Modelled impact of Norway spruce logging residue extraction on biodiversity in Sweden
Bibliographic record
Abstract
Logging residues are increasingly being extracted for bioenergy purposes. This study estimates how extraction of fine woody debris (FWD) may affect the overall habitat availability for 577 species of wood- and bark-inhabiting basidiomycetes, beetles, and lichens in Sweden using Norway spruce ( Picea abies (L.) Karst.) as their primary substrate. We combined modeling of (i) the amount of various types of woody debris available throughout a forest rotation in managed forests with (ii) a classification of each species’ associations with different types of wood. In three different regions, we compared a scenario with no logging residue extraction with three different levels of extraction. Our results suggest that the extraction may cause a 35%–45% reduction in aboveground FWD and a more than 20% decline in the potential amount of substrate for about 50% of the species (affecting basidiomycetes and beetles more than lichens). The intensified forestry during the last century has, however, steadily increased the production of FWD. Furthermore, no red-listed species is primarily associated with logging residues of Norway spruce. Therefore, the current situation in Sweden with extraction of 70% of Norway spruce FWD on 50% of the clearcuts probably constitutes a minor contribution to the regional extinction risks.
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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 | 0.000 |
| 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) | 0.001 | 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 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".