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. 2018 Apr 16;115(16):4045–4050. doi: 10.1073/pnas.1700292114

Table 2.

Correlation coefficients and stepwise regression model between county-level rate of SOC change (SOCrate) and climate (mean annual temperature, MAT; and mean annual precipitation, MAP), initial soil properties (sand, silt, and clay content; soil pH in 1980, pH1980; and SOC stock in 1980, SOC1980), and management practices (cumulative N fertilizer input, NfNinput; and average crop residue carbon input, ResidueCinput) (n = 58)

Factors Climate Initial soil properties Management practices
MAT MAP Sand Silt Clay SOC1980 pH1980 NfNinput ResidueCinput
Pearson R 0.32* 0.08 0.03 0.03 −0.11 −0.58*** 0.01 0.28* 0.45***
Partial R −0.1 −0.05 −0.07 0.07 0.29* −0.57*** −0.2 −0.06 0.39***

Stepwise regression model. SOCrate(Mg C ha−1 y−1) = 0.13 − 0.009 × SOC1980 (Mg C ha−1) + 0.005 × Clay(%) + 0.16 × ResidueCinput(Mg C ha−1 y−1). Adjusted R = 0.49, P < 0.001. *P < 0.05; ***P < 0.001.