Carbon dynamics of aboveground live vegetation of boreal mixedwoods after wildfire and clear-cutting
Bibliographic record
Abstract
Live vegetation carbon (C) pool dynamics are central to understanding C sequestration of forest ecosystems. Despite its importance, how aboveground live C pools change with stand development in boreal mixedwoods is poorly understood. We quantified aboveground live C pools (i.e., trees, >4 m in height; saplings and shrubs, 1.3–4 m in height; and understory plants, <1.3 m in height) in a postfire chronosequence ranging from 1 to 203 years and a postlogging chronosequence ranging from 1 to 27 years in the boreal mixedwoods of central Canada. The tree C pool of postfire stands increased from 0 to 109.2 Mg/ha from 1 to 92 years after fire and then declined to approximately 70 Mg/ha in 140- and 203-year-old stands. Carbon pools of saplings and shrubs and understory plants also changed with stand development and stand origin. Of the three age classes compared, postlogged stands had significantly higher vegetation C than postfire stands 1 and 27 years after disturbance, but there was no difference in 9-year-old stands. Higher values of live vegetation C in postlogged stands was attributed to live standing trees left after logging and silvicultural treatments that helped trees to establish during stand initiation.
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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) | 0.000 | 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 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".