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Density‐dependent growth of young‐of‐the‐year Atlantic salmon<i>Salmo salar</i>in Catamaran Brook, New Brunswick

2005· article· en· W2152738911 on OpenAlexafffundabout
I. Imre, James W. A. Grant, Richard A. Cunjak

Bibliographic record

VenueJournal of Animal Ecology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of New BrunswickConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSalmoFish measurementDensity dependencePopulation densityGrowth rateBiologyPopulationAnimal scienceEcologyFisheryDemographyMathematicsFish <Actinopterygii>Geometry

Abstract

fetched live from OpenAlex

Summary While density‐dependent mortality and emigration have been widely reported in stream salmonid populations, density‐dependent growth is less frequently detected. A recent study suggests that density‐dependent growth in stream salmonids occurs at low densities, whereas density‐dependent mortality and emigration occur at high densities. To test the hypothesis that density‐dependent growth occurs primarily at low rather than at high densities, we examined the relationship between average fork length and population density of young‐of‐the‐year (YOY) Atlantic salmon at the end of the growing season using a 10‐year data set collected on Catamaran Brook, New Brunswick. We tested whether (1) average body size decreases with increasing density; (2) the effect of density on average body size is greatest at low densities; (3) growth rate will decrease most rapidly at low effective densities [Σ(fork length) 2 ]; (4) density‐dependent growth is weaker over space than over time; and (5) the strength of density‐dependent growth increases with the size of the habitat unit (i.e. spatial scale) when compared within years, but not between years. There was a strong negative relationship between the average body size and population density of YOY Atlantic salmon in the autumn, which was best described by a negative power curve. Similarly, a negative power curve provided the best fit to the relationship between average body size and effective density. Most of the variation in average body size was explained by YOY density, with year, location and the density of 1+ and 2+ salmon accounting for a minor proportion of the variation. The strength of density‐dependent growth did not differ significantly between comparisons over space vs. time. Consistent with the last prediction, the strength of density‐dependent growth increased with increasing spatial scale in the within‐year, but not in the between‐year comparisons. The effect of density on growth was strongest at low population densities, too low to expect interference competition. Stream salmonid populations may be regulated by two mechanisms: density‐dependent growth via exploitative competition at low densities, perhaps mediated by predator‐induced reductions in drift rate, and density‐dependent mortality and emigration via interference competition at high densities.

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)0.001
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 score0.335
Threshold uncertainty score0.674

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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

Citations179
Published2005
Admission routes3
Has abstractyes

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