Bibliographic record
Abstract
The role of propagule availability in determining community composition is poorly understood, and is infrequently investigated for bryophytes. In addition the extent to which spore availability is limited by dispersal is unknown. If spore availability is not dispersal-limited, local and regional spore dispersal and wind availability may affect spore availability at any point. In this study, the abundance of Sphagnum spores was investigated within the context of a successional sequence where Sphagnum spp. invade a feather moss community in black spruce boreal forests of northwestern Québec, Canada. Spores were trapped and grown in a greenhouse to protonemal stage to estimate the abundance of spores within three sites that varied in Sphagnum abundance, and stand density (a surrogate for wind intensity). Sporophyte production was also investigated in one site where individual Sphagnum colonies could be distinguished. Spores were less abundant in sites with less ground cover of Sphagnum present in the community, although spores were trapped in all sites. Spore abundance was inversely correlated with local stand density, indicating that wind intensity may play a role in limiting dispersal. Sporophytes were produced in colonies that were larger and had greater access to light. These results suggest that Sphagnum invasion into young dense forests may be partially limited by spore dispersal, although the availability of germination substrates may also play an important role.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".