Skip to main content

Advertisement

Log in

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

  • Aquaculture and Fisheries
  • Published:
Chinese Journal of Oceanology and Limnology Aims and scope Submit manuscript

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, CV, 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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ayub Z, Ahmed M. 2001. Species composition of the Jaira, Kalri and Kiddi groups of shrimps landing at the Karachi Fish Harbour and in the near-shore waters of Karachi (Pakistan). Pakistan J. Zool., 33(3): 179–187.

    Google Scholar 

  • Ayub Z, Ahmed M. 2002. Maturation and spawning of four commercially important penaeid shrimps of Pakistan. Indian J. Mar. Sci., 31(2): 119–124.

    Google Scholar 

  • Caddy J F, Mahon R. 1995. Reference points for fisheries management. FAO Fisheries Technical Paper. 347. FAO, Rome, Italy. 83p.

    Google Scholar 

  • Carpenter K E, Krupp F, Jones D J, Zajonz U. 1997. FAO species identification guide for fishery purposes. FAO’s Fisheries Department, Rome. p.1–293.

    Google Scholar 

  • Cochrane K L. 2002. Chapter 5: The use of scientific information in the design of management strategies. In: Cochrane K L ed. A Fishery Manager’s Guidebook. Management Measures and Their Application. FAO Fisheries Technical Paper. 424. FAO, Rome, Italy. p.95–130.

    Google Scholar 

  • De Grave S, Pentcheff N D, Ahyong S T, Chan T Y, Crandall K A, Dworschak P C, Felder D L, Feldmann R M, Fransen C H J M, Goulding L Y D, Lemaitre R, Low M E Y, Martin J W, Ng P K L, Schweitzer C E, Tan S H, Tshudy D, Wetzer R. 2009. A classification of living and fossil genera of decapod crustaceans. Raffles B ull. Zool., 21(1): 1–109.

    Google Scholar 

  • Die D. 2002. Chapter 9: Design and implementation of management plans. In: Cochrane K L ed. A Fishery Manager’s Guidebook. Management Measures and Their Application. FAO Fisheries Technical Paper. 424. FAO, Rome, Italy. p.205–220.

    Google Scholar 

  • Ewald C O, Wang W K. 2010. Sustainable yields in fisheries: uncertainty, risk-aversion, and mean-variance analysis. Nat. Resour. Model., 23(3): 303–323.

    Article  Google Scholar 

  • FAO. 1995. Code of conduct for responsible fisheries. Rome, FAO. 41p.

    Google Scholar 

  • FAO. 1997. Fisheries management. FAO Technical Guidelines for Responsible Fisheries No. 4. FAO’s Fisheries Department, Rome. p.1–82.

    Google Scholar 

  • FAO. 2009. Fishery and aquaculture country profile. FAO’s Fisheries Department, Rome. p.1–18.

    Google Scholar 

  • FAO. 2011. Fisheries and shared resources of pakistan. FAO’s Fisheries Department, Rome. p.1–58.

    Google Scholar 

  • Fox W W Jr. 1970. An exponential surplus-yield model for optimizing exploited fish populations. Tans. Amer. Fish. Soc., 99(1): 80–88.

    Article  Google Scholar 

  • Gabriel W L, Mace P M. 1999. A review of biological reference points in the context of the precautionary approach. In: Restrepo V R ed. Proceedings of the 5th National NMFS Stock assessment Workshop: Providing Scientific Advice to Implement the Precautionary Approach under the Magnuson-Stevens Fishery Conservation and Management Act. NOAA Tech. Memo. NMFS-F/SPO-40. p.34–45.

    Google Scholar 

  • Hayat M. 2003. Fishing capacity and fisheries in pakistan. FAO Fisheries Department, Rome.

    Google Scholar 

  • Hilborn R, Walters C J. 1992. Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty. Chapman and Hall, New York, London.

    Book  Google Scholar 

  • Hoggarth D D, Abeyasekera S, Arthur R I, Beddington J R, Burn R W, Halls A S, Kirkwood G P, McAllister M, Medley P, Mees C C, Parkes G B, Pilling G M, Wakeford R C, Welcomme R L. 2006. Stock assessment for fishery management-A framework guide to the stock assessment tools of the fisheries management science programme. FAO Fisheries Technical Paper 487. FAO, Rome, Italy. 261p.

    Google Scholar 

  • Holthuis L B. 1980. Vol. 1-Shrimps and prawns of the world. An annotated catalogue of species of interest to fisheries. FAO’s Fisheries Department, Rome.

    Google Scholar 

  • Jensen A L. 2002. Maximum harvest of a fish population that has the smallest impact on population biomass. Fish. Res., 57(1): 89–91.

    Article  Google Scholar 

  • Kalhoro M A, Liu Q, Waryani B, Panhwar S K, Hussain K. 2014. Growth and mortality of Brushtooth lizardfish, Saurida undosquamis, from Pakistani Waters. Pak istan J. Zool., 46(1): 139–151.

    Google Scholar 

  • Kalhoro M A, Liu, Q, Memon K H, Chang M S, Jatt A N. 2013. Estimation of maximum sustainable yield of Bombay Duck, Harpodon nehereus fishery in Pakistan using the CEDA and ASPIC packages. Pak istan J. Zool., 45(6): 1757–1764.

    Google Scholar 

  • Maunder M N, John R S, Fonteneau A, Hampton J, Kleiber P, Harley S J. 2006. Interpreting catch per unit effort data to assess the status of individual stocks and communities. ICES J. Mar. Sci., 63(8): 1373–1385.

    Article  Google Scholar 

  • Medley P A H, Ninnes C H. 1997. A recruitment index and population model for spiny lobster (Panulirus argus) using catch and effort data. Can. J. Fish. Aquat. Sci., 54(6): 1414–1421.

    Article  Google Scholar 

  • Memon A M, Liu Q, Memon K H, Baloch W A, Memon A, Baset A. 2015. Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC. Chin. J. Oceanol. Limnol., 33(4): 966–973.

    Article  Google Scholar 

  • Mohsin M, Mu Y T, Hussain K, Mahmood A, Sun Z Q, Nazir K, Wang W. 2015. Contribution of fish production and trade to the economy of Pakistan. Int. J. Mar. Sci., 5(18): 1–7.

    Google Scholar 

  • MRAG. 2016. CEDA Version 3. 0. http://www.mrag.co.uk/resources/fisheries-assessment-software. Accessed on 2016-06-29.

    Google Scholar 

  • Muhammad F, Sultana R, ShafiM. 2014. Structure of vasa deferentia and spermatophores in Parapenaeopsis stylifera (H. Milne Edwards) (Decapoda: Penaeidae). Afr. J. Biotechnol., 13(8): 983–988.

    Article  Google Scholar 

  • Musick J A, Bonfil R. 2005. Management techniques for elasmobranch fisheries. FAO Fisheries Technical Paper 474. FAO, Rome, Italy. 251p.

    Google Scholar 

  • NOAA. 2016. NOAA Fisheries Toolbox, A Stock Production Model Incorporating Covariates (ASPIC), http://nft.nefsc. noaa.gov/ASPIC.html. Accessed on 2016-06-29.

    Google Scholar 

  • Panhwar S K, Liu Q, Khan F, Siddiqui P J A. 2012. Maximum sustainable yield estimates of Ladypees, Sillago sihama (Forsskål), fishery in Pakistan using the ASPIC and CEDA packages. J. Ocean Univ. China, 11(1): 93–98.

    Article  Google Scholar 

  • Panhwar S K, Liu Q. 2013. Population statistics of the migratory hilsa shad, Tenualosa ilisha, in Sindh, Pakistan. J. Appl. Ichthyol., 29(5): 1091–1096.

    Article  Google Scholar 

  • Pella J J, Tomlinson P K. 1969. A generalized stock production model. Inter-American Tropical Tuna Commission Bulletin, 13(3): 416–497.

    Google Scholar 

  • Pérez F I, Kensley B. 1997. Penaeoid and sergestoid shrimps and prawns of the world. Keys and diagnoses for the families and genera. FAO’s Fisheries Department, Rome. 233p.

    Google Scholar 

  • Pitcher T J, Hart P J B. 1982. Fisheries Ecology. The AVI Publishing Company, Inc., Westport, Connecticut.

    Google Scholar 

  • Prager M H. 1994. A suite of extensions to a nonequilibrium surplus-production model. Fish. Bull., 92(2): 374–389.

    Google Scholar 

  • Prager M H. 2005. A stock-production model incorporating covariates (Version 5) and auxiliary programs. CCFHR (NOAA) Miami Laboratory Document MIA-92/93-55, Beaufort Laboratory Document BL-2004-01.

    Google Scholar 

  • Quinn II T J, Deriso R B. 1999. Quantitative Fish Dynamics. Oxford University Press, New York, USA.

    Google Scholar 

  • Ricker W E. 1975. Computation and interpretation of biological statistics of fish populations. Bull. Fish. Res. Board. Can., 191: 1–382.

    Google Scholar 

  • Rosenberg A A, Fogarty M J, Sissenwine M P, Beddington J R, Shepherd J G. 1993. Achieving sustainable use of renewable resources. Science, 262(5135): 828–829.

    Article  Google Scholar 

  • Rupert E E, Fox R S, Barnes R D. 2003. Invertebrate Zoology: a Functional Evolutionary Approach. 7th edn. Brooks/Cole Thompson Learning, Belmont, California. 1008p.

    Google Scholar 

  • Schaefer M B. 1954. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Inter-American Tropical Tuna Commission Bulletin, 1(2): 23–56.

    Google Scholar 

  • Schmidt U W. 2014. Fisheries policy report and recommendations for Sindh. USAID Firms Project. Final Report. USAID. p.1–66.

    Google Scholar 

  • Siyal F K, Li Y, Gao T X, Liu Q. 2013. Maximum sustainable yield estimates of silver pomfret, Pampus argenteus (Family: Strometidae) fishery in Pakistan. Pak istan J. Zool., 45(2): 447–452.

    Google Scholar 

  • Tirmizi N M, Bashir Q. 1973. Shore and Offshore Penaeid Prawns of Northern Arabian Sea. Department of Publications, University of Karachi, Karachi.

    Google Scholar 

Download references

Acknowledgement

Authors are thankful to marine fisheries department (MFD) for providing numerical data. We are very grateful to Michael Prager, Prager Consulting, USA for his guidance and valuable comments on the results and anonymous reviewers who really helped us to improve our manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongtong Mu  (慕永通).

Additional information

Supported by the Earmarked Fund for Modern Agro-Industry Technology Research System of China and the Special Research Fund of Ocean University of China (No. 201022001)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00343-017-6096-3

Keywords

Navigation