Stock Dynamics in Stage Structured Multi-agent Fisheries

  • En-Guo Gu
  • Fabio LamantiaEmail author


The sustainable use of public renewable resources is a crucial issue for the long run survival of mankind.With a rapidly increasing population and a quick economy development, overexploitation of worldwide renewable resources seriously affects their ability to renew themselves and therefore their sustainable use (Food and Agriculture Organization, 2004; Garcia & Grainger, 2005). To complicate the problem further, the modelling of commercial exploitation of renewable resources represents an extremely challenging task, as it always involves nonlinear interaction among many different components (biological, economic, social) as well as uncertainty. In particular the issue of fishery management with chaotic and catastrophic dynamics has been thoroughly discussed in Rosser (2002a). Many researchers have investigated the dynamic of an exploited biomass regarded as a single species (Bischi & Lamantia, 2007; Bischi, Kopel, & Szidarovszky, 2005; Clark, 1990; Fan & Wang, 1998; Gu, 2007). Recently also the evolution of an exploited stage-structured single species has been addressed (see Jing and Ke (2004); Song and Chen (2002); Gao, Chen, and Sun (2005)). This analysis is of particular significance especially for those many species whose individuals have different economic value at different ages. For example, little eels are often called “soft gold,” for their high economic value, so many agents are interested in harvesting only little eels. But the case is exactly the opposite for those species whose immature individuals have negligible conomic value, so that exploiters want to harvest only the mature population and let the immature population grows, so that it can acquire a greater value. Often also public regulators try to direct the harvesting activity toward a target stage, for instance by limiting the use of trawl with too small meshes in order to protect the infant population


Bifurcation Diagram Chaotic Attractor Positive Equilibrium Positive Steady State Infant Population 
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The authors acknowledge helpful comments of an anonymous referee. The usual disclaimer applies. This Work is Supported by National Natural Science Foundation of China (10871209). The first author is grateful for the support from the key NSF of SCUFN (YZZ06027).


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© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Department of Business SciencesUniversity of CalabriaRendeItaly

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