Functional ecology of ecotypic differentiation in the Californian serpentine sunflower (<i>Helianthus exilis</i>)
Bibliographic record
Abstract
* Here, we examined phenotypic differences between locally adapted serpentine and riparian populations of the serpentine sunflower Helianthus exilis from northern California, USA. * Within a common environment, plants from serpentine and riparian sites were grown in regular potting soil or serpentine soil. Physiology, morphology, phenology and fitness-related traits were measured. * Overall, riparian plants grew more rapidly, attained a larger final size, produced larger leaves, and smaller flowering heads. Riparian plants also invested less in root biomass and were more water-use-efficient than the serpentine plants. Serpentine and riparian plants also differed in leaf concentrations of boron, magnesium, sodium and molybdenum. * These ecotypic differences suggest contrasting adaptive strategies to cope with either edaphic stress in serpentine sites or intense above-ground competition at riparian sites. There was a significant population origin x soil type crossing interaction in one fitness trait (average dry weight) that mirrored local adaptation previously documented for these riparian and serpentine ecotypes. However, because all other fitness traits did not exhibit this crossing interaction in our common garden study, it is possible that phenotypic differences underlying local adaptation may be amplified in the field as a result of biotic and abiotic interactions.
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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 | 0.000 |
| 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 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".