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 pre-industrial 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
Published in:Geochemistry, Geophysics, Geosystems
Main Authors: Kolling, Henriette, Stein, Rüdiger, Fahl, Kirsten, Sadatzki, Henrik, de Vernal, Anne, Xiao, Xiaotong
Format: Article in Journal/Newspaper
Language:unknown
Published: Wiley 2020
Subjects:
Online Access:https://epic.awi.de/id/eprint/52904/
https://hdl.handle.net/10013/epic.9505b9d9-632f-4411-9bca-e1337abe4046
id ftawi:oai:epic.awi.de:52904
record_format openpolar
spelling ftawi:oai:epic.awi.de:52904 2024-09-15T17:51:24+00:00 Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions Kolling, Henriette Stein, Rüdiger Fahl, Kirsten Sadatzki, Henrik de Vernal, Anne Xiao, Xiaotong 2020 https://epic.awi.de/id/eprint/52904/ https://hdl.handle.net/10013/epic.9505b9d9-632f-4411-9bca-e1337abe4046 unknown Wiley Kolling, H. , Stein, R. orcid:0000-0002-4453-9564 , Fahl, K. orcid:0000-0001-9317-4656 , Sadatzki, H. orcid:0000-0002-1270-6807 , de Vernal, A. and Xiao, X. (2020) Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions , Geochemistry Geophysics Geosystems, 21 (10), e2019GC008629 . doi:10.1029/2019GC008629 <https://doi.org/10.1029/2019GC008629> , hdl:10013/epic.9505b9d9-632f-4411-9bca-e1337abe4046 EPIC3Geochemistry Geophysics Geosystems, Wiley, 21(10), pp. e2019GC008629, ISSN: 1525-2027 Article isiRev 2020 ftawi https://doi.org/10.1029/2019GC008629 2024-06-24T04:24:41Z To evaluate the present sea-ice changes in a longer-term perspective the knowledge of sea-ice variability on pre-industrial 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 analysed for specific sea-ice (IP25) and open-water phytoplankton biomarkers (brassicasterol, dinosterol, HBI III). This new biomarker dataset 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 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 dataset, 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 signals. Article in Journal/Newspaper Arctic Baffin Bay Baffin Bay Baffin Fram Strait Phytoplankton Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Geochemistry, Geophysics, Geosystems 21 10
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description To evaluate the present sea-ice changes in a longer-term perspective the knowledge of sea-ice variability on pre-industrial 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 analysed for specific sea-ice (IP25) and open-water phytoplankton biomarkers (brassicasterol, dinosterol, HBI III). This new biomarker dataset 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 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 dataset, 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 signals.
format Article in Journal/Newspaper
author Kolling, Henriette
Stein, Rüdiger
Fahl, Kirsten
Sadatzki, Henrik
de Vernal, Anne
Xiao, Xiaotong
spellingShingle Kolling, Henriette
Stein, Rüdiger
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
Stein, Rüdiger
Fahl, Kirsten
Sadatzki, Henrik
de Vernal, Anne
Xiao, Xiaotong
author_sort Kolling, Henriette
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 Wiley
publishDate 2020
url https://epic.awi.de/id/eprint/52904/
https://hdl.handle.net/10013/epic.9505b9d9-632f-4411-9bca-e1337abe4046
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_source EPIC3Geochemistry Geophysics Geosystems, Wiley, 21(10), pp. e2019GC008629, ISSN: 1525-2027
op_relation Kolling, H. , Stein, R. orcid:0000-0002-4453-9564 , Fahl, K. orcid:0000-0001-9317-4656 , Sadatzki, H. orcid:0000-0002-1270-6807 , de Vernal, A. and Xiao, X. (2020) Biomarker Distributions in (Sub)‐Arctic Surface Sediments and Their Potential for Sea Ice Reconstructions , Geochemistry Geophysics Geosystems, 21 (10), e2019GC008629 . doi:10.1029/2019GC008629 <https://doi.org/10.1029/2019GC008629> , hdl:10013/epic.9505b9d9-632f-4411-9bca-e1337abe4046
op_doi https://doi.org/10.1029/2019GC008629
container_title Geochemistry, Geophysics, Geosystems
container_volume 21
container_issue 10
_version_ 1810293307044003840