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Fed up with parasites? A method for estimating asymptotic growth in fish populations

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Abstract

The accumulation of parasites in a fish host is modelled as a function of the total amount of prey consumed. The accumulated parasite load is then expressed as a function of fish length so that the asymptotic growth, L , of any population of commonly infected fish can be estimated. Estimates of L are obtained for orange roughy (Hoplostethus atlanticus), albacore tuna (Thunnus alalunga) and the New Zealand southern arrow squid (Nototodarus sloanii).

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References

  • Anderson, R. M., Gordon, D. M. (1982). Processes influencing the distribution of parasite numbers within host populations with special emphasis on parasite-induced host mortalities. Parasitology 85: 373–398

    Google Scholar 

  • Annala, J. H. (compiler) (1992). Report from the fishery assessment plenary, May 1992: stock assessments and yield estimates. Ministry of Agriculture and Fisheries, Great Point Library, Wellington, N.Z. (Unpublished report)

    Google Scholar 

  • Banning, B. van., Becker, H. B. (1978). Long-term survey data (1965–1972) on the occurrence of Anisakis larvae (Nematoda: Ascarididae) in the herring Clupea harengus L., from the North Sea. J. Fish Biol. 12: 25–33

    Google Scholar 

  • Bennett, J. T., Boehlert, G. W., Turekian, K. K. (1982). Confirmation of longevity in Sebastes diploproa (Pisces: Scorpaenidae) from 210Pb/226Ra measurements in otoliths. Mar. Biol. 71: 209–215

    Google Scholar 

  • Bertalanffy, L., von (1938). A quantitative theory of organic growth. Hum. Biol. 10: 181–213

    Google Scholar 

  • Beverton, R. J. H., Holt, S. J. (1957). On the dynamics of exploited fish populations. Fishery Invest., Lond. (Der. 2) 19: 1–533

    Google Scholar 

  • Bishop, Y. M. M., Margolis, L. (1955). A statistical examination of Anisakis larvae (Nematoda) in herring (Clupea pallasi) off the British Columbia coast. J. Fish. Res. Bd Can. 12: 571–592

    Google Scholar 

  • Clers, S., des (1989). Modelling regional differences in ‘sealworm,’ Pseudoterranova decipiens (Nematoda, Ascaridoidea), infections in some North Atlantic cod, Cadus morhua, stocks. J. Fish Biol. 35 (Suppl. A): 187–192

    Google Scholar 

  • Daan, N. (1973). A quantitative analysis of the food intake of North Sea cod, Gadus morhua. Neth. J. Sea Res. 6: 479–517

    Google Scholar 

  • Efron, B., Tibshirani, R. (1986). Bootstrap methods for standard errors, confidence intervals and other measures of statistical accuracy. Statist. Sci. 1: 54–77

    Google Scholar 

  • Fenton, G. E., Short, S. A., Ritz, D. A. (1991). Age determination of orange roughy, Hoplostethus atlanticus (Pisces: Trachichthyidac) using 210Pb:226Ra disequilibria. Mar. Biol 109: 197–202

    Google Scholar 

  • Gibson, D. (1993). The New Zealand squid fishery 1979–91. Tech. Rep. N.Z. Fish. (in press)

  • Gulland, J. A. (1969). Manual of methods for fish stock assessment. I. Population analysis. F.A.O. Man. Fish. Sci. 4: 1–154

    Google Scholar 

  • Hill, K. T., Womersley, C. (1991). Critical aspects of fluorescent age-pigment methodologies: modification for accurate analysis and age assessments in aquatic organisms. Mar. Biol. 109: 1–11

    Google Scholar 

  • Iyeshko, Ye. P., Anikiyeva, L. V., Bushman, L. G. (1981). The use of parasitological data for assessment of the food requirements of the European cisco, Coregnus albula. J. Ichthyol. 21: 172–177

    Google Scholar 

  • Jones, J. B. (1991). Movements of albacore tuna, (Thunnus alalunga) in the South Pacific: evidence from parasites. Mar. Biol. 111: 1–9

    Google Scholar 

  • Lester R. J. G., Sewell, K. B., Barnes, A., Evans, K. (1988). Stock discrimination of orange roughy, Hoplostethus atlanticus, by parasite analysis. Mar. Biol. 99: 137–143

    Google Scholar 

  • Lewis, A. D. (1990). South Pacific albacore stock structure: a review of available information. Third South Pacific Albacore Research Workshop (SPAR/WP5). South Pacific Commission, Nouméa

    Google Scholar 

  • Mace P. M., Fenaughty, J. M., Coburn, R. P., Doonan, I. J. (1990). Growth and productivity of orange roughy (Hoplostethus atlanticus) on the north Chatham Rise. N.Z. Jl mar. Freshwat. Res. 24: 105–119

    Google Scholar 

  • Mattlin, R. H. (1983). Squid. In: Taylor, J. L., Baird, G. G. (eds.) New Zealand finfish fisheries, the resources and their management. Proceedings of FISHEX 83 Conference, April 1983. Trade Publications, Auckland, New Zealand, p. 30–32

    Google Scholar 

  • Moreau, J. (1987). Mathematical and biological expression of growth in fishes: recent trends and further developments. In: Summerfelt, R. C., Hall, G. E. (eds.) The age and growth of fish. Iowa State University Press, Ames, Iowa, p. 81–113

    Google Scholar 

  • Moser, M., Sakanari, J. (1986). Experimental infection of blue rockfish (Sebastes mystinus) with larval anisakid nematodes. Fish Pathol. 21: 81–83

    Google Scholar 

  • Mulligan, T. J., Leaman, B. M. (1992). Length at age analysis: can you get what you see? Can. J. Fish. aquat Sciences 49: 632–643

    Google Scholar 

  • Nagasawa, K. (1990). The life cycle of Anisakis simplex: a review. In: Ishikura, H., Kikuchi, K. (eds.) Intestinal anisakiasis in Japan. Springer-Verlag, Tokyo, p. 31–40

    Google Scholar 

  • Press, W. H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T. (1986). Numerical recipes: the art of scientific computing. Cambridge University Press, Cambridge, England

    Google Scholar 

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

    Google Scholar 

  • Rosenberg, A. A., Beddington, J. R. (1988). Length based methods of fish stock assessment. In: Gulland, J. (ed.) Fish population dynamics, 2nd ed. Wiley & Sons, New York. p. 83–103

    Google Scholar 

  • Sainsbury, K. J. (1980). Effect of variability on the von Bertalanffy growth equation. Can. J. Fish. aquat. Sciences 37: 241–247

    Google Scholar 

  • Sanders, M. J. (1987). A simple method for estimating the von Bertalanffy growth constants for determining length from age and age from length. In: Pauly, D., Morgan, G. R. (eds.) ‘Length based methods in fisheries’ research. Proc. 13th int. Center living aquat. Resour. Mgmt (ICLARM) Conf. 13: 299–303

  • Schnute, J. (1981). A versatile growth model with statistically stable parameters. Can. J. Fish. aquat. Sciences 38: 1128–1140

    Google Scholar 

  • Smith, J. W. (1974). Experimental transfer of Anisakis sp. larvae (Nematoda: Ascaridida) from one fish host to another. J. Helminth. 48: 229–234

    Google Scholar 

  • Smith J. W. (1983). Anisakis simplex (Rudolphi 1809, det. Krabbe, 1878) (Nematoda: Ascaridoidea): morphology and morphometry of larvae from euphausiids and fish, and a review of the life-history and ecology. J. Helminth. 57: 205–224

    Google Scholar 

  • Smith, J. W. (1984). Anisakis simplex (Rudolphi, 1809, det. Krabbe, 1878): length distribution and viability of L3 of known minimum age from herring Clupea harengus L. J. Helminth. 58: 337–340

    Google Scholar 

  • Smith, P. J., Mattlin, R. H., Roeleveld, M. A., Okutani, T. (1987). Arrow squids of the genus Nototodarus in New Zealand waters: systematics, biology, and fisheries. N. Z. Jl mar. Freshwat. Res. 21: 315–326

    Google Scholar 

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Gibson, D., Jones, J.B. Fed up with parasites? A method for estimating asymptotic growth in fish populations. Marine Biology 117, 495–500 (1993). https://doi.org/10.1007/BF00349325

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  • DOI: https://doi.org/10.1007/BF00349325

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