Harvesting the dead and decaying forests: Potential carbon storage in harvested wood products
Bibliographic record
Abstract
British Columbia (BC)'s forests and wood products industry face tremendous adversity in the face of the mountain pine beetle (MPB; Dendroctonus ponderosae) epidemic. The death and decay of one of BC's leading merchantable tree species (lodgepole pine; Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) threatens both the sustainability and climate mitigation opportunities in BC forests. Our study investigates the potential for carbon (C) storage in wood products in the post-epidemic phase of the MPB outbreak. In particular, we contrast the C-balance implications of converting MPB timber into long-lived wood products (i.e., lumber) (scenario 1) versus softwood pellets for bioenergy (scenario 2). Our findings highlight the importance of the C-cycle neutral assumption in determining the net C-balance of lumber versus pellets. Timber harvests for lumber resulted in a net C storage with this assumption (case 1), and net C emissions without this assumption (case 2). With uncertainty surrounding the future C-balance of BC forests, the current assumption of biomass-derived emissions being completely C-neutral may need to be re-evaluated.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".