The introduced bark beetles <i>Hylurgus ligniperda </i>and <i>Hylastes ater</i> (Coleoptera: Scolytidae) in Chile: seasonal flight and effect of <i>Pinus radiata</i> log placement on colonization
Bibliographic record
Abstract
The seasonal flight of Hylurgus ligniperda (Fabr.) and Hylastes ater (Paykull) and the effect of log placement in Pinus radiata D. Don plantations on colonization by these species in Chile are described. Seasonal flight activity was monitored with α-pinene and ethanol-baited traps at three sites and colonization synchrony with trap logs. In two experiments with individual logs and log decks, data were recorded on adults found under the logs, attacks on the bark surface, and adults beneath the bark of logs in three storage treatments: individual logs and log decks (1) touching the soil; (2) elevated above the soil; and (3) touching other logs (individual logs) or logs separated with spacers (log decks). Each treatment was replicated in a plantation and a clearcut. At San José (region IX) and Peña Blanca (region VIII), H. ligniperda flew primarily in spring and H. ater flew in spring and fall. At Brasil (region VIII), H. ligniperda and H. ater flew primarily in summer through fall. The flight of H. ligniperda was more synchronized with colonization of logs than was that of H. ater. The mean number of attacks was significantly higher on individual logs and log decks stored on the soil than on those elevated above the soil, and significantly higher in the clearcut than in the plantation. Mean numbers of adults beneath the bark did not vary significantly among individual-log treatments, but were significantly lower in the log decks separated by spacers. Logging during nondispersal periods (June–August in regions VIII–X) and storing log decks above the soil could reduce beetle colonization of newly cut logs. With this information, management of recently cut logs (harvesting, transport, and storage operations) could be scheduled and executed so as to reduce the risk of these species being introduced into log-importing countries.
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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 | 0.000 | 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) | 0.001 | 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".