Table 2.
Variable Type | Variable | Best scale (tiger) | Best scale (leopard) |
---|---|---|---|
Topographic | Elevation | 24,500 | 24,500 |
Slope | 17,500 | 14,000 | |
Aspect | 3,500 | 28,000 | |
Terrain roughness | 24,500 | 17,500 | |
River density | 1,000, 2,000, 3,000 | 1,000, 2,000, 3,000 | |
Climatic | Bio1 | 28,000 | 24,500 |
Bio2 | 28,000 | 24,500 | |
Bio3 | 17,500 | 24,500 | |
Bio4 | 7,000 | 21,000 | |
Bio5 | 21,000 | 7,000 | |
Bio6 | 21,000 | 14,000 | |
Bio7 | 21,000 | 7,000 | |
Bio8 | 28,000 | 24,500 | |
Bio9 | 28,000 | 24,500 | |
Bio10 | 28,000 | 28,000 | |
Bio11 | 14,000 | 21,000 | |
Bio12 | 7,000 | 24,500 | |
Bio13 | 7,000 | 3,500 | |
Bio14 | 14,000 | 10,500 | |
Bio15 | 28,000 | 28,000 | |
Bio16 | 7,000 | 28,000 | |
Bio17 | 28,000 | 28,000 | |
Bio18 | 24,500 | 7,000 | |
Bio19 | 17,500 | 17,500 | |
Actual evapotranspiration (summer) | 10,500 | NA | |
Actual evapotranspiration (monsoon) | 17,500 | NA | |
Actual evapotranspiration (winter) | NA | NA | |
Landscape composition | Sal dominated | 28,000 | 21,000 |
Sal mix | 28,000 | 21,000 | |
Dry deciduous | 24,500 | 28,000 | |
Moist deciduous | 28,000 | 14,000 | |
Degraded | 3,500 | 24,500 | |
Scrub | 28,000 | 21,000 | |
Vegetation cover | NDVI (summer) | 7,000 | 14,000 |
NDVI (winter) | 21,000 | 17,500 | |
NDVI (monsoon) | 28,000 | 10,500 | |
Human influenced | Human settlements | 7,000 | 28,000 |
Human population density | 3,500 | 21,000 | |
Road density | 1,000, 3,000, 4,000 | 1,000, 3,000, 4,000 | |
Farmlands (croplands) | 7,000 | 10,500 |
Predictor variables are classified in five groups (Topographic, climatic, landscape composition, vegetation and human influenced). Road and river density were calculated at four different spatial scales (1, 2, 3, 4 km). Actual evapotranspiration were not used in the models of leopard and in case of tiger, actual evapotranspiration in winter season was not used.