Evaluating Biological Robustness of Innovative Management Alternatives

F. Bastardie, A. Baudron, R. Bilocca, J. Boje, T.P. Bult, D. Garcia, N.T. Hintzen

Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

2 Citations (Scopus)


The influence of innovative management alternatives (participatory governance, effort management, decision rules) on biological robustness (BR) in various fisheries relevant to the EU (Baltic, Western Shelf, Faroe Islands, North Sea), was investigated with a numerical simulation model developed in the EU projects EFIMAS (2004–2008) and COMMIT (2004–2007). The index for BR was set as the percentage of years in which standard biological reference points (Bpa, Fpa) were met. The results suggest that new information obtained through participatory governance may affect BR by reducing bias rather than increasing precision, implying that participatory governance should rather focus on potential sources of bias than on (perceived) low sampling efforts. Further analyses suggest that effort-based regimes combined with catch quota restrictions improve BR. However, the relative effect of catch quotas versus effort management on BR varies with circumstances, implying that careful and case-specific analyses are needed to weigh one against the other. This requires more detailed data than generally available at present, including electronic surveillance, detailed catch data, environmental/productivity data, recruitment and misreporting. Finally we analysed a decision rule consisting of a two-step management system, which allows TAC adjustment according to the state of the stock monitored during the fisheries season. Such measures may improve the BR
Original languageEnglish
Title of host publicationComparative Evaluations of Innovative Fisheries Management: Global Experiences and European Prospectst
EditorsK.H. Hauge, D.C. Wilson
Place of Publication[Dordrecht et al.]
Number of pages272
ISBN (Print)9789048126620
Publication statusPublished - 2009


  • Biological robustness
  • Decision rules
  • Evaluation
  • Harvest control rules
  • Management strategy evaluation
  • Reference points
  • Simulation


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