Effect of growth rate on the natural durability of Douglas-fir in western Europe
Bibliographic record
Abstract
Douglas-fir is a relatively recent species in the central European forest landscape. It is not clear how its natural durability is influenced by silviculture. We therefore investigated how the natural durability of the Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) varies according to tree growth rate; subsequently, the influence of the nature of the wood (juvenile or mature) and radial position was also analyzed. For this purposes, a total of 60 trees grown in Wallonia (Southern Belgium) was felled: these consisted of 6 trees in each of 10 stands where the average tree girth was approximately 150 cm. Since the age of these plantations ranged from 40 to 69 years, the radial tree growth rate ranged between approximately 3 and 7 mm. In all the trees, standardized heartwood test specimens were taken from different radial positions in the butt log. The mass losses caused by the fungi Poria placenta and Coniophora puteana were assessed according to CEN/TS 15083-1 (2005). Poria placenta exhibited a higher decaying efficiency than C. puteana, leading to classify Douglas-fir wood as slightly durable (class 4). No difference was observed between the durability against P. placenta of juvenile and mature wood. Similarly, growth rate seemed to have no direct impact on durability. Durability was, however, significantly correlated with wood density. The effect of site and tree on the natural durability of the wood was also examined.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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".