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Table 3 Results of distance-based redundancy analyses (dbRDA) testing the effects of geography, climate and elevation on genetic differentiation among eleven populations of the Pyrenean Morales grasshopper

From: Hierarchical genetic structure shaped by topography in a narrow-endemic montane grasshopper

Marginal tests

Conditional tests

Variable

F

P

% var

Variable

F

P

% var

F ST

  Geography

10.42

0.001

53.66

 

 Elevation

0.54

0.651

5.75

Elevation

0.48

0.844

2.64

 Climate PC1

0.67

0.581

7.00

Climate PC1

0.42

0.883

2.35

  Climate PC2

7.57

0.002

45.70

Climate PC2

0.62

0.720

3.35

 Climate PC3

1.59

0.194

15.06

Climate PC3

2.02

0.084

9.37

F ST NA

  Geography

7.91

0.001

46.80

 

 Elevation

0.48

0.747

5.14

Elevation

0.43

0.871

2.76

 Climate PC1

0.61

0.661

6.40

Climate PC1

0.27

0.961

1.79

  Climate PC2

6.02

0.005

40.12

Climate PC2

0.70

0.665

4.33

 Climate PC3

1.84

0.144

17.05

Climate PC3

2.13

0.073

11.22

  1. Geography is tested after transforming the Euclidean geographical distance matrix to a continuous rectangular vector by principal coordinates analyses (PCoA). In marginal tests, we tested each predictor separately, while in conditional (partial) tests geography was always included as covariate. The proportion of the multivariate genetic variation explained (% var) by a given predictor or set of predictors is indicated. Predictors with P < 0.05 in bold