Spore germination response to capsule size and smoke: co‐expression of bet‐hedging and best‐bet strategies in peatland mosses
Why this work is in the frame
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Bibliographic record
Abstract
Smoke-mediated spore germination in mosses is a fire-adaptive evolutionary trait that might control plant composition after fire. How capsule size, either alone or in combination with smoke, affects spore germination in peatland mosses remains unknown. We selected three peatland mosses, Sphagnum fuscum, S. squarrosum, and Polytrichum strictum and measured volumes of 40 capsules per species, categorizing them into large- and small-capsule groups. We then assessed spore diameters within each capsule group and examined how capsule size affects spore germination following smoke-water treatment. We found a positive correlation between capsule and spore size only in S. squarrosum. Spore viability was consistent across capsules in all species. Large-capsule spores had higher germination than small-capsule spores in Sphagnum. However, germination was slower in spores from large than small capsules in Sphagnum species, suggesting a trade off between germination percentage and germination speed. Smoke water enhanced germination speed in large-capsule but not in small-capsule spores in all species. Smoke water released dormancy in large-capsule spores of S. squarrosum and S. fuscum by 100 % and 45 %, respectively, which was significantly higher than that in small-capsule spores (33 % and 4 %). There was no such capsule size-dependent difference in P. strictum. The study suggests that the variation inspore germinability among capsules and consistency in smoke-responsive germination of spores, regardless of capsule size, represent dual expressions of bet-hedging (spreading germination time) and best-bet (germinating in best time) strategies in Sphagnum, enabling them to maintain population persistence in peatlands subject to natural and anthropogenic disturbances.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it