Using ground beetles (Coleoptera: Carabidae) to control slugs (Gastropoda: Pulmonata) in salad greens in the laboratory and greenhouse
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Ground beetles common in temperate agroecosystems are predators of crop pests, including slugs (Gastropoda: Pulmonata). Salad green production in greenhouses during autumn and spring can be limited by damage due to slugs and other pests. Introducing ground beetles to greenhouses may help reduce damage and improve yields. In the laboratory, while arenas with only slugs produced nearly no harvestable leaves, the presence of Carabus nemoralis Müller (Coleoptera: Carabidae) increased the number and weight of harvestable leaves to 55% of the amount in control arenas (without slugs or beetles), in addition to reducing the number of slugs. In a second experiment, adult or second-instar Pterostichus melanarius (Illiger) (Coleoptera: Carabidae) were released into greenhouse mesocosms (75 cm diameter steel rings) containing salad greens and slugs. Neither adults nor larvae improved the number or weight of harvestable leaves at the first two harvests, and there was no evidence of slug consumption. Towards the end of the experiment cutworms were common in the mesocosms and contributed to damaging salad greens. Adult P. melanarius likely consumed some cutworms, resulting in small increases in salad green yields at the third harvest. Our results suggest that ground beetles should be further examined as part of an integrated approach to pest control in late and early season salad green production in greenhouses.
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.
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 | 0.001 | 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 it