Knowledge and valuation of Andean agroforestry species: the role of sex, age, and migration among members of a rural community in Bolivia

Table 4 Effects of socio-economic variables on uses of woody species

Fixed effects	BD	BeC	BuC	CB	EG	GP	KS	LG	MO	PS	PL	SP	SM	SA
Intercept	1.614	1.322	0.588	0.876	1.594	0.847	1.119	1.335	1.055	1.405	2.001	1.476	1.527	1.122
age [a]	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	0.009***	ns
sex(men)	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	−0.052
migration(yes)	ns	−0.716**	ns	ns	ns	−0.934**	ns	ns	ns	ns	−0.296*	ns	ns	0.200
age:sex(men)	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns
sex(men):migration(yes)	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	−0.913*
age:migration(yes)	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns
age:sex(men):migration(yes)	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns	ns

Parameter estimates for the effects of the socio-economic variables of age (continuous), sex, migration, and all possible two-way-interactions on the number of use-types mentioned for 14 selected species (see Table 1). Results based on the minimal adequate generalised linear models (GLM) with count data as response variables. Significance of main effects determined by F-tests (for quasi-Poisson error distribution) and likelihood ratio tests (for Poisson error distribution). Terms: ns, not significant; levels of significance: *, p < 0.05; **, p < 0.01; ***, p < 0.001.

ISSN: 1746-4269