Estimating and mapping the carbon saturation deficit of French agricultural topsoils
Bibliographic record
Abstract
Abstract The concept of soil organic C (SOC) saturation suggests that the quantity of stable SOC is limited and determined by the amount of fine particles (clay + fine silt, Clay + fSilt). The difference between the theoretical SOC saturation value and the measured SOC one for the fine fraction corresponds to the soil’s saturation deficit and may represent the potential for SOC sequestration in a stable form. We calculate the saturation deficit of French arable soils based on the national soil test database and using the saturation equation. For the whole database ( n = 1 454 633), the median saturation deficit was 8.1 gC/kg and this generally increased with the Clay + fSilt content to reach a maximum of 500 g/kg. National mapping of the SOC saturation deficit allowed investigation of spatial variation and controlling factors. Saturated soils were found in localities with specific land use (grassland, meadows) or farming systems (livestock production with high manure production). Smaller deficits occurred at higher altitudes, probably due to the combined effect of cooler temperature and the presence of meadows. Some very sandy soils appeared to be almost saturated, largely due to their very small fine fraction. Soils in the highly cultivated plains in the northern half of the country had a significant saturation deficit. Soils in the southern part of the country had the highest saturation deficit because of the combined effects of climatic factors (low production, high temperature) and land use (vineyards, orchards). Analysis of communal data revealed significant correlations at the national level with Clay + fSilt ( r = 0.59), pH ( r = 0.44) but also with the proportion of grassland in the cultivated area ( r = −0.47). Some areas had apparent oversaturation which may be due to uncertainty associated with the theoretical C saturation equation because of overestimation of the stable soil C fraction. Mapping the C saturation deficit at the national scale demonstrates the influence of climate, soil parameters and land use on the SOC stabilization potential and indicates that a significant proportion of agricultural soils have potential for further SOC storage.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| 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) | 0.001 | 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".