Effects of mixedwood canopies on conifer advance regeneration in a subalpine old-growth forest in central Japan
Bibliographic record
Abstract
:We investigated the effects of mixed conifer-deciduous canopies on the spatial patterns and growth of understorey saplings of dominant subalpine evergreen conifers. The distributions of Abies mariesii and of Abies veitchii saplings were significantly clumped at the microsites north of canopy trees of the deciduous Betula ermanii. Because irradiance comes from the south, such microsites experienced more light during the leafless period of B. ermanii, which improved the growth of Abies saplings. Moreover, the shading intensity of B. ermanii was less than that of conifers even in the season when the canopy was entirely closed. Therefore, the light conditions of such microsites appear to have a favourable influence on the growth and survival of Abies saplings, determining the spatial location of shade-tolerant Abies saplings in the understorey. Consequently, this study suggests that deciduous-canopy trees favour the advance regeneration of shade-tolerant conifers by providing the preferable growing microsites in the understorey of a mixedwood subalpine forest.
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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".