Colony Dynamics of Large Gulls Nesting in Labrador, Canada
Bibliographic record
Abstract
Information on the status, trends and dynamics of large gulls nesting in northern areas is limited. Herring (Larus argentatus) and Great Black-backed (L. marinus) gull breeding colonies were surveyed in coastal Labrador, Canada, from 1998 to 2003 to assess short-term population trends and colony site dynamics. Between 1998 and 2003, 117 islands distributed across three major archipelagos were surveyed on two or more occasions, documenting 1,054 gull clutches. Nesting was noticeably uniform across islands in the archipelagos, with mild aggregations noted in only one region. Incidence (the proportion of islands occupied by Herring and Great Black-backed gulls) declined over the study period, and there were fewer colonization events than abandonment events (also suggesting declines). Abundance declined in one region and overall at 2.9% per year over the 6-year period. Colony abandonment rates did not detectably decline with increasing colony size, and island isolation, indexed by the number of islands within 5 km, was not related to colonization rates. Herring and Great Black-backed gulls in Labrador showed positive incidence and abundance relationships at two spatial scales, indicating that more islands were occupied at larger local population sizes. This study revealed that colony-level metrics can be combined with population trend analysis to allow a richer assessment of the dynamics of colonial species.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".