Genetic variation in <i>Silene acaulis</i> increases with population age
Bibliographic record
Abstract
This study examined the relationship between genetic variation and the mean age of individuals within populations of the alpine cushion plant Silene acaulis (L.) Jacq. along a chronosequence on a glacier foreland in the Central European Alps. We studied 67 individuals of S. acaulis from four populations located at 2390, 2530, 2680, and 2820 m a.s.l. on the glacier foreland and applied a combined approach of growth-ring analysis and individual size measurements to determine the mean age of individuals within populations. Genetic variation was studied using amplified fragment length polymorphism analysis. The mean age of individuals within populations ranged from 11 to 20 years and increased with decreasing altitude toward the older stages of the chronosequence, reaching a maximum age of 50 years. According to regression analysis, genetic variation increased slightly from early to late successional stages and was associated with the mean age of individuals within populations. The results suggest that genetic variation in S. acaulis depends on the mean age of individuals within populations, and emphasize that both species diversity and genetic diversity in plant species can increase during succession on glacier forelands. Integration of age determination methods proves to be a promising approach in the analysis of genetic variation in plant species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".