689/fidgeo-4382
https://e-docs.geo-leo.de/handle/11858/8728
id ftdatacite:10.23689/fidgeo-4382
record_format openpolar
spelling ftdatacite:10.23689/fidgeo-4382 2023-05-15T14:37:35+02:00 Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions Kolling, Henriette M. Stein, Ruediger Fahl, Kirsten Sadatzki, Henrik De Vernal, Anne Xiao, Xiaotong 2020 https://dx.doi.org/10.23689/fidgeo-4382 https://e-docs.geo-leo.de/handle/11858/8728 en eng FID GEO Text Article article-journal ScholarlyArticle 2020 ftdatacite https://doi.org/10.23689/fidgeo-4382 2021-11-05T12:55:41Z To evaluate the present sea ice changes in a longer‐term perspective, the knowledge of sea ice variability on preindustrial and geological time scales is essential. For the interpretation of proxy reconstructions it is necessary to understand the recent signals of different sea ice proxies from various regions. We present 260 new sediment surface samples collected in the (sub‐)Arctic Oceans that were analyzed for specific sea ice (IP25) and open‐water phytoplankton biomarkers (brassicasterol, dinosterol, and highly branched isoprenoid [HBI] III). This new biomarker data set was combined with 615 previously published biomarker surface samples into a pan‐Arctic database. The resulting pan‐Arctic biomarker and sea ice index (PIP25) database shows a spatial distribution correlating well with the diverse modern sea ice concentrations. We find correlations of PBIP25, PDIP25, and PIIIIP25 with spring and autumn sea ice concentrations. Similar correlations with modern sea ice concentrations are observed in Baffin Bay. However, the correlations of the PIP25 indices with modern sea ice concentrations differ in Fram Strait from those of the (sub‐)Arctic data set, which is likely caused by region‐specific differences in sea ice variability, nutrient availability, and other environmental conditions. The extended (sea ice) biomarker database strengthens the validity of biomarker sea ice reconstructions in different Arctic regions and shows how different sea ice proxies combined may resolve specific seasonal sea ice conditions. : Key Points: IP25 provides information about modern sea ice cover on a (sub‐)Arctic‐wide scale. All PIP25 indices correlate well with spring and autumn sea ice concentrations on a (sub‐)Arctic‐wide scale. The combination of biomarker data and dinoflagellate cysts may yield an approach to reconstruct sea ice conditions during different seasons. : EC | Seventh Framework Programme (FP7) http://dx.doi.org/10.13039/100011102 : European Research Council http://dx.doi.org/10.13039/501100000781 : Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659 Text Arctic Baffin Bay Baffin Bay Baffin Fram Strait Phytoplankton Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Baffin Bay
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description To evaluate the present sea ice changes in a longer‐term perspective, the knowledge of sea ice variability on preindustrial and geological time scales is essential. For the interpretation of proxy reconstructions it is necessary to understand the recent signals of different sea ice proxies from various regions. We present 260 new sediment surface samples collected in the (sub‐)Arctic Oceans that were analyzed for specific sea ice (IP25) and open‐water phytoplankton biomarkers (brassicasterol, dinosterol, and highly branched isoprenoid [HBI] III). This new biomarker data set was combined with 615 previously published biomarker surface samples into a pan‐Arctic database. The resulting pan‐Arctic biomarker and sea ice index (PIP25) database shows a spatial distribution correlating well with the diverse modern sea ice concentrations. We find correlations of PBIP25, PDIP25, and PIIIIP25 with spring and autumn sea ice concentrations. Similar correlations with modern sea ice concentrations are observed in Baffin Bay. However, the correlations of the PIP25 indices with modern sea ice concentrations differ in Fram Strait from those of the (sub‐)Arctic data set, which is likely caused by region‐specific differences in sea ice variability, nutrient availability, and other environmental conditions. The extended (sea ice) biomarker database strengthens the validity of biomarker sea ice reconstructions in different Arctic regions and shows how different sea ice proxies combined may resolve specific seasonal sea ice conditions. : Key Points: IP25 provides information about modern sea ice cover on a (sub‐)Arctic‐wide scale. All PIP25 indices correlate well with spring and autumn sea ice concentrations on a (sub‐)Arctic‐wide scale. The combination of biomarker data and dinoflagellate cysts may yield an approach to reconstruct sea ice conditions during different seasons. : EC | Seventh Framework Programme (FP7) http://dx.doi.org/10.13039/100011102 : European Research Council http://dx.doi.org/10.13039/501100000781 : Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
format Text
author Kolling, Henriette M.
Stein, Ruediger
Fahl, Kirsten
Sadatzki, Henrik
De Vernal, Anne
Xiao, Xiaotong
spellingShingle Kolling, Henriette M.
Stein, Ruediger
Fahl, Kirsten
Sadatzki, Henrik
De Vernal, Anne
Xiao, Xiaotong
Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions
author_facet Kolling, Henriette M.
Stein, Ruediger
Fahl, Kirsten
Sadatzki, Henrik
De Vernal, Anne
Xiao, Xiaotong
author_sort Kolling, Henriette M.
title Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions
title_short Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions
title_full Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions
title_fullStr Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions
title_full_unstemmed Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions
title_sort biomarker distributions in (sub)‐arctic surface sediments and their potential for sea ice reconstructions
publisher FID GEO
publishDate 2020
url https://dx.doi.org/10.23689/fidgeo-4382
https://e-docs.geo-leo.de/handle/11858/8728
geographic Arctic
Baffin Bay
geographic_facet Arctic
Baffin Bay
genre Arctic
Baffin Bay
Baffin Bay
Baffin
Fram Strait
Phytoplankton
Sea ice
genre_facet Arctic
Baffin Bay
Baffin Bay
Baffin
Fram Strait
Phytoplankton
Sea ice
op_doi https://doi.org/10.23689/fidgeo-4382
_version_ 1766309818970144768