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Record W3082606103 · doi:10.14288/1.0394066

Thermal limits to the cardiorespiratory performance of Arctic char (Salvelinus alpinus) in a rapidly warming north

2020· article· en· W3082606103 on OpenAlexaboutno aff
Matthew James Henry Gilbert

Bibliographic record

VenuecIRcle (University of British Columbia) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsnot available
Fundersnot available
KeywordsSalvelinusArctic charEnvironmental scienceArcticCardiorespiratory fitnessThe arcticCharFisheryClimatologyEcologyAtmospheric sciencesGeographyOceanographyBiologyGeologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

The Canadian Arctic is warming at nearly three times the global rate. Consequently, thermal regimes of native cold-adapted species like the Arctic char (Salvelinus alpinus) are being rapidly reshaped. The Arctic char is the most northerly-distributed freshwater fish on Earth and is essential to Inuit food security and culture. Anadromous Arctic char migrate between freshwater habitats and the Arctic Ocean many times throughout their lives, which can expose them to an already extreme range of temperatures (<0 to >21°C). My thesis examined the ability of Arctic char to cope with thermal variation, focusing specifically on cardiorespiratory performance. I used a novel, mobile laboratory in the central Canadian Arctic to assess how acute temperature changes impact cardiac function and aerobic metabolism in migrating Arctic char. Arctic char maintained aerobic performance over an impressive temperature range (4-16°C), but could not recover from exhaustive exercise above 16°C. Furthermore, maximum heart rate, which should increase with acute warming, began to plateau at 16°C, declined at 19°C and became arrhythmic at 21°C. I conducted similar assessments on four other populations to determine how they differed. One population that undertakes physically and thermally challenging migrations had higher maximum aerobic capacity and heat tolerance than another with less harsh migrations. Heart mass was also higher in populations with less challenging migrations. Next, I acclimated hatchery-reared Arctic char to naturally encountered temperatures (2-18°C) to characterize their thermal plasticity. As before, Arctic char maintained high aerobic performance over a broad temperature range (2-14°C) and warm acclimation improved swimming performance and dramatically increased (+35-45%) cardiac heat tolerance. However, mortality occurred with chronic exposure to 18°C. My research indicates that Arctic char have broad thermal performance and acclimation potential that may help mitigate the negative impacts of rapid environmental warming. Nevertheless, I showed that Arctic char already encounter temperatures in the Canadian Arctic that constrain cardiorespiratory performance and impair recovery from exhaustive exercise, which would likely hinder their obligatory return migration. Furthermore, my results suggest that intraspecific diversity in cardiorespiratory physiology, thermal tolerance, and local migration conditions may be important for Arctic char conservation and shape population-specific responses to warming.

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 score0.613
Threshold uncertainty score0.769

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 studies0.0010.001
Scholarly communication0.0010.000
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 head0.013
GPT teacher head0.162
Teacher spread0.149 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

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