The global ecological niche of lumpfish (Cyclopterus lumpus) and predicted range shifts under climate change
Bibliographic record
Abstract
Abstract Lumpfish are a commercially significant marine fish that are harvested in roe fisheries and used as cleaner fish in salmon farming, however, little is known of the environmental factors shaping the ecological niche of the species at global scale. As captive reared lumpfish are sensitive to warm water, the geographic distribution of wild populations may change as sea temperatures rise under expected climate change. After investigating the ecological niche of the lumpfish using Species Distribution Models, we found that nitrate concentration, ice cover, diffuse attenuation, and temperature predicted the probability of lumpfish occurrence. Through modelling distribution under expected climate change forecasts within a realistic scenario, we found reduced probability of lumpfish occurrence in areas which currently support roe harvest and cleaner fish industry. Future conservation of the species and fisheries management should account for changes in lumpfish distribution as the range shifts northward.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 teacher head, 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".