Comparing spacings of Anadenanthera peregrina (L.) Speg stand: response in biomass and carbon stock above and below ground
Bibliographic record
Abstract
Forests play a crucial role in the global carbon cycle. Among the factors that can affect carbon stocks in forest stands, planting spacing stands out. This study verified the effect of spacing on biomass and carbon stock in a stand of Anadenanthera peregrina (L.) Speg at 56 months of age. They were planted with 3 x 2 m, 3 x 3 m, 4 x 3 m, 4 x 4 m and 5 x 5 m spacings. The biomass of the above-ground compartments (stem, branches, leaves and bark) and root biomass was quantified, totalling 16.42 and 6.68 Mg ha-1, respectively. The largest amount of biomass and carbon stock occurred in the denser spacings. Total biomass was twice as large at 3 x 2 m spacing compared to 5 x 5 m spacing. The root biomass represented 40.93% of the total biomass. The order of participation of the components in the total aboveground biomass was branches (44.99%), stem (40.77%), leaves (13.99%) and bark (4.90%). The denser spacings (3 x 2 m and 3 x 3 m) showed higher values of biomass and carbon stock than the wide spacings (4 x 3 m, 4 x 4 m and 5 x 5 m). There was no effect of planting spacing on carbon stock in necromass and soil. Keywords: biomass, carbon sequestration, silviculture.
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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".