Temperature-dependent performance as a driver of warm-water fish species replacement along the river continuum
Bibliographic record
Abstract
Replacement of fish species by their congeners along gradients of stream size is common in warm-water streams, but the causative environmental factors driving this turnover are not fully understood. We used laboratory experiments to test for differences in temperature-dependent egg hatch success and age-0 food ration size for three congeneric cyprinids that differ in abundance along temperature–stream size gradients. Headwater species (Pimephales promelas and Pimephales notatus) had lower thermal optima and narrower thermal breadths for hatch success compared with a river mainstem species (Pimephales vigilax). Temperature sensitivity of ration size was lowest for P. promelas, intermediate for P. notatus, and highest for P. vigilax. Using an empirical stream temperature model, we predicted water temperatures and projected hatch success and ration size for 7974 stream segments in Kansas, USA. Projected hatch success from May to July and ration size from July to September generally matched abundance–stream size patterns, suggesting that increasing temperature along the river continuum may drive replacements among Pimephales species. Our findings combined with evaluations of timing and duration of spawning seasons will improve mechanistic understanding of species replacements along the river continuum.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".