Table 2 Results of core territory characteristics of Chinese Grouse using logistic regression, with their regression estimate coefficients β, p values and R ² values presented

From: The importance of willow to the Chinese Grouse: evidence from analysis on their breeding territories at Lianhuashan, China

Variable	Univariable models			Multivariable model
Variable	β	p	R ²	β	SE	p
Intercept				− 9.879	2.220	< 0.001
Small deciduous trees	0.003	< 0.001	0.644	0.002	0.0006	0.0005
Small willow trees	0.005	< 0.001	0.626	0.005	0.002	0.005
Willow cover	39.032	< 0.001	0.621	24.631	6.944	0.009
Herb cover	33.903	< 0.001	0.472	23.178	8.642	0.007
Slope aspect	0.427	0.012	0.021
Slope gradient	− 0.061	< 0.001	0.066
Dead wood	− 0.0004	0.008	0.024
Tall deciduous trees	0.001	< 0.001	0.156
Tall willow trees	0.002	< 0.001	0.139
Tall coniferous trees	− 0.004	< 0.001	0.470
Rowan trees	0.0004	< 0.001	0.094
Grass cover	2.834	< 0.001	0.050

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