Extended Data Fig. 2: Linear mixed-effects modelling on POC and MAOC.
From: Dominance of particulate organic carbon in top mineral soils in cold regions
Difference in soil organic carbon concentration in POC vs. MAOC in the mineral layer of cold regions and its interactions with soil depth, permafrost, and biome type (Arctic, Subarctic, and Alpine). Main and interactions effects of C fraction (POC vs. MAOC) controlling for climate (MAT and MAP), net primary productivity (NPP), and soil properties (pH and clay + silt %). The variance explained by the fixed effect predictors and random effects relative to the total variance (R2) was 33% and 12%, respectively (n = 309). C fraction concentrations were natural-logarithm transformed. Dots and lines represent coefficients and 95% confidence intervals in the linear mixed effects model with C fraction (POC vs. MAOC) as a binary variable. MAT, mean annual temperature; MAP, mean annual precipitation. The panel corresponds to the first 30 cm of mineral soil. P values for two-tailed tests.
