SUPPORTING INFORMATION – Journal of Biogeography
The interplay of spatial and climatic landscapes in the genetic distribution of a South American
parrot
Juan F. Masello, Valeria Montano, Petra Quillfeldt, Soňa Nuhlíčková, Martin Wikelski and Yoshan
Moodley
Appendix S2 Supplementary figures (Figs S1–S10)
Figure S1 Plot of the matrix of correlations for latitude, longitude and the 21 climatic
variables from the studied burrowing parrot (Cyanoliseus patagonus) localities.
Variable abbreviations: Mean monthly minimum Temperature (MMminT), Mean monthly maximum
Temperature (MMmaxT), Annual Mean Temperature (MAT), Mean Monthly Temperature Range
(MMTR), Isothermality (Iso), Temperature Seasonality (TS), Maximum Temperature of Warmest
Month (MaxTWaM), Minimum Temperature of Coldest Month (MinTCoM), Temperature Annual
Range (TAR), Mean Temperature of Wettest Quarter (MTWetQ), Mean Temperature of Driest Quarter
(MTDriQ), Mean Temperature of Warmest Quarter (MTWaQ), Mean Temperature of Coldest Quarter
(MTCoQ), Annual Precipitation (AP), Precipitation of Wettest Month (PWetM), Precipitation of Driest
Month (PDriQ), Precipitation Seasonality (PS), Precipitation of Wettest Quarter (PWetQ), Precipitation
of Driest Quarter (PDriQ), Precipitation of Warmest Quarter (PWaQ), Precipitation of Coldest Quarter
(PCoQ). Temperature Seasonality (TS): the standard deviation of the weekly mean temperatures
expressed as a percentage of the mean of those temperatures (i.e. the annual mean). Isothermality
(Iso): the mean diurnal range divided by the Annual Temperature Range. Precipitation Seasonality
(PS): the standard deviation of the weekly precipitation estimates expressed as a percentage of the
mean of those estimates (i.e. the annual mean). See also Supplementary Table S3.
sPCA Eigenvalues
Figure S2 Connection network (a), bar plots showing each component ordered by
eigenvalue (b), and plots of the three components with highest positive eigenvalues (ce)
after sPCA based on temperature (TPC-1 and TPC-2; P = 0.025) at all sampled
burrowing parrot localities. Numbers represent the localities and are given as in Table 2.
For a plot showing the eigenvalue of each component (y-axis) and the amount of genetic
variance it described (x-axis) see Fig. S7. Colonies are colour coded as in Fig. 2. For a
detailed interpretation of the black and white squares and their size see the legend of Fig.
2. TPC: Temperature Principal Component.
Figure S3 Connection network (a), bar plots showing each component ordered by
eigenvalue (b), and plots of the three components with highest positive eigenvalues (ce)
after sPCA based on precipitation (PPC-2 and PPC-3; P = 0.023) at all sampled
burrowing parrot localities. Numbers represent the localities and are given as in Table 2.
For a plot showing the eigenvalue of each component (y-axis) and the amount of genetic
variance it described (x-axis) see Fig. S8. Colonies are colour coded as in Fig. 2. For a
detailed interpretation of the black and white squares and their size see the legend of Fig.
2. PPC: Precipitation Principal Component.
Figure S4 Connection network (a), bar plots showing each component ordered by
eigenvalue (b), and plots of the three components with highest positive eigenvalues (ce)
after sPCA based on precipitation (PPC-3 and PPC-4; P = 0.033) at all sampled
burrowing parrot localities. Numbers represent the localities and are given as in Table 2.
For a plot showing the eigenvalue of each component (y-axis) and the amount of genetic
variance it described (x-axis) see Fig. S9. Colonies are colour coded as in Fig. 2. For a
detailed interpretation of the black and white squares and their size see the legend of Fig.
2. PPC: Precipitation Principal Component.
Figure S5 Connection network (a), bar plots showing each component ordered by
eigenvalue (b), and plots of the three components with highest positive eigenvalues (ce)
after sPCA based on precipitation (PPC-3 and PPC-5; P = 0.007) at all sampled
burrowing parrot localities. Numbers represent the localities and are given as in Table 2.
For a plot showing the eigenvalue of each component (y-axis) and the amount of genetic
variance it described (x-axis) see Fig. S10. Colonies are colour coded as in Fig. 2. For a
detailed interpretation of the black and white squares and their size see the legend of Fig.
2. PPC: Precipitation Principal Component.
Figure S6 The eigenvalue of each component (y-axis) and the amount of genetic
variance it described (x‐axis) for geography (latitude plus longitude).
Figure S7 The eigenvalue of each component (y-axis) and the amount of genetic variance it
described (x‐axis) for TPC‐1 and TPC‐2. TPC: Temperature Principal Component.
Figure S8 The eigenvalue of each component (y-axis) and the amount of genetic variance it
described (x‐axis) for PPC‐2 and PPC‐3. PPC: Precipitation Principal Component.
Figure S9 The eigenvalue of each component (y-axis) and the amount of genetic variance it
described (x‐axis) for PPC‐3 and PPC‐4. PPC: Precipitation Principal Component.
Figure S10 The eigenvalue of each component (y-axis) and the amount of genetic
variance it described (x‐axis) for PPC‐3 and PPC‐5. PPC: Precipitation Principal
Component.