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Record W4248424202 · doi:10.24124/2017/58907

Smolt development in distinct populations of coho salmon (oncorhynchus kiutch): The influence of water temperature and water temperature preference

2017· dissertation· en· W4248424202 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSmoltificationOncorhynchusPopulationBiologyHatchingAnimal scienceFish migrationZoologySeawaterEcologyFisheryFish <Actinopterygii>SalmonidaeDemography

Abstract

fetched live from OpenAlex

Smolting is an important time in the life of anadromous salmon when juveniles undergo changes that prepare them for life in the ocean. Widely distributed salmon populations have evolved based on the selective pressures of their local environments. I examined population differences in the development, duration (smolt window) and loss of seawater tolerance, how temperature influenced development among populations, and temperature preference throughout smolting in coho salmon (Oncorhynchus kisutch). For my first objective, I compared smolt development among three populations in British Columbia, Canada that each had different migration distances to the ocean. In year one, fish appeared to undergo an incomplete smoltification based on the biochemical marker Na+/K+-ATPase (NKA). Additionally, molecular markers (mRNA expression of gill NKA α1a, NKA α1b, as well as growth hormone (GHR), prolactin (PrlR) and glucocorticoid (GR1) receptors) suggest that fish also did fully develop physiological changes associated with smolting. In year two, the smolt window (approximately 300 accumulated thermal units – ATU) did not differ by population as evident by elevated NKA activity. Molecular markers (gill NKA α1a, NKA α1b, GHR, and PrlR) for smolting also did not show a population difference – indicating that distinct populations do not differ in their development, duration, or loss of seawater tolerance. For my second objective, I examined temperature preference in short- and long-distance migrating populations of coho salmon juveniles. Mean temperature preference did not differ between the two populations (15.9 °C and 16.1 °C) and did not change throughout smolting. Based on the observed temperature preferences, smolts do not prefer temperatures that are advantageous for prolonging the smolt window. Additionally, the disparity between temperature preference and what is likely available in the environment at the time of smolting demonstrates that temperature is not a selective pressure for juveniles to behaviourally regulate the development of seawater tolerance.

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)0.000
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 score0.133
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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