Stand density management implications on the woody quality of yellow birch (Betula alleghaniensis Britton) in the Sault Ste. Marie MNR District of Ontario / by Richard Major
Notice bibliographique
Résumé
"Creating quality tolerant hardwood stands through intensive silviculture and mapping their properties is considered a means for optimizing the value chain in Northeastern Ontario. A comprehensive literature review was conducted concerning the growth, morphology and factors influencing end merchantability of diffuse porous hardwoods, which commonly grow in Northeastern Canada and North America. It was seen that there was a gap in the literature concerning the effects varying degrees of density management have on the internal properties of the growing stock occurring on site. The literature did, however, provide a knowledge base from which to evolve. Based on the current gaps in the literature, mapping of the internal properties associated with density management of yellow birch was conducted from a research site 30 kilometers Northwest of Thessalon, Ontario in the Algoma Forest District. Density management associated with the specific research site reflect releasing trees to 10%, 20%, 30% and 40% of tree height at time of treatment, since the trees were on average 10m high the treatments consist of releasing plus trees to one, two, three and four m, respectively. Destructive testing was performed on 15 yellow birch (Betula alleghaniensis Britton) trees from the thinning trial located in the Northern regions of the Great Lakes St Lawrence forest zone. The results showed that the thinning treatments applied had a significant effect on the internal wood properties of the yellow birch growing on site. The greatest variability was not between treatments but axially throughout the trees. Janka Ball side hardness values attained from the test specimens were on average 24% higher than published values. Modulus of Elasticity (MOE) and Modulus of Rupture (MOR) values attained were 15% and 15% lower than the published values, respectively. The average ring width values across all treatments analysed were found to be 80% higher than the published values. The values for the microscopic attributes (fibers and vessels) displayed no difference between treatments and followed published trends associated with morphological changes in the trees. It was observed that the properties do not follow any discernable pattern associated with the intensity of crop tree thinning intensity. It was determined that thinning treatments do have a significant effect on the internal mechanical properties of the yellow birch growing on site and is suggested that thinning can increase stem merchantability and decrease rotation ages."-- from abstract.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».