UV radiation changes algal stoichiometry but does not have cascading effects on a marine food chain
Bibliographic record
Abstract
Ultraviolet (UV)-B levels are still increasing at high and polar latitudes where ozone depletion continues. Changes in the quality of algae at the base of the food web can have a cascading effect on higher trophic levels. We examined whether UV radiation altered the synthesis of fatty acids (FA) and mycosporine-like amino acids (MAAs), as well as the C:N elemental stoichiometry of marine primary producers and whether these modifications transferred through a simple food chain (copepod, fish larvae). Two diatoms (Thalassiosira weissflogii and Thalassiosira pseudonana) and one flagellate (Dunaliella tertiolecta) were exposed to three different UV exposure treatments. Copepod nauplii were then fed with Thalassiosira pseudonana for 3 days. Fish larvae were, in turn, fed with these nauplii. C:N ratios and total lipid decreased with increasing UV exposure in the diatoms, but did not vary in copepods or fish. PAR-only-treated algae had more saturated FAs, myristic (14:0) and palmitic acid (16:0), while UV-treated algae had more long-chain polyunsaturated FAs. These changes did not transfer to copepods or fish larvae. No MAAs were found in either algae, copepods or fish. Our results suggest that copepods are able to compensate for lower food quality by increasing food intake.
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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 | 0.000 |
| 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".