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Validating management simulation models and implications for communicating results to stakeholders
Pastoors, M.A.; Poos, J.-J.; Kraak, S.B.M.; Machiels, M.A.M. (2007). Validating management simulation models and implications for communicating results to stakeholders. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 64(4): 818-824. http://dx.doi.org/10.1093/icesjms/fsm051
In: ICES Journal of Marine Science. Academic Press: London. ISSN 1054-3139; e-ISSN 1095-9289, more
Peer reviewed article  

Available in  Authors 

Keywords
    Communication
    Environments > Aquatic environment > Marine environment
    Fisheries > Finfish fisheries > Flatfish fisheries
    Management > Resource management > Fishery management
    Population dynamics
    Simulation
    Stock assessment
    Taxa > Species > Commercial species
    Pleuronectiformes [WoRMS]
    Marine/Coastal
Author keywords
    communication; flatfish; management strategy evaluation; North Sea;operating model; simulation; stakeholders

Authors  Top 
  • Pastoors, M.A., more
  • Poos, J.-J., more
  • Kraak, S.B.M., more
  • Machiels, M.A.M.

Abstract
    Simulations of management plans generally aim to demonstrate the robustness of the plans to assumptions about population dynamics and fleet dynamics. Such modelling is characterized by specification of an operating model (OM) representing the underlying truth and a management procedure that mimics the process of acquiring knowledge, formulating management decisions, and implementing those decisions. We employ such a model to evaluate a management plan for North Sea flatfish proposed by the North Sea Regional Advisory Council in May 2005. Focus is on the construction and conditioning of OMs, key requirements for such simulations. We describe the process of setting up and validating OMs along with its effects on the ability to communicate the results to the stakeholders. We conclude that there is tension between the level of detail required by stakeholders and the level of detail that can be provided. In communicating the results of simulations, it is necessary to make very clear how OMs depend on past perceptions of stock dynamics.

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