Guidance for selecting base temperatures when using degree-days in fish growth analyses
Bibliographic record
Abstract
Degree-days (DD) are a useful metric for describing the thermal scope for fish growth and other physiological processes, but there is a lack of advice about how to calculate DD for a given fish species. In particular, appropriate values for the base temperature for growth ( T0) are unknown for most fish species. Previous work showed that inappropriate T0 values can bias growth rate estimates and lead to erroneous conclusions when comparing growth among populations. It is therefore critical to use biologically relevant T0 values when calculating DD. We used two approaches that leverage empirical growth data and bioenergetics models to estimate T0 for 82 fish species. We found that T0 varied among species and across thermal guilds, with coldwater species having relatively low T0 values and warmwater species having higher T0 values. In addition, T0 varied across life stages and depended on whether one selected air or water temperature data to calculate DD. We provide guidance for calculating DD in fish science for many species and 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 | 0.023 | 0.110 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.019 |
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".