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A bioeconomic model for Mediterranean fisheries, the hake off Catalonia (western Mediterranean) as a case study
Lleonart, J.; Maynou, F.; Recasens, L.; Franquesa, R. (2003). A bioeconomic model for Mediterranean fisheries, the hake off Catalonia (western Mediterranean) as a case study. Sci. Mar. (Barc.) 67(S1): 337-351. https://dx.doi.org/10.3989/scimar.2003.67s1337
In: Scientia Marina (Barcelona). Consejo Superior de Investigaciones Científicas. Institut de Ciènces del Mar: Barcelona. ISSN 0214-8358; e-ISSN 1886-8134, more
Also appears in:
Ulltang, Ø.; Blom, G. (2003). Fish stock assessments and predictions: integrating relevant knowledge. SAP Symposium held in Bergen, Norway 4-6 December 2000. Scientia Marina (Barcelona), 67(S1). Institut de Ciències de Mar: Barcelona. 374 pp. https://dx.doi.org/10.3989/scimar.2003.67s1, more
Peer reviewed article  
Available in  Authors 
Keywords
    Fisheries > Finfish fisheries > Gadoid fisheries
    Models
    Merluccius merluccius (Linnaeus, 1758) [WoRMS]
    MED, Western Mediterranean [Marine Regions]; Spain, Catalonia [Marine Regions]
    Marine/Coastal
Authors  Top 
  • Lleonart, J.
  • Maynou, F.
  • Recasens, L.
  • Franquesa, R.
Abstract
    The theoretical aspects and the associated software of a bioeconomic model for Mediterranean fisheries are presented. The first objective of the model is to reproduce the bioeconomic conditions in which the fisheries occur. The model is, perforce, multispecies and multigear. The main management procedure is effort limitation. The model also incorporates the usual fishermen strategy of increasing efficiency to obtain increased fishing mortality while maintaining the nominal effort. This is modelled by means of a function relating the efficiency (or technological progress) with the capital invested in the fishery and time. A second objective is to simulate alternative management strategies. The model allows the operation of technical and economic management measures in the presence of different kind of events. Both deterministic and stochastic simulations can be performed. An application of this tool to the hake fishery off Catalonia is presented, considering the other species caught and the different gears used. Several alternative management measures are tested and their consequences for the stock and economy of fishermen are analysed.
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