Table 1 General linear modelling to infer trait specific variation in the temporal shifts in altitude and altitudinal range sizes.

From: Climate change drives mountain butterflies towards the summits

Variable

df

Altitude

zalt

zrange

zVMR

zSkew

partial η2

P(F)

partial η2

P(F)

partial η2

P(F)

partial η2

P(F)

partial η2

P(F)

Dispersal ability

2

0.10

0.23

0.14

0.14

0.02

0.73

0.15

0.18

0.05

0.60

Specialisation

1

0.02

0.45

0.01

0.64

0.03

0.39

0.10

0.15

0.02

0.50

Endangerment

1

0.01

0.79

< 0.01

0.72

< 0.01

0.91

0.12

0.10

< 0.01

0.83

Altitude

1

< 0.01

0.84

0.38

< 0.01

0.10

0.15

0.07

0.23

r2

 

0.14

0.39

0.18

0.38

0.39

0.02

0.33

0.12

0.15

0.61

  1. Medium altitude served as covariate.
  2. Given are effect sizes (partial η2 and r2 values) and parametric significances.