Influence of light and temperature on seed germination and ability of the endangered plant species <i>Sisymbrium cavanillesianum</i> to form persistent soil seed banks<sup>1</sup>
Bibliographic record
Abstract
The study of germination and soil seed bank ecology is of particular interest when dealing with threatened plant species, since it should provide essential information for designing effective conservation actions. Within this context, a comparative study on germination in response to light and temperature conditions simulating those in nature was carried out on the narrowly distributed endemic arable weed Sisymbrium cavanillesianum (Brassicaceae) and on the geographically widespread S. runcinatum. Seeds were periodically tested for germination from 0 month (freshly matured seeds) to 16 months from collection. The study was supplemented with an S. cavanillesianum seed soil-burial experiment and an assessment of the persistent soil seed bank of both Sisymbrium species in the natural habitat. Results revealed that S. cavanillesianum seeds may have physiological dormancy that markedly reduces germination of young seeds at high temperatures (32-18°C). In general, seeds of S. cavanillesianum reached higher final germination percentages than those of S. runcinatum, so seed-germination restrictions or difficulties should be rejected as a reason for explaining the rarity of S. cavanillesianum. Both the seed-burial experiment and the analysis of soil samples from the natural habitat showed that S. cavanillesianum has the capacity to form short-term persistent seed banks, which play a crucial role in the maintenance of populations of this threatened species periodically disturbed by agricultural practices.
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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 | 0.000 | 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) | 0.001 | 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".