Differential Investment in Eggs by Arctic-breeding Glaucous Gulls (<i>Larus hyperboreus</i>) Exposed to Persistent Organic Pollutants
Bibliographic record
Abstract
Abstract.— Although egg size is a widely studied life-history trait in evolutionary ecology, it is largely unknown whether exposure to persistent organic pollutants (POPs) can influence the allocation of resources to avian eggs and, if so, how. It is well established that female birds exposed to POPs transfer these compounds to their eggs. However, little is documented with regard to contaminant-related changes in egg quality, such as egg mass, albumen mass, yolk mass, lipid, and water content. We report positive correlations between the concentrations of several major classes of POPs (organochlorines, brominated flame-retardants, and metabolically derived products) in plasma of Arctic-breeding Glaucous Gulls (Larus hyperboreus) and in the yolk of the last-laid egg of their clutches. The contributions of the different POP classes to the summed POP concentration were also positively correlated between female plasma and egg yolk. In addition, Glaucous Gulls with a relatively high concentration of sum (Σ) chlordanes and total-(α)-hexabromocyclododecane in their plasma laid smaller eggs. Eggs into which females had deposited a relatively low concentration of ΣPCB and a relatively high concentration of ΣDDT were also smaller. The POP patterns of yolk and maternal plasma were associated with changes in water and lipid content of the yolk. These results suggest that egg quality—and, thus, offspring performance—may be affected not only by the direct transfer of contaminants from the female to the egg, but also through associated changes in egg size and composition.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".