Table 2 

Predictor combinations in statistical modelling with more than 5% support in Akaike weights 

Measure of diversity /Factor combinations 
d.f. 
SS_{res}. 
% explained variance 
AIC 
Akaike weight 



H_{E} 
N = 80 

bar+exp 
2 
1.676 
92.5 
76.22 
0.56 

bio+exp 
2 
1.685 
92.4 
75.79 
0.24 

bio+exp+marg 
3 
1.654 
92.6 
75.28 
0.09 

bar+exp+lim 
3 
1.660 
92.6 
74.99 
0.05 

A 
N = 80 

bio+exp 
2 
115.06 
90.1 
262.10 
0.88 

bio+exp+marg 
3 
113.87 
90.2 
340.09 
0.09 

H_{mt} 
N = 66 

bar+exp+lim 
3 
273.23 
79.9 
289.06 
0.95 

s 
N = 80 

marg+exp+lim+size 
5 
4.06 
49.0 
122.1 
0.97 



All possible predictor combinations were tested with Generalised Linear Modelling and the support of all models by the data inferred by the Akaike Information Criterion (AIC). Akaike weights were calculated on the basis of all models tested. H_{E }= expected heterozygosity, A average number of rarefied alleles per locus, H_{mt }number of rarefied mitochondrial haplotypes, s estimate of population selfing rate. 

Pfenninger et al. BMC Evolutionary Biology 2011 11:135 doi:10.1186/1471214811135 