Stress tolerance of rare and common moss species in relation to their occupied environments and asexual dispersal potential
Bibliographic record
Abstract
Summary Species rarity in mosses may be linked to narrow physiological tolerance and habitat specificity of established colonies and gametophyte fragments (i.e. fragments of stem apices). Stress tolerance and habitat light and moisture were compared for three rare and three common moss species. Observed habitat specificity was more likely to correspond to physiology in the common species. In particular, one common species,Mnium spinulosum, was limited by intolerance of high light conditions and is characteristic of deeply shaded conifer stands, while another,Bryum pseudotriquetrum, lacked desiccation tolerance and is typical of moist areas such as stream banks. However, the rare species,Mielichhoferia macrocarpa, which occurred in the darkest and wettest sites was not intolerant of high light or desiccation. The relationship between desiccation tolerance and habitat moisture (based on a mesic to xeric scale) was less clear than in prior bryophyte studies, suggesting that a more rigorous quantification of habitat moisture is needed. Contrary to predictions, the rare species did not have narrower physiological tolerances than the common species. The match between environment and physiology for common species probably results from their occupation of more of the potentially suitable sites. There may also be selection for broader physiological tolerance in rare species resulting from their greater reliance on asexual reproduction, which might explain their relatively high desiccation tolerance both as colonies and fragments.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".