Lichens and allied fungi of Sandbar Lake Provincial Park, Ontario
Bibliographic record
Abstract
Sandbar Lake Provincial Park (Sandbar Lake) covers 8053 ha in the boreal forest in northwestern Ontario. Within the park boundary are natural forests representative of those in the region, as well as forests that are heavily disturbed from resource extraction activities, which are prevalent in northwestern Ontario. The lichen biota in this part of the boreal forest is known to be rich and abundant, but lichen diversity is also known to be negatively impacted by disturbances (e.g., timber harvesting, mining, and climate change). Therefore, lichens can be used to monitor the effects of these disturbances, but baseline data are required. Here, we present the results of the first detailed inventory of the lichens and allied fungi of Sandbar Lake. We report 139 species in 69 genera from 16 sites that represent all macrohabitats present in the park. Seven species have a provincial conservation status rank from S1 to S3 (critically imperilled to vulnerable), and one species, Arthrosporum populorum, has previously been collected only once in northwestern Ontario. Our results fill biogeographic gaps for many species and allow lichens to be used as biomonitors during further study at Sandbar Lake. We show that Sandbar Lake has important conservation value, and our data provide an opportunity for further study in an area with no previous research on lichens.
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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 | 0.003 |
| Science and technology studies | 0.004 | 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".