Physiological and behavioural responses of Arctic-breeding shorebirds to weather and habitat conditions
Bibliographic record
Abstract
Arctic-breeding shorebirds balance proximate and ultimate trade-offs in an energetically demanding environment. While these species are selective of nest sites, previous research shows that the characteristics of preferred shorebird nests do not predict increased breeding success. Thus, I aimed to identify detectable mechanisms driving nest preferences in Arctic-breeding shorebirds. Using an archival dataset, I first examined long-term nest preferences in relation to wind conditions at the East Bay Migratory Bird Sanctuary, on Southampton Island, Nunavut, Canada. I then studied energetic responses of two shorebird species to weather conditions across various nest types in a field study using non-invasive heart rate recording technology. I found that shorebird species which nest in well-concealed habitats preferred to have denser vegetation blocking the prevailing winds, while species in open habitats did not. This preference exhibited by concealed nesters did not match wind cues at the time of nest initiation, and protection from windchill did not influence incubation behaviour. My results indicate that windchill exposure plays a role in nest preferences without detectably influencing behavioural responses. These results were then reinforced by new data suggesting that energetic demands are higher in colder windchill temperatures, and in some species, that greater nest concealment reduced energetic costs during incubation. Overall, these results highlight the variability in nest preferences among shorebird species, and suggest that the mechanisms underlying these preferences may be driven by multiple breeding parameters, including, but not limited to, thermoregulatory demands.
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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) | 0.001 | 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 | 0.001 |
| 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".