Table 1. Ranking of AICc values of 16 competing models, with different sets of explanatory variables for the multiplicative population growth between two consecutive years. The models build on a null model with log link function and COM-Poisson error, where the number of territories is (technically) the response variable, explained with region and an offset variable, which is the natural logarithm of the number of territories previous year (i.e., R-syntax for the formula: TERRI ~ 0 + region + offset(log(TERPRE))). The column “Additional explanatory variables” describes which other fixed effects variables are included. “K” is the number of estimated parameters, “logLik” the log-likelihood, “AICc” the Akaike information criterion corrected for small sample size, “ΔAICc” the difference in AICc compared with the most parsimonious model, and “w” is the Akaike weight.