Relationships between fruit production and branching in monocarpic shoot modules of<i>Rhododendron lapponicum</i>
Bibliographic record
Abstract
:Rhododendron lapponicum is an ericaceous clonal dwarf shrub in which vegetative growth largely coincides with the formation of flowers and fruits. We used a flower-removal experiment and a descriptive data set to look for relationships and potential trade-offs between vegetative growth, i.e., branching, and fruit production in two contrasting subarctic populations (growing at low and high altitude). The two sites are similar in most respects and differ mainly in that the higher site has lower temperatures and a shorter growing season. We predicted that trade-offs between branching and fruit production would be less marked in a high-altitude population because at lower temperatures reproductive activities could be less resource dependent. At lower altitudes, where temperatures are higher, there would be competition for nutrients between fruiting and branching; hence, a trade-off between these two activities would be more obvious. In both populations about 80% of all new shoot modules were produced by reproductive shoot modules. We found evidence for a [linear] trade-off in the experimental study only, whereas the descriptive data set did not show any consistent indications of trade-offs between branch and fruit production. The high-altitude population showed several characteristics indicating that this population gave priority to vegetative growth over sexual reproduction. The data we present is a typical example of a case where co-variation in size and resource economy among modules masks potential trade-off patterns.
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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".