Fishery stock assessment of Kiddi shrimp (<i>Parapenaeopsis stylifera</i>) in the Northern Arabian Sea Coast of Pakistan by using surplus production models -- Journal of Oceanology and Limnology,2017,35(4):936-946

	Cite this paper:
	MOHSIN Muhammad, MU Yongtong, MEMON Aamir Mahmood, KALHORO Muhammad Talib, SHAH Syed Baber Hussain. Fishery stock assessment of Kiddi shrimp (Parapenaeopsis stylifera) in the Northern Arabian Sea Coast of Pakistan by using surplus production models[J]. Journal of Oceanology and Limnology, 2017, 35(4): 936-946

Fishery stock assessment of Kiddi shrimp (Parapenaeopsis stylifera) in the Northern Arabian Sea Coast of Pakistan by using surplus production models

MOHSIN Muhammad, MU Yongtong, MEMON Aamir Mahmood, KALHORO Muhammad Talib, SHAH Syed Baber Hussain

College of Fisheries, Ocean University of China, Qingdao 266003, China

Abstract:

Pakistani marine waters are under an open access regime. Due to poor management and policy implications, blind fishing is continued which may result in ecological as well as economic losses. Thus, it is of utmost importance to estimate fishery resources before harvesting. In this study, catch and effort data, 1996-2009, of Kiddi shrimp Parapenaeopsis stylifera fishery from Pakistani marine waters was analyzed by using specialized fishery software in order to know fishery stock status of this commercially important shrimp. Maximum, minimum and average capture production of P. stylifera was observed as 15 912 metric tons (mt) (1997), 9 438 mt (2009) and 11 667 mt/a. Two stock assessment tools viz. CEDA (catch and effort data analysis) and ASPIC (a stock production model incorporating covariates) were used to compute MSY (maximum sustainable yield) of this organism. In CEDA, three surplus production models, Fox, Schaefer and Pella-Tomlinson, along with three error assumptions, log, log normal and gamma, were used. For initial proportion (IP) 0.8, the Fox model computed MSY as 6 858 mt (CV=0.204, R²=0.709) and 7 384 mt (CV=0.149, R²=0.72) for log and log normal error assumption respectively. Here, gamma error produced minimization failure. Estimated MSY by using Schaefer and Pella-Tomlinson models remained the same for log, log normal and gamma error assumptions i.e. 7 083 mt, 8 209 mt and 7 242 mt correspondingly. The Schafer results showed highest goodness of fit R² (0.712) values. ASPIC computed MSY, CV, R², F_MSY and B_MSY parameters for the Fox model as 7 219 mt, 0.142, 0.872, 0.111 and 65 280, while for the Logistic model the computed values remained 7 720 mt, 0.148, 0.868, 0.107 and 72 110 correspondingly. Results obtained have shown that P. stylifera has been overexploited. Immediate steps are needed to conserve this fishery resource for the future and research on other species of commercial importance is urgently needed.

Key words: stock assessment|fishery management|Parapenaeopsis stylifera|surplus production models|Pakistan

Received: 2016-03-28 Revised: 2016-05-11

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Articles by MOHSIN Muhammad

Articles by MU Yongtong

Articles by MEMON Aamir Mahmood

Articles by KALHORO Muhammad Talib

Articles by SHAH Syed Baber Hussain

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