Insights about wood density in Atlantic Forest ecosystems: spatial variability and alternative measurement
Bibliographic record
Abstract
Basic wood density (BWD) is a functional characteristic important to quantify carbon storage and is related to tree growth and its survival. We investigated BWD variability among tree species, populations, and forest types across the Atlantic Forest biome in Rio de Janeiro state, Brazil. We sampled and measured 576 trees of 83 species in 28 natural ecosystems in the Dense Ombrophilous Forest, Seasonal Semi-deciduous Forest, and the Restinga Forest. Stem wood from two different heights at each tree was acquired using a drill borer; discs were removed from branches in 20% of the height from 39 trees. BWD means increased from 0.42 for the most humid ecosystem to 0.675 g⋅cm−3 from the driest ecosystem. We identified changes in the wood as a result of climatic variables particular to different typologies, such as increased wood density in areas with lower precipitation and higher temperatures, were also observed within species, but with little difference in means. We identified three groups of species according to their BWD, different in mean height and diameter. The branches can be used to estimate tree wood density.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".