Differences of trade-off relationship among root forks and link length in Reaumuria soongorica on slopes of different aspects
Bibliographic record
Abstract
Trade-off is the basis of life history strategy theory. Elucidation of the trade-off between root forks and link length is important for understanding the phenotypic plasticity of plants under different habitat conditions. By using the Arc GIS-established regional digital elevation model( DEM),this paper studied the trade-off relationship between root forks and link length of Reaumuria soongorica at different slope aspects in a desert grassland on the northern slope of Qilian Mountains,Northwest China with the method of whole root system excavation. The results showed that the plant community density,cover,height and soil moisture content displayed a pattern of gradual increase,and the height,root-shoot ratio and root link length of R. soongorica displayed a pattern of gradual decrease,while the specific root length and root forks increased gradually with the slope aspect turned from south to west,east and north. The relationship between root forks and link length varied with the slope aspect: there was a highly significant negative correlation between the root forks and link length at north slope and south slope( P0.01),whereas the correlation reached a significant level at the east slope and west slope( P 0. 05). There was a trade-off in resource allocation between the root forks and link length. The resource allocation mode in roots by reasonable trade-off between root forks and link length with changes in slope aspect of habitat reflected the mechanism of biomass allocation and the adaptation strategy of R.soongorica populations under conditions of multiple competitions for resources in diverse habitats.
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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 | 0.000 |
| 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".