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Record W2070980362 · doi:10.1139/f09-051

Contrasting responses in larval and juvenile growth to a climate–ocean regime shift between anchovy and sardine

2009· article· en· W2070980362 on OpenAlexvenueno aff
Motomitsu Takahashi, Yoshirô Watanabe, Akihiko Yatsu, Hiroshi NISHIDA

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
FundersFisheries Agency
KeywordsAnchovySardineOceanographyFisheryEngraulisPopulationSubarctic climateSubtropicsEnvironmental scienceSea surface temperatureGeologyBiologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Anchovy and sardine populations have fluctuated alternately with decadal changes in climatic and oceanic states, although the mechanisms remain unclear. In the western North Pacific, anchovy and sardine share nursery grounds in the Kuroshio–Oyashio transitional waters, where the subtropical and subarctic currents converge from the south and north, respectively. We found that northward expansion of the subtropical waters simultaneously changed the local environment in the nursery grounds to be favorable for late larvae and early juveniles of anchovy, but not for those of sardine during 1996–2002. Increased temperature enhanced growth and survival for anchovy, whereas reduced food availability diminished those for sardine. Northward expansion of the subtropical waters have been linked with wind-forced anomaly of sea-surface height in the central North Pacific. After 1988, when anchovy flourished and sardine collapsed in the western North Pacific, previous studies by other researchers documented similar changes in air–sea interaction. Our results suggest that contrasting responses in growth and survival processes to wind-forced oscillation of the current structures caused the alternate population dynamics between anchovy and sardine in the western North Pacific.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.248
Teacher spread0.226 · 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
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

Citations45
Published2009
Admission routes1
Has abstractyes

Explore more

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