System level carbon sequestration by riparian buffer systems as influenced by soil texture, vegetation type and age in southern Ontario
Bibliographic record
Abstract
The effect of soil texture, vegetation type and age on system level carbon (C) sequestration in eight riparian buffer systems (RBS) in southern Ontario was investigated. Biomass C sequestration was up to three times (247 Mg C ha-1) greater in deciduous buffers than in coniferous buffers (100 Mg C ha-1) regardless soil texture and age. Mature deciduous tree buffers in clay soils had the highest soil organic carbon (SOC - 177.62 ± 6.193 Mg C ha-1) while the young coniferous buffers in loam soil had the lowest (94.71 ± 6.193 Mg C ha-1). SOC sequestration (154 Mg C ha-1) was significantly higher (p<0.05) in mature buffers compared to adjacent agricultural fields (88 Mg C ha-1), irrespective of soil texture and vegetation type. All RBS had ~66% of SOC in the heavy fraction, indicating stable SOC. Soil NH4+-N was the predominant inorganic N source in all RBS.
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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 | 0.000 |
| 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".