Leaf anatomy and chlorophyll content of 12 woody species in contrasting light conditions in a Bornean heath forest
Bibliographic record
Abstract
This paper reports the anatomy, chlorophyll content, and some optical properties of leaves of 12 tree species in sun and shade conditions in a tropical heath forest in Brunei (northern Borneo). These plants displayed some xeromorphic leaf features, e.g., relatively low stomata density compared with lowland rain forest plants and sun leaves usually with two or more layers of palisade cells. Most species displayed substantial plasticity in leaf structure and chlorophyll concentration in response to different light conditions. Dipterocarp leaves had thinner palisade mesophyll and greater spongy to palisade thickness ratios than non-dipterocarp leaves. The chlorophyll content per unit leaf area of the species studied was within the range quoted for American tropical rainforest trees. Their chlorophyll a : chlorophyll b ratios, however, were much lower than those for forest plants in humid temperate and subtropical regions. This could be attributed to the regular soil water deficits of this forest. Despite large variation in leaf structure and chlorophyll concentration among species and within species on the two distinct conditions, their absorptance of photosynthetic active light was similar. Chlorophyll concentration per unit weight was adversely and nonlinearly related to leaf thickness for the data pooled from all species in both light conditions (R 2 = 0.49, P < 0.001).Key words: chlorophyll concentration, leaf anatomy, kerangas, light acclimation, leaf plasticity, tropical heath forest.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".