Physiological and behavioural performance metrics of Athabasca rainbow trout (Oncorhynchus mykiss) across varying thermal regimes in the Athabasca river watershed
Bibliographic record
Abstract
Stream temperature is a key driver of physiological function in ectothermic fish, and fish have clear upper and lower limits of thermal habitat, bounding a range of optimal conditions. Predicted stream temperature increases from climate change are a major threat to Athabasca Rainbow Trout (Oncorhynchus mykiss; ARBT) which are listed as Endangered under Schedule 1 of Canada’s Species at Risk Act. Knowledge gaps concerning temperature preferences, thermal limits, and habitat suitability need to be addressed to effectively manage and recover this endemic ecotype. In this study, ARBT were collected from July – August in 2021 and 2022 from three streams in the McLeod River watershed, Alberta, Canada, representing a gradient of thermal regimes ranging from cold to warm. Fish were tested for four physiological metrics: agitation temperature (Tag), critical thermal maxima (CTmax), avoidance temperature (Tavoid) and preferred temperature (Tpref) using a portable streamside laboratory. Both Tag and Tavoid metrics are indicators of behavioural avoidance responses, whereas Tpref represents the optimal temperature zone for metabolism and growth. Finally, CTmax can be interpreted as a population’s upper thermal limit where long term survival is reduced. These metrics can influence habitat selection and distributional limits, and will likely be increasingly important indices of thermal performance and stress under climate change. Determining whether ARBT populations are able to cope with varying stream temperatures by plastically shifting their thermal tolerance is a key consideration for understanding their adaptive potential. Results from stream-side experiments provide strong evidence that the majority of thermal responses (CTmax, Tavoid and Tpref) are plastic allowing for a greater level of physiological resilience. However, given that increasing stream temperatures may lead to subpar thermal habitat, ARBT will likely be forced to adapt or find new habitat in certain streams. This work is intended to support the prioritization of recovery locations within the Athabasca Rainbow Trout’s distribution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".