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Assessment of South Pacific albacore stock (Thunnus alalunga) by improved Schaefer model

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Abstract

Based on catch and effort data of tuna longline fishery operating in the South Pacific Ocean, the South Pacific albacore stock was assessed by an improved Schaefer model. The results revealed that the intrinsic growth rate was about 1.283 74 and carrying capacities vareied in the range from 73 734 to 266 732 metric tons. The growth ability of this species is remarkable. Stock dynamics mainly depends on environmental conditions. The stock is still in good condition. However, the continuous decreasing of biomass in recent years should be noticed.

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References

  • Bigelow, K., J. Hampton, and D. Fournier, 2001. Stock assessment of albacore tuna in the South Pacific Ocean. 14th Meeting of the Standing Committee on Tuna and Billfish. Noumca, New Caledonia, ALB-1, 23pp.

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

    Article  Google Scholar 

  • Hmapton, J., 2002. Stock assessment of albacore tuna in the South Pacific Ocean. 15th Meeting of the Standing Committee on Tuna and Billfish. Honolulu, Hawali, ALB-1, 31pp.

  • Hampton, J., and D. Fournier, 2000. Update of MULTI-FAN-CL based assessment of South Pacific albacore tuna. 13th Meeting of the Standing Committee on Tuna and Bilifish. Noumea, New Caledonia, ALB-1, 25pp.

  • Honma, M., 1974. Estimation of overall effective fishing intensity of tuna longline fishery-Yellowfin tuna in the Atlantic Ocean as an example of seasonally fluctuating stocks.Bull. Far. Seas Fish. Res. Lab.,10: 63–86.

    Google Scholar 

  • Kimura, D. J., 1981. Standardized measures of relative abundance based on modeling log (CPUE) and their application to Pacific Ocean perch.J. Cons. Int. Explor. Mer.,39: 211–218.

    Google Scholar 

  • Labelle, M., and J. Hampton, 2003. Stock assessment of albacore tuna in the South Pacific Ocean. 16th Meeting of the Standing Committee on Tuna and Billfish. Mooloolaba, Queensland, Australia, ALB-1, 30pp.

  • Maunder, M. N., 2003. Is it time to discard the Schaefer model from the stock assessment scientist's toolbox? (Letter to the Editor).Fish. Res.,61: 145–149.

    Article  Google Scholar 

  • McAllister, M. K., E. A. Babcock, E. K. Pikitch, and M. H. Prager 2000. Application of a non-equilibrium generalized production model to South and North Atlantic swordfish: combining Bayesian and demographic methods for parameter estimation.Col. Vol. Sci. Pap. ICCAT,51: 1523–1551.

    Google Scholar 

  • Pella, J. J., and P. K. Tomlinson 1969. A generalized stock production model.Bull. Inter-Am. Trop. Tuna Comm.,13: 419–496.

    Google Scholar 

  • Prager, M. H., 2002. Comparison on logic and generalized surplus production models applied to swordfish,Xiphias gladius, in the North Atlantic Ocean.Fish. Res.,58: 41–57.

    Article  Google Scholar 

  • Prager, M. H., 2003. Reply to the letter to the editor by maunder.Fish. Res.,61: 151–154.

    Article  Google Scholar 

  • Schaefer, M. B., 1954. Some aspects of the dynamics of populations, important for the management of the commercial marine fisheries.Inter-Am. Trop. Tuna Comm. Bull.,1: 27–56.

    Google Scholar 

  • Schaefer, M. B., 1957. A study of the dynamics of the fishery for yellowfin tuna in the eastern tropical Pacific Ocean.Inter-Am. Trop. Tuna Comm. Bull.,2: 247–258.

    Google Scholar 

  • Schnute, J., 1977. Improved estimates from the Schaefer production model: theoretical considerations.J. Fish. Res. Bd. Can.,34: 583–603.

    Google Scholar 

  • Skillman, R. A., 1975. An assessment of the South Pacific albacore,Thunnus alalunga, fishery, 1953–1972.Mar. Fish. Rev.,37(3): 9–17.

    Google Scholar 

  • SPC, 2003.Tuna Fishery Yearbook 2002. Noumea, New Caledonia, 172pp.

  • Walters, C. J., and R. Hilborn, 1976. Adaptive control of fishing systems.J. Fish. Res. Bd. Can.,33: 145–159.

    Google Scholar 

  • Wang, C. H., 1996. Reconsideration of assessing fish stocks with the surplus production model.ACTA Oceanographica Taiwanica,35(4): 375–394.

    Google Scholar 

  • Wang, C. H., 1997. Population parameters and stock assessment of the South Pacific albacore (Thunnus alalunga).Exploitation of the High Sea Fish. Resour,1 (Special Issue): 75–93.

    Google Scholar 

  • Wang, C. H., 1998. Fluctuation of the South Pacific albacore stocks (Thunnus alalunga) relative to the sea surface temperature.Exploitation of the High Seas Fish. Resour.,2(Special Issue): 133–154.

    Google Scholar 

  • Wang, C. H., 1999. Reconsideration of assessing the South Pacific albacore stocks (Thunnus alalunga).ACTA Oceanographica Taiwanica,37(3): 251–266.

    Google Scholar 

  • Wang, C. H., 2000. Applied the improved surplus production method in assessing the South Pacific albacore (Thunnus alalunga), 1967–1998. 13th Meeting of the Standing Committee on Tuna and Billfish. Noumea, New Caledonia, ALB-2, 19pp.

  • Wang, C. H., 2001. Two steps estimating the parametersr,q, andK of the South Pacific albacore stocks (Thunnus alalunga) based on suplus production model. 14th Meeting of the Standing Committee on Tuna and Billfish. Noumea, New Caledonia, ALB 2, 21pp.

  • Wang, C. H., 2002. Estimating the population parameter,r,q andK based on surplus production model. 15th Meeting of the Standing Committee on Tuna and Billfish. Honolulu, Hawaii, ALB-7, 19pp.

  • Wang, C. H., 2003. Comparing the results of the South Pacific albacore stocks assessed by four methods. 16th Meeting of the Standing Committee on Tuna and Billfish. Mooloolaba, Queensland, Australia, ALB-7, 12pp.

  • Wang, C. H., M. S. Chang, and M. C. Lin, 1988. Estimating the maximum sustainable yield of the South Pacific albacore, 1971–1985.ACTA Oceanographica Taiwanica,21: 67–81.

    Google Scholar 

  • Wetherall, J. A., F. V. Riggs, and M. Y. Y. Yong, 1979. Assessment of the South Pacific albacore stock,U. S. Nat. Mar. Fish. Serv. Southwest Fish. Center, Admin. Rep. H-79-6, 17pp.

  • Wetherall, J. A., and M. Y. Y. Yong, 1984. Assessment of the South Pacific albacore stock based on changes in catch rates of Taiwanese longliners and estimates of total annual yield from 1964 through 1982.U. S. Nat. Mar. Fish. Serv. Southwest Fish. Center. Admin. Rep. H-84-11, 7pp.

  • Wetherall, J. A., and M. Y. Y. Yong, 1987. The South Pacific albacore stock assessment and related issues.U. S. Nat. Mar. Fish. Serv. Southwest Fish. Center, NPALB/87, 14pp.

  • Yeh, Y. M., and C. H. Wang 1996. Stock assessment of the South Pacific albacore by using the generalized production model, 1967–1991.ACTA Oceanographica Taiwanica,35(2): 125–139.

    Google Scholar 

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Correspondence to Wang Chien-Hsiung.

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Chien-Hsiung, W., Shyh-Bin, W. Assessment of South Pacific albacore stock (Thunnus alalunga) by improved Schaefer model. J. Ocean Univ. China 5, 106–114 (2006). https://doi.org/10.1007/BF02919207

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  • DOI: https://doi.org/10.1007/BF02919207

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