Incorporating Allee effects in fish stock-recruitment models and applications for determining reference points

D.G. Chen, J.R. Irvine, and A.J. Cass Abstract: A new type of stock-recruitment model is examined that incorporates Allee effects, which may occur when fish populations are small. The model is a natural extension of traditional models, which only incorporate the negative effects of increasing density on fecundity and (or) survival. Because the new model is intrinsically nonlinear and because of convergence problems at local optima, we use a maximum likelihood approach with a global genetic search algorithm to estimate model parameters. Parameter uncertainty is obtained from the inverse of the Fisher information matrix. Based on this new model, an extinction probability curve is developed using the parameter defining the Allee effects. This curve can readily be used to calculate the theoretical probability of extinction for a single brood line in one generation for any particular spawner number or biomass. Alternatively, because managers may wish to assign reference points corresponding to particular extinction probabilities, spawner numbers can be determined for these reference points. Two Pacific salmon populations, North Thompson coho (Oncorhynchus kisutch) and Chilko sockeye (O. nerka), are used to demonstrate the approach. It is found that the Allee effect parameter is statistically significant for the Thompson coho, but not for Chilko sockeye.

[1]  C. Walters,et al.  Quantitative fisheries stock assessment: Choice, dynamics and uncertainty , 2004, Reviews in Fish Biology and Fisheries.

[2]  Carl J. Walters,et al.  Cultivation/depensation effects on juvenile survival and recruitment: implications for the theory of fishing , 2001 .

[3]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[4]  John Merritt Emlen Population biology. The coevolution of population dynamics and behaviour , 1984 .

[5]  Karl P. Schmidt,et al.  Principles of Animal Ecology , 1950 .

[6]  D. Chen,et al.  A semiparametric model to examine stock-recruitment relationships incorporating environmental data , 2001 .

[7]  N. Dulvy,et al.  Extinction vulnerability in marine populations , 2003 .

[8]  Ding-Geng Chen,et al.  A fuzzy logic model with genetic algorithm for analyzing fish stock-recruitment relationships , 2000 .

[9]  J. Irvine,et al.  Chance fluctuations and the survival of small salmon stocks , 1999 .

[10]  J. Maguire,et al.  Recent international agreements and the precautionary approach: new directions for fisheries management science , 1998 .

[11]  M. Ford,et al.  Viable salmonid populations and the recovery of evolutionarily significant units , 2000 .

[12]  J. Wolfowitz,et al.  Introduction to the Theory of Statistics. , 1951 .

[13]  W. Ricker Computation and interpretation of biological statistics of fish populations , 1977 .

[14]  K. Frank,et al.  Allee effects and compensatory population dynamics within a stock complex , 2000 .

[15]  Density-Dependent Selection II. The Allee Effect , 1979, The American Naturalist.

[16]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[17]  R. Deriso Harvesting Strategies and Parameter Estimation for an Age-Structured Model , 1980 .

[18]  B. Clarke Density-Dependent Selection , 1972, The American Naturalist.

[19]  R. Beverton,et al.  On the dynamics of exploited fish populations , 1993, Reviews in Fish Biology and Fisheries.

[20]  Biological Responses of Sockeye Salmon to the Fertilization of Chilko Lake, a Large Lake in the Interior of British Columbia , 2000 .

[21]  W. C. Allee Principles Of Animal Ecology , 1949 .

[22]  Ray Hilborn,et al.  Depensation in fish stocks : a hierarchic Bayesian meta-analysis , 1997 .

[23]  James R. Irvine,et al.  Land use, fishing, climate change, and the decline of Thompson River, British Columbia, coho salmon , 2000 .

[24]  Norman R. Draper,et al.  Applied regression analysis (2. ed.) , 1981, Wiley series in probability and mathematical statistics.

[25]  J. G. Kalbfleisch Probability and Statistical Inference , 1977 .

[26]  A. Rosenberg,et al.  Population Dynamics of Exploited Fish Stocks at Low Population Levels , 1995, Science.