Responses of Stellera chamaejasme twig and leaf traits to slope aspect in alpine grassland of Northwest China.
Bibliographic record
Abstract
The relationship between leaf size and twig size reflects the relationship between plant xylem and its supported photosynthesis area allocation ratio,and the variation of the relationship between leaf and twig growth reflects the plant adaptation mode to heterogeneous environment. By using the ArcGIS-established regional digital elevation model( DEM) for a alpine grassland on the northern slope of Qilian Mountains,Northwest China,and by abstracting the slope aspect data of the study area,this paper studied the relationship between the leaf and twig growth of Stellera chamaejasme population at different slope aspects with the method of standardized major axis estimation( SMA). With the slope aspect changed from south to east,west,and north,the leaf area,leaf number,and twig length of the S. chamaejasme all presented an increasing trend. On all slope aspects,the leaf number,leaf area,and twig length existed allometric relationship, and the growth speed of twig length was greater than that of leaf number and leaf area. With the slope aspect changed from north to east,west,and south,the allometric slope of leaf number and twig length increased,but that of leaf area and twig length decreased. Habitat had significant effects on the leaf and twig growth of S. chamaejasme. Northern slope had more suitable habitat condition for S. chamaejasme growth,while southern slope made the twig and leaf of S. chamaejasme become smaller,and made the twigs per unit length support more leaves due to the soil moisture shortage.
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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 | 0.000 | 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) | 0.001 | 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".