Phylogeny influences the relationships linking key ecological thermal metrics for North American freshwater fish species
Bibliographic record
Abstract
Habitat temperature is a major determinant of performance and activity in fish. We summarize published studies of 173 North American freshwater fish species to examine the interrelationships among thermal response metrics associated with three types of individual performance: growth (optimal growth temperature (OGT), final temperature preferendum (FTP)), survival (upper incipient lethal temperature (UILT), critical thermal maximum (CTMax)), and reproduction (optimum spawning temperature (OS), optimum egg development temperature (OE)). We found that all metrics were highly correlated, especially those associated with a specific performance type. Differences in thermal metrics were also significantly linked to traditional thermal guild classifications, spawning season, and strategy. We found an overall decline in correlation strength when we used phylogenetically independent contrasts to control for the effect of phylogeny. This decline was much greater for growth and survival metrics than for reproduction. This suggests that the role of evolutionary history in determining thermal sensitivity at the species level varies greatly across the range of performance types that can be used to characterize the behaviour of an individual.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".