Exterior characteristics and internal wood decay of hazard trees in Thunder Bay, Ontario / by Kurtis Barker.
Notice bibliographique
Résumé
One major component of urban forestry is the ability to recognize hazard trees and have them removed before they fail or cause damage to people or property. Thunder Bay's urban forest consists of approximately 20,000 street trees, many of which are at the end of their lifespan and becoming hazardous. Each year 200 or more street trees are removed by the city which provided an opportunity to undertake this research project to identify and possibly equate the relationship between exterior characteristics of trees deemed hazardous, with interior damages, i.e. wood decay. Secondary objectives of this project included measuring the occurrence and diversity of wood decay fungi on street trees in Thunder Bay, creating a resistograph measurement atlas, and determining if a relationship \nbetween resistograph measurements and wood strength values (density and MOE) is possible. \nIn total, exterior characteristics were measured on 177 hazard trees destined for removal, 65 in the summer of 2011 and 112 in the summer of 2012. Of the trees measured, 19 species were represented, with white birch (26%), silver maple (16%), green ash (14%), and Manitoba maple (9%) \nbeing the most commonly occurring. White birch had the lowest health ratings, with crown die-back brought on by drought stress and bronze birch borer infestation. Damage by severe pruning on major limbs resulted in extensive decay observed among many of the white birch. Silver maple exhibited a decrease in trunk health and structure with increasing age. Large pruning wounds which facilitated invasion by decay fungi, and co-dominant forking were common problems encountered on silver maple. \nGreen ash experienced damage to foliage and exhibited twig and branch die-back in the lower crowns of trees due to ash anthracnose. \nAlthough discs should have been removed from all 177 street trees, only 26 tree discs from this pool of trees were collected by Parks crews. An additional 44 tree discs were collected by Parks crews that came from trees not on the original tree removal lists. Due to the small sample size for each tree species, it was not possible to find a correlation between exterior characteristics and internal defects. However, all tree discs (70) were photographed and drilled with a resistograph (IML Resistograph F-series) and are illustrated along with the resistograph charts in Appendix III. Cracks and advanced decay were readily recorded with the resistograph, but incipient decay was not detected as it had readings similar to sound wood. A significant source of error noted was drill bit deflection caused by knots in the wood, contours, and meandering growth rings. \nOne hundred and one trees were observed to be colonized by decay fungi, 22 of these trees were among the original 177, while the remaining trees were additional street trees observed in Thunder Bay. Twenty seven species of decay fungi were recorded, and among these, Cerreno unicolor, \nHypsizygus tessulatus, Pholiota aurivella, Chondrostereum purpureum, Pholiota squarrosa, and Ganoderma applanatum were among the most commonly encountered. Particular attention needs to be paid to silver maple and white birch which were most heavily infected. Green ash exhibited the lowest infection by decay fungi. \nSixteen resistograph readings from two bolts from a silver maple were taken to compare the values on the y axis with actual wood density and MOE values. Results of a linear regression model suggest that a relationship exists. Although more trees would need to be tested in order to strengthen \nthe interpretation of the relationship. This could provide for a methodology to be created which would give urban foresters measurements that could more accurately predict when a tree is likely to fail.
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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) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».