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. 2018 Sep 26;9:1431. doi: 10.3389/fpls.2018.01431

Table 1.

Results of stepwise multiple regression (SMR) for the effects of climatic factors and soil variables (MAT, MAP, PET, AI, soil nutrient levels and ratio) on foliar NRE, PRE, and NRE:PRE in global.

Element resorption efficiency Adj R2 full model Partial regression coefficient
Contribution of predictor (%)
MAT MAP PET AI Soil MAT MAP PET AI Soil
GRAMINOID
NRE 0.168 −0.005a >-0.001c −0.091a >-0.002c 27.6 36.3 8.3 27.8
PRE 0.240 −0.011c >−0.003c <−0.001c 0.244c 39.9 29.9 15.4 14.8
NRE:PRE 0.251 0.012b −0.003c −0.094a −0.027c 12.4 36.6 4.4 46.8
FORB
NRE 0.126 0.014c <−0.003c −0.190c 16.4 17.5 66.1
PRE 0.178 0.019c >−0.002c >−0.003 0.236b >−0.002b 18.1 20.6 23.4 20.2 17.7
NRE:PRE 0.176 >−0.001c −0.075c −0.004 43.2 52.4 4.4
ALL
NRE 0.102 >−0.001c >−0.001 >−0.001b 60.2 10.9 28.9
PRE 0.096 >−0.001c 0.126c >−0.001a 40.4 30.9 31.4
NRE:PRE 0.162 >−0.001c −0.048b −0.011c 47.7 20.5 31.8

a, b, and c denote significance at the 0.05, 0.01, 0.001 test level, respectively.