Table 2. Contribution of habitat variables to predicting giant panda habitat use across their utilization distributions (n = 5).
factor | standardized | 95% CI | P ( = 0) | # pandas | ||
---|---|---|---|---|---|---|
+ | - | |||||
Full | ||||||
elevation | -0.32 | -0.51 | -0.14 | <0.01 | 0 | 5 |
slope | 0.03 | -0.00 | 0.06 | 0.06 | 3 | 0 |
TPI | 0.10 | -0.02 | 0.22 | 0.08 | 4 | 1 |
TPI2 | -0.02 | -0.05 | -0.00 | 0.07 | 0 | 3 |
solar | 0.09 | -0.01 | 0.19 | 0.07 | 4 | 1 |
forest | -0.02 | -0.04 | 0.00 | 0.08 | 0 | 3 |
Spring | ||||||
slope | 0.06 | -0.01 | 0.12 | 0.08 | 4 | 0 |
TPI | 0.08 | -0.01 | 0.18 | 0.07 | 3 | 0 |
solar | 0.13 | 0.01 | 0.24 | 0.04 | 5 | 0 |
Summer-Autumn | ||||||
elevation | -0.26 | -0.41 | -0.10 | <0.01 | 0 | 4 |
forest | -0.08 | -0.15 | -0.00 | 0.04 | 0 | 3 |
clumpiness3 | 0.06 | 0.00 | 0.12 | 0.04 | 3 | 0 |
Winter* | ||||||
solar | 0.12 | 0.03 | 0.20 | 0.02 | 2 | 0 |
forest | -0.05 | -0.12 | 0.01 | 0.09 | 0 | 1 |
*only 3 pandas had data available for this season