BIOL2050 Ecology Field Sample Training - Comparison of the Abundance and Diversity of Insects in the Danby Woodlot as Opposed to the Grassland
Notice bibliographique
Résumé
Methods: In order to assess the variation in abundance and diversity of insect species between geographically adjacent grassland and woodlot areas, 9 pan traps were set up in the Danby woodlot and 9 were set up in the Danby grassland. The pan traps consisted of Solo bowls which were filled halfway with soap water and were arranged in an approximate line about 2 meters apart from one another, in both the grassland and woodlot respectively. The purpose of the soap water is that it breaks the surface tension of water allowing for insects to fall in. Each line of 9 traps was set out in a pattern alternating Red, White and Blue coloured bowls. The purpose of the different colours is to attract a broad range of insects, as the colours mimic the colour of flowers. After 2 hours, the pan traps were examined and the total number of insects in the soap water, as well as the number of different insect species (distinguished by morphology - by differences in appearance) were counted. Study Site: This field study took place in the Danby Woodlot on York University's Keele Campus in Toronto, Ontario, Canada. Approximate GPS coordinates of the campus are 43.7735° N, 79.5019° W. The study site spanned both the woodlots and the adjacent grassland area. The study was conducted on Thursday September 29th, 2016. The temperature was approximately 15°C with light rain and wind strength at around a 5 on the Beaufort scale. 18 Solo Bowls in the colours Blue, Yellow, and White were used (6 of each colour), as well as soap water, in order to conduct this experiment. No other equipment was necessary, as the data was collected by visual examination to distinguish between insect species and manual tallying of total number of insects. Hypothesis: There will be variation in the total number of insects and the number of recognizable taxonomic units between the grassland and woodlot locations. Additionally, another factor of the surrounding environment to affect the data will be the colours of the native flowers of the area, causing a variation in the total number of insects and the number of recognizable taxonomic units between the different colours of pan traps. Predictions: 1) There will be a greater total number of insects in the pan traps placed in the woodlot location than the grassland due to the fact that this area is less disturbed by wind as a result of the high density of trees in the area, making it easier for insects to move into the traps. 2) There will be a greater number of Recognizable Taxonomic Units (RTUs) in the pan traps placed in the woodlot as opposed to those in the grassland, as this is an area with less disturbances, allowing a variety of species who may not have sufficient adaptions to survive in the more open disturbed grassland, to inhabit it. 3) There will be a greater total number of insects and number of recognizable taxonomic units in the blue and white coloured pan traps as a result of the fact that the majority of the native plants found in the Danby woodlot and grassland area are yellow and white in colour and will thus better attract the native pollinators and other insects. Metadata: Pan Trap Colour (Categorical Attribute): Pan trap bowls were red, blue, and yellow. The colours were distinguished visually by the naked eye. Location (Categorical Attribute): The two locations - grassland and woodlot were visually differentiated between based on the criteria that the area densely populated by trees was woodlot, and the open area primarily consisting of only grass and shrubs was grassland. Total Number of Insects (Categorical Attribute): Total number of organisms displaying the general morphology of insects was manually tallied; counting the number of insects submerged in the soap water. Number of different Recognizable Taxonomic Units (Categorical Attribute): Insect species were visually distinguished relative to one another through their morphology, differentiating using variables such as relative size, colour, wing presence/absence. Group Members: Vanessa Guo, Monica Matta, Krysten Zarivnij
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,024 | 0,005 |
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 ».