Table 3 Results of linear regression model fits of ecological variables that covary significantly with cranial shape, against other ecological variables.

df, degrees of freedom; Adj. SS, adjusted sum of squares; Adj. MS, adjusted mean square; F, F statistic; P, significance level.

dfAdj. SSAdj. MSFPDirection of
change
CS
  Regression132,484,639191,1263.620.004*
  Mean monthly
temperature
1127,563127,5632.420.135
  Sexual maturity
age
1709,585709,58513.450.001*Later
  Maximum
longevity
146,66446,6640.880.358
  Mean monthly
precipitation
134,24434,2440.650.429
  Activity cycle262,30831,1540.590.563
  Terrestriality/
arboreality
130,67230,6720.580.454
  Habitat breadth241,33020,6650.390.681
  Diet breadth4196,92649,2310.930.464
  Error211,107,57852,742
  Total343,592,217
Sexual maturity age
  Regression124,301,175358,4314.140.002*
  Mean monthly
temperature
116,199161,990.190.669
  Maximum
longevity
11,488,5251,488,52517.21<0.001*Longer
  Mean monthly
precipitation
111,43411,4340.130.72
  Activity cycle2262,025131,0121.510.242
  Terrestriality/
arboreality
126,78526,7850.310.584
  Habitat breadth2268,973134,4871.550.234
  Diet breadth41,518,075379,5194.390.009*Pandas
  Error221,902,97286,499
  Total346,204,148
Precipitation
  Regression1242,736.33,561.363.740.004*
  Mean monthly
temperature
18,3418,3418.770.007*Higher
  Sexual maturity
age
1125.8125.770.130.72
  Maximum
longevity
147.647.590.050.825
  Activity cycle2520.3260.130.270.763
  Terrestriality/
arboreality
15,226.95,226.945.490.029*Aboveground
  Habitat breadth2157.178.540.080.921
  Diet breadth46,525.31,631.331.710.183
  Error2220,933.4951.52
  Total3463,669.7

*Statistical significance at the P = 0.05 level.