Responses to light changes in tropical seedlings of the Brazilian Atlantic rainforest tree species Cecropia glazioui (Cecropiaceae) and Cedrela fissilis (Meliaceae)
Bibliographic record
Abstract
This study analysed the behaviour of Cecropia glazioui Sneth. and Cedrela fissilis Vell. seedlings across a 2–50% full sun light gradient. The morphological adjustments of the seedlings to the different light regimes were interpreted as means of light interception in low light and avoidance of water stress in high light conditions. Cecropia seedlings showed greater trait plasticity at the 2–15% light interval, whereas Cedrela seedlings showed a slight tendency to present greater trait plasticity at the 15–30% light interval than the 2–15% interval. The seedlings of both species did not fully acclimate to decreasing light, showing lower values for the mean relative growth rate (RGR) components, leaf area ratio (LAR) and net assimilation rate (NAR) than seedlings under constant low light, but acclimated to increasing light, showing higher values for RGR components than seedlings under constant high light. The general responses to light gradient in these two species indicate their relative tolerance and ability to grow at low and high light and provide traits used in coping with gap dynamics. The results also indicated that the two species differed in their shade tolerance.
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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) | 0.000 | 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 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".