Conservation-oriented manipulations of coarse woody debris affect its value as habitat for spruce-infesting bark and ambrosia beetles (Coleoptera: Scolytinae) in northern Sweden
Bibliographic record
Abstract
Many species of Scolytinae are pests in boreal forests, so factors that affect their abundance are of great interest to forestry. Using emergence and window traps we examined the effects of stand type and substrate characteristics on the abundance of spruce-infesting Scolytinae in northern Sweden. Several species of Scolytinae (Crypturgus subcribrosus, Hylastes cunicularius, Hylurgops palliatus, Pityogenes chalcographus, Polygraphus punctifrons) were captured in greater numbers on snags than on untreated logs. Log exposure also had a significant effect on some species, H. palliatus and Trypodendron lineatum were more abundant in window traps on artificially shaded logs than on naturally shaded or untreated logs. Significantly fewer Dryocoetes autographus, H. palliatus,Hylurgops glabratus, andH. cunicularius were captured on burned logs than on untreated logs. Stand type clearly affected several species, P. chalcographus emerged in greater numbers on clearcuts than in mature managed and old-growth stands, and D. autographus,H. glabratus, and T. lineatum showed the opposite pattern. Historical records suggest that pest outbreaks are rare in northern Sweden; however, improved knowledge of the habitat preferences of potential pest species in this region will allow us to take the necessary precautions against outbreaks, whilst leaving sufficient dead wood to support intact saproxylic assemblages.
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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 | 0.001 | 0.001 |
| 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".