INTENSE DISTURBANCE ENHANCES PLANT SUSCEPTIBILITY TO HERBIVORY: NATURAL AND EXPERIMENTAL EVIDENCE
Bibliographic record
Abstract
Following Hurricane Lili, which passed directly over the site of our ongoing study in Great Exuma, Bahamas, herbivory increased on devastated islands exposed to the storm surge, but not on protected islands. Observations suggested that foliage sprouting on severely damaged shrubs was more susceptible to herbivores than was new foliage on undamaged shrubs. To test this hypothesis, we conducted a controlled field experiment: hurricane damage was simulated by pruning shrubs on replicated islands. Seven months after the manipulation, herbivory was 68% higher on pruned shrubs than on controls. Leaf size and percentage of nitrogen were higher, and leaf toughness and trichome density were lower on pruned shrubs than on controls. The experimental results indicate that enhanced herbivory on exposed islands following Hurricane Lili was caused, at least in part, by increased susceptibility of the sprouted foliage to herbivorous arthropods. Because sprouting occurs on many woody plants following natural or anthropogenic disturbances, the findings in this study may have broad implications. Corresponding Editor: S. C. Pennings.
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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 | 0.000 |
| 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 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".