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Fisheries Management and the Interactive Dynamics of Walleye and Perch Populations

  • John R. Post
  • Lars G. Rudstam
Part of the Springer Series on Environmental Management book series (SSEM)

Abstract

A major goal of fisheries management is to predict effects of management strategies on future population sizes. Natural populations are inherently variable through time. Analytical one-population models have revealed an impressive array of population behavior ranging from equilibrium to chaos (Ricker 1954; May and Oster 1976; Levin and Goodyear 1980), but these models are difficult to apply to the real world and it is unclear whether more complex biological systems behave similarly (Bledsoe and Megrey, in press). Empirical models are based on the observed relationships among variables and do allow description of average conditions from biological data. But these models often explain only a small portion of the variability in the data (see Walters 1986). This poor explanatory power is often assumed to be the result of invironmental variability. It is therefore not suprising that application of empirical models to new situation has been largely unsuccessfull (Sissenwine 1984; Getz and Haight 1989).

Keywords

Exploitation Rate Fishery Management Yellow Perch Zooplankton Biomass High Exploitation Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 1992

Authors and Affiliations

  • John R. Post
  • Lars G. Rudstam

There are no affiliations available

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