Responses of two <i>Sericoda</i> Kirby, 1837 (Coleoptera: Carabidae) species to forest harvesting, wildfire, and burn severity
Bibliographic record
Abstract
Forest fires are among the most important natural disturbances in the boreal region, but fire-initiated succession is increasingly often interrupted by salvage logging, i.e., post-fire removal of burned trees. Unfortunately, very little is known about the ecological effects of this practice. To address this knowledge gap and to examine other factors affecting the abundance of two fire-associated carabid species (Sericoda quadripuntata and S. bembidioides) we conducted three field studies based on pitfall trapping in recent burns in Alberta, Canada. The results suggest that the abundance of both species drastically decreased from the first to the third post-fire year and that fire severity was positively associated with abundance of both species. The combined effects of wildfire and forest harvesting were associated with higher catches of S. quadripunctata, but lower catches of S. bembidioides. We discuss these findings in the contexts of salvage logging and species ecology.
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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 | 0.000 | 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) | 0.002 | 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".