Effect of Stand Density on Growth and Allometry of Marri (<i>Corymbia Calophylla</i>) in the High Rainfall Zone of Southwest Western Australia
Bibliographic record
Abstract
Marri ( Corymbia calophylla ), an endemic and keystone tree species of southwest Western Australia (SWWA), provides significant environmental, conservation, economic and cultural values. This study aims to analyse the effect of stand density, manipulated through thinning, on growth and allometry of marri-dominated forest. Although individual tree diameter (DHBUB, diameter at breast height under bark), basal area, height and crown-width (CW) growth was stimulated by thinning, stand basal-area growth was highest in denser (less thinned) stands. Stand density had a significant effect on the allometry between DBHUB and each of height and height-diameter ratio (HDR). Height and CW increased with an increase in DBHUB although the relationship with CW was not statistically significant; HDR was inversely related to DBHUB. Thinning has the potential to increase yields of merchantable timber, firewood, and enhance ecological values including tree hollows for arboreal fauna and marri-fruit production (important for cockatoos) that depend on retention of sufficient large old trees. Reduction of stand density through thinning reduces inter-tree competition and may help in reducing the risk of marri canker disease.
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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".