Recovery of Boreal Forest Carbon Pools Following Stem-only Harvesting in Quebec, Canada
Bibliographic record
Abstract
Forêt Montmorency (FM), Quebec, provides an opportunity to use a 77-year chronosequence to evaluate the effects of stem-only harvesting on carbon cycling in a balsam fir-white birch boreal forest. By comparing empirical estimates of 19 carbon pools with those simulated in the Carbon Budget Model (CBM-CFS3), it is possible to assess the accuracy of model assumptions in predicting stand-level carbon dynamics. Although CBM-CFS3 was able to predict total ecosystem carbon within 10% of the empirical mean at stand maturity, many of the dead organic matter (DOM) pools deviated from field observations, indicating that model initialization of DOM pools did not adequately simulate the 1000 year history of C transfers and stand dynamics prior to the harvesting event. Future modifications to CBM-CFS3 initialization assumptions may be required to more accurately simulate the long-term effects of natural disturbances on carbon pools over time for this forest region.
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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 | 0.000 | 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 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".