Table 3 Best GLS autoregressive models testing the association between colour variations and the environmental variables. The coefficients of the model variables are shown. Significant adjusted p values are marked in bold
From: Environmental colour pattern variation in Mediterranean Podarcis
Dependent | Predictors | Value | t-value | p | Adjusted p |
|---|---|---|---|---|---|
CIELAB l-axis | Surface area | 0.651 | 4.605 | 0.00001 | 0.0002 |
| Â | Distance to mainland | 4.613 | 1.253 | 0.211 | 1.000 |
| Â | Temperature | 1.415 | 0.729 | 0.466 | 1.000 |
CIELAB a-axis | Surface area | ‒0.314 | ‒2.643 | 0.008 | 0.128 |
| Â | Average sea depth | 0.602 | 2.472 | 0.014 | 0.224 |
|  | Temperature | ‒4.924 | ‒1.867 | 0.062 | 1.000 |
|  | Precipitation | ‒1.563 | ‒1.069 | 0.285 | 1.000 |
CIELAB b-axis | Surface area | 0.610 | 4.375 | 0.00001 | 0.0002 |
|  | Average sea depth | ‒0.625 | ‒2.108 | 0.035 | 0.560 |
| Â | Land buffer | 1.168 | 1.819 | 0.069 | 1.000 |
| Â | Temperature | 8.196 | 2.632 | 0.009 | 0.144 |
| Â | Precipitation | 2.361 | 1.526 | 0.127 | 1.000 |
Distance to centroids | Surface area | ‒0.004 | ‒6.901 | 0.00001 | 0.0002 |
Colour contrast | Surface area | 0.421 | 4.493 | 0.00001 | 0.0002 |
| Â | Distance to mainland | 0.111 | 1.348 | 0.178 | 1.000 |
| Â | Temperature | 0.501 | 0.306 | 0.760 | 1.000 |