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Record W6925472019 · doi:10.17895/ices.pub.25070954.v1

The impact of variations in oceanographic conditions on distribution, aggregation structure and fishery pattern of redfish (Sebastes mentella Travin) in the pelagial of the Irminger Sea and adjacent waters

2009· other· en· W6925472019 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2009
Typeother
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsBathymetrySebastesFishingPopulationCurrent (fluid)AdvectionGeneralized additive modelSea surface temperature

Abstract

fetched live from OpenAlex

No abstracts are to be cited without prior reference to the author.Analysis of data from acoustic trawl surveys of Sebastes mentella in the Irminger Sea pelagial suggests that extension of redfish distribution to the southwest observed since the mid-1990s was caused by migration of some aggregations from the traditional feeding areas due to an increased advection of Atlantic waters by the Irminger current and higher temperatures of the surface layer (TSL). However, the use solely of the data from surveys conducted every other year limits the possibility to study the impact of variations in oceanographic conditions on distribution, aggregation structure and fishery pattern of redfish in the long term, although such information is essential for the development of sustainable harvesting strategies for fish resources. Data on monthly mean TSL fields at the regular grid nodes for 1982-2008 were used as additional oceanographic indices. To identify and forecast TSL data, the aliquant frequency method was used. Besides, the calculations used air temperature data for 1949-2008 to derive the trend component which was applied to fill in the gaps in the basic TSL data and make a projection. Interannual spatial bathymetric variability in some population parameters of redfish in the Irminger and Labrador Sea was analysed. СPUE for the northeastern and southwestern fishing area was calculated. A statistically significant correlation between CPUE and TSL was revealed, which suggests that CPUE indices directly depend on primary production conditions during spring. CPUE forecasted for 2009-2010 shows a decreasing trend in the Labrador Sea. A strong impact of oceanographic conditions on different fishery patterns for redfish was demonstrated. It was concluded that the proposed division into the northeastern and southwestern fishing areas, as well as the use of two units in the management of the redfish stock in the pelagial of the Irminger Sea and adjacent waters are not efficient and lack scientific substantiation.

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: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.050

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.050
GPT teacher head0.426
Teacher spread0.376 · 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
GenreOther

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

Citations1
Published2009
Admission routes1
Has abstractyes

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