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Table 1 Ranking of Linear Mixed-effects Model for three modular traits

From: A case of modular phenotypic plasticity in the depth gradient for the gorgonian coral Antillogorgia bipinnata (Cnidaria: Octocorallia)

Trait Model AIC Δi d.f. Weight
Vertical length variation TgHt, Mrph 673.3 0.00* 6 0.343
TgHt 673.5 0.19* 5 0.311
TgHt, Mrph, TgHt:Mrph 674.3 1.02* 7 0.205
Mrph 676.4 3.07 5 0.074
  676.5 3.25 4 0.067
Horizontal length variation TgHt, Mrph 580.1 0.00* 6 0.742
TgHt, Mrph, TgHt:Mrph 582.4 2.25 7 0.240
Mrph 587.8 7.66 5 0.016
TgHt 592.3 12.15 5 0.002
  598.6 18.50 4 0.000
New branches promotion TgHt 855.6 0.00* 5 0.427
TgHt, Mrph 856.2 0.52* 6 0.329
TgHt, Mrph, TgHt:Mrph 856.9 1.22* 7 0.232
  863.9 8.30 4 0.007
Mrph 864.5 8.84 5 0.005
  1. Each model incorporates both fixed- and random—effects terms in the linear predictor expression, from which the conditional mean of the response can be evaluated. AIC Akaike information criterion, Δi delta in AIC score with respect to the best model, d.f. degrees of freedom TgHt Target Habitat; Mrph, Morphotype. AIC values below two are marked with asterisks