@article{Levontin:59093,
      recid = {59093},
      author = {Levontin, Polina and Kulmala, Soile and Haapasaari, Paivi  and Kuikka, Sakari},
      title = {Integration of biological, economic and sociological  knowledge by Bayesian belief networks: the  interdisciplinary evaluation of potential Baltic salmon  management plan},
      address = {2010},
      number = {421-2016-26813},
      pages = {28},
      year = {2010},
      abstract = {There is a growing need to evaluate fisheries management  plans in a comprehensive
interdisciplinary context  involving stakeholders. In this paper we demonstrate  a
probabilistic management model to evaluate potential  management plans for Baltic
salmon fisheries. The analysis  is based on several studies carried out by scientists
from  respective disciplines. The main part consisted of  biological and ecological stock
assessment with integrated  economic analysis of the commercial fisheries.
Recreational  fisheries were evaluated separately. Finally, a  sociological study was
conducted aimed at understanding  stakeholder perspectives and potential commitment
to  alternative management plans. In order to synthesize the  findings from these
disparate studies a Bayesian Belief  Network (BBN) methodology is used.
The ranking of  management options can depend on the stakeholder  perspective. The
trade-offs can be analysed quantitatively  with the BBN model by combining,
according to the decision  maker’s set of priorities, utility functions that  represent
stakeholders’ views. We show how BBN can be used  to evaluate robustness of
management decisions to different  priorities and various sources of uncertainty.  In
particular, the importance of sociological studies in  quantifying uncertainty about the
commitment of fishermen  to management plans is highlighted by modelling the  link
between commitment and implementation success.},
      url = {http://ageconsearch.umn.edu/record/59093},
      doi = {https://doi.org/10.22004/ag.econ.59093},
}