The year-round migration pattern of thick-billed murres breeding in W and NW Greenland tracked with satellite transmitters and geolocators:1st World Seabird Conference, Victoria, September 7-11, 2010
Bibliographic record
Abstract
Knowledge of the year-round distribution pattern is needed to understand ecology and population development in colonies of thick-billed murres under pressure from hunting and oil pollution in the non-breeding period. We tracked thick-billed murres from three colonies in eastern Baffin Bay, Greenland (Ritenbenk 69º 48’ N, Kippaku 73º 43’ N and Saunders Ø 76º 34’ N), with satellite transmitters, geolocators and time-depth recorders. Implanted satellite transmitters (n=37) using system ARGOS provided relatively detailed tracks for up to 166 days while geo-locators (n=38) generally provided year-round tracks, but with much less accuracy. After leaving the colony in late July –mid August, the murres perform a swimming migration, during which the adults moult their flight feathers and the male parent accompanies the chick. The obtained ARGOS tracks (n=27) from the Ritenbenk colony showed sexually segregated migration routes and we found that swimming migration is characterised by a maximum speed between ARGOS locations of 3 km/h. Combined results show that the murres on autumn migration from northern Baffin Bay tended to stage in several areas in northern Baffin Bay including the mouth of Lancaster Sound before heading south on an S-shaped track through the eastern offshore part of Baffin Bay and south-west into the Labrador Current in the western part of the Davis Strait and the Labrador Sea before wintering in the areas around Newfoundland. The tendency to deviate from the shortest route to the winter area towards the eastern offshore part of the southern Baffin Bay on the autumn migration, match with recent survey data on both murre and polar cod densities. It was also found that the murres were diving considerably deeper in the wintering areas than in the breeding areas.
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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".