Abundance and Seasonal Activity of Weevils (Coleoptera: Curculionidae) in a Raspberry Plantation and Adjacent Sites in Southern Quebec (Canada).
Bibliographic record
Abstract
In a raspberry plantation and adjacent sites in southern Quebec, we collected weevils with unbaited pitfall traps and flight interception traps from early May througb late October in 1987-1989. We captured a total of 1592 weevils representing 65 species, including at least 21 Holarctic or introduced species in North America. In and around the raspberry plantation, the commonest species collected by the two methods were the short-nosed weevils of subfamilies Otiorhynchinae and Thylacitinae, mainly generalist species with root-feeding larvae. Ceutorhynchinae and Tychiinae species were also abundant in flight traps near the raspberry plantation, whereas Hylobius congener was the most abundant weevil active at the ground surface in an adjacent pine woods. Sciaphilus asperatus and Otiorhynchus ovatus, two introduced wing less weevils, were the most abundant species caught with pitfall traps in raspberry rows; the increase of their abundance in the young plantation was probably associated with the increase of raspberry root mass and canopy during the three study years. The weevil fauna at a woods-field boundary was quite variable in the relative abundance of species active in open sites or in wooded sites. We studied the seasonal activity of H. congener, O. ovatus, S. asperatus, Sitona lepidus, Trachyphloeus bifoveolatus, and nine other minor weevil species.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".