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Assessment of two cichlids stocks with virtual population analysis in Garmat Ali River, Basrah, Iraq

Authors: Mohamed Abdul-Razak Mahmood;

Assessment of two cichlids stocks with virtual population analysis in Garmat Ali River, Basrah, Iraq

Abstract

The study is an attempt to evaluate the population characteristics and virtual population analysis (VPA) of two invasive species (Oreochromis niloticus and Oreochromis aureus) using the FiSAT II software based on the data collected from the Garmat Ali River, Iraq. A total of 4391 individuals (2727 of O. niloticus and 1664 of O. aureus) were measured for length-frequency analysis from October 2019 to September 2020. Length-weight relationships were derived, indicating allometric growth for both species. The asymptotic length (L∞) and growth rate constant (K) were estimated to be 30.5 cm and 0.45 for O. niloticus and 29.9 cm and 0.21 for O. aureus. The annual rates of fishing (F) and exploitation (E) for O. niloticus were found to be 2.24 and 0.69, respectively, and for O. aureus 0.48 and 0.43, respectively. The present exploitation rates (E) of both species were below the biological target reference points, E0.1 and Emax, thus expressing a case of under-exploitation of both species. Besides, the result of the virtual population analysis (VPA) revealed that the majority of O. niloticus and O. aureus individuals were harvested at lengths 20 cm and 17 cm, respectively. Also, the lengths at first capture (L50) for both species were considerably higher than their lengths at first maturity (Lm). Therefore, for management purposes, this study suggests that more yields can be obtained by increasing the fishing activities on these invasive species, such as increasing the number of fishing boats and decreasing the mesh size to decline its abundance in the long term.

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Keywords

Cichlids; Stock analysis; Virtual population analysis; Garmat Ali River; Iraq

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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