Attraction of the cerambycid beetles <scp> <i>Tetropium gabrieli</i> </scp> , <scp> <i>T. castaneum</i> </scp> and <scp> <i>T. fuscum</i> </scp> to pheromones and host tree volatiles
Bibliographic record
Abstract
Abstract Tetropium gabrieli is native to the European Alps where it breeds in European larch and may be an important pest during drought periods by killing trees. It has spread to larch plantations in several European countries including Sweden. In trapping studies conducted in Sweden, we tested whether T. gabrieli was attracted to E‐ fuscumol, E,Z‐ fuscumol, E,Z‐ fuscumol acetate and the host volatile combination of α‐pinene plus ethanol. We also compared its response with those of the native congeners, T. fuscum and T. castaneum . All three Tetropium species were caught in significantly higher numbers in traps baited with E ‐fuscumol plus host volatiles than in traps baited with host volatiles alone or in unbaited traps. There was no difference in catch of any Tetropium species between traps baited with E‐ fuscumol plus host volatiles versus traps baited with E,Z‐ fuscumol plus host volatiles, but the latter treatment caught more T. fuscum and T. castaneum than did E,Z‐ fuscumol acetate plus host volatiles. The addition of E‐ fuscumol to host volatile‐baited traps significantly reduced mean catch of T. gabrieli, significantly increased mean catch of T. castaneum, and had no significant effect on catch of T. fuscum. Mean catch of all three species was significantly greater in traps baited with E‐ fuscumol alone than in traps baited with host volatiles alone. All three species were caught from May to August. The median date of captures was about 2 weeks earlier for T. fuscum compared with the other two species.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".