Unpalatable, yet unprotected: trout reduce survival and development rate of rare toad tadpoles despite chemical defense
Bibliographic record
Abstract
Unpalatable prey species often have toxins that protect from direct consumption. However, negative effects of prey manipulation by predators are rarely considered and may understate impacts to unpalatable species. When both prey and predator are species of concern, stronger understanding of the predator–prey relationship is warranted. We explored direct and indirect effects of greenback cutthroat trout (Oncorhynchus clarkii stomias) on boreal toad (Anaxyrus boreas boreas) tadpole survival, growth, and development, as well as postmetamorphosis survival and growth. We found exposure to O. clarkii stomias delayed metamorphosis by 1–2.5 days and reduced tadpole survival by up to 25%, even though only a single tadpole was consumed. Tadpoles from captive-bred eggs had lower survival, growth, and greater loss in body condition after metamorphosis compared with tadpoles from wild eggs. We found that O. clarkii stomias do not innately avoid A. boreas boreas but instead strike tadpoles to determine prey palatability and repeated gustation likely reduced survival. Our results shed light on unresolved issues with A. boreas boreas captive breeding and demonstrate the nonconsumptive negative impacts of predators.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.003 | 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".