A model-based assessment of the soil C storage potential at the national scale: A case study from France
Bibliographic record
Abstract
The recent controversy about the 4 per 1000 initiative has emphasized the need for a quantitative assessment of the C storage potential of agricultural soils. Moreover a clear distinction is required between the biophysically and the economically achievable potentials. Here we used a modelling approach at a fine spatial-scale resolution (< 8 km2) to quantify the additional C storage in agricultural soils of mainland France following the implementation, when feasible, of a range of soil C storing practices (i.e. cover crops, reduced tillage, new C inputs, grazing instead of mowing,…). The additional cost for farmers was also calculated, thus yielding the cost per Mg of additional C stored in soils. Results showed that the average additional C storage calculated over 30 years ranged between +0.028 and + 0.466 Mg C ha-1 yr-1 (i.e. between +0.5 and +7.2‰) for the different tested practices, with a very high spatial variability over France for each practice related to initial C stocks and pedo-climatic conditions. The storing practices where then ranked according to the cost of the additional C stored in soils (expressed in euro per Mg of C) and an optimal cost-efficient strategy was proposed at the national level.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".