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Record W4412416987 · doi:10.1007/s11160-025-09966-3

Running on empty: capelin diet after stock collapse

2025· article· en· W4412416987 on OpenAlexafffundabout
Hannah M. Murphy, Aaron T. Adamack, Mariano Koen‐Alonso, Paula Lundrigan, Fran Mowbray

Bibliographic record

VenueReviews in Fish Biology and Fisheries · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsFisheries and Oceans Canada
FundersFisheries and Oceans Canada
KeywordsBiologyCapelinStock (firearms)FisheryEngineeringFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Abstract The Newfoundland capelin stock in Northwest Atlantic Fisheries Organization Divisions 2J3KL collapsed in 1991 with only a modest recovery over 30+ years. Resource limitation is hypothesized to be a driver of this slow stock recovery. Using detailed seasonal diet data (1999–2022), capelin diet was dominated by calanoid copepods in both spring and autumn, with hyperiid amphipods, euphausiids, and appendicularians increasing in importance with ontogeny. Euphausiids continue to be less important in the diet now compared to the 1970s and 1980s. Capelin spring diet changed around 2011 which corresponded with an increase in appendicularians in the diet, a lower quality prey taxa. Compared to other stocks worldwide, Newfoundland capelin have amongst the lowest ratios of stomach content weight to whole body weight suggesting they are experiencing resource limitations. Using a seasonal (spring and autumn) interval scale (0–4) of stomach fullness, we developed a stomach fullness index ( $$ISFI$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ISFI</mml:mi> </mml:mrow> </mml:math> ) that covered 42 years (1980–2022) of capelin sampling. Five changepoints were detected during the “boom and bust” periods in the 1980s and early 1990s, with higher mean seasonal $$ISFI$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ISFI</mml:mi> </mml:mrow> </mml:math> s during boom periods compared to the early 1990s bust period. Average $$ISFI$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ISFI</mml:mi> </mml:mrow> </mml:math> from 1995 to 2022 is lower than the $$ISFI$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ISFI</mml:mi> </mml:mrow> </mml:math> from the stock high of the late 1980s and has varied without trend since 1995. Our results provide support for the hypothesis that resource limitation, which could be due to prey availability and/or intra-specific competition, is impacting the recovery potential of Newfoundland capelin, supporting the hypothesis that this stock is bottom-up regulated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.232
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.033
GPT teacher head0.294
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations2
Published2025
Admission routes3
Has abstractyes

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