Effects of canopy on the sapling composition and structure in a subalpine old-growth forest, central Japan
Bibliographic record
Abstract
Species composition of the sapling bank and size structure of Abies saplings under different canopy conditions, such as the evergreen coniferous canopy of Abies spp. (evergreen canopy), the deciduous broad-leaved canopy of Betula spp. (deciduous canopy), and canopy gaps were examined in a subalpine old-growth forest of the northern Yatsugatake mountains, central Japan. Light levels tended to be lowest under evergreen canopies, higher under deciduous canopies, and highest in canopy gaps. The species composition and structure of conifer sapling (≥ 15 cm tall and dbh < 5 cm) banks varied with the canopy conditions. Abies mariesii saplings were the exclusive dominants under both evergreen and deciduous canopies and in canopy gaps. A. veitchii saplings were subdominant, and Tsuga diversifolia and Picea jezoensis var. hondoensis saplings were few under all canopy conditions. In canopy gaps, the relative density of A. veitchii saplings was highest and that of A. mariesii saplings was lowest under canopy conditions. A. veitchii saplings might thus outcompete A. mariesii saplings in canopy gaps. The sapling height distributions of Abies spp. were different depending on light conditions; they were L- or reverse J-shaped at lower light levels and bell-shaped at higher light levels. Species composition of the sapling bank and the size structure of Abies saplings are considered to be influenced not only by the difference between closed canopy and canopy gaps, but also by the difference between evergreen and deciduous canopies due to the different light conditions.
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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".