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A Lagrangian model‐based analysis of protist plankton variability and its impact on organic matter dynamics along transit pathways through the Fram Strait

A Lagrangian model‐based analysis of protist plankton variability and its impact on organic matter dynamics along transit pathways through the Fram Strait
A Lagrangian model‐based analysis of protist plankton variability and its impact on organic matter dynamics along transit pathways through the Fram Strait
The Arctic Ocean is characterized by substantial seasonal and inter‐annual variability, of which the sources and impacts are not yet fully understood. Here, we analyze how much of the variability found in in situ observations of biogeochemical and ecological variables collected at the Long‐Term Ecological Research Observatory HAUSGARTEN can be explained by differences in the physical conditions in the water masses passing through the Fram Strait (FS). Employing a size‐based plankton ecosystem model with nine distinct size classes of protist phyto‐ and zooplankton, we simulate standing stocks and fluxes within the nutrient, phytoplankton, zooplankton, and detritus pools in water parcels that follow trajectories tracing the opposing East‐Greenland and West‐Spitsbergen currents through the FS. Our model results agree with in situ observations of biogeochemical tracers, plankton size measurements, climatological data, and remote sensing observations. They show distinct temporal developments in plankton size composition, growth, and export in trajectory ensembles, highlighting how variable physical conditions affect the communities' specific growth histories. Our study indicates that 10%–72% of the variability in upper water column tracer concentrations observed in the FS can be attributed to differences in water parcel trajectories. The maxima of net primary production and vertical export along the trajectories occurred in some (spatial and temporal) distance upstream of the sites of in situ sampling. This study shows that Lagrangian modeling helps clarify complex biogeochemical‐ecological relationships in highly dynamic systems such as the FS, which is urgently needed to understand the role of climate change in the Arctic carbon cycle.
2169-9275
Lampe, Vanessa
27af1792-544f-4a31-8b40-51a906708d88
Hunter, Aidan
1482f6c6-604a-4b93-9410-9c7fdd249092
Ward, Ben Andrew
9063af30-e344-4626-9470-8db7c1543d05
Nöthig, Eva‐Maria
19f67d09-dfa4-4442-b672-e7ef2107b34b
Engel, Anja
f0a8db1d-c2b1-43e5-969a-e7f5b29cdf88
Ellingsen, Ingrid Helene
b06f17f0-d05e-45ed-82e7-7b11693f3ccb
Schartau, Markus
ae10d82f-2a65-453c-abe9-dc8e12bc2443
Lampe, Vanessa
27af1792-544f-4a31-8b40-51a906708d88
Hunter, Aidan
1482f6c6-604a-4b93-9410-9c7fdd249092
Ward, Ben Andrew
9063af30-e344-4626-9470-8db7c1543d05
Nöthig, Eva‐Maria
19f67d09-dfa4-4442-b672-e7ef2107b34b
Engel, Anja
f0a8db1d-c2b1-43e5-969a-e7f5b29cdf88
Ellingsen, Ingrid Helene
b06f17f0-d05e-45ed-82e7-7b11693f3ccb
Schartau, Markus
ae10d82f-2a65-453c-abe9-dc8e12bc2443

Lampe, Vanessa, Hunter, Aidan, Ward, Ben Andrew, Nöthig, Eva‐Maria, Engel, Anja, Ellingsen, Ingrid Helene and Schartau, Markus (2024) A Lagrangian model‐based analysis of protist plankton variability and its impact on organic matter dynamics along transit pathways through the Fram Strait. Journal of Geophysical Research: Oceans, 129 (10), [e2024JC021254]. (doi:10.1029/2024jc021254).

Record type: Article

Abstract

The Arctic Ocean is characterized by substantial seasonal and inter‐annual variability, of which the sources and impacts are not yet fully understood. Here, we analyze how much of the variability found in in situ observations of biogeochemical and ecological variables collected at the Long‐Term Ecological Research Observatory HAUSGARTEN can be explained by differences in the physical conditions in the water masses passing through the Fram Strait (FS). Employing a size‐based plankton ecosystem model with nine distinct size classes of protist phyto‐ and zooplankton, we simulate standing stocks and fluxes within the nutrient, phytoplankton, zooplankton, and detritus pools in water parcels that follow trajectories tracing the opposing East‐Greenland and West‐Spitsbergen currents through the FS. Our model results agree with in situ observations of biogeochemical tracers, plankton size measurements, climatological data, and remote sensing observations. They show distinct temporal developments in plankton size composition, growth, and export in trajectory ensembles, highlighting how variable physical conditions affect the communities' specific growth histories. Our study indicates that 10%–72% of the variability in upper water column tracer concentrations observed in the FS can be attributed to differences in water parcel trajectories. The maxima of net primary production and vertical export along the trajectories occurred in some (spatial and temporal) distance upstream of the sites of in situ sampling. This study shows that Lagrangian modeling helps clarify complex biogeochemical‐ecological relationships in highly dynamic systems such as the FS, which is urgently needed to understand the role of climate change in the Arctic carbon cycle.

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JGR Oceans - 2024 - Lampe - A Lagrangian Model‐Based Analysis of Protist Plankton Variability and Its Impact on Organic - Version of Record
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Accepted/In Press date: 26 September 2024
Published date: 13 October 2024

Identifiers

Local EPrints ID: 498423
URI: http://eprints.soton.ac.uk/id/eprint/498423
ISSN: 2169-9275
PURE UUID: 869cc8b5-d22a-4853-ad01-9458d7a0df6e
ORCID for Ben Andrew Ward: ORCID iD orcid.org/0000-0003-1290-8270

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Date deposited: 18 Feb 2025 17:38
Last modified: 22 Aug 2025 02:24

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Contributors

Author: Vanessa Lampe
Author: Aidan Hunter
Author: Ben Andrew Ward ORCID iD
Author: Eva‐Maria Nöthig
Author: Anja Engel
Author: Ingrid Helene Ellingsen
Author: Markus Schartau

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