Variation in ice conditions has strong effects on the breeding of marine birds at Prince Leopold Island, Nunavut
Bibliographic record
Abstract
The maximum extent of sea ice in the northern hemisphere has been contracting for several decades, with implications for all ice‐associated biota. To determine how variation in ice conditions affects reproduction in marine birds, we studied the effects of ice conditions on breeding of four species of seabirds over four years at Prince Leopold Island, Nunavut, a colony close to the limits of ice conditions where breeding is feasible. In 2000 and 2003, open water was present close to the colony in June, when the birds began to lay eggs. In 2001 and 2002, the ice edge in June was >200 km to the east of the colony, forcing birds to commute long distances to open water to feed. Egg‐laying by thick‐billed murres, black‐legged kittiwakes and glaucous gulls was delayed and eggs and clutches were smaller in 2001 and 2002. However, northern fulmars laid at the same time in all years, although their incubation shifts were longer in 2001 and 2002 than in 2003. Open water was present close to the colony by the time of hatching in all years. Despite this, nestling survival of northern fulmars, body condition and nestling growth of thick‐billed murres and body condition and nestling survival of black‐legged kittiwakes were lower in 2001 and 2002 than in –2000 and 2003. All these indicators suggest that feeding conditions in the years of late ice break‐up continued to be worse than usual even after open water was available at the colony. Our study suggests that current trends towards earlier ice break‐up in the Arctic may be beneficial for marine birds at Prince Leopold Island, at least in the short‐term.
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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 | 0.001 | 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".