Pathways of Soil Phosphorus Transformations after 8 Years of Cultivation under Contrasting Cropping Practices
Bibliographic record
Abstract
The knowledge of P transformations is essential to understand the P behaviour in soils. Organic (P o ) and inorganic (P i ) P fractions were obtained from the 0‐ to 30‐ and 30‐ to 90‐cm layers of a Labarre silty clay (fine, mixed, frigid, Humic Cryaquept) by a sequential extraction. Barley ( Hordeum vulgare L.) monoculture and 3‐yr barley‐forage rotation as main plots, and two nutrient sources (mineral fertilizer and liquid dairy manure) as subplots were studied. Path analysis was used to describe soil P transformations between the falls of 1989 and 1997. Nutrient source was the main factor affecting P transformations in the 0‐ to 30‐cm soil layer, whereas crop rotation predominated in the subsoil. Pathways differed more for P o than for P i pools. In the 0‐ to 30‐cm soil layer, 86 to 97% of the variation in resin‐P was the direct effect of added P i The NaHCO 3 ‐P i and P o were sensitive to crop rotations and nutrient sources, and were transitory pools of soil P. The NaOH‐P i was a sink for added P i and a source of NaHCO 3 ‐P i Labile P i tended to store as NaOH‐P o , which was the sink for added P o and immobilized soil P i in the mineral fertilizer systems. Conversely, the NaOH‐P o was mineralized and contributed to labile P i in dairy manure systems. The NaOH‐P o acted as store of subsoil P o in the monoculture but was the main source of labile P in the rotation systems. The P transformations in this Cryaquept were strongly influenced by nutrient sources and crop rotations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".