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. 2013 Jun 5;8(6):e65575. doi: 10.1371/journal.pone.0065575

Table 3. Summary of the Random Forest (RF) and General Additive Model (GAM) for the diversity measures.

Diversity measures % RF %GAM Local factors Estuarine/catchment factors
RF GAM RF GAM
α- 30 51 shell +shell-p***, −chl.a: mud* ns ns
γ-site 35 52 shell, med.sand +shell-p***, +shell-r* ns ns
β-site 21 51 shell, med.sand, distance +shell-p***, +shell-r**, s(chl.a)** ns +runoff*, +exotic*
β-conn 46 59 shell −shell-p***, −shell-r**, −coarse* inflow, urban −inflow***, +intertidal** , −runoff.

Percentage of variance explained by each model and the significant effects of the variables at local and estuarine/catchment scales. All the GAMs were significant at p<0.001. Factor shell in the GAM is included as a categorical variable: “shell-p”, presence of shell, and “shell-r”, rare shell content.

***

p<0.001,

**

p<0.01,

*

p<0.05 and.: p<0.01.

“ns”: non-significant effects. +/− indicates the direction of the effects. s(factor) indicates smooth effects. “: ”crossed effects interaction.