The distribution and role of downed woody debris in nutrient retention and cycling during early stand establishment
Bibliographic record
Abstract
Coarse woody debris (CWD) in boreal ecosystems has been hypothesized to play an important nutritional role following stand-replacing disturbances such as fire or harvest. Sites with shallow soil over bedrock or those with coarse textured soils can be especially susceptible to overstory removal as low carbon and nutrient pools may limit stand productivity in subsequent rotations. \nThis dissertation includes results from a series of in-situ and ex-situ experiments examining the nutritional role of CWD. The ex-situ experiment was designed to evaluate whether species (aspen, spruce), origin (fire, harvest), and/or decay class (1-5) influence the timing, and rate of nutrient release from CWD. Source/sink relationships of CWD leachate were largely a function of CWD decay stage for C (source, peaking at decay class 4 and then a slight decline in decay class 5), N (initial sink to eventual source) and P (initially a large source followed by low rate of release). Leachate values from harvested logs were similar to those of fire origin, with the exception of N and Mn, suggesting considerable volatilization of these two nutrients during wildfire events.
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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) | 0.001 | 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".