Temporal trends of essential omega-3 fatty acids in Atlantic and Pacific food webs as measured in eggs of Leach’s storm-petrel Oceanodroma leucorhoa
Bibliographic record
Abstract
Leach’s storm-petrel Oceanodroma leucorhoa populations in the North Atlantic have declined in recent decades. The cause of those declines is not clear but one potential contributing factor could be reductions in the availability of essential nutrients due to changing marine ecology resulting from global warming. One group of particular concern is the omega-3 highly unsaturated fatty acids (n-3 HUFAs), in particular, eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids. Dietary sources of EPA and DHA are required for normal growth and development in higher consumers, including birds. However, previous work has predicted increases in sea surface temperatures may cause declines in their availability. Here, we investigate this possibility by examining temporal trends (1992-2015) in EPA and DHA concentrations in Leach’s storm-petrel eggs from 5 Canadian colonies: 2 on the Atlantic coast (Gull, Kent Islands) and 3 on the Pacific coast (Hippa, Storm, Cleland Islands). Neither EPA nor DHA concentrations in eggs decreased with time on either coast; rather, on the Atlantic coast, both EPA and DHA increased over the period of study. Carbon stable isotopes in the same eggs indicated that storm-petrels foraging in offshore, pelagic waters may have had increased access to n-3 HUFA. The data generated here provide a baseline for future comparisons. Ongoing regular monitoring of fatty acids in seabird eggs would be prudent given the likelihood of further increases in ocean temperatures.
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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 | 0.001 | 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) | 0.001 | 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".