“…Thus, SEVM is a popular spatial model in applied studies (Pace et al., ). Indeed, many studies also suggested that SEVM can achieve the aim of accounting for spatial autocorrelation in ecological data (Fergnani, Ruggiero, Ceccarelli, Menu, & Rabinovich, ; Gouveia, Hortal, Cassemiro, Rangel, & Diniz‐Filho, ; McClain, Allen, Tittensor, & Rex, ; Murakami & Griffith, ; Yang et al., ). A truncation distance of 215.9 km for males and 316.9 km for females, calculated in SAM (Spatial Analysis in Macroecology), version 4.0 (Rangel, Diniz‐Filho, & Bini, ), was used to create the spatial filters.…”