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Effects of morphology on swimming performance in wild and laboratory crosses of brook trout ecotypes

2009· article· en· W2119120761 on OpenAlexaff
Sébastien Rouleau, Hélène Glémet, Pierre Magnan

Bibliographic record

VenueFunctional Ecology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersUniversitaire Stichting
KeywordsPelagic zoneBiologyEcotypeLittoral zoneTroutSalvelinusHabitatEcologyZoologyBrown troutSalmonidaeEcomorphologyFisheryFish <Actinopterygii>Salmo

Abstract

fetched live from OpenAlex

Summary 1. Trophic polymorphism is common in fish and is manifested by individual differences in habitat use, food preference, and morphology. The significance of morphological variations among ecotypes is thought to reflect individual specializations in habitat use, however, their functional relationship has rarely been examined. 2. The objectives of this study were to determine if littoral and pelagic ecotypes of brook trout differ in their swimming performances, and if so to investigate the functional significance of morphological variations on their swimming performances. 3. One‐year‐old laboratory‐raised littoral and pelagic individuals (and hybrids), as well as wild individuals were forced to swim in respirometers at 10, 15, and 20 °C, and 16 morphological characters were measured on each fish. 4. The critical swimming test (Ucrit) revealed that pelagic trout reared in the wild are better swimmers than littoral ones. In addition, both laboratory‐raised littoral and pelagic individuals had higher Ucrit performances than their hybrids. High Ucrit. was associated with short pectoral, anal, caudal and dorsal fins (wild fish) as well as with high body width (both wild and laboratory‐raised) and body height (laboratory‐raised). Wild littoral individuals had a steeper power curve (i.e. higher energy expenditure due to swimming) than pelagic ones; however, this was compensated by a lower standard metabolic rate for the former, resulting in comparable minimum transport cost for ecotypes. The swimming performances of laboratory‐raised ecotypes were more homogenous than those of wild fish, suggesting an important environmental effect on the performances themselves. Water temperature seemly had little influence on the difference between swimming performances of ecotypes. 5. The results of the present study only partially support our hypothesis that critical swimming speed of pelagic individuals will be higher than that of littoral individuals due to their shorter pectoral and dorsal fins and streamlined body shape; high Ucrit was associated with short fins but not with streamlined body shape. Because brook trout is not considered a fast swimmer, it is possible that a higher muscular mass provides higher benefits related to thrust for swimming in the pelagic zone than costs due to drag, usually associated with a high aspect ratio. 6. Our results also support the cost reduction strategy hypothesis (that higher energy expenditure due to swimming is compensated by a lower standard metabolic rate). This implies that the lower performance, due to the higher energy expenditure, of a given ecotype can be compensated by a low standard metabolic rate, a phenomenon that could apply to all species exhibiting morphological plasticity. 7. While previous studies developed conceptual models and predictions relating morphological differences to swimming performance in fishes, this study is one of the first to test such a model. Collectively, our results show that morphological differentiation, associated with trophic polymorphism, have important functional consequences on the swimming energetics of ecotypes.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.003
GPT teacher head0.181
Teacher spread0.178 · 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

Citations74
Published2009
Admission routes1
Has abstractyes

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