Table 1. Summary statistics of modelling data [CDBDR = ratio of maximum crown diameter to diameter at breast height, in short, crown-to-bole diameter ratio; SD = standard deviation]. | ||
Variables | Mean ± SD (range) | |
Norway spruce | European beech | |
Number of sample plots | 90 (16 monospecific + 74 mixed) | 88 (18 monospecific + 70 mixed) |
Total number of CDBDR sample trees | 5526 | 5666 |
Number of CDBDR trees per sample plot | 170 ± 140 (1–450) | 119 ± 81 (1–287) |
Number of stems per sample plot | 214 ± 105 ( 23–660) | 147 ± 129 (8–677) |
Number of stems (N ha–1) | 820 ± 472 (86–2581) | 641 ± 474 (34–2685) |
Stand basal area (BA, m2 ha–1) | 49.7 ± 31 (6.9–81.2) | 55.3 ± 45 (13–81.2) |
BA proportion of a tree species (BAPOR) | 0.72 ± 0.3 (0.00057–1) | 0.74 ± 0.26 (0.004–1) |
BA of trees lager than a subject tree (BAL, m2 ha–1) | 34.3 ± 21.4 (0–77.4) | 36 ± 19.2 (0–79.7) |
Quadratic mean DBH per sample plot (QMD, cm) | 27.4 ± 10.4 (7–60.3) | 34 ± 10.9 (15–66.8) |
Ratio of DBH to QMD | 1.2 ± 0.5 (0.1–7) | 0.9 ± 0.6 (0.1–5) |
Arithmetic mean DBH per sample plot (cm) | 24.6 ± 10.8 (6.8–53.9) | 30 ± 11.6 (9–66.3) |
DBH sum per sample plot (cm) | 4520 ± 1302 (1063–9246) | 3750 ± 1431 (683–9246) |
Dominant diameter per sample plot (cm) | 46.1 ± 15.2 (9.2–72.8) | 53.6 ± 10.2 (23.4–73) |
Dominant height per sample plot (HDOM, m) | 25.5 ± 9.3 (6.5–40.4) | 29.2 ± 7.2 (13.3–41.5) |
Total height (m) | 16.1 ± 10.3 (2–48.7) | 19.6 ± 9.9 (2–48) |
Ratio of height to diameter (m cm–1) | 0.73 ± 0.22 (0.1–2.1) | 0.74 ± 0.3 (0.1–2.7) |
Height to crown base (HCB, m) | 5.6 ± 5.5 (0–32.1) | 8.2 ± 6.3 (0–34.1) |
Crown diameter (m) | 3.6 ± 1.6 (0.7–11.9) | 5.9 ± 2.9 (0.9–19.7) |
Diameter at breast height (DBH, cm) | 25.4 ± 18.4 (3.1–112) | 29.9 ± 19.4 (3.4–116.1) |
Crown-to-bole diameter ratio (CDBDR, m cm–1) | 0.2 ± 0.07 (0.04–0.67) | 0.3 ± 0.16 (0.03–0.99) |
Table 2. Parameter estimates, variance components, and fit statistics of the mixed-effects CDBDR model (Eq. 9) [ = marginal coefficient determination; = conditional coefficient determination; RMSE = root mean squared errors; AIC = Akaike’s information criterion; α1,...,α5, φ1, φ2 = fixed parameters; ui1, ui2 = random effect parameters; σ2ui1 = variance of ui1; σ2ui2 = variance of ui2; σ2 = residual variance. Standard error of parameter estimates is given in the parenthesis. Other symbols are the same as in Eq. 9]. | ||||
Model components | Norway spruce | European beech | ||
Spatially explicit | Spatially inexplicit | Spatially explicit | Spatially inexplicit | |
Fixed | ||||
α1 | 2.439952 (0.0962) | 2.010637 (0.0756) | 0.974352 (0.0634) | 1.188444 (0.0750) |
α2 | 0.079471 (0.00492) | 0.148253 (0.00784) | 0.41734 (0.0155) | 0.368927 (0.014) |
α3 | –0.02038 (0.00211) | –0.00643 (0.0007) | –0.00932 (0.000965) | –0.01011 (0.000917) |
α4 | –0.70457 (0.0393) | –0.53672 (0.034) | –0.33188 (0.0573) | –0.46398 (0.0559) |
α5 | –0.02489 (0.00239) | –0.02571 (0.00248) | –0.08355 (0.00297) | –0.08228 (0.00276) |
φ1 | 1.431184 (0.0211) | 1.451109 (0.0214) | 1.313027 (0.0199) | 1.27803 (0.0184) |
φ2 | 0.070045 (0.0114) | 0.056779 (0.0116) | 0.010468 (0.00186) | 0.011452 (0.00153) |
Variance | ||||
σ2ui1 | 1.8217 | 2.0167 | 3.1853 | 3.2148 |
σui1ui2 | –0.4162 | –0.6051 | –0.9902 | –0.7329 |
σ2ui2 | 0.0926 | 0.1189 | 0.1572 | 0.05182 |
σ2 | 0.00131 | 0.00142 | 0.00511 | 0.00305 |
Fit statistics | ||||
0.6994 | 0.6849 | 0.7559 | 0.7503 | |
0.7286 | 0.7104 | 0.7791 | 0.7657 | |
RMSE | 0.0349 | 0.0371 | 0.0626 | 0.0653 |
AIC | –24702 | –24551 | –23931 | –23804 |