Water temperature and timing of capelin spawning determine seabird diets
Bibliographic record
Abstract
Abstract Davoren, G. K., Penton, P., Burke, C., and Montevecchi, W. A. 2012. Water temperature and timing of capelin spawning determine seabird diets. – ICES Journal of Marine Science, 69: . The capelin (Mallotus villosus) is the focal forage fish in many northern marine ecosystems. Its capacity to respond to changes in ocean climate is explored and the usefulness of seabird diets as indicators evaluated by integrating the timing of capelin spawning and temperature (0–150 m) during gonadal development (February–June) with colony-based measures of prey deliveries to chicks of common murres (Uria aalge) and northern gannets (Morus bassanus) on the east coast of Newfoundland during the years 1991–1993 and 2003–2010. Great variation was observed in the timing of spawning, with similar annual trends in different regions of coastal Newfoundland. Spawning was later in years of colder-than-average temperature, although the importance of other variables (e.g. fish size) could not be ruled out. The relationship between temperature during gonadal development and timing of spawning was weak at demersal spawning sites, suggesting that timing may be regulated by other factors (e.g. temperature at spawning sites). When spawning was early in warmer years relative to chick-rearing, common murres delivered a lower percentage of energy-rich gravid capelin to their chicks and northern gannets delivered a lower percentage of capelin. Integrating multiple data sources will be important to monitor marine ecosystem health as ocean climate changes.
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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 | 0.000 | 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".