Macroscopic and Microscopic Modifications of Wood after Debarking of Trees in the South Cameroon
Bibliographic record
Abstract
Wounding of trees by debarking has been reported to form a callus tissue. This work aims to investigate macroscopic and microscopic modifications of wood after the removal of barks in Alstonia boonei, Scorodophloeus zenkeri, and Garcinia lucida. Species that are not yet barking were wounded to conducting experimental debarking. The wound was rectangular with 30 cm vertically with a lateral extent of 10 cm. Every three months, there was a follow-up for fifteen months during which the macroscopic and microscopic phenomena were observed and recorded. Microsections of 15–20 μm thickness were taken on a piece of wood from the regenerated and intact wood, with a sledge microtome. Staining of cell walls was done with safranin and fast green to increase contrast in an anatomical slide. Analyzes of the variability of xylem anatomical features were done by semi-automatic measurements using the SpectrumSee digital image analysis software. The speed of recovery of the bark of these three species is 9.04 cm/year for A. boonei, 5.9 cm/year for S. zenkeri, and 3.85 cm/year for G. lucida. The recovery of A. boonei’s bark is the fastest, and it just takes 15 months to heal its wound. Densities of vessels were 8, 38, and 17 per mm², respectively, for the wood of A. boonei, S. zenkeri, and G. lucida before barking. These values increased for A. boonei (26) and G. lucida (20) except for S. zenkeri (25). In all species, the diameter of the vessels has decreased in the regenerated wood. Management practices that enhance the monitoring of sustainable harvesting levels of species and promote alternative plants for the same uses should be considered as part of conservation strategies.
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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 | 0.000 | 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) | 0.000 | 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".