Effects of salinity and temperature on <i>ex situ</i> germination of the threatened Gulf of St. Lawrence Aster, <i>Symphyotrichum laurentianum</i> Fernald (Nesom)
Bibliographic record
Abstract
Abstract The threatened Gulf of St. Lawrence Aster, Symphyotrichum laurentianum Fernald (Nesom), is an annual coastal halophyte of the southern Gulf of St. Lawrence, Canada. We examined the effects of salinity (0–20 g/L) and temperature (16–30°C) on germination of S. laurentianum seeds over 32 days. The time‐course of germination was significantly affected by both salinity and temperature. At lower temperatures (16°C and 23°C), germination was inhibited by salt water at days 16 and 32. However, at 30°C germination rates after 16 days were highest at an intermediate salinity, whereas after 32 days germination was uniformly high in all salinity treatments. Overall, the effect of temperature on germination was much stronger than the effect of salinity. Delays in germination resulting from exposure to salinity or from low soil temperatures could set up strong size asymmetries between seedlings of S. laurentianum and the surrounding vegetation, leading to suppression of growing seedlings via shading. Because germination has the potential to be a significant population bottleneck for this seed‐dependent annual, conservation efforts should consider microsite suitability for germination in the management of natural populations and in the selection of sites for explants.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".