Attraction of <i>Hylastes opacus</i> (Coleoptera: Scolytidae) to nonanal
Bibliographic record
Abstract
Hylastes opacus Erichson is a recently introduced bark beetle in North America (Bright and Skidmore 1997; Hoebeke 1994; Rabaglia and Cavey 1994; Wood 1992). It is widely distributed in the Palearctic region, where it usually breeds in stumps and roots of dead or dying pines (Pinus) and occasionally other conifers (Hoebeke 1994). Like many species of bark beetles, H. opacus uses host volatiles as cues to search for suitable host material for feeding and establishment of broods. Hoebeke (1994) reported the attraction of H. opacus to ethanol-baited logs of Scots pine (Pinus sylvestris L.) and red pine (Pinus resinosa Ait.) in New York, United States of America. In Sweden, Schroeder and Lindelöw (1989) observed H. opacus responding to (−)-α-pinene and to ethanol released separately, but a synergistic increase in response did not occur when these two compounds were released together. In later experiments, Lindelöw et al. (1993) found that traps baited with ethanol alone, ethanol + (−)-α-pinene, and spruce turpentine caught significantly more H. opacus than unbaited traps. In these experiments, (−)-α-pinene alone was not attractive, and when (−)-α-pinene was combined with spruce turpentine and ethanol, it reduced catches of H. opacus. In 2002, while investigating attractants for the pine shoot beetle, Tomicus piniperda (L.) (TM Poland, P de Groot, S Burke, D Wakarchuk, RA Haack, and RW Nott, unpublished data), we unexpectedly found significant numbers of H. opacus in one of our experiments. Here we report that H. opacus is strongly attracted to nonanal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.004 | 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".