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Enregistrement W3173392078 · doi:10.14288/1.0398156

Monitoring and Mitigating Reed Canary Grass in Stanley Park, BC

2021· article· en· W3173392078 sur OpenAlexaffabout
Hannah Bates, Marija Bozik, Chunyu Pan, Markus Thormeyer

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2021
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueBotany and Plant Ecology Studies
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésGeographyForestryEnvironmental science

Résumé

récupéré en direct d'OpenAlex

Reed canary grass (Phalaris arundinacea), abbreviated RCG, is an invasive species that threatens native flora and fauna via competition and alterations to the abiotic environment. In the past few years, this invasive plant has rapidly spread throughout parks in Vancouver, BC, including Stanley Park, which is bordered by downtown, English Bay and the Burrard Inlet. The Stanley Park Ecology Society (SPES) strives to uphold the ecological integrity and biodiversity of Stanley Park; thus, being able to monitor and manage the spread of RCG properly is of high interest and priority. Our team will assist in their mission by providing the following deliverables in this report: 1) an up-to-date map of RCG abundance and distribution in the park, 2) a map showing areas where RCG growth and invasion is most susceptible based on abiotic, environmental factors, and 3) an RCG management plan including recommendations. These deliverables will help SPES locate areas of high priority for active management, understand where invasions are most likely to occur, and decide which management and/or monitoring techniques would work best for each area. The objectives satisfied by our project will gear invasive management practices in the park towards a customized plan that will increase the effectiveness of restoration approaches and ultimately improve the parks’ biodiversity. The invaded areas are categorized as low, medium, or high density, which was determined by their current abundance and distribution within Stanley Park from 2019-2021. Distribution data was collected by TREK students, SPES volunteers, and members of our team. Reed canary grass was found to persist in high densities near fresh-water bodies and trails and in lower densities further away from water bodies. This shows that the presence of fresh water has a large impact on the density of RCG. Susceptible areas were determined by predicting future behaviours of the species, based on abiotic factors such as sunlight availability, proximity to potential carriers, and hydrology. The data used to model the susceptibility included distance from water bodies, distance from trails, and LiDAR canopy cover. Highly susceptible areas were found in similar locations as high density areas, however not always near trails, possibly as areas away from trails were not fully surveyed in the field. RCG is most likely to continue spreading along the shorelines of Beaver Lake and Lost Lagoon (two large watersheds within Stanley Parkillustrated in light blue in Figure 2 under ‘Results’), as well as to forested areas with large breaks in the canopy. The growth patterns of RCG based on our research indicate that water and sun availability are most influential when considering the spread of the invasive species. We identified 22 reports and management plans published by global institutes and existing literature. Then we analyzed the materials by conducting a simple qualitative analysis. These methods provided us with the baseline to create specific management techniques for different sizes and RCG densities of patches which were outlined (Figure 4), with mowing recommended for larger areas and a combination of hand-pulling, mulching, and shading recommended for smaller areas. Aquatically-approved herbicide would also be a very effective control method, however this needs to be approved by the Vancouver Park Board. These objectives aim to decrease the spread of Reed canary grass within Stanley Park and increase the park’s biodiversity, following the consideration and implementation of the management plan by the Stanley Park Ecology Society.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,405
Score d'incertitude au seuil0,815

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
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 Opus0,012
Tête enseignante GPT0,164
Écart entre enseignants0,151 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2021
Routes d'admission2
Résumé présentoui

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