Dietary niche dynamics of breeding seabirds in coastal Newfoundland under shifting prey availability: A stable isotope-based approach
Bibliographic record
Abstract
On the Newfoundland coast, an annual pulse of the capelin (Mallotus villosus), provides an excellent opportunity to investigate the influence of varying prey availability on seabird diet. We investigated seabird species- and assemblage-level dietary responses to shifting capelin availability of three breeding auk species (Atlantic puffin Fratercula arctica, razorbill Alca torda, common murre Uria aalge), and Leach’s storm-petrel (Oceanodroma leucorhoa) using stable isotope ratios (δ15N, δ13C). At the species level, trophic position increased, and dietary niche breadth narrowed for auks. We also conducted a controlled feeding experiment on captive adult puffins and murres to calculate diet-tissue discrimination factors (DTDFs), specifically two blood components (i.e., plasma, cellular component). After applying these DTDFs to wild birds, Bayesian mixing model results supported our other study. Using published DTDFs from other studies resulted in different prey proportions, reiterating the importance of species- and tissue-specific diet-tissue discrimination factors when reconstructing dietary proportions of wild seabirds.
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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 | 0.000 |
| 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".