. 2019 Mar 2;30(3):821–829. doi: 10.1093/beheco/arz019

Table 2.

Home range and core area size and complexity of coyotes (Canis latrans) across 3 urban landscapes within the Chicago metropolitan area, USA, from 2008 to 2017 based on GPS location data collected every 7.5 h

			Complexity^b
Urban landscape	Home range^a km² (SE)	Core area^a km² (SE)	Home range (SE)	Core area (SE)	Noncontiguous polygons^c (range)
Natural fragment (n = 7)	3.24 (0.32)	0.65 (0.08)	0.20 (0.03)	0.35 (0.03)	1.29 (1–2)
Suburban (n = 7)	2.31 (1.11)	0.22 (0.10)	0.43 (0.06)	0.16 (0.03)	2.14 (1–5)
Highly urbanized (n = 9)	7.05 (2.42)	0.78 (0.31)	0.65 (0.07)	0.30 (0.03)	1.89 (1–4)

^aWe calculated core area (50% isopleth) and home range (95% isopleth) with the LoCoH in the adehabitatHR package (Calenge 2006) in R (R Core Team 2018).

^bWe calculated home range and core area complexity index using the formula: (MCP − LoCoH)/MCP, where MCP is the 95% (50%) MCP.

^cNoncontiguous polygons represent an additional index of home range complexity.