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. 2016 Sep 14;11(9):e0162266. doi: 10.1371/journal.pone.0162266

Table 2. Contribution of habitat variables to predicting giant panda habitat use across their utilization distributions (n = 5).

Only significant variables are shown.

factor standardized  β¯^ 95% CI P (β¯ = 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