Table 1.

Results of three Bayesian Regression Models based on weak priors testing the probability of occurrence of all 31 behaviours in a chimpanzee community (N = 144) as a function of three predictors of environmental variability.

		Estimate	Sd	CI 2.5%	CI 97.5%	Post. dist. >0
	Intercepta	−4.410	0.499	−5.428	−3.463	–
Environmental variability predictors	Distance to refugia	0.523	0.228	0.072	0.977	0.990
	CV precipitation	0.314	0.255	−0.199	0.794	0.888
	Habitat_savannah	0.608	0.596	−0.591	1.745	0.849
Control predictorsa	Human footprint	−0.300	0.161	−0.630	0.004	0.031
	Observation months	0.905	0.294	0.327	1.491	0.998
	ssp_ellioti	0.112	0.692	−1.302	1.402	0.577
	ssp_schweinfurthii	−0.173	0.547	−1.258	0.876	0.400
	ssp_troglodytes	0.227	0.645	−1.085	1.445	0.544

^aAverage given across all three models.

The mean of the marginal posterior distribution (estimate), standard deviation of the marginal posterior distribution (sd) and the 2.5% and 97.5% credible intervals centred on the mean (CI) and proportion of the posterior distribution greater than zero are given.