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Record W7125362174

Investigating Abiotic and Biotic Vertical Structures as a Potential Revegetation Strategy for Semi-Arid Subarctic Mine Sites, in Central Yukon Territory, Canada

2025· article· en· W7125362174 on OpenAlexaboutno aff
Benjamin F. Budzey

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
Fundersnot available
KeywordsRevegetationAbiotic componentSubarctic climateEcosystemSoil structureRestoration ecologyBiomass (ecology)ShrubAridHydrology (agriculture)
DOInot available

Abstract

fetched live from OpenAlex

Escalating ecosystem degradation has prompted global efforts in ecological restoration, particularly in post-mining landscapes where failure to establish functioning ecosystems can have adverse effects on adjacent ecosystems threatening biodiversity, food security, and water supply. Ecological restoration of mine sites located in subarctic boreal regions pose additional challenges due to semi-arid conditions, emphasizing the need for strategies to manage soil-water dynamics. This thesis studies the application of abiotic (i.e., artificial snow fences of different heights) and biotic (i.e., planted hedgerows of different native shrub species) vertical structures as a revegetation strategy for overburden (i.e., unconsolidated topsoil, subsoil, sand, gravel and rock removed during ore extraction) at a mine site in central Yukon Territory, Canada. The first study examines the influence of vertical structure type (i.e., abiotic vs. biotic), their height, and the distance from structure on soil volumetric water content, soil temperature, and the survival and growth of planted fireweed (Chamerion angustifolium) and Canada bluejoint (Calamagrostis canadensis) seedlings. Vertical structure effectiveness depended on structure type, height, porosity, and orientation, with structure type significantly affecting volumetric water content. Soil-water dynamics across the site strongly influenced the survival and growth of planted seedlings, with fireweed biomass showing trends with distance from snow fences. The second study examines the influence of vertical structure type, their height, and the distance from structure on soil volumetric water content, soil temperature, and the community composition of natural plant recolonization. Three years after reclamation, community composition varied significantly across the site, driven by soil volumetric water content, temperature, and gradients in overburden texture and nutrients. Although vertical structures did not significantly influence the plant community, distance-related trends suggested emerging effects of taller vertical structures on species cover and of structure type on species richness and diversity. Overall, multiple environmental gradients across the site strongly influenced natural recolonization at this stage of development, limiting the effects of the structures. Together the findings from both studies support the potential of vertical structures as a revegetation strategy by demonstrating their ability to modify the soil microclimate. This research highlights plant species suitable for boreal revegetation and the aptitude of plant species to naturally recolonize overburden at subarctic mine sites. However, species cover, richness and diversity remained below the typical range for boreal ecosystems three years post-reclamation, indicating that active intervention may be required to support long-term reclamation objectives.

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)0.000
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 score0.069
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.162
Teacher spread0.157 · 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
Published2025
Admission routes1
Has abstractyes

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