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Table 3 Results of the generalized linear model (GLM) showing the effects of seed origin and the effects of the significant climate variables describing early and late frost events, the mean climate conditions of the trial sites and tree age on the juvenile survival rate of Douglas-fir

From: Survival of Douglas-fir provenances in Austria: site-specific late and early frost events are more important than provenance origin

Driver type

Drivers

Estimate

Std. error

t value

p value

Partial R2

Contribution to sum of partial R2

 

Intercept

3.264

1.471

2.219

< 0.00

  

Late frost

LF1

− 0.101

0.052

− 1.956

< 0.00

0.18

9.92

LF8

− 0.004

0.003

− 1.284

< 0.00

0.04

2.31

LF12

− 0.159

0.043

− 3.659

< 0.00

0.74

41.04

Early frost

EF1

− 0.311

0.304

− 1.022

< 0.00

0.00

0.16

EF4

− 0.118

0.037

− 3.214

< 0.00

0.57

31.48

EF7

− 0.007

0.005

− 1.452

< 0.00

0.07

3.94

LF-EF interaction

LF1 x EF1

0.023

0.002

0.843

< 0.00

0.00

0.10

Mean climate

TD

− 0.005

0.002

− 1.160

< 0.00

0.02

1.24

SHM

0.045

0.020

1.100

< 0.00

0.01

0.75

Demographic

Tree age

− 0.007

0.02

− 0.28

0.77

0.06

3.30

Provenance origin

4.Climate cluster

− 0.012

0.01

− 0.33

0.18

0.05

2.67

3. Altitude-zone cluster

0.023

0.01

0.19

< 0.00

0.05

2.79

3. Seed-zone cluster

− 0.02

0.02

− 0.22

0.22

0.01

0.29

  1. R2 adjusted = 0.59
  2. For an explanation of the acronyms of the variables see Table 1. Partial R2 refers to the change in the adjusted model R2 when the respective variable is removed from the GLM. The percent contribution of a particular explanatory variable is calculated as the percentage of its partial R2 over the sum of partial R2 of all explanatory variables