Free meals during breeding: increased resource access does not benefit Arcic-nesting shorebirds
Bibliographic record
Abstract
A bstract Arctic ecosystems are facing intensifying impacts of climate change, notably an increase in air temperature that can boost local productivity. Yet whether such resource surge can benefit declining migratory birds is unclear. Here we experimentally increased prey abundance and measure its effect on the body condition, nesting patterns, and nesting success of the white-rumped sandpiper ( Calidris fuscicollis ). We captured females at the beginning and at the end of their incubation to assess body condition and we installed small temperature probes inside their nests to measure their incubation recess. To estimate nest survival, we regularly monitored experimental and control nests during two consecutive summers (2016–2017). For both experimental years with contrasting nest success (73% vs. 21%), we found no evidence of an effect of our supplementation experiment mimicking an increased abundance of arthropods in the Canadian Arctic. This suggests that in situ resources are not limiting during incubation. Breeding strategies and success in shorebirds seem to be driven by inter-individual traits related to body condition upon the initiation of incubation.
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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 | 0.000 | 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) | 0.004 | 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".