Supplementary Material s37

Supplementary material

(Supplementary) Figure 1. Areas identified as potentially suitable to support wild dog dispersal. The effect of wild dog group size on model output was investigated. Using the same set of predictor variables, the model was run using occurrence records where wild dog group size numbered a) ≤ 2 (n = 119), b) ≤ 4 (n = 290), c) ≤ 6 (n = 195) and d) ≤ 8 (n = 426). Black = most suitable; white = totally unsuitable. Protected areas which served as potential source populations are shown in green. (Supplementary) Figure 2. The a) current flow model, b) Maxent dispersal model, and c) Maxent pack model reclassified into binary maps. The threshold at which 20% of occurrence records were omitted was identified and used for binary reclassification. The resulting thresholds for the current flow, disperser, and pack model were respectively 0.1564, 0.3432, and 0.1207. Protected areas which served as potential source populations are shown in green. (Supplementary) Table 1. Environmental predictor variables, and their respective weights, which were used to create the cost layer used in the connectivity analyses.

Variable Classes and class weights Source Layer weight Land cover a. Natural vegetation = 1 National land 5 b. Degraded = 1 cover map c. Cultivation = 4 d. Water bodies = 10 e. Plantations = 4 f. Mines = 10

2 Human population density a. 0-5 people per km = 1 Environmental 10 2 b. 5-10 people per km = 2 potential 2 c. 10-25 people per km = 4 atlas d. 25-50 people per km2 = 7 e. 50-100 people per km2 = 9 f. >100 people per km2 = 10

Main road density a. 0 – 3 = 1 Environmental 5 b. 3,1 – 7 = 2 potential c. 7,1 – 10 = 4 atlas d. 10,1 – 18,5 = 6 e. 18,6 – 30,155 = 10

Steep mountain slopes a. Steep slopes = 10 Derived from 90m 5 DEM (see text b. All other areas = 0 above)