Combined effects of elevated ozone, temperature, and nitrogen on stem phenolic concentrations of Scots pine (<i>Pinus sylvestris</i>) seedlings
Bibliographic record
Abstract
Phenolic metabolites in forest trees play a key role in the defence against biotic and abiotic stressors, yet we lack information about the effects of combined abiotic factors on phenolic compounds in conifers. We studied the effects of combined abiotic factors (ozone × temperature, ozone × nitrogen, temperature × nitrogen, and ozone × temperature × nitrogen) on phenolic concentrations in stems of Scots pine (Pinus sylvestris L.) seedlings in a 3-year-long field experiment in central Finland. In current-year stems, elevated ozone increased the concentrations of total phenolics, soluble proanthocyanidins, and total proanthocyanidins, while warming reduced the concentrations of piceatannol glucoside, pinosylvin, isorhamnetin + kaempferol-3-rhamnoside, and monocoumaroyl isoquercitrin 1. Complex interaction effects on current-year stems showed that nitrogen addition increased the concentrations of some flavonoids in ambient ozone and temperature levels. In the stems from the previous years, ozone decreased the concentrations of total phenolics, total proanthocyanidins, and several flavonoids in ambient temperature, while warming increased their concentrations in combination with elevated ozone. Our results suggest that phenolic defence responses in Scots pine seedlings are affected by all three factors, but that the level of phenolics in the stems from previous years may increase under the combined exposure to elevated temperature and ozone — an expected climate trend in the Northern Hemisphere.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".