A discreet invasion: distribution, origins, and expansion of the European slug complex <i>Arion subfuscus</i> s.l. in Quebec
Bibliographic record
Abstract
Accurate identification of species and their geographic origins is crucial to assess the impacts of exotic species. This is particularly relevant when multiple introductions are suspected. Species complexes are therefore problematic, as different species can be treated as a single taxon. The highly diversified European complex Arion subfuscus (Draparnaud, 1805) s.l. is abundant throughout northeastern North America. However, surveys performed in the United States have reported a low mitochondrial diversity associated with a single species. To assess whether regions characterized by different human activities harbor different diversities, the taxonomic identities, distributions, and origins of the species of this complex in Quebec (Canada) were determined. The mitochondrial 16S rDNA gene was analyzed in 526 specimens from 69 locations. Both Arion fuscus (O.F. Müller, 1774) and Arion subfuscus (Draparnaud, 1805) s. str. (lineages S1 and S2) were detected. Arion fuscus was the most abundant species, contrasting with previous studies conducted in North America. An explosive range expansion occurred during the last 50 years. Moreover, the presence of different haplotypes confirmed multiple introductions of these species. These results emphasize the importance of not considering an exotic species complex as a single taxon, especially in regions with different human activities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".