Attraction of <I>Ips pini</I> (Coleoptera: Scolytidae) and Its Predators to Various Enantiomeric Ratios of Ipsdienol and Lanierone in California: Implications for the Augmentation and Conservation of Natural Enemies
Bibliographic record
Abstract
Many natural enemies of bark beetles are attracted to bark beetle pheromones, and substantial numbers of them are removed along with the target pests in mass trap-out programs. Thus, additional information on bark beetle and predator behavior is needed to maximize trap-out of target pests while decreasing trapping of beneficial insects. Ips pini (Say) is the most widespread bark beetle associated with pine trees in the United States and Canada. Geographically distant populations vary considerably in their production of, and response to, different stereoisomers of their principal pheromone component, ipsdienol, and an additional pheromone component, lanierone. California populations of I. pini are attracted to 99.9%(–)-ipsdienol, and the presence of lanierone has no effect on attraction. We simulated trap-outs by conducting no-choice assays using three different ratios of (+)/(−) enantiomers of ipsdienol with or without lanierone in the field. Experiments were performed in mixed pine forests in northern California in 1997 and 1998. Experiments were performed twice each year to sample the two major flight periods of I. pini. Ips pini and its predators showed temporal and behavioral differences in their attraction to lures. Lures that are preferred by I. pini, 3(+)/97(−) ipsdienol with or without lanierone, selectively removed up to 5–7 times more pests than predators during early summer. Moreover, the ratios of pest to predators were much higher in the late than early summer, and pest numbers were as much as 282 times higher than predators. In contrast, lures most attractive to predators removed as much as 10 predators for each I. pini trapped. These results suggest that timely applications of carefully selected synthetic lures, in combination with other complementary forest management practices, can greatly improve trap-out programs for bark beetles and natural enemy conservation. In addition, behavioral differences in attraction suggest the potential for augmentation of natural enemies.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".