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Table 1 Proportion of genetic variance explained by geographic or climatic variation

From: The dual role of Andean topography in primary divergence: functional and neutral variation among populations of the hummingbird, Metallura tyrianthina

 

DA

Fst/(1-Fst)

Model

Geography

Climate

Shared

Geography

Climate

Shared

geog + [clim1,clim2]

0.4001

−0.0278

0.0660

0.1557

0.0078

0.0969

geog + clim1

0.4838*

0.0102

−0.0176

0.2332

0.0578

0.0194

geog + clim2

0.3392*

−0.0841

0.1270

0.1010

−0.1316

0.1516

geog + [temp,seas,prec]

0.8526***

0.4035*

−0.3864

0.2404

0.1287

0.0122

geog + prec

0.4832*

0.0095

−0.0170

0.2321

0.0569

0.0205

geog + seas

0.4865*

0.054

−0.0204

0.3068

0.0545

−0.0545

geog + temp

0.4917*

−0.0295

−0.0256

0.2047

−0.0928

0.0479

geog + [prec,seas]

0.3636

−0.047

0.1026

0.1007

−0.0349

0.1518

geog + [prec,temp]

0.5093

−0.0238

−0.0432

0.1870

−0.0294

0.0655

geog + [seas,temp]

0.6909***

0.2009

−0.2248

0.3160

0.0240

−0.0635

  1. Geographic distance (geog) is the Euclidean distance among sampling sites and climate is the proportion of variance explained by the different climatic variables included in each model. Clim1 and clim2 are the first two principal components of the entire 19 variable BioClim dataset, explaining 97 % of the variance in total. Temp, seas, and prec are the first principal components for temperature, seasonality, and precipitation BioClim variables, respectively. The proportion of variance shared by both geography and climate is reported in the columns labeled ‘shared’. High ‘shared’ values would indicate collinearity between ecological and geographic parameters; negative values are an artifact of subtracting adjusted R2 values to derive the shared proportion of variance [83]
  2. *p < 0.5; **p < 0.01; ***p < 0.001