Stem orientation is related to growth rate, leaf dimensions, and the deciduous habit in temperate forest saplings
Bibliographic record
Abstract
The orientation of the central stem is a key component of tree architecture. Stem orientation was related to extension rate in saplings growing in light conditions ranging from forest understories to large openings in 11 deciduous angiosperms, 1 evergreen angiosperm, and 2 evergreen conifers in the Appalachian Mountains of the southeastern United States. Most of the deciduous species showed pronounced differences between arced, dorsiventrally symmetric forms in slow-growing, shaded saplings and erect, radially symmetric forms in fast growing, sunlit saplings. In contrast, the evergreen species showed little or no shift in stem orientation in relation to growth rate and tended to be more erect in shade than the deciduous species. Evergreen saplings studied at other sites were also more erect in shade than the deciduous species studied here. Within the deciduous species, the degree of arcing in shade declined with increasing leaf size and petiole length. These results, involving two congeneric pairs, suggest that stem orientation is related more to leaf dimensions and leaf habit than to taxonomic classification per se. The positioning of a single cohort of nonoverlapping leaves in shaded deciduous saplings may increase the efficiency of light interception in arced forms, as compared with evergreen saplings, where new leaves must be positioned in relation to older leaf cohorts.Key words: tree architecture, growth rate, stem orientation, morphological plasticity.
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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".