AN EXAMINATION OF THE INVASION PATTERN AND SITE PREFERENCES OF THE INVASIVE SHRUB EUROPEAN BUCKTHORN (RHAMNUS CATHARTICA L.) IN LONDON, ONTARIO
Bibliographic record
Abstract
European buckthorn (Rhamnus cathartica L.) is an invasive shrub that was introduced to North America as an ornamental and medicinal plant. European buckthorn is dispersed by birds and flowing water, harbours serious plant pests and diseases, and forms dense stands that compete with native vegetation through an extended leaf-out season. European buckthorn is difficult to remove once established because of long-lived seeds and an ability to resprout after mechanically removal. The purpose of this thesis is to examine European buckthorn’s invasion pattern and site preferences in London, Ontario. Sampling and historical data supported the hypothesis that Medway Creek was closer to the inoculation site. Two thousand two hundred and sixty- five (2265) European buckthorn plants were counted in three sampling sites. European buckthorn was positively correlated with plants commonly found in secondary growth forests. Buckthorn also preferred clay soils, closed forest canopies, and reduced forest groundcover. It was unclear whether buckthorn was most strongly associated with floodplain or slope communities. Because the costs and ecological damages associated with invasive plants increase over time when left unaddressed, controlling European buckthorn in London should be a priority for local land managers.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".