Non-breeding ecology of thick-billed murres from the only colony in the western Canadian Arctic
Bibliographic record
Abstract
Cape Parry, Northwest Territories, Canada, is home to one of the smallest, most remote, and least studied populations of thick-billed murres Uria lomvia globally. Here, we report on the spatial distribution using biologging, and trophic levels and nutritional stress using stable isotope and corticosterone analysis of feather samples, of 41 murres (15 females and 26 males) from this population during the 2021-2022 non-breeding period. In the fall, murres migrated westward, and core-use areas were mainly on the continental shelves of the Beaufort, Chukchi, and northern Bering Seas. Their migratory speed corresponded with sex: most males, likely traveling with chicks, were slow migrants (73%), while effectively all females (93%) were fast migrants. Sex differences in core-use areas and timing only occurred in the fall and suggest that the flightless period (flight feather molt) occurs in the Chukchi Sea for females and the Amundsen Gulf and eastern Beaufort Sea for males. Both sexes wintered in the northeastern Bering Sea. Spring migration was synchronous, beginning in early May coinciding with ice breakup in the Chukchi Sea. Fall was a more energetically constrained period than winter for murres, and those with higher trophic level diets (δ 15 N) originating from a more near-shore food web (δ 13 C) incurred lower nutritional stress. Throughout the non-breeding period, murres tended to forage at higher trophic levels, likely consuming more fish than invertebrates. Our results highlight the importance of identifying and mitigating threats to Cape Parry thick-billed murres as they migrate, stage/molt, and overwinter in the Beaufort, Chukchi and eastern Bering Seas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".