Model selection results.

The AIC is calculated using , where is the number of parameters and is the maximum likelihood for the model. Models 1–8 correspond to a constant growth function. Models 9–16 correspond to a linear growth function. Models 17–24 correspond to a logistic growth function. The removal functions in models 4, 12, and 20 are known as the one-parameter type II function. The removal functions in models 5, 13, and 21 are known as the one-parameter type III function. The removal functions in models 7, 15, and 23 are known as the two-parameter type II function. The removal functions in models 8, 16, and 24 are known as the two-parameter type III function. See Figure 6 for schematic representations of different growth and removal functions. For models 1–5 and models 9–13, and the parameter is . For models 6–8 and models 14–16, and the parameters are and . For models 17–21, and the parameters are and . For models 22–24, and the parameters are , , and .