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Table 4 The multiple logistic regression-based likelihoods for grouse broods in relation to forest habitat variables measured at a radius of 500 m spatial scale. The model fit was χ2 = 125.6, df = 4, P <  0.001

From: Trade-offs between wood production and forest grouse habitats in two regions with distinctive landscapes

Independent variable

Coefficient

S.E.

Wald

df

P

Intercept

−1.106

0.207

28.653

1

<  0.001

Mixed forest (%)

1.850

0.313

35.013

1

<  0.001

Old forest (%)

0.853

0.189

20.338

1

<  0.001

Pine forest (%)

0.633

0.273

5.383

1

<  0.05

Spruce forest (%)

−5.168

0.574

81.093

1

<  0.001