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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

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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