Bibliographic record
Abstract
General circulation models that predict large-scale climatic changes at present account neither for the effects of these changes on terrestrial and aquatic biota nor for feedbacks associated with the effects. This chapter reviews some of the feedback mechanisms through which temperate and boreal forest ecosystems could affect future climatic changes. The effects of changes in forest distribution and changes in growth and decomposition rates are addressed by others in this volume. This chapter emphasizes the role of disturbance regimes and their effects on forest structure and function. We show that changes in climatic conditions have affected forest disturbance regimes in the past and that these changes in disturbance regimes must be considered when assessing biospheric feedbacks to future climate changes. The chapter fIrst identifIes indicators of forest ecosystems to be evaluated when assessing feedback potentials. The disturbance regimes in the last 60 years in Canadian forests are reviewed and the potential feedback to climatic changes is discussed. Mitigation options available through forest manage ment and protection are addressed briefly. FEEDBACK MECHANISMS
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".