Anatomy of eucalyptus wood managed under a coppicing system
Bibliographic record
Abstract
Coppicing is a forest management technique that induces the production of new shoots from stumps to start a novel forest cycle. This study aimed to compare anatomical characteristics between coppice and high stem. Wood samples were collected from clones of Eucalyptus grandis × Eucalyptus camaldulensis, E. grandis × Eucalyptus urophylla, and Eucalyptus saligna grown in one-stem coppice, two-stem coppice, and high stem. Anatomical parameters of fiber dimensions such as vessel diameter and frequency were analyzed. Anatomical elements were quantified by cell coloring and point counting (324 points) methods. The anatomical structure of coppiced trees was found to vary according to eucalyptus species. Fiber length and vessel frequency were similar between coppice and high stem. Coppiced wood showed higher fiber cell wall thickness and vessel diameter. Adaptation to coppicing resulted in a specific anatomical composition for each species, such as a higher quantity of parenchymal cells in E. saligna and a lower quantity of fibers in E. grandis × E. urophylla. The point sampling method provided inaccurate results, differing significantly from the cell coloring method. The findings underscore that the decision to manage forests under a coppicing system should be approached with caution, as it is crucial to understand the resulting anatomical alterations to mitigate potential industrial issues.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".