Viburnum leaf beetle, Pyrrhalta viburni (Paykull) (Coleoptera: Chrysomelidae) : Dispersal pattern of a palearctic landscape pest in New York and its distribution status in the northeastern U.S. and eastern Canada
Bibliographic record
Abstract
Pyrrhalta viburni, a chrysomelid leaf beetle native to Eurasia, was first detected in central New York in 1996, and since has been spreading throughout the state. Distribution records are given and mapped for this Viburnum-feeding specialist in New York, Pennsylvania, Ohio, and Vermont. By summer of 2002, P. viburni had been recorded from 33 counties in New York, and its subsequent spread throughout a larger portion of the U.S. can be anticipated. In addition to feeding on several species of cultivated viburnums, the beetle also thrives on the native Viburnum dentatum var. lucidum (arrowwood), a widely occurring understory shrub in northeastern North America. The dispersal of P. viburni in New York has largely followed the distribution of its host plants, which leads us to predict that future spread will proceed most quickly through habitats contiguous with the current distribution of the pest and containing denser stands of V. dentatum var. lucidum or other native and cultivated viburnums that are suitable hosts for P. viburni. We also summarize the current distribution of P. viburni in neighboring states of the northeastern U.S. and in provinces of eastern Canada, based on personal communications with entomologists most acquainted with this ornamental and nursery pest.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".