Effects of Visual Silhouette, Leaf Size and Host Species on Feeding Preference by Adult Emerald Ash Borer, <i>Agrilus Planipennis</i> Fairmaire (Coleoptera: Buprestidae)
Bibliographic record
Abstract
The emerald ash borer, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae) is an invasive species recently established in North America. In large arena bioassays, when given a choice among live green ash, Fraxinus pennsylvanica Marsh and artificial ash saplings that were hidden or exposed from view, beetles preferred live trees (either visible or hidden) compared to artificial trees that had similar visual silhouettes, confirming that olfactory cues are used to locate hosts. Examination of the effect of leaf size revealed that large leaves attracted more beetles than medium-sized leaves that in turn attracted more beetles than small leaves of the same age. Beetles also consumed more of the large leaves in terms of total leaf area than either medium or small leaves, but the proportion of foliage that beetles consumed relative to total available leaf area, did not differ. When newly emerged adults were fed on green and Manchurian ash, Fraxinus mandshurica Rupr., foliage in a no- choice assay, beetles that were given green ash consumed significantly more foliage compared to those that fed on Manchurian ash, but neither longevity nor beetle body weight differed. Our results suggest that while beetles might use olfactory cues to identify suitable hosts, visual cues also play a role in landing and feeding behavior. Manchurian ash might have greater nutritive value or resistance than green ash, necessitating lower consumption and therefore less damage in nature.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".