Table 2 Generalized Additive Models for alpha diversity and environmental conditions

From: Host dispersal relaxes selective pressures in rafting microbiomes and triggers successional changes

Component

Term

Estimate

Std Error

t-value

p-value

A. parametric coefficients

(Intercept) - Richness

4.831

0.035

137.197

<0.0001

Component

Term

edf

Ref. df

F-value

p-value

B. smooth terms

s(Mean σ-SST)

3.305

3.739

12.961

0.0068

s(Mean SST)

3.078

3.534

35.091

<0.0001

Adjusted R-squared: 0.152, Deviance explained 0.194 -REML: 1619.032, Scale est: 1.000, N: 178

Component

Term

Estimate

Std Error

t-value

p-value

A. parametric coefficients

(Intercept) - Evenness

0.696

0.030

23.033

0.0000

Component

Term

edf

Ref. df

F-value

p-value

B. smooth terms

s(Raft Time)

5.398

6.329

19.560

0.0037

s(Mean σ-SST)

5.325

6.200

20.353

0.0025

s(Mean SST)

2.729

3.258

6.814

0.0942

Adjusted R-squared: 0.261, Deviance explained 0.324 -REML: −277.821, Scale est: 1.000, N: 178

  1. Results from generalized additive models for predicting richness and evenness of microbial communities associated with Durvillaea. Richness was modelled using negative binomial family, and evenness with a beta regression family. In both instances, final models were chosen based on concurvity values and AIC scores. GAMs were produced using the mgcv R package.