Lichens and Allied Fungi Added to the List of Rare Species Inhabiting the Carden Alvar Natural Area, Ontario
Bibliographic record
Abstract
Alvars are globally rare ecosystems occurring mostly in the Great Lakes region of North America and the Baltic region of northern Europe. They are defined by calcareous rock (dolostone, limestone, or marble) plains with exposed pavement, thin soil with grasslands, or forested areas that are usually stunted. One of the largest alvars in the Great Lakes region is the Carden Alvar Natural Area (Carden), which is in southern Ontario ∼100 km NNE of Toronto and ∼25 km E of Orillia. In recent decades, recognition of the rare and uncommon species inhabiting Carden has led to the protection of 3035 of its ∼12,873 ha (24%). To continue to better understand Carden's wildlife, the first detailed survey of the lichens and allied fungi was completed in 2015 and is presented herein. The study was conducted on protected lands and revealed 199 species in 99 genera. Twenty-five species are provincially listed as S1 (critically imperiled), S2 (imperiled), or S3 (vulnerable) by the Ontario Natural Heritage Information Centre, several species represent major range extensions in the province, and a high number (17) of species with cyanobacteria as their primary photobiont were discovered. Results from this study can assist land managers in Carden to identify areas of high conservation value, develop sound conservation strategies, and justify the purchase or donation of additional property for conservation purposes.
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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 | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".