Carbon stocks of western redcedar and western hemlock stands in Canada's inland temperate rainforests.
Bibliographic record
Abstract
This study was conducted to fill a knowledge gap in forest ecosystem carbon (C) stocks for managed/harvested and unmanaged old-growth stands of Interior Cedar Hemlock (ICH) biogeoclimatic zone forests, also known as Inland Temperate Rainforests' (ITRs), in central British Columbia (BC). Carbon stocks of live tree (with accounting for heart-rot and hollow) and dead organic matter (snag, coarse woody debris, and forest floor excluding mineral soil) were quantified in three study sites designated as ICHwk3 or ICHvk2. The C stocks were evaluated among stands treated with three different harvesting methods: clear-cutting (CC), group retention (GR, 30% retention), group selection (GS, 70% retention), and uncut (UN, 100% retention). Mean total forest C stocks (excluding mineral soil) in old-growth stands were 455 ± 156 Mg C ha⁻¹ (± 95% confidence interval) similar to regional average forest C stocks for the Pacific Northwestern USA, demonstrating the important C reservoirs in this ecosystem despite the high incidence of heart-rot in cedar. Live-tree and dead-organic-matter C stocks accounted for 76 and 24% of the total C, respectively. Tree biomass allometric equations were the largest contributor to total uncertainty in live-tree C stocks. This indicates the need to develop ITR-specific tree allometric equations for more accurate assessment of live-tree C. Old ITRs were found to be vulnerable to intensive harvesting (CC and GR), losing the total C stocks of 78 and 65% below those of uncut old-growth stands. In contrast, low-intensity harvesting (GS) reduced the C stocks of only 13% below those of uncut old-growth stands and thus provides a good compromise between forest harvesting to provide wood products and maintenance of forest C stocks at all sites. High spatial variability observed in the total forest C stock also stresses the importance of recognizing landform-related productivity gradients (i.e., toe slopes) in the old ITRs. In the face of continued greenhouse gas accumulat
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".