Flexible characterization of animal movement pattern using net squared displacement and a latent state model

Table 2 Proportion of simulated movement types classified into each movement based on simple set of rules

Predicted	Criteria		Dispersal	Migration	Nomadic	Home-ranging
	P(q _ij )	M₂-M_1–3
Dispersal	q ₁₁ > 0.95 q ₂₂ > 0.95 q ₃₃ > 0.85	=0	0.98 (0.88)	0.00 (0.06)	0.06 (0.58)	0.00 (0.12)
Migration	q ₁₁ > 0.95 q ₂₂ > 0.95 q ₃₃ > 0.85	>0	0.00 (0.11)	0.99 (0.94)	0.07 (0.18)	0.00 (0.03)
Nomadic	q ₁₁ > 0.95 q ₂₂ > 0.90 q ₃₃ < =0.85		0.02 (0.01)	0.00 (0.00)	0.83 (0.20)	0.00 (0.00)
Home- ranging	q ₂₂ < =0.90 q ₃₃ < =0.90		0.00 (0.00)	0.00 (0.00)	0.01 (0.04)	1.00 (0.85)
Uncertain	Else		0.00	0.00	0.02	0.00

Criteria are based on the matrix of switching probability (representing the probability q of switching from mode i to j) and whether an individual departed the second encamped mode (M2). Numbers in parentheses reflect predicted strategies based on the non-linear modelling approach proposed by Bunnefeld et al. [14] applied to our simulated movement trajectories

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