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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
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