Spatial distribution patterns of specific root lengths of Avena sativa L. and Vicia villosa Roth in mixed-sowing grassland under density dependence in northern slope of Qilian Mountains
Bibliographic record
Abstract
The specific root length( SRL) reflects the feature of plants' adaptation to different environments. In this study,the mixed-sowing grassland of gramineous grass Avena sativa and leguminous grass Vicia vilosa with the density ratio of CK1( 1∶ 0),A1( 8 ∶ 2),A2( 6 ∶ 4),A3( 5∶ 5),A4( 4∶ 6),A5( 2∶ 8) and CK2( 0∶ 1) was established in the upper reaches of Qilian Mountains,Gansu Province,Northwest China in 2013,aimed to study the spatial distribution patterns of SRLs of the two mixed-sowing grasses. The results showed that the total root length and SRL of all mixed sowing groups of A. sativa were greater than those of V. villosa( P 0.05),but both species had no significant difference in underground biomass. With the decrease of A. sativa density and the increase of V. vilosa density in mixed-sowing grassland,the root lengths of both grasses increased gradually( P 0. 05),the root biomass decreased first and then increased( P 0. 05),the SRLs increased first and then decreased( P 0. 05). The SRLs of both species in the five mixed sowing groups gradually decreased with soil layers,and the superficial degree in fine roots of A. sativa was higher than that of V. villosa. The layering distribution of roots of current-year grass changed the resource allocation strategy,gradually optimized the utilization structure of resources,and maximized the utilization of soil resources.
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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".