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Record W1999496209 · doi:10.1577/m09-183.1

Changes to the Productivity and Trophic Structure of a Sockeye Salmon Rearing Lake in British Columbia

2010· article· en· W1999496209 on OpenAlexafffundabout
Janice Brahney, Richard Routledge, Darren G. Bos, Marlow G. Pellatt

Bibliographic record

VenueNorth American Journal of Fisheries Management · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsParks CanadaSimon Fraser University
FundersDivision of Ocean SciencesNatural Sciences and Engineering Research Council of CanadaPacific Salmon Foundation
KeywordsOncorhynchusProductivityFisheryEcologyTrophic levelInvertebrateEnvironmental sciencePaleolimnologyFishingAbundance (ecology)PopulationPlanktonSedimentOceanographyGeographyClimate changeFish <Actinopterygii>BiologyGeology

Abstract

fetched live from OpenAlex

Abstract In the 1990s, the returns of sockeye salmon Oncorhynchus nerka to Long Lake in Smith Inlet, British Columbia, declined substantially. In 1997 the commercial fishery was closed, and it will not be reopened until the population shows signs of sustained recovery. We examined paleolimnological and geochemical variables from a sediment core extracted from Long Lake in 2002. The nitrogen isotope concentration (δ15N), which is associated with salmon production, declined to unprecedented levels in the 20th century. Sodium and other alkali elements have also decreased at a generally accelerating pace since the mid-19th century, and there are indications that the headwater glacier has receded apace. Accompanying these trends were notable changes in proxies for lake ecology, including the size and abundance of planktonic invertebrates. The timing and behavior of these unprecedented changes in the sedimentary record point to potential impacts from both commercial fishing and climate change.

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 score0.076
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.004
GPT teacher head0.178
Teacher spread0.174 · 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

Citations21
Published2010
Admission routes3
Has abstractyes

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