Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018

In the northern Bering Sea, ice coverage and retreat timing were low and early, respectively, in the 2017–2018 winter. To evaluate the effect of these anomalous ice conditions, we quantified various environmental parameters (temperature, salinity, mixed-layer depth, nutrients) and the standing stock...

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Published in:Polar Science
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16412
http://id.nii.ac.jp/1291/00016290/
id ftnipr:oai:nipr.repo.nii.ac.jp:00016412
record_format openpolar
spelling ftnipr:oai:nipr.repo.nii.ac.jp:00016412 2023-05-15T15:43:22+02:00 Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018 2021-03 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16412 http://id.nii.ac.jp/1291/00016290/ en eng https://doi.org/10.1016/j.polar.2020.100555 https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16412 http://id.nii.ac.jp/1291/00016290/ Polar Science, 100555(2021-03) 18739652 The northern Bering sea Plankton stock Yearly change Structural equation modelling (SEM) analysis Journal Article 2021 ftnipr https://doi.org/10.1016/j.polar.2020.100555 2022-12-03T19:43:21Z In the northern Bering Sea, ice coverage and retreat timing were low and early, respectively, in the 2017–2018 winter. To evaluate the effect of these anomalous ice conditions, we quantified various environmental parameters (temperature, salinity, mixed-layer depth, nutrients) and the standing stocks of various planktonic taxa (phytoplankton counts, meso- and macrozooplankton mass, jellyfish abundance) during July of 2017 and 2018. For each year, the interaction between each parameter was evaluated by structural equation modelling (SEM) analysis. Large yearly differences were detected for the interactions between environmental parameters and planktonic stocks. Thus, for 2017, a total of fifteen interactions were present between environmental parameters and various planktonic stocks. In 2018, however, only eight interactions were present. Among the interactions, four were common to the two years. It is notable that the path coefficients of these four interactions were all lower in 2018 than in 2017. These findings suggest that the small magnitude and short pulse of the phytoplankton bloom in 2018 may have failed to transfer production and energy to a higher trophic level even within the planktonic food web. Indeed, in 2018, mass mortality was reported for seabirds (two murre species) feeding on planktivorous fishes. Article in Journal/Newspaper Bering Sea Polar Science Polar Science Sea ice National Institute of Polar Research Repository, Japan Bering Sea Polar Science 27 100555
institution Open Polar
collection National Institute of Polar Research Repository, Japan
op_collection_id ftnipr
language English
topic The northern Bering sea
Plankton stock
Yearly change
Structural equation modelling (SEM) analysis
spellingShingle The northern Bering sea
Plankton stock
Yearly change
Structural equation modelling (SEM) analysis
Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018
topic_facet The northern Bering sea
Plankton stock
Yearly change
Structural equation modelling (SEM) analysis
description In the northern Bering Sea, ice coverage and retreat timing were low and early, respectively, in the 2017–2018 winter. To evaluate the effect of these anomalous ice conditions, we quantified various environmental parameters (temperature, salinity, mixed-layer depth, nutrients) and the standing stocks of various planktonic taxa (phytoplankton counts, meso- and macrozooplankton mass, jellyfish abundance) during July of 2017 and 2018. For each year, the interaction between each parameter was evaluated by structural equation modelling (SEM) analysis. Large yearly differences were detected for the interactions between environmental parameters and planktonic stocks. Thus, for 2017, a total of fifteen interactions were present between environmental parameters and various planktonic stocks. In 2018, however, only eight interactions were present. Among the interactions, four were common to the two years. It is notable that the path coefficients of these four interactions were all lower in 2018 than in 2017. These findings suggest that the small magnitude and short pulse of the phytoplankton bloom in 2018 may have failed to transfer production and energy to a higher trophic level even within the planktonic food web. Indeed, in 2018, mass mortality was reported for seabirds (two murre species) feeding on planktivorous fishes.
format Article in Journal/Newspaper
title Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018
title_short Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018
title_full Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018
title_fullStr Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018
title_full_unstemmed Between-year comparison of interactions between environmental parameters and various plankton stocks in the northern Bering Sea during the summers of 2017 and 2018
title_sort between-year comparison of interactions between environmental parameters and various plankton stocks in the northern bering sea during the summers of 2017 and 2018
publishDate 2021
url https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16412
http://id.nii.ac.jp/1291/00016290/
geographic Bering Sea
geographic_facet Bering Sea
genre Bering Sea
Polar Science
Polar Science
Sea ice
genre_facet Bering Sea
Polar Science
Polar Science
Sea ice
op_relation https://doi.org/10.1016/j.polar.2020.100555
https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=16412
http://id.nii.ac.jp/1291/00016290/
Polar Science, 100555(2021-03)
18739652
op_doi https://doi.org/10.1016/j.polar.2020.100555
container_title Polar Science
container_volume 27
container_start_page 100555
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