Table 6. The comparison of the results using the optimal models without and with the original Hegyi and improved Hegyi_I involved for sunny-steep, sunny-gentle, shady-steep and shady-gentle slope forests (a, b, c, f and g are model parameters; STE is the standard error of the estimated parameter; RMSE and R2 respectively are root mean square error and coefficient of determination between the observed and estimated values of H; SSR is the sum of squared residuals; and the symbol * implying the model parameter statistically is significantly different from zero at the significant level of 0.05).
Model characteristics Model parameter Model evaluation
a (STE) b (STE) c (STE) f (STE) g (STE) RMSE SSR R2
Sunny-steep slope
*4.253(0.362) –0.249(0.908) 1.341 154.550 0.622
*10.198(0.906) –0.921(1.083) 0.071(0.063) 1.330 152.192 0.628
*3.693(0.463) 1.712(1.367) *–0.182(0.086) 1.312 148.219 0.638
Sunny-gentle slope
*16.817(0.924) *1.591(0.178) *0.109(0.019) 1.444 200.078 0.754
*16.858(0.981) *1.542(0.283) *0.107(0.022) 0.006(0.026) 1.443 199.967 0.754
*17.259(0.967) *1.119(0.130) *0.093(0.016) *0.015(0.004) 1.348 174.524 0.786
Shady-steep slope
*4.094(0.195) *0.359(0.017) 0.834 73.031 0.818
*4.415(0.245) *0.339(0.018) *–0.022(0.009) 0.811 69.059 0.828
*4.864(0.279) *0.316(0.018) *–0.017(0.004) 0.759 60.472 0.849
Shady-gentle slope
*14.119(0.581) *2.184(0.355) *0.169(0.026) 1.356 255.579 0.706
*14.301(0.645) *1.928(0.402) *0.162(0.029) –0.298(0.250) 1.363 258.098 0.703
*13.906(0.504) *2.850(0.569) *0.191(0.027) *–0.044(0.021) 1.341 249.868 0.712