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Record W3173392078 · doi:10.14288/1.0398156

Monitoring and Mitigating Reed Canary Grass in Stanley Park, BC

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

Bibliographic record

VenuecIRcle (University of British Columbia) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeographyForestryEnvironmental science

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.815

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.164
Teacher spread0.151 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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