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Population-level responses to sediment during early life inbrook trout

2004· article· en· W1976393623 on OpenAlexaff
R. Allen Curry, W. Scott MacNeill

Bibliographic record

VenueJournal of the North American Benthological Society · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsFontinalisTroutSalvelinusBiological dispersalBiologySedimentPopulationEcologyIncubationEcosystemPopulation densityFisheryFish <Actinopterygii>Demography

Abstract

fetched live from OpenAlex

The spawning sites, incubation success, and density of young-of-the-year (YOY) brook trout (Salvelinus fontinalis) were examined in stream populations experiencing varying levels of sediment stress. Our objective was to determine effects on embryos and YOY and examine cumulative effects on the populations. Early development was unaffected (88% survival). Mortality occurred at late, encapsulated embryo stages likely as a function of oxygen deprivation within redds. Survival to emergence from the substrate was significantly reduced (∼50%) in redds in which fine sediments accumulated. Groundwater reduced sediment accumulation in redds and enhanced survival. Sediment may have affected dispersal of YOY trout. All populations appeared successful in term of total density (average = 72/100 m2). Our findings emphasize the importance of targeting multiple life-history stages and understanding local adaptations when searching for true population-level effects in any stressed ecosystem.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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

Citations54
Published2004
Admission routes1
Has abstractyes

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