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Enregistrement W2212130727 · doi:10.6084/m9.figshare.1588851.v3

Effects of Sunlight Coverage and Soil Moisture Levels on Abundance of Plant Species

2015· article· en· W2212130727 sur OpenAlexaboutno aff
Wales Savannah

Notice bibliographique

RevueFigshare · 2015
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePlant Ecology and Soil Science
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSunlightAbundance (ecology)Environmental scienceWater contentEcologyGeographyBiologyGeologyAstronomyPhysics

Résumé

récupéré en direct d'OpenAlex

The purpose of the experiment was to determine the amount of plant species within each quadrat that was placed within grassland and relate them to the amount of sunlight and soil quality via moisture level. The data was collected on Monday October 19th 2015 from 3:00pm to 5:00pm at York Universities Danby Woodlot grassland (behind the forested part) located at 4700 Keele St in Toronto Ontario. It was 14 degrees outside and Sunny, the sun varied in position due to timing of experiment because it started to set off into the west. 2 quadrats were used to conduct the experiment; a quadrat is a tool used to calculate local abundance of individuals in a given area and works very well for stationary individuals such as plants. The quadrat was a 1 metre by 1 metre measurement of area. 120 quadrat replicates were used. The individuals that conducted the experiment were Sumera, Mustafa, Krystal and Savannah (me). Mustafa and I took one quadrat and conducted 60 replicates, 30 in open grassland near no trees and 30 on the edge of the grassland where trees were present. Sumera and Krystal took the other quadrat and did the same procedure. 6 steps were taken between each quadrat as per what the random number generator produced. A table was set up in a notebook with columns labelled # of Quadrat Replicates, Number of Plant Species, Soil Moisture Level, and Sunlight Coverage. This table was then transferred and duplicated into excel after the experiment was complete. All the variables used in table were Numerical, discrete. Number of plant species was interpreted through observation, a new species is determined if it looks nothing like the last species found within the quadrat, as in it had different colour or/and leaf shape or size. Only the number of recognizable taxonomic units was noted, not the actual names of each species of plant or number of how many individuals of that species were present. A scale was used to determine sunlight levels for the plants within each quadrat, 0 = 0%, 1 = 25%, 2 = 50%, 3 = 75%, and 4 = 100% coverage within the quadrat. This variable depended on the time of day, weather, and where the quadrat was situated in the grassland (by trees vs. in open). Estimations were given in this case to the quadrats that would normally get full sunlight, such as those found in the middle with no trees around them but because of the time of day (4pm sun is starting to set) was not getting as much as usual. Soil moisture levels were also determined by a scale, 0 equals completely dry, 1 is semi-dry, 2 is semi-wet and 3 is moist. The soil moisture level depended on rain and sunlight coverage. It had rained 24 hours before the data was collected and it was a sunny and fairly warm day. To determine what number on the scale each quadrat sample should be given, a sample of the soil was tested with our hands from the both the edges of the quadrat and the middle for consistency. This same procedure and definition of variables was used for all 120 quadrat replicates and data was noted in the table.

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 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)0,000
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,873
Score d'incertitude au seuil0,993

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
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 ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0080,000

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 Opus0,024
Tête enseignante GPT0,207
Écart entre enseignants0,183 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2015
Routes d'admission1
Résumé présentoui

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