et al., P. (2024). Population Dynamics of the Indian Scad Decapterus russelli (Rüppell, 1830) in the Natuna Sea, Indonesia. Egyptian Journal of Aquatic Biology and Fisheries, 28(4), 1701-1721. doi: 10.21608/ejabf.2024.374560
Priatna et al.. "Population Dynamics of the Indian Scad Decapterus russelli (Rüppell, 1830) in the Natuna Sea, Indonesia". Egyptian Journal of Aquatic Biology and Fisheries, 28, 4, 2024, 1701-1721. doi: 10.21608/ejabf.2024.374560
et al., P. (2024). 'Population Dynamics of the Indian Scad Decapterus russelli (Rüppell, 1830) in the Natuna Sea, Indonesia', Egyptian Journal of Aquatic Biology and Fisheries, 28(4), pp. 1701-1721. doi: 10.21608/ejabf.2024.374560
et al., P. Population Dynamics of the Indian Scad Decapterus russelli (Rüppell, 1830) in the Natuna Sea, Indonesia. Egyptian Journal of Aquatic Biology and Fisheries, 2024; 28(4): 1701-1721. doi: 10.21608/ejabf.2024.374560
Population Dynamics of the Indian Scad Decapterus russelli (Rüppell, 1830) in the Natuna Sea, Indonesia
The Indian scad (Decapterus russelli) was dominant and the most highly favored small pelagic caught in the Natuna Sea. The stock status of small pelagics in Fisheries Management Area 711 (Karimata Strait, the Natuna Sea, and the South China Sea) is fully exploited and approaching being overexploited. In multi-species fisheries, it is relatively challenging to implement management options based on aggregate stock. The stock status of species-specific requires updates based on appropriate assessment methods. This study aimed to assess the growth, mortality, length at capture, length maturity, and stock status of D. russelli in the Natuna Sea based on length-frequency data carried out for seven years at Pemangkat Fishing Port, West Kalimantan, with 19103 fish sampled. The von Bertalanffy growth function was fitted using the TropFishR package to estimate the growth parameters. Natural mortality was estimated using theM = 4.118K0.73Linf-0.33 equation, and exploitation rates were estimated using the length-converted catch curve model. The catch length was in the range of 10.2 and 24.4cm. The ELEFAN_GA model provided a better fit, and it was used to obtain the following results: the asymptotic length (Linf) was 23.36cm, the growth coefficient (K) was 0.64, the length at time zero (t0) was -0.27, and the expected longevity (tmax) was 4.39 years. The natural mortality (M) was 1.06 year-1, fishing mortality (F) was 1.03 year-1, and total mortality (Z) was 2.09 year-1. The exploitation status (E) was 0.49, and the length at first capture (SL50) was higher than the length at first maturity (L50), meaning the fish had reached gonad ripening before they were caught. To maintain the exploitation rate at the optimum level (E = 0.5), it is necessary to sustain current fishing efforts while ensuring high monitoring of the implementation of the existing management policy.
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