Ecological and evolutionary consequences of ploidy-driven trait variation: insights from <i>Saxifraga oppositifolia</i> L.
Bibliographic record
Abstract
The ecological and evolutionary consequences of ploidy-driven trait variation, particularly for autopolyploids, remain poorly understood. Saxifraga oppositifolia L. (purple saxifrage) is a highly successful arctic-alpine plant species with significant genetic and phenotypic variation potentially related to autopolyploidy. Over the past decade, we have accumulated knowledge of S. oppositifolia through student projects at the University Centre in Svalbard. Building on this knowledge, we initiated the long-term “SO-field study” in 2018 including 768 permanently tagged plants screened for ploidy level, trait variation and environmental associations. Here we summarize main findings from unpublished student projects, consolidating and extending these findings with the available data from the ongoing SO-field study, containing 63% diploids, 16% triploids, and 21% tetraploids. Our results support that Svalbard is a mixed-ploidy contact zone, where ploidy is strongly associated with certain traits, including growth form, leaf mass area, flower investment, seed production and habitat. Autopolyploidy has significantly influenced both ecology and evolution of S. oppositifolia and needs to be accounted for when autopolyploids are used as a study species or evaluated for management purposes. Our findings suggest considerable re-interpretation of former research and pave the way for new inquiries and hypotheses to be tested within this framework.
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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 | 0.003 |
| 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".