Ecological facets of plant species rarity in rock outcrop ecosystems of the Gulf Islands, British ColumbiaThis paper is one of a selection of papers published as part of the special Schofield Gedenkschrift.
Bibliographic record
Abstract
Rare plants and their habitats are integral to the conservation of biodiversity in many areas. With increasing habitat destruction and fragmentation, there is an urgent need to identify elements of diversity that are at risk, to adequately address conservation priorities, and successfully implement management strategies. In this research project, plant species rarity in rock outcrop ecosystems occurring on the Gulf Islands in southwestern British Columbia was examined at 13 study sites (3000 m2area examined per site). Bryophytes comprised the largest portion of rare taxa; 18 of the 20 provincially rare taxa were mosses, including two species new to Canada. Challenges facing rare plant species conservation were considered from a landscape management perspective. Rock outcrops represent non-equilibrial, primary successional systems; some form of perpetual large-scale disturbance (e.g., climate and (or) grazing) may be integral to maintaining these ecosystems, their constituent habitats, and the occurrence of many rare moss species. In contrast with vascular plants, which are of focal concern in relatively deeper-soiled Garry oak meadows (i.e., native herbs and grasses), bryophytes have limited competitive ability. As such, the rare bryophytes of rock outcrop ecosystems are likely to be highly sensitive to successional development within sites (i.e., factors reducing the availability of early successional habitats) that may arise through land use modifications and (or) changes in local climatic conditions related to global warming.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".