Table 5.
Open in new tab

RJ MCMC model scores for the combined dataset when pollination syndromes are scored as binary traits (present/absent)

Pollinator typeModelLog marginal likelihoodBF
BeeDependent–192.15368612.01
Independent–198.156587
ButterflyDependent–184.33591227.64
Independent–198.156587
BirdDependent–106.385056–2.14
Independent–105.311592
AutogamyDependent–148.681805–6.53
Independent–145.415361
Pollinator typeModelLog marginal likelihoodBF
BeeDependent–192.15368612.01
Independent–198.156587
ButterflyDependent–184.33591227.64
Independent–198.156587
BirdDependent–106.385056–2.14
Independent–105.311592
AutogamyDependent–148.681805–6.53
Independent–145.415361

The dependent model indicates evolution of one trait dependent on the state in the other trait, whereas traits evolve independently in the independent model.

Table 5.
Open in new tab

RJ MCMC model scores for the combined dataset when pollination syndromes are scored as binary traits (present/absent)

Pollinator typeModelLog marginal likelihoodBF
BeeDependent–192.15368612.01
Independent–198.156587
ButterflyDependent–184.33591227.64
Independent–198.156587
BirdDependent–106.385056–2.14
Independent–105.311592
AutogamyDependent–148.681805–6.53
Independent–145.415361
Pollinator typeModelLog marginal likelihoodBF
BeeDependent–192.15368612.01
Independent–198.156587
ButterflyDependent–184.33591227.64
Independent–198.156587
BirdDependent–106.385056–2.14
Independent–105.311592
AutogamyDependent–148.681805–6.53
Independent–145.415361

The dependent model indicates evolution of one trait dependent on the state in the other trait, whereas traits evolve independently in the independent model.

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