The effect of herbivory on pollinators: a revisited meta-analysis
Bibliographic record
Abstract
BACKGROUND AND AIMS: Plant-herbivore and plant-pollinator interactions are closely interconnected through their combined influence on plant reproduction, involving both direct and indirect (plant-mediated) effects between these consumer groups. Although these dynamics have been investigated for nearly three decades and were previously synthesized in a meta-analysis, rapid growth in the field in recent years warrants an updated quantitative assessment. METHODS: We extend the most recent synthesis by incorporating primary studies published between 2018 and 2023, nearly doubling the dataset from 88 to 171 studies and increasing the number of independent observations from 568 to 1348. We reanalysed the effects of both natural and simulated herbivory on floral traits, pollinator visitation and plant reproductive output, expanding previous damage categories to include stem damage and mixed-tissue damage - defined here as damage affecting multiple plant tissues simultaneously (e.g. grazing that impacts both leaves and flowers). KEY RESULTS: Plant damage significantly reduced floral traits, pollinator attraction and reproductive success. These effects varied with both the type of damage and the tissue affected, with their interaction strongly moderating plant responses. Natural damage to leaves and flowers in most cases reduced floral traits, pollinator visitation and reproduction (except floral traits in the case of flower damage). By contrast, root and mixed damage had no significant effects. Simulated damage, on the other hand, also influenced responses: damage to flowers and stems only reduced floral traits, while damage to leaves reduced pollinator attraction. Importantly, our updated analysis corroborates some trends but also overturns earlier findings: whereas previous work suggested no impact of simulated herbivory, we now detect significant negative effects, and natural floral damage, once considered neutral or in some cases positive for reproduction, is revealed to be detrimental. CONCLUSIONS: These findings demonstrate that herbivory alters plant-pollinator interactions in trait- and tissue-specific ways, providing new insights into the ecological and evolutionary consequences of plant-herbivore-pollinator linkages.
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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 | 0.016 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.037 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".