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Record W4415815396 · doi:10.5558/tfc2025-020

Contemporary Issues in Québec’s Temperate Forest — Part 2: Biological Invasions

2025· article· en· W4415815396 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Forestry Chronicle · 2025
Typearticle
Languageen
FieldChemistry
TopicPlant-Derived Bioactive Compounds
Canadian institutionsMinistère des Ressources naturelles et des ForêtsMinistère des Ressources naturelles et des Forêts (Québec)
Fundersnot available
KeywordsYellow birchBeechTemperate climateTemperate rainforestBiodiversityIntroduced speciesTemperate forestIndigenousAceraceae

Abstract

fetched live from OpenAlex

This paper is the second in a series on the topic of contemporary issues in Québec’s temperate forest. It considers biological invasions that may either cause new and significant mortality among indigenous trees or substantially alter those species’ regeneration processes in the forest. Our review of government authority websites and scientific literature led us to identify 11 species that are vulnerable or highly vulnerable to exotic or emergent pests, 14 that are less vulnerable and 11 in an intermediate situation. The most vulnerable species do not include Québec’s three most abundant temperate hardwood species, namely sugar maple ( Acer saccharum Marsh.), red maple ( Acer rubrum L.) and yellow birch ( Betula alleghaniensis Britt.). They do, however, include certain maple forest companion species. We also identified three animal groups, two tree species, three shrub species and five herbaceous species groups that, if they were to invade the forest, could have significant consequences for entire stands as opposed to specific tree species, by disturbing the undergrowth. Invasions such as these enhance the risk of losing biodiversity and forest productivity, thereby making productivity less predictable and creating challenges for assisted tree migration initiatives. On the other hand, they offer a potential opportunity for mitigating the invasiveness of certain other species such as the American beech ( Fagus grandifolia Ehrh.).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.825

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 science0.0010.000
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 head0.063
GPT teacher head0.278
Teacher spread0.214 · 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