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Enregistrement W4394200068 · doi:10.6084/m9.figshare.1590996

Investigation of the influence of tree size and tree condition on insect abundance of maple trees in Danby Woodlot, York University

2015· dataset· en· W4394200068 sur OpenAlex

Pourquoi ce travail est dans la base

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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueFigshare · 2015
Typedataset
Langueen
DomaineChemistry
ThématiquePlant-Derived Bioactive Compounds
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMapleTree (set theory)Abundance (ecology)ForestryGeographyEcologyBiologyMathematics

Résumé

récupéré en direct d'OpenAlex

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,604
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,042
Tête enseignante GPT0,227
Écart entre enseignants0,184 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle