Conservation implications of wide-ranging year-round movement and distribution of Aleutian Island breeding <i>Aethia cristatella</i> (Crested Auklets)
Bibliographic record
Abstract
ABSTRACT Despite representing a crucial conservation concern, challenges in measuring seabird movement outside the breeding season remain. Among Alcidae, at least preliminary year-round movement data from representative populations has been obtained from only about half of extant species. During 2011–2015, we quantified year-round movement of Aethia cristatella (Crested Auklets) from breeding sites at Buldir and Gareloi islands, western Aleutian Islands, Alaska. We hypothesized that (1) individuals originating from these colonies use the Unimak Pass area in winter, and (2) periods of migration are associated with more time flying and less time resting on the sea. We captured adults (mean mass = 260 g) that were brooding nestlings and fitted them with 2-g (n = 31) and 1-g (n = 185) leg-attached archival light-based geolocation tags. Upon recapture, we obtained tracks from 3 of 31 individuals traveling with the 2-g tag and 93 of 185 individuals with the 1-g tag. Tagged individuals moved north immediately after chick-fledging, concentrated in the Chukchi and northwestern Bering seas through November, moved southwest to concentrate near the Kurile Islands (95%), or eastern Bering Sea shelf and eastern Aleutian passes (5%), including the vicinity of Unimak Pass, for January–March, and were back near breeding colonies by mid-April. No significant differences were detected in movement phenology between colonies, sexes, or years. Tag wet–dry data did not show a disproportionate time dry on days of continuous flying, suggesting movement fits the “fly and forage” migration model. Long-distance triangular migration between two distinct areas of concentrated use (Chukchi Sea and Kurile Islands), apparently to exploit seasonal prey availability, indicates where this species may be vulnerable to anthropogenic stressors such as oil and gas development and commercial fishing. Yet, the full pattern of variation of A. cristatella movement over time remains uncertain, requiring additional measurements in the field.
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 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) | 0.000 | 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".