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Record W1830805930 · doi:10.1093/icesjms/fsl018

The dynamics of a recovering fish stock: Georges Bank herring

2006· article· en· W1830805930 on OpenAlexaff
Gary D. Melvin, Robert L. Stephenson

Bibliographic record

VenueICES Journal of Marine Science · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsHerringClupeaFisheryStock (firearms)Atlantic herringBiologyPopulationFish stockFishingFish <Actinopterygii>GeographyDemography

Abstract

fetched live from OpenAlex

Abstract Melvin, G. D., and Stephenson, R. L. 2007. The dynamics of a recovering fish stock: Georges Bank herring – ICES Journal of Marine Science, 64, 69–82. The decline and subsequent recovery of Georges Bank Atlantic herring (Clupea harengus) provides a rare opportunity to examine the dynamics of a recovering fish population. Moreover, the near absence of a commercial fishery on Georges Bank between 1978 and 1995 removes the confounding effects of exploitation during the recovery period. Herring abundance on Georges Bank increased and the distribution of adult spawning fish evolved from a few isolated locations to most of the northern fringe during the period 1983–1995. The distribution of recently hatched larvae also expanded in a manner consistent with progressive occupation of historical spawning grounds. Changes in the size composition and age structure of herring during the spawning season broadened from the dominance of a single age class to multiple year classes as the stock recovered and expanded. Growth, as reflected by length-at-age, decreased significantly and was correlated with the number of fish estimated to be in the stock. This and the observed difference in mean length and length at first spawning during the recovery provide strong evidence of density-dependent growth. In particular, there is a highly correlated (p&lt;0.01) relationship between the number of 4+ herring in the stock at the start of the year and the mean length of herring aged 3 recruiting to the spawning stock in autumn of the same year. A mechanism based on an extended period of prespawning interaction is proposed to explain the density-dependence.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.009
GPT teacher head0.240
Teacher spread0.232 · 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.

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

Citations50
Published2006
Admission routes1
Has abstractyes

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