Reproduction, growth, and defense trade‐offs vary with gender and reproductive allocation in <i>Ilex glabra</i> (Aquifoliaceae)
Bibliographic record
Abstract
PREMISE OF THE STUDY: Male-biased herbivory in dioecious species is expected as a consequence of selection for increased resistance (reduced attack) in the sex with higher reproductive costs-females. Empirical support of this prediction is taxonomically restricted and fraught with exceptions. Phenological changes in resource allocation to reproduction may change the trade-offs among functions in a sex-specific fashion, and may eliminate male-biased herbivory. METHODS: We investigated variation in trade-offs among reproduction, growth, and defense in relation to the reproductive period, and whether females were more resistant and less tolerant (maintaining fitness upon damage) than males in a natural population of Ilex glabra in Nova Scotia. We subjected plants to partial or full defoliation treatments during and after flowering in 2006 and before flowering in 2007, and measured their growth and reproductive output in 2007. We assessed resistance to herbivory using the proportion of leaf damage found on leaves obtained from the defoliation treatment. KEY RESULTS: Contrary to theoretical predictions, we did not find male-biased herbivory. Males were more tolerant than females to being partially defoliated before or after flowering. Regardless of sex, plants either fully or overcompensated after partial defoliation, and under-compensated in response to full defoliation, except when defoliated before flowering. Rather than a trade-off, we found a weak, positive correlation between resistance and tolerance. CONCLUSION: The timing of damage in relation to reproductive phenology influences both resistance and tolerance to herbivory, which must be considered when assessing predictions about gender dimorphism of biotic interactions.
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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) | 0.000 | 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".