Table 4. Results of GLM models with insect species richness (at the square level) as the response variable.

The model was first run with the entire dataset (i.e. all species for both seasons), and then on subsets of the data (i.e. seasons separately, and main insect orders separately). Data from all 60 sampled squares were included.

Insect richness dataset		Plant components				Extrinsic components		Model fit
		Plant richness	Structural diversity	Structural complexity	Flowering	Vegetation age	Elevation	R2
Overall	All	(+) 0.012*				(+) 0.015*		0.16
Subset	Autumn		(+) 0.005*	(-)0.157	(+) 0.004*			0.18
	Spring			(-) 0.008*				0.10
	Hemiptera		(+) 0.022*	(-) 0.486				0.07
	Coleoptera	(+) 0.006*		(-) 0.025*				0.10

P-values of all predictors included in each model are shown and significant values are indicated with an asterisk (*). The last column depicts model fit (R²). The direction of effects are indicated in brackets.