Table 3 Selection of the most informative model (using the Akaike information criterion) to explain the variability of the frequency of parasitized fish larvae species considering as predictors the variables larval fish abundance, season (Spring–Summer and Autumn–Winter), fish species (H. cunninghami, A. crinitus, G. marmoratus, Myxodes sp., O. jenynsi), and area (Isla Santa María and Punta Coloso).

From: Modelling seasonal patterns of larval fish parasitism in two northern nearshore areas in the Humboldt Current System

Type of model

Model

Akaike information criterion (AIC)

Generalized linear model delta-Gamma

Parasite frequency = Larval fish abundance + Season + Fish species + Area

279.4

Generalized linear model negative binomial Zero-inflated (delta-Negative binomial)

Parasite frequency = Larval fish abundance + Season + Fish species + Area

286.4

Generalized linear model Poisson Zero-inflated (delta-Poisson)

Parasite frequency = Larval fish abundance + Season + Fish species + Area

384.2