Fig. 1: The importance of predictors for mineral-associated and particulate organic carbon. | Nature Communications

Fig. 1: The importance of predictors for mineral-associated and particulate organic carbon.

From: Global turnover of soil mineral-associated and particulate organic carbon

Fig. 1

a The importance of predictors for mineral-associated organic carbon (MAOC). b The importance of predictors for particulate organic carbon (POC). Two types of importance from random forest algorithms (impurity and permutation) were first normalized to the interval of [0, 1] according to their maximum and minimum values. The mean of the normalized importance was then calculated. MAT mean annual temperature, MAP mean annual precipitation, NPP net primary productivity. Source data are provided as a Source Data file.

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