Hybrid poplar plantations are suitable habitat for reintroduced forest herbs with conservation status

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Table 3 Regression coefficients and relative importance of environmental variables predicting responses of forest herb species

		Environmental variable
Response variable	Statistic	Elevation	June soil moisture	Soil C:N ratio	Soil Ca	Soil Mg	Soil P	Leaf litter biomass	Diffuse light	Marginal R²of best model*
Asarum: Number of leaves and flowers per plot	Best model coefficients		−0.43		0.20					0.31
	Multi-model average coefficients	−0.22	−0.41	−0.08	0.20	−0.01	0.08	0.01	−0.10
	Importance	0.14	1.00	0.17	0.66	0.11	0.13	0.10	0.31
Sanguinaria: Number of leaves and flowers per plot	Best model coefficients	−0.61		−0.56						0.60
	Multi-model average coefficients	−0.61	−0.09	−0.55	−0.07	−0.06	0.11	−0.03	−0.01
	Importance	0.74	0.11	1.00	0.07	0.06	0.15	0.06	0.05
Maianthemum: Sum of leaf lengths per plot	Best model coefficients		−0.33		0.33	−0.37			−0.49	0.36
	Multi-model average coefficients	−0.18	−0.35	0.20	0.36	−0.40	0.03	−0.15	−0.49
	Importance	0.19	0.94	0.31	0.88	0.90	0.10	0.15	1.00
Maianthemum: Number of plants flowering	Best model coefficients	−0.56							−0.26	0.41
	Multi-model average coefficients	−0.55	−0.13	−0.10	−0.07	−0.09	0.01	−0.10	−0.29
	Importance	1.00	0.17	0.22	0.06	0.15	0.07	0.18	1.00
Trillium: Sum of leaf lengths per plot	Best model coefficients			0.30	−0.66					0.19
	Multi-model average coefficients	−0.43	0.13	0.30	−0.61	−0.41	−0.02	−0.15	−0.03
	Importance	0.03	0.09	0.53	0.78	0.22	0.07	0.12	0.08
Trillium: Number of plants flowering	Best model coefficients							−0.43		0.16
	Multi-model average coefficients		−0.02	0.09	0.07	−0.02	−0.19	−0.44	−0.18
	Importance		0.05	0.10	0.11	0.10	0.15	0.67	0.08

* Represents the proportion of the total variance in the data explained by the fixed effects (Nakagawa and Schielzeth 2013).
Importance values > 0.5 are indicated in bold.