Table 2 Partial redundancy analysis for RADseq data.

From: Contrasting whole-genome and reduced representation sequencing for population demographic and adaptive inference: an alpine mammal case study

 

df

Variance

F

Pr( > F)

Proportion of variance

Total explainable: F ~ clim. + geog.

8

5,996.9

8.254

0.001

0.21

  Pure climate: F ~ clim. | geog.

6

1,774.1

3.256

0.001

0.06

  Pure geography: F ~ geog. | clim.

2

1,534.8

8.450

0.001

0.05

  Confounded climate/geography

 

2,688.0

  

0.10

Total unexplained

 

22,249.1

  

0.79

Total variance

 

28,246.0

  

1

  1. Variance is separated into effects of climate and elevation (variables include annual mean temperature (BIO1), maximum temperature of the warmest month (BIO5), mean temperature of the wettest quarter (BIO8), annual precipitation (BIO12), precipitation seasonality (BIO15) and elevation) and geography (latitude and longitude).
Back to article page