Table 4.
Summary of the traits-impervious surfaces model.
Predictor | Coefficient (± SE) | z-value | p value (adj) |
---|---|---|---|
Proportion of impervious surfaces | − 0.20 (0.05) | − 3.89 | < 0.0001 |
Traits, no interaction | |||
Nesting: above versus below | 0.02 (0.18) | 0.09 | 0.92 |
Lectism: specialist versus generalist | − 0.54 (0.17) | − 3.16 | 0.002 |
Sociality: solitary versus social | − 0.96 (0.23) | − 4.08 | < 0.0001 |
Size: large versus small | − 0.17 (0.16) | − 1.02 | 0.31 |
Traits, interacting with proportion of impervious surfaces | |||
Nesting: above versus below | 0.31 (0.03) | 11.4 | < 0.0001 |
Lectism: specialist versus generalist | − 0.09 (0.03) | − 3.03 | 0.002 |
Sociality: solitary versus social | − 0.08 (0.03) | − 2.68 | 0.007 |
Size: large versus small | − 0.02 (0.02) | − 0.69 | 0.49 |
Predictor | Chisq | p value | |
---|---|---|---|
Biogeographical zone | 56.877 | < 0.0001 |
p values in bold are significant (α = 5%). The significance of the categorical variable “Biogeographical zone” was evaluated using a Likelihood Ratio Test. This model is a mixed-effect model, the random variables included are the sites ID, nested in the sampling categories, as well as the species names. Coefficients are given with their standard error. Traits in bold are the reference modalities. p value(adj) means that p-values were adjusted with the False Discovery Rate adjustment method.