Multiyear analysis uncovers coordinated seasonality in stocks and composition of the planktonic food web in the Baltic Sea proper.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
22 07 2023
Historique:
received: 12 10 2022
accepted: 15 07 2023
medline: 26 7 2023
pubmed: 23 7 2023
entrez: 22 7 2023
Statut: epublish

Résumé

The planktonic realm from bacteria to zooplankton provides the baseline for pelagic aquatic food webs. However, multiple trophic levels are seldomly included in time series studies, hampering a holistic understanding of the influence of seasonal dynamics and species interactions on food web structure and biogeochemical cycles. Here, we investigated plankton community composition, focusing on bacterio-, phyto- and large mesozooplankton, and how biotic and abiotic factors correlate at the Linnaeus Microbial Observatory (LMO) station in the Baltic Sea from 2011 to 2018. Plankton communities structures showed pronounced dynamic shifts with recurring patterns. Summarizing the parts of the planktonic microbial food web studied here to total carbon, a picture emerges with phytoplankton consistently contributing > 39% while bacterio- and large mesozooplankton contributed ~ 30% and ~ 7%, respectively, during summer. Cyanophyceae, Actinobacteria, Bacteroidetes, and Proteobacteria were important groups among the prokaryotes. Importantly, Dinophyceae, and not Bacillariophyceae, dominated the autotrophic spring bloom whereas Litostomatea (ciliates) and Appendicularia contributed significantly to the consumer entities together with the more traditionally observed mesozooplankton, Copepoda and Cladocera. Our findings of seasonality in both plankton composition and carbon stocks emphasize the importance of time series analyses of food web structure for characterizing the regulation of biogeochemical cycles and appropriately constraining ecosystem models.

Identifiants

pubmed: 37481661
doi: 10.1038/s41598-023-38816-0
pii: 10.1038/s41598-023-38816-0
pmc: PMC10363133
doi:

Substances chimiques

Carbon 7440-44-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

11865

Informations de copyright

© 2023. The Author(s).

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Auteurs

Emil Fridolfsson (E)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.

Carina Bunse (C)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.
Department of Marine Sciences, University of Gothenburg, 40530, Gothenburg, Sweden.

Elin Lindehoff (E)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.

Hanna Farnelid (H)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.

Benjamin Pontiller (B)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.
GEOMAR Helmholtz Centre for Ocean Research Kiel, E24105, Kiel, Germany.

Kristofer Bergström (K)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.

Jarone Pinhassi (J)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden. jarone.pinhassi@lnu.se.

Catherine Legrand (C)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden. catherine.legrand@lnu.se.
School of Business, Innovation and Sustainability, Halmstad University, 30118, Halmstad, Sweden. catherine.legrand@lnu.se.

Samuel Hylander (S)

Centre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden. samuel.hylander@lnu.se.

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Classifications MeSH