Evidence map›Paper›PMID 37481661›Full record

ArticleScientific reports2023

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

Emil Fridolfsson, Carina Bunse, Elin Lindehoff, Hanna Farnelid, Benjamin Pontiller, Kristofer Bergström, Jarone Pinhassi, Catherine Legrand, Samuel Hylander

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Emil FridolfssonCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.ORCID 0000-0003-4871-7441
Carina BunseCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.ORCID 0000-0002-0683-7755
Elin LindehoffCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.ORCID 0000-0002-1149-6852
Hanna FarnelidCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.ORCID 0000-0003-3083-7437
Benjamin PontillerCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.ORCID 0000-0003-4787-7021
Kristofer BergströmCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden.ORCID 0000-0002-6570-5525
Jarone PinhassiCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden. jarone.pinhassi@lnu.se.ORCID 0000-0002-6405-1347
Catherine LegrandCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden. catherine.legrand@lnu.se.ORCID 0000-0001-7155-3604
Samuel HylanderCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, 39182, Kalmar, Sweden. samuel.hylander@lnu.se.ORCID 0000-0002-3740-5998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Food ChainPlanktonAnimalsCarbonEcosystemPhytoplanktonZooplanktonCarbon

Identifiers

PMID37481661
PMCPMC10363133

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.