Macroaggregate-associated physical and chemical properties of a no-tillage chronosequence in a Miamian soil
Bibliographic record
Abstract
No-tillage (NT) has been shown to increase macroaggregate stability and soil organic carbon (SOC). Our objective was to quantify the effects of NT duration and slope position on macroaggregate-associated bulk density (ρb), available water content (AWC), hydrolysable and nonhydrolysable OC concentrations in fields under corn rotation. All fields were on Oxyaquic Hapludalfs (Alfisols) classified as Miamian soil. Macroaggregates (5-8 mm diameter) were separated from triplicate soil samples collected from 0-10 and 10-20 cm depths of the summit slope (SS) and toe slope (TS) positions from four fields under NT for the past 15 yr (NT15), 10 yr (NT10), 6 yr (NT6) and also from a chisel-tilled field (NT0) to a depth of 20 cm. At the SS position, macroaggregate-associated hydrolysable and nonhydrolysable OC were greater for NT15 than NT6 in both depths. At the TS position, hydrolysable OC was greater for NT10 than NT6 in the 0-10 cm depth only. Macroaggregate-associated AWC and hydrolysable OC were positively related to the NT duration, especially at the SS position. A positive correlation was obtained between water-stable macroaggregates (WSA) and hydrolysable OC at both depths and slope positions. A negative correlation between WSA and nonhydrolysable OC was observed at SS and TS positions in the 0-10 cm depth only. The increase in aggregate-associated hydrolysable OC at the SS position of fields under NT for 15 yr indicates that C accretion in macroaggregates is likely dependent on the continuation of NT.Key words: No-tillage, macroaggregate-associated available water content, hydrolysable carbon, nonhydrolysable carbon, macroaggregate stability
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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) | 0.000 | 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".