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Record W4300797006 · doi:10.47886/9781934874110.ch13

Pacific Salmon: Ecology and Management of Western Alaska’s Populations

2009· book-chapter· en· W4300797006 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Fisheries Society eBooks · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)BiologyVital ratesPopulationEcologyPopulation growthArcticPredationAbundance (ecology)FisheryDemography

Abstract

fetched live from OpenAlex

<em>Abstract.</em>—Studies have documented density-dependent growth of salmon in the ocean during early and late marine stages in response to competition between species. However, key questions remain as to whether competition and reduced growth at sea translate to lower survival of salmon, and whether changes in ocean regimes can alter this relationship. Few studies have tested these questions, in part, because the capacity of the ocean to support salmon is dynamic and smaller adult size has been associated with high abundance, which infers high overall survival. In support of salmon management activities in the Arctic-Yukon-Kuskokwim (AYK) region, we review evidence from recent studies suggesting that competition at sea can lead to reduced salmon growth and survival and to potentially lower reproductive potential of survivors. Climate change may, however, also affect prey availability and therefore influence the magnitude of competition. Salmon growth (and survival) responses to competition and climate shifts can vary with season and life stage of salmon. We conclude that growth of salmon is key to their survival and that competition at sea is an important, yet often elusive mechanism affecting salmon population dynamics.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.016
GPT teacher head0.218
Teacher spread0.202 · 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 designNot applicable
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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