Intraspecific Differences in Thermal Biology among Inland Lake Trout Populations
Bibliographic record
Abstract
Abstract The ability of coldwater species and populations to respond to the predicted temperature increases associated with climate change will largely depend on existing adaptive potential within and among populations. Southern inland populations of Lake Trout Salvelinus namaycush are broadly characterized by two ecotypes (small and large bodied) which differ in their trophic ecology, life history traits, and body size. Using common‐garden experiments, we investigated population‐specific differences in thermal performance (growth, temperature tolerance, and temperature preference) and whether the differences were consistent between ecotypes. We further explored the role of acclimation temperature on growth and thermal performance in two representative ecotypic populations. The evidence from this study indicated that the differences were population specific rather than ecotype specific. A strong inverse relationship between early growth rate and temperature preference suggests that the differences in early growth among Lake Trout populations are driven by adaptive variation in temperature preference. Acclimation temperature had a greater effect than source population on growth and temperature tolerance, although both significantly influenced temperature preferences. Small‐bodied ecotypes were less tolerant of elevated temperatures and exhibited less within‐population variation, potentially indicating their greater vulnerability to changing ecological conditions under climate change scenarios.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".