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What is FSZ 212 about?

This study evaluates the performance of four length-based stock assessment methods (TB, LBSPR, LIME, and LBRA) under various scenarios of life history, exploitation, and recruitment errors. The findings indicate that TB and LBSPR are the most accurate and consistent methods, while LBRA is biased but precautionary, and LIME is better suited for longer time-series assessments. The research emphasizes the need to quantify the accuracy of these methods to guide their application in data-limited fisheries.

Author

Vivian Herrera

Language

EN