Marbled Murrelets at Desolation Sound British Columbia Canada (1998-2001)
Bibliographic record
Abstract
The Marbled Murrelet Brachyramphus marmoratus is a threatened seabird that relies on old-growth forest for nesting. We compare marine space use between breeding and non-breeding birds, and how marine home range locations and overlap vary with respect to nesting location and breeding status. We collected very high frequency (VHF) radio-telemetry data in southern British Columbia from Clayoquot Sound (190 birds; 2000-2002) and Desolation Sound (206 birds; 1998-2001). The sites differ strongly in their oceanic exposure and surrounding terrestrial features. Kernel utilization distribution-based estimates showed that breeders and non-breeders had similar overall distributions, but breeders were more spatially aggregated. Pooled home ranges of non-breeders were larger than those of breeders, but the distributions of individual home range sizes did not differ significantly by breeding status. However, compared with non-breeders, breeding murrelets were more likely to share their home range with other breeders. Home range sizes were larger and commuting distances were longer at Desolation Sound than at Clayoquot Sound; the average home range size for individuals was 241 ± 6.7 km2 at Clayoquot Sound and 330 ± 8.8 km2 at Desolation Sound. Individuals that nested closer together were more likely to share their marine home range in Desolation Sound, but not at Clayoquot Sound. Commuting distance to a nest site was not related to home range size at either site. Our results support the hypothesis that, at a local scale, breeding murrelets congregate at specific foraging areas and are not strongly constrained by commuting distance to nesting locations. Our results also support the concept that home range size may be indicative of the overall habitat quality of an area. We quantify connectivity between terrestrial and marine habitats and highlight important historical foraging locations.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".