The vulnerability of whitefish (<i>Coregonus lavaretus</i>) to the invasive European catfish (<i>Silurus glanis</i>) in a large peri-Alpine lake
Bibliographic record
Abstract
The whitefish ( Coregonus lavaretus) is a core exploited species in numerous fisheries and the invasion of the European catfish ( Silurus glanis) in peri-Alpine lakes may represent an emergent threat to this salmonid. We aimed to assess the whitefish vulnerability to catfish in a French peri-Alpine lake (Lake Bourget) by combining diet analyses (metabarcoding), trophic link inferences from an allometric niche model (aNM), and the development of a predation risk metric derived from species depth matching and catfish energy demand. Whitefish DNA was found in 7% of catfish intestines, indicating a low but effective consumption. The aNM suggested that catfish (considering the current population size structure) may predate all whitefish life stages; though young-of-the-year (0+, 5–20 cm) may be the most exposed to predation. 0+ had higher depth matching with catfish than other life stages, especially in summer when the catfish exhibit their highest energy demand, leading to an overall higher predation risk. Our results highlighted the effective consumption of C. lavaretus by S. glanis and its time and age-varying vulnerability, suggesting that S. glanis may represent a new growing threat to this salmonid in a global change context.
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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 | 0.001 |
| 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".