Table 4.

Model selection of PERMANOVA models based on the weighted UniFrac metric according to sheep identity and preservation treatment; showing number of parameters (k), log-likelihood (logLik), AICc of the models, change in AICc compared to the best-ranked model (ΔAICc), and Akaike model weights (ω).

Model Rank	Sheep identity	Preservation treatment	K	logLik	AICc	ΔAICc	ω
(A) DATASET WITH INDIVIDUAL R ONLY
1		+	8	81.882	−143.263	0	1
2			2	62.762	−121.208	22.06	<0.001
(B) DATASET WITH ALL INDIVIDUALS
1	+	+	19	191.610	−337.135	0	1
2	+		12	160.166	−293.244	43.89	<0.001
3			2	76.07298	−148.038	189.10	<0.001
4		+	9	82.955	−146.180	190.96	<0.001