Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity

We used molecular biomarkers (brassicasterol, dinosterol and C37 alkenones) measured from the surface sediments of the Bering Sea, the Chukchi Sea and the western Arctic Ocean in years of 1999 and 2010 to represent the groups of phytoplankton (diatoms, dinoflagellates and coccolithophores) and recon...

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Published in:Frontiers in Earth Science
Main Authors: Qian Liu, Dan Yang, Haisheng Zhang, Bing Lu
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2023
Subjects:
Q
Online Access:https://doi.org/10.3389/feart.2023.1204971
https://doaj.org/article/a240e53993624f9fbccf699020bb53bf
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spelling ftdoajarticles:oai:doaj.org/article:a240e53993624f9fbccf699020bb53bf 2023-08-20T04:03:28+02:00 Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity Qian Liu Dan Yang Haisheng Zhang Bing Lu 2023-07-01T00:00:00Z https://doi.org/10.3389/feart.2023.1204971 https://doaj.org/article/a240e53993624f9fbccf699020bb53bf EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/feart.2023.1204971/full https://doaj.org/toc/2296-6463 2296-6463 doi:10.3389/feart.2023.1204971 https://doaj.org/article/a240e53993624f9fbccf699020bb53bf Frontiers in Earth Science, Vol 11 (2023) biomarker phytoplankton community ENSO Arctic Oscillation the Bering Sea the Arctic Ocean Science Q article 2023 ftdoajarticles https://doi.org/10.3389/feart.2023.1204971 2023-07-30T00:34:19Z We used molecular biomarkers (brassicasterol, dinosterol and C37 alkenones) measured from the surface sediments of the Bering Sea, the Chukchi Sea and the western Arctic Ocean in years of 1999 and 2010 to represent the groups of phytoplankton (diatoms, dinoflagellates and coccolithophores) and reconstruct the phytoplankton composition structure and biomass. The distribution of concentrations of three biomarkers were compatible to previous studies on measured phytoplankton, which showed that the phytoplankton biomass was most abundant in the Chukchi Sea, followed by the Bering Sea and the western Arctic Ocean, and diatoms were the dominant group. It suggests that molecular biomarkers are the suitable indicators of phytoplankton composition, structure and abundance. A record of biomarkers in a sediment core (NB01) collected at the Bering Sea in 2010 presented that the biomass of three phytoplankton groups increased in past 107 years, and their variation patterns were consistent. The synchronous increase of concentrations of phytoplankton biomarkers and cholesterol, a proxy of zooplankton biomass, implied that the primary production increased intensely in the last hundreds of years, corresponding to the trend of sea-ice melting as a result of global warming. Moreover, our results suggested that the combined effect of the anormal interannual changes of the El Niño-Southern Oscillation (ENSO) and the Arctic Oscillations (AO) played a key role in regulating the interannual and decadal variations of phytoplankton biomass and community composition, giving us an insight into the impact of atmospheric circulation on phytoplankton production and carbon flux in the Arctic seas. Article in Journal/Newspaper Arctic Arctic Ocean Bering Sea Chukchi Chukchi Sea Global warming Phytoplankton Sea ice Zooplankton Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Bering Sea Chukchi Sea Frontiers in Earth Science 11
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic biomarker
phytoplankton community
ENSO
Arctic Oscillation
the Bering Sea
the Arctic Ocean
Science
Q
spellingShingle biomarker
phytoplankton community
ENSO
Arctic Oscillation
the Bering Sea
the Arctic Ocean
Science
Q
Qian Liu
Dan Yang
Haisheng Zhang
Bing Lu
Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity
topic_facet biomarker
phytoplankton community
ENSO
Arctic Oscillation
the Bering Sea
the Arctic Ocean
Science
Q
description We used molecular biomarkers (brassicasterol, dinosterol and C37 alkenones) measured from the surface sediments of the Bering Sea, the Chukchi Sea and the western Arctic Ocean in years of 1999 and 2010 to represent the groups of phytoplankton (diatoms, dinoflagellates and coccolithophores) and reconstruct the phytoplankton composition structure and biomass. The distribution of concentrations of three biomarkers were compatible to previous studies on measured phytoplankton, which showed that the phytoplankton biomass was most abundant in the Chukchi Sea, followed by the Bering Sea and the western Arctic Ocean, and diatoms were the dominant group. It suggests that molecular biomarkers are the suitable indicators of phytoplankton composition, structure and abundance. A record of biomarkers in a sediment core (NB01) collected at the Bering Sea in 2010 presented that the biomass of three phytoplankton groups increased in past 107 years, and their variation patterns were consistent. The synchronous increase of concentrations of phytoplankton biomarkers and cholesterol, a proxy of zooplankton biomass, implied that the primary production increased intensely in the last hundreds of years, corresponding to the trend of sea-ice melting as a result of global warming. Moreover, our results suggested that the combined effect of the anormal interannual changes of the El Niño-Southern Oscillation (ENSO) and the Arctic Oscillations (AO) played a key role in regulating the interannual and decadal variations of phytoplankton biomass and community composition, giving us an insight into the impact of atmospheric circulation on phytoplankton production and carbon flux in the Arctic seas.
format Article in Journal/Newspaper
author Qian Liu
Dan Yang
Haisheng Zhang
Bing Lu
author_facet Qian Liu
Dan Yang
Haisheng Zhang
Bing Lu
author_sort Qian Liu
title Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity
title_short Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity
title_full Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity
title_fullStr Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity
title_full_unstemmed Interannual and decadal variabilities of phytoplankton community in the Bering Sea and the Arctic Ocean: a case study of relationship with ENSO and Arctic Oscillation abnormity
title_sort interannual and decadal variabilities of phytoplankton community in the bering sea and the arctic ocean: a case study of relationship with enso and arctic oscillation abnormity
publisher Frontiers Media S.A.
publishDate 2023
url https://doi.org/10.3389/feart.2023.1204971
https://doaj.org/article/a240e53993624f9fbccf699020bb53bf
geographic Arctic
Arctic Ocean
Bering Sea
Chukchi Sea
geographic_facet Arctic
Arctic Ocean
Bering Sea
Chukchi Sea
genre Arctic
Arctic Ocean
Bering Sea
Chukchi
Chukchi Sea
Global warming
Phytoplankton
Sea ice
Zooplankton
genre_facet Arctic
Arctic Ocean
Bering Sea
Chukchi
Chukchi Sea
Global warming
Phytoplankton
Sea ice
Zooplankton
op_source Frontiers in Earth Science, Vol 11 (2023)
op_relation https://www.frontiersin.org/articles/10.3389/feart.2023.1204971/full
https://doaj.org/toc/2296-6463
2296-6463
doi:10.3389/feart.2023.1204971
https://doaj.org/article/a240e53993624f9fbccf699020bb53bf
op_doi https://doi.org/10.3389/feart.2023.1204971
container_title Frontiers in Earth Science
container_volume 11
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