Investigation of the influence of tree size and tree condition on insect abundance of maple trees in Danby Woodlot, York University
Notice bibliographique
Résumé
This study was done in collaboration with 3 other team members consisting of Muhammad Akram, Daniel Germani, and Markian Plawiuk. The purpose of this study was to collect data in order to investigate the influence of tree size and tree condition of maple trees on the abundance of insects within close proximity to the tree. It was hypothesized that there would be a greater abundance of insects if trees were dead and/or large, compared to trees that were alive and/or small. It was predicted that the abundance of insects found in proximity of the trees in predicted in descending order would be: dead and large trees (greatest abundance of insects), dead and small trees, alive and large trees, alive and small trees (least abundance of insects). The experiment took place at the Danby Woodlot at York University Keele campus in Toronto, Ontario, Canada. The Danby Woodlot consisted of an abundance of different species of trees of various heights and canopy coverage. Overall, there were moderate amounts of canopy coverage within the entire Woodlot, as moderate amounts of sunlight were able to pass through. The Woodlot also had a moderate amount of leaves on the ground, as the study took place in the early Fall season. Data collection was completed on two separate days, each day 1 week apart from each other. The first day of study was Tuesday October 13th 2015, which was a cool and slightly windy, cloudy day with a temperature of 15°C and a wind current of approximately 10km/h. On this day, data collection began at 2:57PM and concluded at 5:05PM. The second day of study was Tuesday October 20th 2015, which was a cool and gloomy day with light drizzles and a temperature of 17°C and a wind current of approximately 11km/h. On this day, data collection began at 2:47PM and concluded at 4:53PM. Over the two days of data collection, 25 maple trees from each category were studied: alive and small, alive and large, dead and small, dead and large. To locate the next tree to investigate, the members of the group continually walked East further into the Woodlot after sampling the first maple tree found at the centre of the Woodlot. The size of the tree was determined by measuring the dbh using a measuring tape. The number of insects within a 1m2 quadrat placed 1 metre to the left/West of the tree of interest was counted by all four members of the group collaboratively (with each member responsible for 1 side of the quadrat) while using a digital stopwatch to ensure that the duration of counting was consistently 60 seconds for each tree under investigation. On the first day of data collection, 10 maple trees belonging to each of the four categories were studied, while 15 maple trees of each category were studied for the second day of data collection. In total, 100 maple trees were sampled. Due to the precipitation occurring on the second day of data collection, it was believed that the data collected may have been affected. This was due to how the abundance of insects was likely to be affected by the uncontrollable weather conditions which differed from the first day of data collection.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 source (Gemma direct ou Codex distillé), 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 ».