The effects of soil scarification on humus decomposition rate in forests in British Columbia, Canada
Bibliographic record
Abstract
Scarification is a widely used silviculture method and is suggested to improve organic matter decomposition rate. In this study, I made the use of an experiment that buried humus material into mineral soil after clear-cuts and studied its effects on humus decomposition rate in four biogeoclimatic zones (CWH, ESSF, ICH and IDF) in British Columbia. Litterbags containing local humus materials (mixture of F and H layers) were placed on the forest floor surface or buried in the soil (5-10 cm deep). Samples were retracted annually and dry mass and carbon (C) content were measured to calculate the remaining C mass in each sample for three continuous years. The remaining C mass at all of four sites was lower when buried than placed on the surface, but the difference was significant only at the drier IDF site. Humus in forests with better climatic conditions, such as abundant precipitation and suitable temperature, responded weakly to burying. Stimulation of humus decomposition through scarification is most likely to occur in dry forests in B.C.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".