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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])
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BMC Ecology and Evolution

ISSN: 2730-7182

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