DIVERSITY, HABITAT USE AND POTENTIAL BIOCONTROL SERVICES OF ROVE BEETLES (COLEOPTERA: STAPHYLINIDAE) IN SOYBEAN AGROECOSYSTEMS AND ADJACENT HEDGEROWS
Bibliographic record
Abstract
Rove beetles (Staphylinidae) in Ontario soybean-hedgerow agroecosystems were surveyed in 2009-2010 to identify common, widespread species and assess their potential biological control of Soybean Aphid and Bean Leaf Beetle. The spatiotemporal distributions, habitat use, and co-occurrence of staphylinids with soybean pests were studied to provide a framework for future agroecological studies of biocontrol services in soybean. A taxonomic review of the Staphylinina (Staphylinidae: Staphylininae) (‘large rove beetles’) for the geographic area of study was conducted and identification keys were created to assist in future staphylinid research. Common soybean staphylinids were generally exotic, penetrated field interiors, utilized hedgerow habitat outside the growing season and co-occurred with pest populations during vulnerable life stages. Several species exhibited nocturnal activity in soybean foliage. Biocontrol of overwintering Soybean Aphid and Bean Leaf Beetle populations in hedgerows by staphylinids may occur in buckthorn canopies and leaf litter, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".