Maximum sustainable yield of Greater lizardfish Saurida tumbil fishery in Pakistan using the CEDA and ASPIC packages
-
摘要: 本文应用CEDA(catch and effort data analysis)和ASPIC(a stock assessment production model incorporating covariates)计算机软件包对巴基斯坦国的多齿蛇鲻(Saurida tumbil)渔业的最大持续产量(MSY)的进行了研究,所使用的产量和捕捞努力量数据为1986-2009.CEDA包括了三个剩余产量模型(Fox, Schaefer and Pella-Tomlinson).因为初始产量大约是最大产量的50%,所以初始比例(IP,initial proportion)设为0.5.当IP=0.5,对于正态和对数正态误差分布,Fox模型估计的MSY分别为20.59mt和38.16mt;对于正态、对数正态和伽马误差分布,Schaefer和Pella-Tomlinson模型估计的MSY分别为60.40、60.40和60.40mt.对于三个误差假设Schaefer和Pella-Tomlinson模型估计的MSY相同.这三个模型估计的R2均高于0.6.当IP=0.5,对于Fox模型ASPIC估计的MSY值为132mt,对于logistic模型为69.4mt,其R2值均高于0.8.于是我们建议巴基斯坦国的多齿蛇鲻(S. tumbil)渔业的最大持续产量为60-70mt,这高于最近的产量.所以我们建议这个渔业的捕捞努力量应该维持在目前水平.
-
关键词:
- 巴基斯坦 /
- 多齿蛇鲻(Sauridatumbil) /
- ASPIC /
- CEDA /
- 最大持续产量
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.-
Key words:
- Pakistan /
- Sauridatumbil /
- ASPIC /
- CEDA /
- MSY
-
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
点击查看大图
计量
- 文章访问数: 1464
- HTML全文浏览量: 61
- PDF下载量: 1951
- 被引次数: 0