Skip to main content

Table 2 Summary of multiple linear regression for the effects of biotic and abiotic factors on the spatial variations of mean annual NPP, ET and WUE for the period 2000–2014 across the forest landscape in Lushuihe of Jilin Province, Northeast China. SOC, soil organic carbon; Tmean, mean annual air temperature; Tmax, mean annual maximum air temperature; Tmin, mean annual minimum air temperature

From: Spatiotemporal variations in productivity and water use efficiency across a temperate forest landscape of Northeast China

Explanatory variables NPP t-value p-value ET t-value p-value WUE t-value p-value
Estimate SE Estimate SE Estimate SE
Establishment mode −7.383 1.259 −5.863 <  0.001 4.237 1.314 3.223 0.001 −0.020 0.004 −5.157 <  0.001
Forest type 5.243 0.474 11.065 <  0.001 −4.982 0.495 −10.073 <  0.001 0.017 0.001 11.517 <  0.001
Age class 2.307 0.395 5.839 <  0.001 −3.183 0.412 −7.718 <  0.001 0.009 0.001 7.523 <  0.001
Stand density 0.005 0.001 3.930 <  0.001 −0.003 0.001 −2.302 0.021 0.000 0.000 3.512 <  0.001
Elevation 0.007 0.004 1.899 0.058 −0.005 0.004 −1.282 0.200 0.000 0.000 1.187 0.235
Aspect 0.001 0.003 0.213 0.832 0.001 0.003 0.394 0.693 0.000 0.000 −0.195 0.845
Slope 0.127 0.062 2.063 0.039 −0.083 0.064 −1.285 0.199 0.000 0.000 1.906 0.057
Slope position −0.062 0.300 −0.206 0.837 1.742 0.313 5.560 <  0.001 −0.003 0.001 −3.102 0.002
SOC −7.033 1.706 −4.123 <  0.001 −2.217 1.780 −1.245 0.213 −0.011 0.005 −2.081 0.037
Precipitation 0.076 0.122 0.626 0.531 0.292 0.127 2.302 0.021 0.000 0.000 −1.242 0.214
T mean 1028.698 56.718 18.137 <  0.001 − 1125.973 59.197 −19.021 <  0.001 3.506 0.175 19.978 <  0.001
T max −317.054 37.895 −8.367 <  0.001 417.860 39.552 10.565 <  0.001 −1.228 0.117 − 10.473 <  0.001
T min − 712.860 33.763 −21.114 <  0.001 702.818 35.238 19.945 <  0.001 −2.270 0.104 −21.724 <  0.001