Biomass allocation and shade tolerance in tree species of the Atlantic Forest
Bibliographic record
Abstract
Light availability is an important factor determining plant morphology and niche occupation in tropical forests. In this study, we tested whether seedlings that differ in shade tolerance also differ in the way they partition their resources among stems and leaves. The morphology of the first pair of leaves (eophylls), cotyledons, stems, and seeds of 14 species (five shade tolerant and nine gap dependent) from the Atlantic Rainforest (Brazil) were analyzed. Significant differences were observed in the patterns of biomass allocation between the two ecological groups; shade-tolerant species invested more in total biomass, cotyledons, and leaves, whereas gap-dependent species allocated more biomass to stems and vertical growth. In conclusion, shade-tolerant and gap-dependent species invest more in photosynthesis and vertical growth, respectively. Apparently, these characteristics specific to each group are not related to the life history of the species studied but to the strategies developed to the environment in which they were inserted.
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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".