Table 6. Model parameters, standard errors, t values and posterior densities of the univariate () and complete (mBIC) analyses.
Model | Parameter | Effect | Estimates | Std. Error | t value | Variance | Std. Dev. | MCMC median | MCMC mean | HPD95 lower | HPD95 upper | pMCMC | Pr(>|t|) | RMSEP | BIC | R2 fixed | R2 |
mBIC | site.names | random | 0.0355 | 0.1885 | 0.1577 | 0.1596 | 0.1184 | 0.2038 | 0.2787 | 412.4698 | 29.79 | 50.25 | |||||
Residual | random | 0.0800 | 0.2829 | 0.2845 | 0.2846 | 0.2713 | 0.2975 | ||||||||||
(Intercept) | fixed | −0.7247 | 0.1635 | −4.4336 | −0.7492 | −1.0585 | −0.4339 | 0.0001 | 0.0000 | ||||||||
I(pre∧0.5) | fixed | 0.0118 | 0.0027 | 4.4017 | 0.0120 | 0.0067 | 0.0171 | 0.0001 | 0.0000 | ||||||||
sol_m | fixed | 0.0024 | 0.0002 | 10.3592 | 0.0024 | 0.0019 | 0.0028 | 0.0001 | 0.0000 | ||||||||
dtr | fixed | −0.0300 | 0.0078 | −3.8291 | −0.0283 | −0.0430 | −0.0139 | 0.0002 | 0.0001 | ||||||||
swc | fixed | 0.2426 | 0.0674 | 3.5999 | 0.2492 | 0.1196 | 0.3817 | 0.0002 | 0.0003 | ||||||||
site.names | random | 0.0346 | 0.1861 | 0.1588 | 0.1608 | 0.1192 | 0.2057 | 0.2983 | 515.5249 | 19.82 | 42.99 | ||||||
Residual | random | 0.0914 | 0.3023 | 0.3038 | 0.3040 | 0.2901 | 0.3184 | ||||||||||
(Intercept) | fixed | −0.0158 | 0.0394 | −0.4006 | −0.0157 | −0.0860 | 0.0562 | 0.6666 | 0.6888 | ||||||||
I(pre∧0.5) | fixed | 0.0303 | 0.0020 | 15.1909 | 0.0303 | 0.0264 | 0.0343 | 0.0001 | 0.0000 | ||||||||
msol | site.names | random | 0.0414 | 0.2034 | 0.1695 | 0.1715 | 0.1296 | 0.2177 | 0.3043 | 556.2737 | 16.30 | 40.67 | |||||
Residual | random | 0.0951 | 0.3084 | 0.3103 | 0.3104 | 0.2956 | 0.3245 | ||||||||||
(Intercept) | fixed | −1.0027 | 0.1042 | −9.6261 | −0.9997 | −1.1959 | −0.7884 | 0.0001 | 0.0000 | ||||||||
sol_m | fixed | 0.0030 | 0.0002 | 13.4849 | 0.0030 | 0.0026 | 0.0035 | 0.0001 | 0.0000 | ||||||||
mcld | site.names | random | 0.0333 | 0.1825 | 0.1576 | 0.1594 | 0.1183 | 0.2040 | 0.3065 | 563.8953 | 15.56 | 39.81 | |||||
Residual | random | 0.0965 | 0.3106 | 0.3120 | 0.3122 | 0.2975 | 0.3264 | ||||||||||
(Intercept) | fixed | −0.4837 | 0.0691 | −6.9952 | −0.4766 | −0.6100 | −0.3444 | 0.0001 | 0.0000 | ||||||||
cld | fixed | 0.0115 | 0.0009 | 13.1090 | 0.0114 | 0.0097 | 0.0132 | 0.0001 | 0.0000 | ||||||||
Mpre | site.names | random | 0.0345 | 0.1856 | 0.1601 | 0.1621 | 0.1193 | 0.2073 | 0.3078 | 571.9796 | 14.82 | 39.34 | |||||
Residual | random | 0.0972 | 0.3118 | 0.3133 | 0.3135 | 0.2992 | 0.3284 | ||||||||||
(Intercept) | fixed | 0.1542 | 0.0352 | 4.3855 | 0.1542 | 0.0933 | 0.2184 | 0.0001 | 0.0000 | ||||||||
pre | fixed | 0.0011 | 0.0001 | 12.7430 | 0.0011 | 0.0009 | 0.0013 | 0.0001 | 0.0000 | ||||||||
mdtr | site.names | random | 0.0705 | 0.2655 | 0.1957 | 0.1982 | 0.1523 | 0.2514 | 0.3060 | 579.4892 | 14.60 | 40.01 | |||||
Residual | random | 0.0962 | 0.3102 | 0.3134 | 0.3136 | 0.2998 | 0.3290 | ||||||||||
(Intercept) | fixed | 1.2160 | 0.0842 | 14.4368 | 1.1559 | 0.9919 | 1.3130 | 0.0001 | 0.0000 | ||||||||
dtr | fixed | −0.0840 | 0.0066 | −12.655 | −0.0783 | −0.0925 | −0.0650 | 0.0001 | 0.0000 | ||||||||
mvap | site.names | random | 0.1335 | 0.3653 | 0.2128 | 0.2152 | 0.1607 | 0.2740 | 0.3063 | 596.8096 | 13.87 | 39.89 | |||||
Residual | random | 0.0964 | 0.3105 | 0.3167 | 0.3169 | 0.3017 | 0.3314 | ||||||||||
(Intercept) | fixed | −1.1021 | 0.1306 | −8.4356 | −0.8118 | −1.0723 | −0.5445 | 0.0001 | 0.0000 | ||||||||
vap | fixed | 0.0593 | 0.0048 | 12.3119 | 0.0472 | 0.0368 | 0.0579 | 0.0001 | 0.0000 | ||||||||
mswc | site.names | random | 0.0319 | 0.1785 | 0.1564 | 0.1582 | 0.1146 | 0.2039 | 0.3174 | 625.9566 | 9.77 | 35.49 | |||||
Residual | random | 0.1034 | 0.3215 | 0.3229 | 0.3230 | 0.3082 | 0.3382 | ||||||||||
(Intercept) | fixed | −0.1696 | 0.0580 | −2.9216 | −0.1715 | −0.2826 | −0.0609 | 0.0038 | 0.0036 | ||||||||
swc | fixed | 0.5807 | 0.0578 | 10.0435 | 0.5837 | 0.4723 | 0.7025 | 0.0001 | 0.0000 | ||||||||
mtmn | site.names | random | 0.0944 | 0.3072 | 0.2038 | 0.2063 | 0.1523 | 0.2625 | 0.3143 | 635.0120 | 9.65 | 36.71 | |||||
Residual | random | 0.1015 | 0.3186 | 0.3231 | 0.3233 | 0.3085 | 0.3387 | ||||||||||
(Intercept) | fixed | −0.8685 | 0.1291 | −6.7262 | −0.6662 | −0.9239 | −0.4010 | 0.0001 | 0.0000 | ||||||||
tmn | fixed | 0.0623 | 0.0062 | 10.0385 | 0.0517 | 0.0393 | 0.0656 | 0.0001 | 0.0000 | ||||||||
mtmp | site.names | random | 0.0396 | 0.1989 | 0.1693 | 0.1716 | 0.1238 | 0.2187 | 0.3299 | 701.8122 | 2.13 | 30.27 | |||||
Residual | random | 0.1117 | 0.3343 | 0.3359 | 0.3361 | 0.3210 | 0.3522 | ||||||||||
(Intercept) | fixed | −0.3704 | 0.1566 | −2.3648 | −0.3351 | −0.6345 | −0.0317 | 0.0266 | 0.0182 | ||||||||
tmp | fixed | 0.0283 | 0.0063 | 4.5113 | 0.0269 | 0.0146 | 0.0388 | 0.0001 | 0.0000 | ||||||||
mpet | site.names | random | 0.0329 | 0.1814 | 0.1600 | 0.1620 | 0.1178 | 0.2075 | 0.3320 | 709.0369 | 1.40 | 29.38 | |||||
Residual | random | 0.1132 | 0.3364 | 0.3377 | 0.3379 | 0.3219 | 0.3532 | ||||||||||
(Intercept) | fixed | 0.5525 | 0.0724 | 7.6338 | 0.5589 | 0.4147 | 0.6951 | 0.0001 | 0.0000 | ||||||||
pet | fixed | −0.0023 | 0.0006 | −3.6135 | −0.0023 | −0.0036 | −0.0011 | 0.0002 | 0.0003 | ||||||||
mtmx | site.names | random | 0.0400 | 0.2000 | 0.1717 | 0.1738 | 0.1278 | 0.2217 | 0.3334 | 721.5133 | 0.05 | 28.78 | |||||
Residual | random | 0.1141 | 0.3378 | 0.3395 | 0.3396 | 0.3234 | 0.3550 | ||||||||||
(Intercept) | fixed | 0.4356 | 0.1755 | 2.4825 | 0.4047 | 0.0543 | 0.7394 | 0.0190 | 0.0132 | ||||||||
tmx | fixed | −0.0039 | 0.0058 | −0.6821 | −0.0029 | −0.0141 | 0.0086 | 0.6180 | 0.4954 | ||||||||
m0 | site.names | random | 0.0385 | 0.1962 | 0.1696 | 0.1717 | 0.1270 | 0.2214 | 0.3337 | 715.0984 | 0.00 | 28.69 | |||||
Residual | random | 0.1142 | 0.3379 | 0.3395 | 0.3396 | 0.3240 | 0.3551 | ||||||||||
(Intercept) | fixed | 0.3184 | 0.0347 | 9.1815 | 0.3187 | 0.2571 | 0.3784 | 0.0001 | 0.0000 |
Model parameters, standard errors and t-values. The parameter values of posterior parameters densities (MCMC median and MCMC mean) and their 95% confidence intervals (Highest posterior density at 95% [HPD95] lower and upper) and associated p-value are estimated from a distribution of 10000 parameter samples computed with Monte Carlo Markov Chains from the model parameters. Goodness-of-fit criterion of the growth models are root mean square error of prediction (RMSEP), Bayesian Information Criterion (BIC), R2 of the fixed part of the model () and R2 of the complete model (fixed plus random part).