Spatial scales | Models | Variables (β estimate ± SE) | t values | AICc values |
---|---|---|---|---|
Local scale | 1. glm(Bird diversity ~ WA + DB + AF +  TC + OG + BA) | WA = − 0.01 ± 0.016 DB = 0.04 ± 0.016 AF = 0.011 ± 0.013 TC = 0.006 ± 0.013 OG = 0.02 ± 0.013 BA = − 0.052 ± 0.014 | WA = − 0.627 DB = 2.543 AF = 0.862 TC = 0.471 OG = 1.509 BA = − 3.802 | 288.85 |
2. glm(Bird diversity ~ DKB) | DKB = 0.075 ± 0.013 | DKB = 5.848 | 272.82 | |
3. glm(Bird diversity ~ WA + DB + AF +  TC + OG + BA + DKB) | WA = − 0.001 ± 0.015 DB = 0.031 ± 0.016 AF = − 0.011 ± 0.014 TC = 0.007 ± 0.014 OG = 0.009 ± 0.013 BA = − 0.046 ± 0.013 DKB = 0.072 ± 0.014 | WA = − 0.046 DB = 1.975 AF = − 0.823 TC = 0.521 OG = 0.709 BA = − 3.417 DKB = 5.169 | 264.45 | |
Landscape scale | 1. glm(Bird diversity ~ PC1 + PC2 + PC3) | PC1 = 0.069 ± 0.022 PC2 = 0.017 ± 0.022 PC3 = 0.083 ± 0.022 | PC1 = 3.066 PC2 = 0.779 PC3 = 3.699 | 119.02 |
2. glm(Bird diversity ~ DKB) | DKB = 0.095 ± 0.023 | DKB = 4.199 | 120.6 | |
3. glm(Bird diversity ~ PC1 + PC2 + PC3  + DKB) | PC1 = 0.119 ± 0.022 PC2 = 0.045 ± 0.021 PC3 = 0.077 ± 0.020 DKB = 0.142 ± 0.022 | PC1 = 5.406 PC2 = 2.148 PC3 = 3.759 DKB = 6.351 | 83.49 |