New insights into the Barents Sea Calanus glacialis population dynamics and distribution

Arctic copepods are major grazers and vital food for planktivores in polar ecosystems but challenging to observe due to remoteness and seasonal sea ice coverage. Models offer higher spatio-temporal resolution, and individual-based models (IBMs) are useful since they incorporate individual variabilit...

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Published in:Progress in Oceanography
Main Authors: Aarflot, Johanna Myrseth, Eriksen, Elena, Prokopchuk, Irina P., Svensen, Camilla, Søreide, Janne, Wold, Anette, Skogen, Morten D.
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/11250/3103869
https://doi.org/10.1016/j.pocean.2023.103106
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spelling ftimr:oai:imr.brage.unit.no:11250/3103869 2023-12-17T10:23:48+01:00 New insights into the Barents Sea Calanus glacialis population dynamics and distribution Aarflot, Johanna Myrseth Eriksen, Elena Prokopchuk, Irina P. Svensen, Camilla Søreide, Janne Wold, Anette Skogen, Morten D. 2023 application/pdf https://hdl.handle.net/11250/3103869 https://doi.org/10.1016/j.pocean.2023.103106 eng eng Norges forskningsråd: 276730 Progress in Oceanography. 2023, 217 . urn:issn:0079-6611 https://hdl.handle.net/11250/3103869 https://doi.org/10.1016/j.pocean.2023.103106 cristin:2171148 16 217 Progress in Oceanography Peer reviewed Journal article 2023 ftimr https://doi.org/10.1016/j.pocean.2023.103106 2023-11-22T23:47:45Z Arctic copepods are major grazers and vital food for planktivores in polar ecosystems but challenging to observe due to remoteness and seasonal sea ice coverage. Models offer higher spatio-temporal resolution, and individual-based models (IBMs) are useful since they incorporate individual variability which characterizes most copepod populations. Here, we present an IBM of the Arctic copepod Calanus glacialis, a key secondary producer in polar regions of the Barents Sea. The model is coupled to a three-dimensional physical-biological model, and an IBM for the Atlantic congener C. finmarchicus. We use the model to fill seasonal “gaps” between discontinuous spatio-temporal sampling for studying the spatial and seasonal population dynamics. Our simulations suggest that, across the Atlantic and Arctic domains of this ecosystem, total population egg production peaks in July, and copepodid 3 is the main overwintering stage descending to deeper overwintering depths between July and September. Total population biomass peaks at 5 times higher carbon mass than the seasonal minimums and is driven by the seasonal build-up of biomass in stages C4, C5 and adults. Ocean currents spreads the population over a large area, though with a clear spatial separation between C. glacialis and C. finmarchicus in the northern and southern Barents Sea, respectively. There is a mixture between 1- and 2-years life cycles in the model population, and those who require two diapause phases to reach maturity have spent a larger part of their life north of 77°N, where temperatures are colder and the growth season shorter than further south. A remaining question is where the source population of C. glacialis in this ecosystem resides, and whether the population relies on local survival and reproduction or continuous supply from a source population outside the Barents Sea. publishedVersion Article in Journal/Newspaper Arctic copepod Arctic Barents Sea Calanus glacialis Sea ice Copepods Institute for Marine Research: Brage IMR Arctic Barents Sea Progress in Oceanography 217 103106
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
description Arctic copepods are major grazers and vital food for planktivores in polar ecosystems but challenging to observe due to remoteness and seasonal sea ice coverage. Models offer higher spatio-temporal resolution, and individual-based models (IBMs) are useful since they incorporate individual variability which characterizes most copepod populations. Here, we present an IBM of the Arctic copepod Calanus glacialis, a key secondary producer in polar regions of the Barents Sea. The model is coupled to a three-dimensional physical-biological model, and an IBM for the Atlantic congener C. finmarchicus. We use the model to fill seasonal “gaps” between discontinuous spatio-temporal sampling for studying the spatial and seasonal population dynamics. Our simulations suggest that, across the Atlantic and Arctic domains of this ecosystem, total population egg production peaks in July, and copepodid 3 is the main overwintering stage descending to deeper overwintering depths between July and September. Total population biomass peaks at 5 times higher carbon mass than the seasonal minimums and is driven by the seasonal build-up of biomass in stages C4, C5 and adults. Ocean currents spreads the population over a large area, though with a clear spatial separation between C. glacialis and C. finmarchicus in the northern and southern Barents Sea, respectively. There is a mixture between 1- and 2-years life cycles in the model population, and those who require two diapause phases to reach maturity have spent a larger part of their life north of 77°N, where temperatures are colder and the growth season shorter than further south. A remaining question is where the source population of C. glacialis in this ecosystem resides, and whether the population relies on local survival and reproduction or continuous supply from a source population outside the Barents Sea. publishedVersion
format Article in Journal/Newspaper
author Aarflot, Johanna Myrseth
Eriksen, Elena
Prokopchuk, Irina P.
Svensen, Camilla
Søreide, Janne
Wold, Anette
Skogen, Morten D.
spellingShingle Aarflot, Johanna Myrseth
Eriksen, Elena
Prokopchuk, Irina P.
Svensen, Camilla
Søreide, Janne
Wold, Anette
Skogen, Morten D.
New insights into the Barents Sea Calanus glacialis population dynamics and distribution
author_facet Aarflot, Johanna Myrseth
Eriksen, Elena
Prokopchuk, Irina P.
Svensen, Camilla
Søreide, Janne
Wold, Anette
Skogen, Morten D.
author_sort Aarflot, Johanna Myrseth
title New insights into the Barents Sea Calanus glacialis population dynamics and distribution
title_short New insights into the Barents Sea Calanus glacialis population dynamics and distribution
title_full New insights into the Barents Sea Calanus glacialis population dynamics and distribution
title_fullStr New insights into the Barents Sea Calanus glacialis population dynamics and distribution
title_full_unstemmed New insights into the Barents Sea Calanus glacialis population dynamics and distribution
title_sort new insights into the barents sea calanus glacialis population dynamics and distribution
publishDate 2023
url https://hdl.handle.net/11250/3103869
https://doi.org/10.1016/j.pocean.2023.103106
geographic Arctic
Barents Sea
geographic_facet Arctic
Barents Sea
genre Arctic copepod
Arctic
Barents Sea
Calanus glacialis
Sea ice
Copepods
genre_facet Arctic copepod
Arctic
Barents Sea
Calanus glacialis
Sea ice
Copepods
op_source 16
217
Progress in Oceanography
op_relation Norges forskningsråd: 276730
Progress in Oceanography. 2023, 217 .
urn:issn:0079-6611
https://hdl.handle.net/11250/3103869
https://doi.org/10.1016/j.pocean.2023.103106
cristin:2171148
op_doi https://doi.org/10.1016/j.pocean.2023.103106
container_title Progress in Oceanography
container_volume 217
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