Maximum sustainable yield of Greater lizardfish <i>Saurida tumbil</i> fishery in Pakistan using the CEDA and ASPIC packages

KALHORO Muhsan Ali; LIU Qun; MEMON Khadim Hussain; WARYANI Baradi; SOOMRO Shamsher Hyder

doi:10.1007/s13131-014-0463-0

Volume 34 Issue 2

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KALHORO Muhsan Ali, LIU Qun, MEMON Khadim Hussain, WARYANI Baradi, SOOMRO Shamsher Hyder. Maximum sustainable yield of Greater lizardfish Saurida tumbil fishery in Pakistan using the CEDA and ASPIC packages[J]. Acta Oceanologica Sinica, 2015, 34(2): 68-73. doi: 10.1007/s13131-014-0463-0

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KALHORO Muhsan Ali, LIU Qun, MEMON Khadim Hussain, WARYANI Baradi, SOOMRO Shamsher Hyder. Maximum sustainable yield of Greater lizardfish Saurida tumbil fishery in Pakistan using the CEDA and ASPIC packages[J]. Acta Oceanologica Sinica, 2015, 34(2): 68-73. doi: 10.1007/s13131-014-0463-0

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Maximum sustainable yield of Greater lizardfish Saurida tumbil fishery in Pakistan using the CEDA and ASPIC packages

doi: 10.1007/s13131-014-0463-0

1.
College of Fisheries, Ocean University of China, Qingdao 266003, China;Marine Fisheries Department, Fish Harbor West Wharf Karachi, Karachi 74000, Pakistan
2.
College of Fisheries, Ocean University of China, Qingdao 266003, China
3.
Department of Freshwater Biology and Fisheries, University of Sindh, Jamshoro 76080, Pakistan

Received Date: 2013-10-09
Rev Recd Date: 2014-03-30

Abstract

Abstract

The catch and effort data analysis (CEDA) and ASPIC (a stock assessment production model incorporating covariat-es) computer software packages were used to estimate the maximum sustainable yield (MSY) from the catch and effort data of Greater lizardfish Saurida tumbil fishery of Pakistan from 1986 to 2009. In CEDA three surplus produc-tion models of Fox, Schaefer and Pella-Tomlinson were used. Here initial proportion (IP) of 0.5 was used because the starting catch was roughly 50% of the maximum catch. With IP= 0.5, the estimated MSY from Fox model were 20.59 mt and 38.16 mt for normal and log-normal error assumptions, while the MSY from Schaefer and Pella-Tomlinson were 60.40, 60.40 and 60.40 mt, for normal, log-normal and gamma error assumptions respectively. The MSY values from Schaefer and Pella-Tomlinson models of three error assumptions were the same. The R² values from those three models were above 0.6. When IP= 0.5, the MSY values estimated from ASPIC from Fox were 132 mt, and from logistic model were 69.4 mt, with R² value above 0.8. Therefore we suggest the MSY of S. tumbil fishery from Pakistan to be 60-70 mt, which is higher than the latest catch, thus we would recommend that the fishing efforts for this fishery may be kept at the current level.
- Pakistan,
- Sauridatumbil,
- ASPIC,
- CEDA,
- MSY

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BudnichenkoV A, Dimitrova O S. 1980. Reproductive biology of Sauri-daundosquamis and Sauridatumbil (familysynodontidae) in the Arabian Sea. Vopr Iktiol, 19(5): 80-86

Euzen O. 1987. Food habits and diet composition of some fish of Kuw-ait. Kuwait Bull Mar Sci, 9: 65-85

FAO. 2009. Fishery and Aquaculture Country Profiles. Rome: FAO's Fisheries Department, 1-18

Fisher W, Bianchi G. 1984. FAO Species Identification Sheets for Fish-ery Purposes. Western Indian Ocean (Fishing area 51). Vol. IV. Rome: FAO, 244-258

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

Haddon M. 2011. Modelling and Quantitative Methods in Fisheries. 2nd ed. New York: Chapman&Hall/CRC, 285-300

Hilborn R, Walters C J. 1992. Quantitative Fisheries Stock Assessment, Choices, Dynamics and Uncertainty. New York: Chapman and Hall, 570

Hoggarth D D, Abeyasekera S, Arthur R I, et al. 2006. Stock Assessme-nt for Fishery Management. FAO fisheries technical paper. No. 487. Rome: FAO, 261

Jaiswar A K, Chakraborty S K, Prasad R R, et al. 2003. Population-dynamics of lizard fish Sauridatumbil (Teleostomi/ Synodon-tidae) from Mumbai, west coast of India. Indian J Mar Sci, 32: 147-150

Kalhoro M A, Liu Q, Memon K H, et al. 2013. Estimation of maximum sustainable yield of Bombay Duck, Har-podonnehereus fishery in Pakistan using the CEDA and ASPIC packages. Pakistan J Zool, 45(6): 1757-1764

Mathews C P, Samuel M. 1989. Multi-species dynamic pool assessme-nt of shrimp by catch inKuwait. Proceeding of the Eight shrimp and fin fisheries management workshop. Kuwait Bull Mar Sci, 10: 147-158

Maunder M N, Sibert J R, Fonteneau A, et al. 2006. Interpreting catch per unit effort data to assess the status of individual stocks and communities. ICES J Mar Sci, 63(8): 1373-1385

Muthaih C. 1994. Studies on the fishery and biology of the lizardfish, Sauridaspp. from the Karnataka coast [dissertation]. Karwar: Ka-rnataka University, 185

Nair K V S, Raghu R. 1990. Studies on the threadfin bream and the lizardfish resources in the exclusive economic zone of India bas-ed on the demersal trawling operations of FORV SagarSampada. In: Proceedings of the 1st Workshop on Scientific Results of FORV SagarSampada. Cochin Central Marine Fisheries Research Institute (CMFRI), 239-225

Panhwar S K, Liu Qun, Khan F, et al. 2012a. Maximum sustainable yield estimates of Ladypees, Sillagosihama (Forssakål), fishery in Pakistan using the ASPIC and CEDA packages. J Ocean Univ China, 11: 93-98

Panhwar S K, Liu Qun, Khan F, et al. 2012b. Maximum sustainable yield estimates of spiny lobster fishery in Pakistan using non-equilibrium CEDA package. Russ J Mar Biol, 38(6): 448-453, doi: 10.1134/S1063074012060077

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

Prager M H. 1994. A suite of extensions to a nonequilibrium surplus-production model. Fishery Bulletin, 92: 374-389

Prager M H. 2005. A stock-production model incorporating covariates (version 5) and auxiliaryprograms. CCFHR (NOAA) Miami Labo-ratory Document MIA-92/93-55, Beaufort Laboratory Document BL-2004-01

Quinn T J, DerisoR B. 1999. Quantitative Fish Dynamics. New York, USA: Oxford University Press, 542

Russell B C, Houston W. 1989. Offshore fishes of the Arafura Sea. Beagle, 6(1): 69-84

Schaefer M B. 1954. Some aspects of the dynamics of populations important to the management of the commercial marine fisheri-es. Inter-American Tropical Tuna C, 1(2): 23-56

Sivakami S, Vivekanandan E, Raje S G, et al. 2003. Lizardfishes, pomfrets and bullseye. In: JosephMM, JayaprakashAA, eds. Stat-us of Exploited Marine Fishery Resources of India. Cochin: EMFRI, 141-157

Siyal F K, Li Yuan, Gao Tianxiang, et al. 2013. Maximum sustainable yield estimates of silver pomfret, Pampas argenteus (Family: Str-ometidae) Fishery in Pakistan. Pakistan J Zool, 45(2): 447-452

Snead R E. 1967. Recent morphological changes along the coast of West Pakistan. Annals of the Association of American Geograph-ers, 57(3): 550-565

Wang X H, Qin Y S, Du F Y, et al. 2011. Length-weight relationships of 69 fish species in the Beibu Gulf, northern South China Sea. J Appl Ichthyology, 27(3): 959-961

Wang Yu, Liu Qun. 2013. Application of CEDA and ASPIC computer packages to the hairtail (Trichiurusjaponicus) fishery in the East China Sea. Chinese Journal of Oceanology and Limnology, 31(1): 92-96

Yeh S Y, Lin Lai Hang, Liu His Chang. 1977. Age and growth of lizard fish, Sauridatumbil (Bloch) in the East China Sea and the Gulf of Tonkin. Acta Oceanogr Taiwan, 7: 134-145

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