Table 1 Results of a correlation matrix-based principle component analysis (PCA).

From: Natural and sexual selection drive multivariate phenotypic divergence along climatic gradients in an invasive fish

 

Principal components

1

2

Eigenvalue

4.02

1.97

Variance explained [%]

57.42

28.12

Mean annual temperature

0.840

−0.404

Max. temperature of the warmest month

−0.810

−0.251

Min. temperature of the coldest month

0.934

−0.138

Annual temperature difference

−0.943

0.025

Annual precipitation

0.730

−0.562

Altitude

−0.052

0.891

Distance to the sea

−0.036

0.987

  1. Input variables were climatic and geographic variables. Shown are axis loadings for PCs with eigenvalues ≥1.0; axis loadings ≥|0.6| are highlighted in bold font.
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