Influences of Interplanting Herbage on the Soil Respiration of Apple Orchard in Weibei Loess Plateau
Bibliographic record
Abstract
In order to understand the effects of interplanting herbage on the soil respiration of apple orchard in Weibei Loess Plateau,three different field treatments including clean tillage,interplanting Trifolium repens L.and interplanting Coronilla varia L.in apple orchard were designed and conducted from 2005 to2012.Then,soil respiration rate was measured with an SR1 LP chamber(Qubit Inc.,Canada) from April to November in 2012.Results show that the daily variation of soil respiration rate presents single peak curve for all tested treatments during April to June and August to November,although the peak value of interplanting systems lags at the period from April to June or brings forward in November.Simultaneously,the diurnal variation of soil respiration was obviously different among treatments in July;seasonal fluctuation of soil respiration rate presents a bimodal peak curve.Meanwhile,the interplanting herbage plants significantly improve soil respiration and there is significant difference among different months(P0.05).The soil respiration is significantly related to the soil temperature of 5 cm soil layer,whereas there is no significant correlation between soil respiration and soil moisture.The relationship between soil temperature and soil respiration presents a quadratic function in orchard with interplanting herbage,and a power function in orchard with clean tillage.The interactive effects of soil temperature and soil moisture on soil respiration are higher than a single factor that can explain about 56 to 85 percent of the temporal variation of soil respiration.
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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 | 0.001 | 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".