Table 3. Spearman Rank Order Correlation coefficients for cranial variables and morphospace axes (E1-E4, K1-K4) in M. putoriu.
Variables | Size diversity model | Shape diversity model | r2 | |||||||
E1 | E2 | E3 | E4 | K1 | K2 | K3 | K4 | |||
CbL | 0.95 | 0.18 | -0.04 | 0.14 | 0.70 | 0.16 | -0.33 | -0.08 | 0.98 | |
NcL | 0.68 | -0.17 | -0.62 | 0.16 | 0.38 | -0.39 | -0.59 | -0.05 | 0.96 | |
VcL | 0.84 | 0.26 | 0.30 | 0.02 | 0.67 | 0.44 | -0.10 | -0.17 | 0.95 | |
PL | 0.86 | 0.19 | 0.00 | 0.25 | 0.71 | 0.24 | -0.39 | -0.01 | 0.95 | |
MxtL | 0.89 | -0.01 | 0.12 | 0.20 | 0.49 | 0.32 | -0.41 | -0.12 | 0.93 | |
Pm4L | 0.80 | -0.26 | 0.07 | 0.22 | 0.28 | 0.23 | -0.54 | -0.12 | 0.89 | |
BcL | 0.81 | 0.16 | -0.09 | -0.12 | 0.55 | 0.02 | -0.10 | 0.16 | 0.92 | |
AbL | 0.83 | 0.16 | -0.07 | -0.10 | 0.56 | 0.05 | -0.13 | 0.09 | 0.94 | |
ZyW | 0.89 | 0.12 | -0.06 | -0.02 | 0.63 | 0.05 | -0.28 | -0.29 | 0.92 | |
MW | 0.92 | 0.15 | -0.12 | -0.01 | 0.66 | -0.01 | -0.29 | -0.20 | 0.95 | |
PoW | 0.73 | -0.23 | -0.16 | -0.36 | 0.28 | -0.02 | -0.23 | -0.34 | 0.87 | |
IW | 0.84 | 0.12 | 0.00 | -0.20 | 0.57 | 0.09 | -0.15 | -0.35 | 0.90 | |
RW | 0.91 | 0.00 | 0.04 | 0.02 | 0.52 | 0.17 | -0.35 | -0.25 | 0.93 | |
GpW | 0.86 | -0.22 | 0.02 | -0.05 | 0.32 | 0.16 | -0.40 | -0.29 | 0.93 | |
AbW | 0.83 | -0.06 | -0.05 | 0.02 | 0.46 | 0.08 | -0.37 | -0.20 | 0.78 | |
M1W | 0.70 | -0.50 | 0.15 | 0.06 | 0.11 | 0.30 | -0.56 | -0.16 | 0.91 | |
CH | 0.82 | 0.02 | -0.21 | -0.09 | 0.52 | -0.09 | -0.29 | -0.17 | 0.87 | |
ML | 0.95 | 0.17 | -0.04 | 0.13 | 0.70 | 0.16 | -0.32 | -0.16 | 0.98 | |
AL | 0.94 | 0.19 | -0.08 | 0.13 | 0.72 | 0.11 | -0.33 | -0.17 | 0.98 | |
MatL | 0.90 | -0.04 | 0.05 | 0.20 | 0.50 | 0.29 | -0.45 | -0.12 | 0.95 | |
m1L | 0.76 | -0.35 | 0.14 | 0.11 | 0.21 | 0.29 | -0.48 | -0.14 | 0.88 | |
MaH | 0.90 | 0.19 | -0.14 | 0.04 | 0.72 | 0.01 | -0.32 | -0.21 | 0.95 | |
MpW | 0.75 | -0.11 | 0.12 | -0.09 | 0.34 | 0.25 | -0.22 | -0.26 | 0.82 | |
Analysis of NMDS axes variance | ||||||||||
Components of variance, % | Wilks tests | |||||||||
Factor: “sex” | 94.0 | 0 | 0 | 0 | 54.9 | 1.5 | 42.0 | 4.3 | 0.14 (p< 0.001) | |
Unexplained variance | 6.0 | 100 | 100 | 100 | 45.1 | 98.5 | 58.0 | 95.7 |
r2– coefficient of multiple determination in the linear multiple regression model: y=a1E1+a2E2+a3E3+a4E4+b1K1+b2K2+b3K3+b4K4+const