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Record W2099791792 · doi:10.1093/plankt/22.4.779

Pathways of carbon cycling in marine surface waters: the fate of small-sized phytoplankton in the Northeast Water Polynya

2000· article· en· W2099791792 on OpenAlexaff
Stéphane Pesant, Louis Legendre, Michel Gosselin, Peter Koefoed Bjørnsen, Louis Fortier, J Michaud, Torkel Gissel Nielsen

Bibliographic record

VenueJournal of Plankton Research · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsUniversité du Québec à RimouskiUniversité Laval
Fundersnot available
KeywordsPhytoplanktonOceanographyEnvironmental sciencePlanktonZooplanktonHydrographyCarbon cycleEcologyNutrientBiologyGeologyEcosystem

Abstract

fetched live from OpenAlex

The fate of small-sized phytoplankton (<5 μm) and pathways of carbon cycling in surface waters, i.e. recycling within or export out of the mixed layer, were investigated in the Northeast Water (NEW) Polynya (77–81°N) from 23 May to 22 July 1993. The sampling covered a wide range of ice, hydrographic and nutrient conditions. Chlorophyll a concentrations, phytoplankton production rates and zooplankton abundances were determined in the field, and potential rates of grazing by protozoa, copepods and appendicularians were calculated from abundances, using assumptions from the literature. To our knowledge, this is the first published attempt to assess concurrently the grazing of these three plankton groups in the Arctic. The production rate of small-sized phytoplankton was significantly higher in ice-free compared with ice-covered areas, but the biomasses of small-sized phytoplankton and zooplankton were not. Potential recycling, downward export and horizontal advection of phytoplankton were calculated by resolving carbon budgets for the mixed layer. A large fraction of the small-sized phytoplankton produced inside the polynya was advected horizontally to the ice-covered part of the NEW, where these algae were necessary to sustain the heterotrophic community. We conclude that the fate of small-sized phytoplankton production was mostly recycling (>70%). Downward export would have occurred infrequently, as a result of intense grazing by appendicularians. Size-differential pathways of carbon cycling in planktonic food webs are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.259
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2000
Admission routes1
Has abstractyes

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