Preferential Flow in Vertisolic Soils with and without Organic Amendments
Bibliographic record
Abstract
Core Ideas Matrix flow and macropore flow interact in Vertisols via lateral infiltration. Maximum water infiltration depths are greater in Vertisols with hog manure. Manure does not affect the mobilization of old soil water via macropore flow. Preferential flow has different agronomic and environmental effects in various soils. The objectives of this study were (i) to quantify matrix and preferential flow and (ii) to assess the effect of organic amendments on flow dynamics in agricultural Vertisols. Dye tracing and isotopic analysis were used to infer soil water infiltration and mixing on two plots: one treatment (with liquid hog manure) and one control. Results showed infiltration depths reaching 64 cm for the treatment plot and 45 cm for the control. For both plots, matrix flow was only observed in the top 10 cm, whereas preferential flow extended beyond the tillage depth. Dye traces provided evidence of lateral infiltration across macropore–matrix boundaries, while post‐experiment soil water averaged δ2H = −15.1‰ and δ18O = −118.9‰, hinting at old water mobilization via macropore flow. The potential impacts of these results on chemical transport should be validated across different soils and environmental conditions.
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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 | 0.001 | 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".