AI Article Synopsis

  • The study explores a fishery model involving two areas: a marine protected area (MPA) where fishing is banned and a harvest zone where fish are caught, emphasizing how fish can rapidly move between these zones.
  • It utilizes a system of five ordinary differential equations with varying time scales to model fish population dynamics and fishing effort, allowing for a more streamlined analysis.
  • Findings indicate that optimal fishery yield occurs when fish populations exist in both small and large clusters, suggesting conditions for achieving a sustainable fishery.

Article Abstract

We consider a fishery model with two sites: (1) a marine protected area (MPA) where fishing is prohibited and (2) an area where the fish population is harvested. We assume that fish can migrate from MPA to fishing area at a very fast time scale and fish spatial organisation can change from small to large clusters of school at a fast time scale. The growth of the fish population and the catch are assumed to occur at a slow time scale. The complete model is a system of five ordinary differential equations with three time scales. We take advantage of the time scales using aggregation of variables methods to derive a reduced model governing the total fish density and fishing effort at the slow time scale. We analyze this aggregated model and show that under some conditions, there exists an equilibrium corresponding to a sustainable fishery. Our results suggest that in small pelagic fisheries the yield is maximum for a fish population distributed among both small and large clusters of school.

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Source
http://dx.doi.org/10.1007/s10441-014-9220-1DOI Listing

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