Table 1.
Effect of the number of tourists together with the potential confounding factor of type of sediment granulometry and beach length on the richness of meiofaunal ZOTUs (zero-radius operational taxonomic units) at the three water depths, according to a type II ANOVA output of generalized linear models.
| Predictor | LR Chisq | Estimate ± s.e. | df | P |
|---|---|---|---|---|
| Swash | ||||
| Tourists | 4.786 | −0.170 ± 0.078 | 1 | 0.028 |
| Granulometry | NA | NA | NA | NA |
| Length | 0.003 | −0.004 ± 0.072 | 1 | 0.956 |
| Shallow | ||||
| Tourists | 0.000 | −0.005 ± 0.300 | 1 | 0.987 |
| Granulometry | 53.428 | NA | 4 | <0.0001 |
| Length | 0.003 | −0.017 ± 0.298 | 1 | 0.957 |
| Deep | ||||
| Tourists | 2.388 | 0.070 ± 0.045 | 1 | 0.122 |
| Granulometry | 101.570 | NA | 4 | <0.0001 |
| Length | 0.060 | 0.011 ± 0.043 | 1 | 0.807 |
LR Chisq likelihood ratio chi-square values, df degrees of freedom, P chi-square goodness of fit, s.e. standard error. Differences in granulometry were not analysed at the swash level because only one granulometry type was present for the level. P values for significant predictors are marked in bold.