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

Muhammad Mohsin; Yongtong Mu; Aamir Mahmood Memon; Muhammad Talib Kalhoro; Syed Baber Hussain Shah

doi:10.1007/s00343-017-6096-3

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

Updated：2023-05-16

- Fishery stock assessment of Kiddi shrimp (Parapenaeopsis stylifera) in the Northern Arabian Sea Coast of Pakistan by using surplus production models
- Journal of Oceanology and Limnology Vol. 35, Issue 4, Pages: 936-946(2017)
- Affiliations：
  
  College of Fisheries Ocean University of China
- Author bio：
- Funds：
- DOI：10.1007/s00343-017-6096-3
  CLC：
- Online First：08 September 2016，
  
  Published：2017
- Accepted：
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Mohsin, M., Mu, Y., Memon, A.M. et al. Fishery stock assessment of Kiddi shrimp (Parapenaeopsis stylifera) in the Northern Arabian Sea Coast of Pakistan by using surplus production models., Chin. J. Ocean. Limnol. 35, 936–946 (2017). https://doi.org/10.1007/s00343-017-6096-3
DOI：

Mohsin, M., Mu, Y., Memon, A.M. et al. Fishery stock assessment of Kiddi shrimp (Parapenaeopsis stylifera) in the Northern Arabian Sea Coast of Pakistan by using surplus production models., Chin. J. Ocean. Limnol. 35, 936–946 (2017). https://doi.org/10.1007/s00343-017-6096-3 DOI：

摘要

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

R 2 =0.709) and 7 384 mt (CV=0.149

R 2 =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 R 2 (0.712) values. ASPIC computed MSY

R 2

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.

关键词

Keywords

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