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Record W2008433461 · doi:10.3354/meps321255

Energetic cost of reduced foraging under predation threat in newly hatched ocean pout

2006· article· en· W2008433461 on OpenAlexafffund
Shaun S. Killen, JA Brown

Bibliographic record

VenueMarine Ecology Progress Series · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsMemorial University of Newfoundland
FundersDivision of Ocean SciencesNatural Sciences and Engineering Research Council of CanadaMemorial University of NewfoundlandAlternatives Research and Development Foundation
KeywordsPredationForagingBiologyGadusFisheryEcologyPredatorZoologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Previous research has shown that young fishes will decrease foraging activity while in the presence of a predatory threat. In most of these studies, however, individuals have been exposed to acute pulses of predatory threat of short duration; thus, little is known about the long-term impacts of predatory threat on development in newly hatched fish. In the present study, newly hatched ocean pout Macrozoarces americanus were visually exposed to predatory juvenile Atlantic cod Gadus morhua for 6 h per day during the feeding period. At 3C, 8 wk old pout not exposed to predators were significantly larger (standard length and wet mass), and had a higher hepatosomatic index than fish exposed to predators. Pout exposed to predators also had lower levels of whole-body phospholipids and triacylglycerol, as well as decreased levels of essential fatty acids (arachidonic acid and eicosapentaenoic acid). Interestingly, there were no differences in size, hepatosomatic index or lipid content between the 2 treatments when the experiment was performed at 8C, despite a decrease in foraging activity of the pout exposed to predators at this temperature. These results suggest that frequent predatory threat can affect the development of newly hatched fishes, and that temperature can affect the ability to observe growth trade-offs when performing threat-sensitive foraging experiments with ectotherms.

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 score0.007
Threshold uncertainty score0.262

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 communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.220
Teacher spread0.210 · 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

Citations32
Published2006
Admission routes2
Has abstractyes

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