HIGHLIGHTS
SUMMARY
The authors explored the variability of observed MOC and used a machine_learning approach to elucidate the role of environmental variables, including climate and vegetation, in driving the observed departures from mineralogical saturation. Given the important role of mineralogy (Supplementary Fig 4), the data -driven MOCmax estimates are also a notable update to regional studies that have reported a maximum carbon potential across European soils (e_g, 45-50 g C kg-1 soil based on model-predicted values in ref 11). To explore where and why soils contain less MOC than they could based on . . .
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