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A1203
Title: Growth parameter estimation: A multiple mark and recapture analysis Authors:  Chuan Hui Foo - Sultan Idris Education University (Malaysia) [presenting]
Abstract: Various approaches have been employed in previous studies on lobster growth modelling, such as mark-recapture and tag-recapture methods. However, several limitations and challenges are associated with these methods, including low recapture rates and data quality issues, which hinder accurate estimates of lobster growth and development. Growth parameters for multiple recaptures of wild slipper lobster, Scyllarides latus, are estimated using the generalised estimating equation (GEE) and improved Fabens method. GEE incorporates a biologically realistic framework to efficiently describe the correlation between two consecutive moults, including the hidden variables about data derived from multiple recaptures. The improved Fabens method considers individual variability in growth where different individuals have different asymptotic lengths. Simulation results indicate that the Fabens method is slightly better than the GEE approach as it reduces the biases in the estimates. The results suggest that lobsters can exhibit significant variability in growth rates over their lifetimes.