In modeling growth of crustaceans, we normally encounter some difficulties such as the discrete growth fashion due to a process called moulting. All hard shells are shed periodically that hinder us from determining the age of an individual. To this end, we consider tag and recapture method to quantify growth parameters of wild crustaceans. For tag-recapture data, a sample of population is captured, tagged and released to its natural habitat. The growth estimation can be challenging, since the exact moulting time is normally unobserved. In this context, the intermoult period is not available for tag-recapture data. There are numerous statistical methodologies can be used for parameter estimations, for instance, the Generalized Linear Model (GLM) and the Generating Estimation Equation (GEE) method. Therefore, we are able to estimate individual growth without the age information. The conventional tagrecapture studies targeted for single recapture data that may mislead and cause biases when there is individual variability exists in the population. Evaluations of heterogeneity and environmental variations in modeling growth could provide valuable insights for managing ecosystem population’s dynamics. To this end, we propose a biologically realistic model for quantifying multiple-recapture data, including the hidden variables that can efficiently describe the correlation between two consecutive moults.
Volume 11 | 06-Special Issue
Pages: 1859-1867