Development of a Sex-Separated Stock Synthesis (SS) model for the South Atlantic hake (Merluccius merluccius) stock

The South Atlantic hake stock has been assessed using GADGET for the last 10 years. However, in 2020 this model was rejected due to convergence problems and a switch was made to other alternative methods. In this framework, it was necessary to look for alternative assessment models, where Stock Synt...

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Bibliographic Details
Main Authors: Izquierdo, Francisco, Cerviño, Santiago, Fernández-Llana, Carmen, Cardinale, Massimiliano, Silva, Cristina, Mendes, Hugo, Silva, Andreia, Pennino, María Gracia
Format: Conference Object
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10508/15795
http://hdl.handle.net/10261/327287
Description
Summary:The South Atlantic hake stock has been assessed using GADGET for the last 10 years. However, in 2020 this model was rejected due to convergence problems and a switch was made to other alternative methods. In this framework, it was necessary to look for alternative assessment models, where Stock Synthesis (SS) is one of the most widely used at present. As an integrated model, SS allows the input of incomplete trends of data from different sources, such as catch data, catch per unit effort (CPUE) or surveys. Among the multiple configurations of SS we can find the single biology (gender, growth and natural mortality) or the separate sex alternative. In addition, each population entity starts to grow at the beginning of the year, but different recruitment peaks can be specified. European hake is a highly dimorphic species (as females are considerably larger than males) that has different spawning peaks throughout the year. Due to these reasons, sex-separated models were tested and compared with a single-sex approximation. Results are presented and discussed jointly in order to find the best alternative for the assessment of this stock. Improving scientific advice to fishery managenent for resources of interest for Spain in Atlantic waters IMPRESS