Relative abundance and movement of the carabid beetle Scaphinotus angusticollis in managed coniferous riparian forests of southwestern British Columbia
Bibliographic record
Abstract
Riparian reserves designed to protect stream ecosystems are valuable to the conservation of riparian obligate and forest-preferring species; however, there have been few studies of terrestrial invertebrates with more general habitat requirements. To characterize the use of riparian reserves by terrestrial insects, we examined the ecology of Scaphinotus angusticollis Mannerheim, a large and abundant carabid beetle with a broad distribution in coniferous forests of western North America. Population sizes and movement behaviour of S. angusticollis were contrasted among clearcuts, 30 m reserves, and unharvested riparian forests near Vancouver, British Columbia, Canada, with three sites per habitat type. The relative abundances of S. angusticollis were as high in 30 m reserve habitats as they were in unharvested forests, whereas populations in clearcuts were approximately half the size of those found in 30 m reserves. Beetle distributions relative to nearby streams were similar across habitat types. Beetles moved twice as far in 30 m reserves than in clearcuts, suggesting there are differences in this beetle’s perception of reserve habitat. This study provides evidence that 30 m riparian reserves offer habitat that maintains population sizes and facilitates movement of terrestrial insect species like S. angusticollis at levels similar to that of unharvested riparian forests.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".