VPA

VPAとは、年齢別漁獲尾数を使って資源尾数を推定する方法 で、現在最もスタンダードな資源量推定法です。
このページではVPAに関する情報をお伝えします。

資料

資源管理談話会(pdf634kb)

論文

  • Rochet, M. J.et al. 2011. Does selective fishing conserve community biodiversity? Predictions from a length-based multispecies model. Can. J. Fish. Aquat. Sci. 68: 469-486.
  • Salomon, A. K. et al. 2011. Bridging the divide between fisheries and marine conservation science. Bull. Mar. Sci. 87: 251-274.
  • Garrison, L. P. et al. 2010. An expansion of the MSVPA approach for quantifying predator-prey interactions in exploited fish communities. ICES Journal of Marine Science, 67: 856-870.
  • Hilborn, R. 2004. Future directions in ecosystem based fisheries management: A personal perspective. Fish. Res. 108: 235-239.Pikitch, E. et. al. Ecosystem-based fishery management. Science. 305: 346-347 (2004)
  • Magnusson, K. G. 1995. An overview of the multispecies VPA-theory and applications. Reviews in Fish Biology and Fisheries 5, 195-212.

VPAに関する論文

  • Akamine, T., 1995. Mathematical Approach to Virtual Population Analysis. Fisheries Science 61, 167.
  • Akamine, T., 1995. Relationship between Leslie Matrix and Cohort Analysis. Fisheries Science 61, 722.
  • Allen, K.R., Hearn, W.S., 1989. Some procedures for use in Cohort analysis and other population simulations.
    Can. J. Fish. Aquat. Sci. 46, 483-488.[解説1] [解説2]
  • Beyer, J., Kirchner, C., Holtzhausen, J., 1999. A method to determine size-specific natural mortality applied to westcoast steenbras (Lithognathus aureti) in Namibia. FISH RES 41, 133-153.
  • Doubleday, W.G., 1976. A least squares approach to analysing catch at age data. Res. Bull. ICNAF.
  • Evans, G.T., 1989. Rational approximations to solutions of the VPA equations. Can. J. Fish. Aquat. Sci. 46, 1274-1276.[解説1]　[解説2]
  • Fry, F.E.J., 1949. Statistics of a lake trout fishery. Biometrics 5, 26-67.
  • Gavaris, S., 1988. An adaptive framework for the estimation of population size. Departmet of Fisheries and Oceans Biological Station, St. Andrews.
  • Gulland, J.A., 1965. Estimation of mortality rates, Annex to Arctic fisheries Working Group Report. ICES C. M., Hamburg, January 1965.
  • Gunderson, D.R., 1980. Using r-K selection theory to predict natural mortality. Can. J. Fish. Aquat. Sci. 37, 2266-2271.
  • Hightower, J., 1998. Estimating natural mortality. http://legacy.ncsu.edu/classes/zo726001/EstimatingM.html.
  • Hilden, M., 1988. Errors of perception in stock and recruitment studies due to wrong choices of natural mortality rate in Virtual Population Analysis. J. Cons. int. Explor. Mer 44, 123-134.[解説]
  • Hiramatsu, K., 1990. A review on current investigation of the accuracy of single cohort analysis. Bull. Nat. Res. Inst. Far Seas Fish. 27, 1-10.
  • Hiramatsu, K., 1995. A Theoretical Study of Equations Used in Virtual Population Analysis. Fisheries Science 61, 752-754.
  • Hiramatsu, K., Tanaka, E., 2004. Reliability of stock size estimates from adaptive framework virtual population analysis. Fisheries Science 70, 1003-1008.
  • Hoag, S.H., MacNaughton, R.J., 1978. Abundance and fishing mortality of Pacific halibut, cohort analysis, 1935-1976. Sci. Rep. IPHC 65.
  • Hoenig, J.M., 1983. Empirical use of longevity data to estimate mortality rates. Fish. Bull. 81, 898-903.
  • Jones, R., 1964. Estimating population size from commercial statistics when fishing mortality varies with age. Rapp. p.-v. reun. – Cons. int. explor. mer 155, 210-214.
  • Jones, R., 1979. An analysis of a Nephropes stock using length composition data. Rapp. p.-v. reun. – Cons. int. explor. mer 175, 259-269.
  • Jones, R., 1981. The use of length composition data in fish stock assessments (with notes on VPA and cohort analysis), U. N. FAO Fisheries Circ.734, Rome.
  • Kimura, D.K., 1989. Variablilty in Estimating Catch-in-Numbers-at-Age and Its Impact on Cohort Analysis. In: Beamish, R.J., McFarlane, G.A. (Eds.), Effects of ocean variability on recruitment and an evaluation of parameters used in stock assessment
    models. Can. Sepc. Publ. Fish. Aquat. Sci., pp. 57-66.
  • Lai, H.L., Gallucci, V.F., 1988. Effects of parameter variability on length-cohort analysis. J. Cons. int. Explor. Mer 45, 82-92.
  • Lorenzen, K., 2000. Allometry of natural mortality as a basis for assessing optimal release size in fish-stocking programmes. CAN J FISH AQUAT SCI 57, 2374-2381.
  • MacCall, A.D., 1986. Virtual Population Analysis (VPA) Equations for Nonhomogeneous Populations, and a Family of Approximations Including Improvements on Pope’s Cohort Analysis. Can. J. Fish. Aquat. Sci. 43, 2406-2409.
  • Matsuishi, T. 1997. Development and accuracy assessment of a method of separable VPA based on Catch-at length data. Memoires of the faculty of fisheries hokkaido university. 43, 1-80.
  • Megrey, B.A., 1989. Review and comparison of age-structured stock assessment models. Amer. Fish. Soc. Symp. 6, 8-48.
  • Murphy, G.I., 1965. A solution of the catch equation. J. Fish. Res. Board Can., 22, 191-202.
  • Paloheimo, J.E., 1958. A method of estimating natural and fishing mortalities. J. Fish. Res. Board Can. 15, 749-758.
  • Pauly, D., 1980. On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stockes. J. Cons. int. Explor. Mer 39, 175-192.
  • Pope, J.G., 1972. An investigation of accuracy of virtual population analysis using cohort analysis. Research Bulletin of the International Commission for the Northwest Atlantic Fisheries 9, 65-74.
  • Pope, J.G., 1977. Estimation of fishing mortality, its precision and implications for the management of fisheries. In: Steele, J.H. (Ed.), Fisheries Mathematics. Academic Press, London, pp. 63-74.
  • Pope, J.G., Shepherd, J.G., 1982. A simple method for the consistent interpretation of catch-at-age data. J. Cons. int. Explor. Mer 40, 176-184.[解説]
  • Restrepo, V.R., Legault, C.M., 1995. Approximations for solving the catch equation when it involves a “plus group”. Fishery Bulletin 93, 308-314.
  • Richerds, L.J., Schunete, J.T., Kronlund, A.R., Beamish, R.J., 1992. Statistical models for the analysis of ageing error. Can. J. Fish. Aquat. Sci. 49, 1801-1815.
  • Riverd, D., 1989. Overview of the systematic, structural, and sampling errors in cohort analysis. Amer. Fish. Soc. Symp. 6, 49-65.
  • Saila, S.B., Lorda, E., Walker, H.A., 1985. The analysis of paramter error propagation in simple fishery models. Mar. Resour. Econ. 1, 235-246.
  • Sampson, D.B., 1987. Variance estimators for virtual population analysis. J. Cons. int. Explor. Mer 43, 149-158.
  • Sampson, D.B., 1988. The stability of Virtual Population Analysis cohort size estimates. J. Cons. int. Explor. Mer 44, 135-142.
  • Sims, S.E., 1982. Algorithms for Solving the Catch Equation Forward and Backward in Time. Can. J. Fish. Aquat. Sci. 39, 197-202.
  • Sims, S.E., 1984. An analysis of the effect of errors in the natural mortality rate on stock size estimaties using virtual population analysis(cohort analysis). J. Cons. int. Explor. Mer 41, 149-153.
  • Sullivan, P.I., Lai, H.L., Gallucci, V.F., 1990. A Catch-at-Length Analysis that Incorporates a Stochastic Model of Growth. Can. J. Fish. Aquat. Sci. 47, 184-198.
  • Ueda, Y., Matsuishi, T., 2004. The Weight-based Virtual Population Analysis of Pacific Cod Gadus macrocephalus off the Pacific Coast of Southern Hokkaido, Japan. Fisheries Science 70, 829-838.
  • Ueda, Y., Matsuishi, T., Kanno, Y., 2001. Weight-based population analysis: an estimation method. FISH RES 50, 271-278.
  • Ulltang, O., 1977. Sources of errors in and limitations of virtual population analysis (cohort analysis). J. Cons. int. Explor. Mer 37, 249-260.
  • Vetter, E. F. 1988. Estimation of natural mortality in fish stocks: a review. Fish. Bull. 86: 25-43.
  • Yamaguchi, H., Ueda, Y., Kanno, Y. and Matsuishi, T. 2000. Population assessment using a length-based population analysis for the Eastern Hokkaido hair crab Erimacrus isenbeckii. Nippon Suisan Gakkaishi 66, 833-839.
  • Zhang, C.I., Sullivan, P.I., 1988. Biomass-based cohort analysis that incorporates growth. Trans. Amer. Fish. Soc. 117, 180-189.
  • Zheng, J., Murphy, M.C., Kruse, G.H., 1995. A length-based population model and stock-recruitment relationships for red king grab, Paralithodes camtschaticus, in Bristol Bay, Alaska. Can. J. Fish. Aquat. Sci. 52, 1229-1246.
  • Zheng, J., Murphy, M.C., Kruse, G.H., 1996. A catch-length analysis for crab populations. Fish. Bull. 94, 576-588.
  • 赤嶺達郎. 1995. コホート解析(VPA)入門. 水産海洋研究 59: 424-437.
  • 石岡清英, 岸田達. 1985. コホート解析に用いる漁獲方程式の解法とその精度の検討. 南西海区水産研究所研究報告 19: 111-120.
  • 田中昌一, 1960. 水産生物のポピュレーション・ダイナミクスと漁業資源管理. 東海水研報 28, 1-200.

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