Sap beetles (Coleoptera: Nitidulidae) in managed and old-growth forests in southeastern Ontario, Canada
Bibliographic record
Abstract
Abstract Nitidulid beetles were sampled from old-growth and mature managed hemlock-hardwood forest stands in southeastern Ontario, Canada. Large-area flight-intercept traps and trunk-window traps were operated for 22 weeks in 2003 and yielded 2129 nitidulid beetles representing 30 species. Species richness was similar in both forest types but relative abundance was higher in managed stands. Other diversity measures (rarefaction-estimated species richness, Fisher's α, Simpson's index) were all higher in old-growth stands, and managed stands were separated from old-growth stands in cluster analyses based on overall species diversity. These results were strongly influenced by the dominance of Glischrochilus quadrisignatus (Say) in two managed stands; removal of that species from analyses resulted in higher species diversity in managed stands and no distinct separation of forest types in cluster analyses. Indicator species analysis showed that G. quadrisignatus and Pallodes pallidus (Palisot de Beauvois) were strongly associated with managed stands. Glischrochilus sanguinolentus (Olivier) was collected more frequently in trunk-window traps than in flight-intercept traps and data suggested a possible association of this beetle with old-growth stands. Pallodes pallidus and Cychramus adustus Erichson, both known to feed on fleshy white fungi, displayed a clear division in seasonal abundance peaks, suggesting that resource partitioning may be occurring.
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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".