Chemical ecology of lichens and species composition of cryptogams among three boreal habitats in eastern Manitoba
Bibliographic record
Abstract
The Precambrian Shield supports a diversity of cryptogams where environmental conditions predict their distribution. Moisture and light are thought to affect secondary metabolite production in lichens, leading to a hypothesis of chemical communities that may be independent of species assemblages. Hypotheses were that habitats will be characterized by lichen secondary metabolites and that lichen and bryophyte species composition will also distinguish among habitats. Lichens and bryophytes were sampled from six quadrats from each of two sites within each of three habitats (rock faces, rock outcrops, and forest floors). This study showed strong relationships among species assemblages, secondary metabolites, and types of habitat. Species abundance, cover, and species richness also differed among habitats. Individual secondary metabolites could differentiate among three habitats, suggesting that certain metabolites such as usnic and squamatic acids would more likely be found in habitats such as dry exposed rock outcrops than in moist shaded habitats. Individual analyses suggested that some secondary metabolites may serve multiple functions in a habitat, such as triterpenes, while others may have more specific functions, such as salazinic acid, where environmental features may be important for secondary metabolite production. Further investigation of specific metabolites is needed to understand their roles in adaptation.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".