Aboveground Biomass of Selected Provenances of Acacia Mangium and Acacia Aulacocarpa Multiple-leadered Trees
Bibliographic record
Abstract
Acacia mangium Willd. and Acacia aulacocarpa A. Cunn Ex. Benth are two important Acacias for biomass production.Being multiple-leader (ML) and fast growing species, both species are the best bet for carbon sequestration andbio-energy supplementary. The main objective of this study was to assess the aboveground biomass and to deriveaboveground biomass equations of these species and provenances. Destructive sampling was carried out with 36samples per species and diameter at breast height (Dbh) and categorized into three classes namely small (11-15 cm),medium (16-20 cm) and big (21-25 cm) for A. mangium and 6-10 cm, 11-15 cm and 16-20 cm for A. aulacocarparespectively. A. mangium from SW of Boset WP (PNG) produced 380.83 t/ha of aboveground biomass, Captain BillyRoad (QLD), Bansbach WP (PNG) (224.44 t/ha) and Russel and Gap CK (QLD) (49.63 t/ha) while for A. aulacocarpa;provenance from Arufi E Morehead WP (PNG) (171.88 t/ha), W. Morehead (PNG) (150.90 t/ha), Samford (QLD)(63.87 t/ha) and 3K S Mt. Larcom (QLD) (25.32 t/ha) respectively.
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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 | 0.001 | 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".