Influence of disturbance on soil C dynamics in
Bibliographic record
Abstract
In Canadian boreal forest ecosystems, estimates of carbon (C) in the forest floor and total soil were compared and the influence of disturbance was evaluated. The soil C estimates were based on data from: (a) analysis of pedon data from the national-scale soil profile database; (b) the Canadian Soil Organic Carbon Database (CSOCD), which uses expert estimation based on soil characteristics; and (c) model simulations with the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS2). Estimates for soil C from the three approaches ranged from 1.3 to 5.3 kg C m for the forest floor and from 7.8 to 19.2 kg C m for the total soil column. Variations in litter input rates due to different type of disturbances cause most of the variation in the soil carbon pools. Changes in disturbance history, litter fall rate, site characteristics, and climatic factors alter the processes regulating both inputs and outputs of carbon to soil stocks. Thus, understanding the dynamics of C as determined by disturbances is essential for quantifying past changes in soil C stocks and for projecting their future change.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".