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Table 2 Models describing variables affecting the dispersal phase of red pandas (with dispersal phase as reference)

From: Movement and dispersal of a habitat specialist in human-dominated landscapes: a case study of the red panda

Models#

df

AIC

ΔAIC

weight

Step_leng + TPI + Elev + Catt_dist + Trac-dis

6

262.2

0

0.67

Step_leng + TPI + Slope + Elev + Catt_dist + Trac_dist

7

264.2

2.01

0.24

TPI + Elev + Catt_dist + Trac_dist

5

268.2

5.97

0.03

Step_leng + Elev + Catt_dist + Trac_dist

5

268.5

6.28

0.03

  1. We included step length, Topographic Position Index, aspect, slope, elevation, distance to road, and distance to cattle stations as predictors. First four top models resulting from model selection based on AIC are shown. Models with ΔAIC < 4 were averaged
  2. #Step_leng: step length, TPI: Topographic Position Index, Catt_dist: distance to cattle station, Trac_dist: distance to walking tracks
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Movement Ecology

ISSN: 2051-3933