Table 2.
Generalized Additive Models for alpha diversity and environmental conditions
| 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 | |||||
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.