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Enregistrement W2533489827 · doi:10.6084/m9.figshare.4042467.v2

YorkU.grassland.disturbed.Oct19-2016

2016· article· en· W2533489827 sur OpenAlexaboutno aff
Virdi Amrit, Wasson Jasleen, Grant Nyiesha, Benjamen Mary

Notice bibliographique

RevueFigshare · 2016
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueRangeland and Wildlife Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGrasslandEnvironmental scienceGeographyEcologyBiology

Résumé

récupéré en direct d'OpenAlex

Metadata: Census: Represents the sampling week. This was our second week of sampling for these specific data sets. There will be a total of 2 censuses. Calender.date: Represents the date we conducted the sampling. This first part of sampling was conducted on October 19th, 2016. There will be 1 other part of sampling done on later days. Campus: Represents which university campus we sampled on. We were on the Keele Campus of York University. The other campus participating in sampling is the University of Toronto. Group_ID: Identifies what section of lab we are in out of all the sections for York's BIOL2050 labs, as well as our specific 4 person group numbers. Our group ID was: Lab03Group03. Habitat: Represents the habitat where we did the sampling. This week, we conducted our sampling in the Danby Grassland as well as Danby Disturbed area at York University, in a North-South direction. Rep: The number of repetitions (sampled the same thing) we did for each dataset. Dataset 1and 2 had 25 reps, dataset 3 had 2 reps, and dataset 4 had 6 and 10 reps. Abundance.native.plants: The total number of individual native plants located in the 1 by 1m quadrats that were randomly placed along the transect tape for 50m, alternating left and right. Native plants were differentiated as plants that are native to Canada and weren't brought from outside countries. Anything that wasn't an exotic plant was considered native. Each quadrat had a 2m gap between them. Abundance was measured by physically counting the total number of native plants. Abundance.exotic.plants: The total number of individual exotic plants located in the 1 by 1m quadrats that were randomly placed along the transect tape for 50m, alternating left and right. Exotic plants were differentiated as plants that originated from any other continent besides North America and were brought to Canada. The specifics on what each plant looked like were given in class. Each quadrat had a 2m gap between them. Abundance was measured by physically counting the number of exotic plants. Total.number.flowers (quadrat): The total number of observed flower heads located in the 1 by 1m quadrats that were randomly placed along the transect tape for 50m, alternating left and right. Measured by physically counting the number of plants located in the quadrat. Abundance.woody.plants: The total number of individual woody plants located within 0.5 meters of the 50m transect tape. A woody plant was defined as a tree that was over 1.5m in height. Abundance was measured by visually looking for a tree that was located within 0.5m of either side of the transect. Canopy.cover: The total amount of space the canopy took up, measured by standing beside each woody plant (tree taller than 1.5m), looking up, and visually observing how much of the canopy filled an 11cm by 6 cm rectangle made by our fingers. This was measured along the 50m transect line and was measured in percentage. Ground.cover: The total amount of space the vegetation on the forest floor, next to each woody plant (tree) took up. This was measured by visually observing how much of the vegetation filled an 11 cm by 6 cm rectangle made by our fingers. This was measured along the 50m transect line and was measured in percentage. Total.flower.numbers (transect): The total number of flower heads located around each woody plant (tree). This was measured along the 50 m transect line and was measured by physically counting the number of plants. Abundance.vertebrates: The total number of individual vertebrates (species with backbone) observed visually, in a 50-meter radius (measured through transect tape) for two 15 minute intervals. This included humans, however excluded us and anyone from our lab group (lab 3). Abundance.human: The total number of individual humans (excluding us and those from our lab section), observed visually in a 50-meter radius (measured through transect tape) for two 15 minute intervals. Abundance.invertebrates.observed: The total number of individual invertebrates (species without backbones) observed visually, in a 50-meter radius (measured through transect tape) for two 15 minute intervals. Abundance.invertebrates.pantraps: The total number of invertebrates entrapped in the soapy water of pan trap bowls. Six different pan trap bowls of alternating colours: Yellow, Blue, and White, (to attract different invertebrate species with the colours) were placed alternating along the transect tape for approximately 60 minutes. Each bowl was placed 3 meters a part along a 25m transect tape, and a quarter of each bowl was filled with soapy water. Abundance.invertebrates.sweeps: The total number of invertebrates caught in a sweep net. The sweep net was swept in a figure-eight motion for 50 meters along the transect tape. The net was held approximately one meter above the ground, and was swept for 10 replicates. Site Description: Danby grassland, York University Keele Campus, 2:30 - 4:00 pm, October 19, 2016, 20°C, Sunny/no clouds, slight wind, and 51% humidity in North York, Toronto, ON. There was vegetation and trees all around us. The lab was conducted by Amrit, Jasleen, Mary and Nyiesha . Method: Dataset 1: Herbaceous plants: 25, 1 by 1 quadrats were randomly placed, alternating left and right along a 50m transect tape, with a 2m gap between each. Each quadrat was approximately 1m away from the transect tape and were visually observed for the abundance of native plants (plants from Canada), exotic plants (plants from Europe), and flower heads. The transect tape and quadrats were both facing North-South of York University. Dataset 2: Woody plants: A 50m transect line was randomly placed facing North-South of York University. Along this 50m transect line, we visually observed the number of woody plants located within 0.5m of the transect. Woody plants were defined as trees taller than 1.5m in height. Also, with every woody plant found, canopy coverage and ground coverage were also calculated. Canopy coverage was estimated by observing the amount of tree canopy covering an 11 cm by 6 cm rectangle with our hand. Ground canopy was measured the same but with vegetation on the ground observed through an 11 cm by 6 cm rectangle with our hand. Additionally, the number of flower heads around the woody-plant (tree) were measured by physically counting any flowers observed. This data-set was repeated 25 times. Dataset 3: Vertebrates and Invertebrates: A 50 meter transect was placed facing North-South on the forest ground. Whilst standing at the absolute tip of one end of the transect tape, we visually observed for vertebrates, humans, and invertebrates for 2 repetitions, each for 15 minutes along the 50m radius. Vertebrates were defined as any organism with a backbone, including humans that were not from our lab. Humans were defined as any person seen who was not from our lab. Invertebrates were defined as any organism without a backbone (mainly insects). Dataset 4: Invertebrates: 6 pan traps of alternating colours (Yellow, Blue, and White) were placed along a 25m transect tape. Each pan was placed 3 meters apart and were a quarter filled with soapy water. Each pan was left alone for approximately 38 minutes before observing the abundance of invertebrates in each trap. Each pan trap represented 1 replicate for a total of 6 trials. Following North-South along the 50 meter transect, a sweep net was swept in a figure-eight motion in an attempt to catch any invertebrates. After walking for 50m, the net was observed for any invertebrates that might've been inside. The sweep set was held approximately 1m above the ground and was replicated 10 times. Hypothesis: (Dataset 3: Vertebrates and Invertebrates) The lower the abundance of vertebrates and humans, the higher the abundance of invertebrates observed. This is due to fewer disturbances and interference from vertebrates (including humans), who have the ability to negatively harm the niche of invertebrates. Negatively harm through either, being predators, or by competing for resources, or by overall destroying their niche. Predictions: 1) As the abundance of vertebrates (the total number of individuals found) decreases, it increases the abundance of invertebrates. (negative correlation) 2) As the abundance of humans decreases, it increases the abundance of invertebrates. (negative correlation)

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,937
Score d'incertitude au seuil0,839

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,004
Études des sciences et des technologies0,0010,000
Communication savante0,0030,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,4110,457

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 Opus0,015
Tête enseignante GPT0,206
Écart entre enseignants0,191 · 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

Classification

machine, non validée

Prédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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