Reviews in Fish Biology and Fisheries

, Volume 22, Issue 3, pp 751–766 | Cite as

Stock estimation, environmental monitoring and equilibrium control of a fish population with reserve area

  • M. GámezEmail author
  • I. López
  • Z. Varga
  • J. Garay
Research Paper


For sustainable exploitation of renewable resources, the separation of a reserve area is a natural idea. In particular, in fishery management of such systems, dynamic modelling, monitoring and control has gained major attention in recent years. In this paper, based on the known dynamic model of a fish population with reserve area, the methodology of mathematical systems theory and optimal control is applied. In most cases, the control variable is fishing effort in the unreserved area. Working with illustrative data, first a deterministic stock estimation is proposed using an observer design method. A similar approach is also applied to the estimation of the effect of an unknown environmental change. Then it is shown how the system can be steered to equilibrium in given time, using fishing effort as an open-loop control. Furthermore, a corresponding optimal control problem is also solved, maximizing the harvested biomass while controlling the system into equilibrium. Finally, a closed-loop control model is applied to asymptotically control the system into a desired equilibrium, intervening this time in the reserve area.


Stock estimation Fishery resource management Reserve area Observer system Ecosystem monitoring Ecosystem control 



The research has been supported by the Hungarian Scientific Research Fund OTKA (K81279). The valuable comments of the anonymous referees are acknowledged.


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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Department of Statistics and Applied MathematicsUniversity of AlmeríaAlmeríaSpain
  2. 2.Institute of Mathematics and InformaticsSzent István UniversityGodolloHungary
  3. 3.Research Group of Theoretical Biology and Ecology of the Hungarian Academy of Sciences and Department of Plant Taxonomy and EcologyL. Eötvös UniversityBudapestHungary

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