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...
Published in: | Geochemistry, Geophysics, Geosystems |
---|---|
Main Authors: | , , , , , |
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 |