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. 2019 Aug 2;9(17):9564–9579. doi: 10.1002/ece3.5475

Table 3.

(A) Results of redundancy analyses (RDA) for association between genetic variation, geography, and climate for Salix humboldtiana populations. Two partial analysis are shown pRDA1 (effect of climatic variables while controlling for geographic effects) and pRDA2 (effect of geographic distribution while controlling for climatic variation). The proportion of variance explained by both geographic and climatic effects is also indicated (climatic/geographic). Proportion constrained corresponds to the partitioned variance relative to the constrained variance of the full RDA model. (B) Loadings of climate variables into the first two axes of pRDA1 and their significance

Microsatellite genetic variation Partitioned variance Proportion p
(A)
Full model: geography and climate (constrained variance) 0.08024 1 .001
pRDA1 0.01646 0.2052 .001
pRDA2 0.003281 0.04089 .002
Climatic/geographic 0.060499 0.24609 NA
Variable df pRDA1
Axis 1 Axis 2 F
(B)
Bio 2 1 0.21 0.33 5.4***
Bio 3 1 −0.14 −0.31 2.3
Bio 4 1 0.20 0.22 3.2
Bio 7 1 0.22 0.36 1.02
Bio 12 1 0.12 −0.23 14.8***
Bio 13 1 0.42 −0.15 13.5***
Bio 15 1 0.42 0.12 2.4
Bio 16 1 0.31 −0.17 0.72
Bio 18 1 −0.07 −0.21 7***
Bio 19 1 −0.05 −0.17 0.31
Slope 1 −0.02 −0.25 5.1***
***

p = .0001; **.001; *.01.