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Record W4414980529 · doi:10.1016/j.tfp.2025.101044

Historical drivers of street tree species selection: A comparative archival study of Canadian prairie cities

2025· article· en· W4414980529 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTrees Forests and People · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
FundersCanadian Forest ServiceNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto Mississauga
KeywordsMonocultureTree plantingEcosystemEcosystem servicesUrban ecosystemIntroduced speciesUrban ecologyUrban forestry

Abstract

fetched live from OpenAlex

• We examined archival documents on street trees from five Canadian cities. • Desirable species were limited by their natural and nursery availability. • Aesthetics have evolved from large tree-lined streets to ornamental species. • Species-specific ecosystem disservices resulted in the shift from poplar to elm and ash. • Conflict with utilities contributed to the use of ornamental species over elm and ash. There is a long history of planting trees along streets in cities around the world. In many cases, only a few species were used at any given time, leading to localized monocultures that increase urban forest vulnerabilities. In North America, elm and ash were historically among the most dominant tree species, yet only a nascent body of literature has examined the factors that influenced their dominance. In this study, we examine historical street tree species selection in five Canadian prairie cities, an underrepresented geography in urban environmental history literature. Using grounded theory and inductive coding, we developed a conceptual framework that explains historical biophysical and socio-political drivers of tree species dominance. The first driver is desired tree species traits. These traits, in turn, are related to the second and third drivers , species-specific ecosystem services and disservices, which influence what species are planted, avoided, or removed once they reach maturity. The fourth and fifth drivers are species availability and species-specific pests and pathogens, which were the ultimate drivers determining what species were planted on city streets. In the five study cities, Winnipeg and Regina planted American elm and green ash soon after their planting programs began because they were readily available. Calgary, Edmonton, and Lethbridge originally planted native Populus species, but later shifted to the non-native American elm and green ash due to the ecosystem disservices of Populus species at maturity, including the production of fluff and conflicts between roots and underground utilities. Today’s street tree composition reflects these legacy planting decisions.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.320
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.256
Teacher spread0.228 · 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