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Table 7 Hierarchical Bayesian multiple regression

From: Genetic diversity of calcareous grassland plant species depends on historical landscape configuration

GVwithin

RC

ESS

Lower HDI limit

Upper HDI limit

Intercept

0.01

300.000

−1.47

1.46

HA1830

0.20

13.665

−0.34

0.75

HA2013

−0.16

18.771

−0.74

0.40

HA/P

0.15

20.222

−0.39

0.70

D1830

−0.29

22.242

−0.57

<0.00

D2013

−0.02

130.088

−0.23

0.20

CO1830

−0.09

11.912

−0.60

0.37

CO2013

−0.21

11.813

−0.73

0.30

P

−0.03

29.774

−0.38

0.31

K

−0.15

12.880

−0.48

0.19

C/N

0.07

40.678

−0.20

0.36

VH

−0.10

58.448

−0.37

0.17

CG

−0.15

36.036

−0.46

0.17

CL

−0.16

62.511

−0.46

0.12

BS

0.04

59.163

−0.21

0.31

NI

0.02

164.573

−0.96

0.87

Variance parameter

0.44

35.412

0.24

0.58

Normality parameter

4.45

7044

1.00

82.89

  1. Results of the hierarchical Bayesian multiple regression on genetic variation within populations (GVwithin) calculated on species-independent level. Modal values of marginal distributions of each standardised regression coefficient are given together with the effective sample size (ESS) of all parameters. A 95% highest density interval (HDI) was computed for each model parameter. The distance to the next calcareous grassland in 1830 (D1830) exhibits a credible impact on the genetic variation of all species at the selected study sites (in italic letters) as HDI <0 (RC standardised regression coefficient)