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Record W3117657292 · doi:10.14288/1.0389955

Increasing Riparian Habitat and Ecosystem Function in Lost Lagoon through Shoreline Restoration

2020· article· en· W3117657292 on OpenAlexaboutno aff
Megan Bull, Luke Faulkner, Majella Liu, Elli Newman, Yang Tang

Bibliographic record

VenuecIRcle (University of British Columbia) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsRiparian zoneShoreEcosystemHabitatEnvironmental scienceGeographyEnvironmental resource managementRestoration ecologyEcologyGeologyOceanographyBiology

Abstract

fetched live from OpenAlex

Lost Lagoon is a shallow, brackish body of water located in Stanley Park, Vancouver and is visited by many park-goers each day due to its proximity to downtown Vancouver. Originally a coastal saltmarsh, Lost Lagoon was isolated into a freshwater impoundment by the construction of the Stanley Park Causeway in 1916. Due to its unnatural formation and periodic inflow of saltwater, Lost Lagoon has remained a low-productivity ecosystem, primarily occupied by invasive vegetation, fish, and herptile species. Additionally, the area is currently plagued by a variety of ecological issues including excessive sediment infilling and high quantities of contaminated runoff. The objective of this document is to propose a detailed restoration plan for Lost Lagoon which would involve deconstructing a portion of the ‘concrete beach’ located in the South-West section of Lost Lagoon and undertaking native planting. The restoration plan would create a more natural shoreline with a sustainable riparian habitat while still enabling community members and visitors to interact positively with the area. A methodology for this project was developed based on several restoration frameworks from the literature. As part of this process the current social, economic and ecological values in Lost Lagoon were identified. Also, a stakeholder consultation process was undertaken to ensure that as many points of view as possible are taken into consideration. Site monitoring was undertaken, and water quality data was collected to determine both the site and water conditions and used to guide plant selection and restoration strategy. Together with the restoration frameworks from the literature, data collection and analysis, as well as stakeholder values and opinions a restoration plan was developed. This plan was crafted to meet the following goals: • Increase native shoreline planting • Improve water quality • Increase habitat for flora and fauna • Reduce undesirable human-shoreline interactions This restoration proposal was developed in collaboration with and for the Stanley Park Ecology Society and is intended to be presented to the Vancouver Park Board for consideration.

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 score0.032
Threshold uncertainty score0.064

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 studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.157
Teacher spread0.148 · 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
Published2020
Admission routes1
Has abstractyes

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