Temporal variation in total leaf phenolics concentration of<i>Quercus robur</i>in forested and harvested stands in northwestern Spain
Bibliographic record
Abstract
Phenolic compounds show intraspecific variation and this may be important in resistance of plants to herbivory. Changes in total leaf phenolics concentration in young Quercus robur L. trees growing under pine canopies and those growing in recently tree harvested areas were studied for 3 years in northwestern Spain. The oaks from the felled areas had a greater leaf phenolics concentration than those under pine canopies and showed less variation between individuals from the population. The average leaf phenolics concentrations also varied significantly between study years. The variations during leaf development and growth are in accordance with the majority of hypotheses that explain investment in secondary metabolism compounds. Leaf phenolics concentrations decreased rapidly during leaf maturity and senescence, but this decrease depended on the time of leaf shedding, the concentration being substantially lower in the year when leaves had been attached longer to the tree. Variation of leaf phenolics concentration was greater in senescent leaves than in green leaves. Such high concentration variability represents a source of spatial and temporal heterogeneity not only for potential herbivores but also for the soil nitrogen cycle in terrestrial ecosystems.Key words: total phenolics, northwestern Spain, Quercus robur, Pinus pinaster, forest harvest, leaf senescence.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".