Density of Peruvian anchovy is significantly influenced by various oceanographic variables, indicating complex ecological interrelations.
The model revealed that spatiotemporal factors play a crucial role in predicting anchovy density, highlighting their importance in fisheries management.
Using Generalized Additive Models for Location Scale and Shape, the analysis captures the nuanced relationships between environmental factors and fish density.
Findings underscore the need for adaptive management strategies in fisheries to account for environmental variability and climate impacts.