Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment

The Arctic climate strongly affects phytoplankton production and biomass through several mechanisms, including warming, sea ice retreat, and global atmospheric processes. In order to detect the climatic changes in phytoplankton biomass, long-term variability of chlorophyll a (Chl-a) was estimated in...

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Published in:Biology
Main Authors: Vladimir G. Dvoretsky, Veronika V. Vodopianova, Aleksandra S. Bulavina
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/biology12010119
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spelling ftmdpi:oai:mdpi.com:/2079-7737/12/1/119/ 2023-08-20T04:04:08+02:00 Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment Vladimir G. Dvoretsky Veronika V. Vodopianova Aleksandra S. Bulavina agris 2023-01-11 application/pdf https://doi.org/10.3390/biology12010119 EN eng Multidisciplinary Digital Publishing Institute Conservation Biology and Biodiversity https://dx.doi.org/10.3390/biology12010119 https://creativecommons.org/licenses/by/4.0/ Biology; Volume 12; Issue 1; Pages: 119 phytoplankton climatic fluctuations warming Arctic Barents Sea generalized additive models Text 2023 ftmdpi https://doi.org/10.3390/biology12010119 2023-08-01T08:15:16Z The Arctic climate strongly affects phytoplankton production and biomass through several mechanisms, including warming, sea ice retreat, and global atmospheric processes. In order to detect the climatic changes in phytoplankton biomass, long-term variability of chlorophyll a (Chl-a) was estimated in situ with the changes in the surface sea temperature (SST) and salinity (SSS) in the Barents Sea and adjacent waters during the period of 1984–2021. Spatial differences were detected in SST, SSS, and Chl-a. Chl-a increased parallel to SST in the summer-autumn and spring periods, respectively. Chl-a peaks were found near the ice edge and frontal zones in the spring season, while the highest measures were observed in the coastal regions during the summer seasons. SST and Chl-a demonstrated increasing trends with greater values during 2010–2020. Generalized additive models (GAMs) revealed that SST and Chl-a were positively related with year. Climatic and oceanographic variables explained significant proportions of the Chl-a fluctuations, with six predictors (SST, annual North Atlantic Oscillation index, temperature/salinity anomalies at the Kola Section, and sea ice extent in April and September) being the most important. GAMs showed close associations between increasing Chl-a and a decline in sea ice extent and rising water temperature. Our data may be useful for monitoring the Arctic regions during the era of global changes and provide a basis for future research on factors driving phytoplankton assemblages and primary productivity in the Barents Sea. Text Arctic Barents Sea Climate change North Atlantic North Atlantic oscillation Phytoplankton Sea ice MDPI Open Access Publishing Arctic Barents Sea Biology 12 1 119
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic phytoplankton
climatic fluctuations
warming
Arctic
Barents Sea
generalized additive models
spellingShingle phytoplankton
climatic fluctuations
warming
Arctic
Barents Sea
generalized additive models
Vladimir G. Dvoretsky
Veronika V. Vodopianova
Aleksandra S. Bulavina
Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment
topic_facet phytoplankton
climatic fluctuations
warming
Arctic
Barents Sea
generalized additive models
description The Arctic climate strongly affects phytoplankton production and biomass through several mechanisms, including warming, sea ice retreat, and global atmospheric processes. In order to detect the climatic changes in phytoplankton biomass, long-term variability of chlorophyll a (Chl-a) was estimated in situ with the changes in the surface sea temperature (SST) and salinity (SSS) in the Barents Sea and adjacent waters during the period of 1984–2021. Spatial differences were detected in SST, SSS, and Chl-a. Chl-a increased parallel to SST in the summer-autumn and spring periods, respectively. Chl-a peaks were found near the ice edge and frontal zones in the spring season, while the highest measures were observed in the coastal regions during the summer seasons. SST and Chl-a demonstrated increasing trends with greater values during 2010–2020. Generalized additive models (GAMs) revealed that SST and Chl-a were positively related with year. Climatic and oceanographic variables explained significant proportions of the Chl-a fluctuations, with six predictors (SST, annual North Atlantic Oscillation index, temperature/salinity anomalies at the Kola Section, and sea ice extent in April and September) being the most important. GAMs showed close associations between increasing Chl-a and a decline in sea ice extent and rising water temperature. Our data may be useful for monitoring the Arctic regions during the era of global changes and provide a basis for future research on factors driving phytoplankton assemblages and primary productivity in the Barents Sea.
format Text
author Vladimir G. Dvoretsky
Veronika V. Vodopianova
Aleksandra S. Bulavina
author_facet Vladimir G. Dvoretsky
Veronika V. Vodopianova
Aleksandra S. Bulavina
author_sort Vladimir G. Dvoretsky
title Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment
title_short Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment
title_full Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment
title_fullStr Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment
title_full_unstemmed Effects of Climate Change on Chlorophyll a in the Barents Sea: A Long-Term Assessment
title_sort effects of climate change on chlorophyll a in the barents sea: a long-term assessment
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/biology12010119
op_coverage agris
geographic Arctic
Barents Sea
geographic_facet Arctic
Barents Sea
genre Arctic
Barents Sea
Climate change
North Atlantic
North Atlantic oscillation
Phytoplankton
Sea ice
genre_facet Arctic
Barents Sea
Climate change
North Atlantic
North Atlantic oscillation
Phytoplankton
Sea ice
op_source Biology; Volume 12; Issue 1; Pages: 119
op_relation Conservation Biology and Biodiversity
https://dx.doi.org/10.3390/biology12010119
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/biology12010119
container_title Biology
container_volume 12
container_issue 1
container_start_page 119
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