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Table 2 Best-fit PGLS models. Overall, wing patches were best predicted by climate, while we found no relationship between face color and biogeographic variables. Models were selected for each patch subset and each color principal component. Coefficients are presented in the order that they are listed under the “predictors” column, with the intercept value as the last coefficient

From: Macroevolutionary bursts and constraints generate a rainbow in a clade of tropical birds

Predictors

AIC

Adj-R-Sqaured

P-Value

Coefficients

Patch Subset

Color PC

Ppc1 + Alt

219.4

0.0367

0.0719

2.42167x + 0.00029x + −0.00835

Wing

1

Ppc1 + Ppc3

279.7

−0.0032

0.4273

2.97335x + 0.00028x + 0.00094

Wing

2

Tpc1 + Tpc3 + Ppc1 + Ppc3 + Alt

236.2

0.1203

0.0068

1.42404x + −0.00068x + 0.03842x + 0.0016x + 0.00191x + 0.01336

Wing

3

Ppc3 + Alt

257.2

0.0152

0.1894

3.60072x + −0.00101x + 0.006

Face

1

Ppc1 + Alt

259.4

0.0105

0.2335

3.16067x + −0.00024x + 0.00789

Face

2

Tpc3 + Alt

269.0

−0.0053

0.4687

2.74926x + 0.02832x + 0.00556

Face

3

Ppc3 + Alt

247.2

0.0561

0.0293

4.54306x + −0.00171x + − 0.00519

Abdomen

1

Ppc1 + Alt

303.8

0.0133

0.2064

3.93479x + −0.00054x + 0.00722

Abdomen

2

Tpc1 + Ppc2

280.3

0.0257

0.1185

2.18623x + −0.00026x + 0.00086

Abdomen

3

Ppc2 + Ppc3

469.3

0.0499

0.0392

17.80537x + −0.00178x + − 0.00575

All

1

Ppc1 + Ppc2

477.6

−0.0012

0.3915

19.72418x + −0.001x + − 0.00154

All

2

Tpc1 + Ppc1 + Ppc3

505.6

0.0331

0.1161

13.56358x + −0.00497x + 0.0089x + 0.00577

All

3