Twig size-number trade-off among woody plants in Tiantong region,Zhejiang Province of China
Bibliographic record
Abstract
Aims The branch size-number trade-off among woody plants has implications for both the formation of plant architecture and biomass allocation in response to environment stresses.Our objective was to examine how the twig size-number relationship varies among woody plants in subtropical broad-leaved evergreen forests in south-eastern China.Methods The study site is located in Tiantong National Forest Park(29°52' N,121°39' E),Zhejiang Province,in Eastern China.We measured twig length,twig diameter,number of twigs and length and diameter of branches from which the twigs were sampled for 76 woody species in a 1-hm-2 plot.Standardized major axis(SMA) analysis was conducted to examine the quantitative relationship between twig size(cross-sectional area) and the number of twigs at a given twig size(twig intensity).Important findings A significantly negative allometric scaling relationship was found between twig intensity and its cross-sectional area.Under level-Ⅱ light exposure(LE-Ⅱ,40%-80% of the plant under direct light),ever-green species had a much higher twig intensity than deciduous species.However,there was no difference in twig intensity between these two life forms under LE-Ⅰ(40% ehxposure) or LE-Ⅲ(80% exposure).Higher twig intensity was found in evergreen species under LI-Ⅲ than under both LE-Ⅰ and LE-Ⅱ.In contrast,twig intensity of deciduous species was not different among any of the light exposure levels.Shrubs 4 m height had higher twig intensity than sub-trees and trees 4 m at a given twig size.We conclude that the twig size-number trade-off across woody plants in Tiantong was consistent with the Corner's rule(that describes the relationship between twig size and the number of twigs),but might differ among different life forms.Both evergreen species and shrubs are inclined to develop higher twig intensity,which indicates their adaptation to environment stress caused by limitations in light availability.
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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 | 0.001 |
| 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".