We constructed a series of generalised linear models using the glm function in the stats R library [45] to test for the relative effects of habitat type (open, sparse, dense [vegetation]) and species (pig or deer) on the shots (number of shots taken; number of impact shots). We applied a Poisson error distribution and a log link-function, and log10-transformed the time data with a Gaussian error distribution. For each variable we contrasted five models, including the two additive main effects, their interaction, single effects, and the intercept-only model. We compared the relative probability of the five models per response variable using Akaike’s information criterion corrected for small sample size (AICc) [46]. The bias-corrected relative weight of evidence for each model, given the data and the suite of candidate models considered, was the AICc weight (the smaller the weight, the lower its contribution to parameter estimates) [46]. We also calculated the percent deviance explained (%DE) as a measure of goodness of fit. For the habitat models, there was a single entry in the ‘open’ category for pigs, so we removed that category from all analyses. We also constructed Kaplan-Meier survival curves using the survival package [47] in R.