Table 3.

Outputs of the global (full) versus best-supported (minimal) models of effects that influence strongylid and tapeworm egg counts (per gram) in fecal samples obtained during Virunga 2015–2016 population survey of mountain gorillas. PC1 and PC2 represent the first two dimensions of principal components for vegetation and climate characteristics (see Statistical analyses for details). Status = monitoring (habituation) status, Density = mean relative density of gorillas per MCP, PC1 = first principal component, PC2 = second principal component, MCP = area of 500-m buffered minimum convex polygon of detected nest sites per gorilla group (see Minimum convex polygon calculation and Statistical analyses for details).

Effect	Full model		Minimal model
Strongylids	Df = 18, AIC = 1721.7		Df = 8, AIC = 1712.8
	Chi-square	P value	Chi-square	P value
Monitoring status	5.6	0.02	–	–
Density	3.9	0.05	4.0	0.045
PC1	2.8	0.10	52.5	<0.001
PC2	1.5	0.22	10.1	0.001
Group size	5.0	0.02	–	–
MCP	7.9	0.005	20.0	<0.001
Status*Density	1.8	0.18	–	–
Status*PC1	1.7	0.19	–	–
Status*PC2	1.0	0.32	–	–
Status*MCP	6.6	0.01	–	–
PC1*MCP	0.1	0.72	–	–
PC1*Density	1.2	0.27	–	–
PC2*MCP	1.2	0.28	–	–
PC2*Density	2.1	0.15	–	–
Tapeworms	Df = 18, AIC = 1908		Df = 10, AIC = 1926
	Chi-square	P value	Chi-square	P value
Monitoring status	24.5	<0.001	0.94	0.33
Density	1.8	0.18	–	–
PC1	0.0	0.98	2.2	0.14
PC2	20.0	<0.001	6.1	0.01
Group size	3.2	0.07	–	–
MCP	22.5	<0.001	0.5	0.47
Status*Density	10.9	<0.001	–	–
Status*PC1	25.8	<0.001	6.6	0.01
Status*PC2	1.9	0.17	–	–
Status*MCP	28.5	<0.001	–	–
PC1*MCP	17.2	<0.001	5.0	0.03
PC1*Density	14.6	<0.001	–	–
PC2*MCP	13.1	<0.001	–	–
PC2*Density	1.4	0.24	–	–