Skip to main content

Table 1 Summary statistics for the fit of models of phenotypic evolution in the multivariate shape datasets of Skull and limbs (all four limb bones’ analysed together): maximum likelihood estimate (ln L), sample-size corrected Akaike’s Information Criterion (AICc), and Delta AICc (∆AICc, difference between a model and the model with the lowest AICc)

From: Phylogenetic conservatism in skulls and evolutionary lability in limbs – morphological evolution across an ancient frog radiation is shaped by diet, locomotion and burrowing

Variable

SKULL

LIMBS

ln L

AlCc

∆AlCc

ln L

AlCc

∆AlCc

BM1

395.321

−851.309

100.238

586.680

−1234.026

117.504

BMM

437.403

−925.206

26.341

645.680

−1341.761

9.769

OU1

414.072

−878.544

73.003

611.689

−1273.778

77.752

OUM

427.652

−904.941

46.606

629.454

−1308.544

42.986

EB

392.314

−844.888

106.659

583.708

−1227.677

123.853

BM_EB

401.074

−862.409

89.138

586.723

−1233.707

117.823

EB_BM

400.259

−860.780

90.767

586.626

−1233.512

118.018

BM_EBi

447.326

−944.969

6.578

649.317

−1348.950

2.580

EB_BMi

450.615

−951.547

0

650.606

−1351.530

0

BM_OU

445.226

−940.852

10.695

620.337

−1291.075

60.455

OU_BM

425.734

−901.867

49.680

618.049

−1286.499

65.031

BM_OUi

448.231

−943.881

7.666

645.977

−1339.372

12.158

OU_BMi

330.765

−708.949

242.598

404.802

−857.024

494.506

EB_OU

408.027

−866.371

85.177

598.161

−1246.638

104.892

OU_EB

430.634

−911.585

39.962

617.650

−1285.623

65.907

EB_OUi

446.735

−940.855

10.692

649.460

−1346.304

5.226

OU_EBi

332.339

−712.063

239.484

407.160

−861.704

489.826

  1. We tested the fit of the following evolutionary models: BM1 = Brownian Motion (unique rate), BMM = Brownian Motion (multiple rates), EB = Early Burst, and 12 evolutionary models with shifts from one model to another (e.g. BM_EB = shift of a BM to EB process, EB_BM = shift of EB to BM, BM_EBi = BM_EB with independent rates, EB_BMi = EB_BM with independent rates, etc.). Analyses were performed in R using the functions mvBM(), mvOU(), mvEB() and mvSHIFT() from the R package mvMORPH (Clavel et al., [71])