Environmental drivers of bryophyte distribution and habitat preference in <i>Sphagnum </i>peatlands of Eastern Canada
Bibliographic record
Abstract
The concept of habitat niche describes species distribution, aids in analyzing community structure, function, and diversity in changing environments, and guides peatland restoration and conservation efforts. Information on peatland sedges and bryophytes is available for Western Canada, but the habitat niche of peatland bryophytes is minimally described in Eastern Canada. Using data from 1403 quadrats in 168 Sphagnum-dominated peatlands across three climatic regions, the habitat preferences of dominant bryophytes were characterized along several environmental gradients. Sphagnum magellanicum complex, S. capillifolium and S. fuscum were the most widespread bryophytes in the studied peatlands in terms of frequency, and when present, S. rubellum dominated coverage. Bryophyte species distribution is mainly controlled by water surface chemistry (pH, K, Na, Ca, SO 4 -2 , Al, Fe), macroclimatic conditions (total rain, seasonal aridity index, biotemperature) and shading by vascular plants. Seven ecological groups were identified with hierarchical clustering, pooling 37 bryophytes, 38 vascular plants and three ground covers (bare peat, litter, open water). Tree and lichen abundance were the main variables differing in Sphagnum-dominated peatlands across climatic regions in Eastern Canada. This understanding aids in preserving and restoring vital ecosystems, guiding informed decisions and proactive measures to mitigate climate change impacts on biodiversity and ecosystem functioning.
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) | 0.001 | 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".