High levels of anatomical and physiological leaf plasticity of <i>Ocotea odorifera</i> (Lauraceae) in response to different radiation intensities
Bibliographic record
Abstract
We investigated morpho-physiological plasticity in the leaves of Ocotea odorifera trees growing under different environmental conditions in a fragmented forest. Microclimatic data were collected in a pasture matrix, forest edge, and forest interior in three Atlantic Forest fragments. Leaf gas exchange, as well as leaf anatomy in paradermal and transversal sections, were evaluated in individuals in these environments. Radiation intensity and temperature had higher effects in the pasture matrix compared with the forest interior and forest edge. However, internal portions of the canopy did not exhibit significant variation in radiation or temperature. External canopy leaves exhibited higher net photosynthesis in plants from the pasture matrix, but there was higher net photosynthesis for internal leaves from the shaded forest interior. Variation in net photosynthesis and other gas-exchange parameters were related to thinner shade leaves in forest interior individuals, and internal leaves with lower stomatal density. Although the pasture matrix, forest edge, and forest interior experienced differences in light and temperature, leaf position in the canopy produced microclimatic variations, which modified gas exchange and anatomy. Thus, O. odorifera shows the potential for reforestation programs because of its high leaf plasticity, which will enable it to overcome variations in light and temperature.
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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".