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Record W2737345309

Juvenile Pacific Herring (Clupea pallasi) and their interactions with ecosystem components in the Strait of Georgia, British Columbia

2016· article· en· W2737345309 on OpenAlexaboutno aff
Jennifer L. Boldt, Matt Thompson, Chris Rooper, C. M. Neville, R. M. Sweeting, Richard J. Beamish, Jaclyn S. Cleary, Marc Trudel

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsPacific herringJuvenileFisheryGeographyOceanographyHerringEcosystemGeologyEcologyClupeaFish <Actinopterygii>Biology
DOInot available

Abstract

fetched live from OpenAlex

Pacific Herring (Clupea pallasi) are an important prey species for a variety of predators as well as important to First Nations communities and to the commercial fishing industry. The recruitment of Pacific Herring varies substantially on an annual basis and can represent a large proportion of the adult population biomass, adding uncertainty to population estimates. A leading indicator to forecast their recruitment prior to their harvest would be helpful to understand year class strength. British Columbia’s Strait of Georgia juvenile herring and nearshore pelagic ecosystem survey has collected data from ten core transects in September-October since 1992. This data may help improve the understanding of factors that influence herring recruitment and their availability to their predators, such as Chinook and Coho Salmon. An objective of this study was to update the survey time series of the relative biomass and abundance (and associated variance) of age-0 herring. Results indicate that age-0 herring abundance varies interannually with high abundances in recent, even years and there was an increasing trend in fish condition during 1997-2010. Preliminary results indicate age-0 herring biomass may be a leading indicator of recruitment to the adult herring spawning population and to Chinook Salmon survival. We also explore potential ecological and trophodynamic interactions between herring and ecosystem components, zooplankton abundance, and environmental variability. Investigating the dynamics of ecological linkages among pelagic species will improve our understanding of valuable species in BC’s marine ecosystems.

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)0.000
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 score0.391
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.193
Teacher spread0.176 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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