Macrolichen community structure in boreal forested wetlands on the island of Newfoundland, Canada
Bibliographic record
Abstract
Forested wetlands provide important ecosystem services and vital habitat for numerous organisms. Epiphytic macrolichens are a common and abundant group of organisms in forested wetlands and, given their habitat specificity, they are of potential use as indicators of forested wetlands and spatial boundaries. However, little is known about the community structure of macrolichens in forested wetlands. To address this, I first tested for differences in macrolichen communities and habitat associations between wetlands and ecoregions. I found significant differences between forested wetland classes and ecoregions and identified potential indicator species. Second, I tested for differences in macrolichen communities among swamps, ecotones, and adjacent upland forests. I found that macrolichen community richness and diversity were highest in swamps and lowest in upland forests, and that macrolichen communities were significantly different among swamps, upland forests, and their ecotones. The results of this research highlight the potential use of macrolichens as indicators of forested wetlands and their spatial boundaries.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".