Päivi Haapasaari

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  • Christine Röckmann, Marion Dreyer, +8 authors Martin Pastoors
  • 2015
How can uncertain fisheries science be linked with good governance processes, thereby increasing fisheries management legitimacy and effectiveness? Reducing the uncertainties around scientific models has long been perceived as the cure of the fisheries management problem. There is however increasing recognition that uncertainty in the numbers will remain. A(More)
Fisheries management aimed at sustainable exploitation may affect fish populations indirectly by influencing human behaviour. We propose a methodology that includes stakeholders’ opinions, perceptions, and resulting behaviour, within assessment models designed to evaluate the impact of different management measures on the stocks. Based on interviews and a(More)
It has been acknowledged that natural sciences alone cannot provide an adequate basis for the management of complex environmental problems. The scientific knowledge base has to be expanded in a more holistic direction by incorporating social and economic issues. As well, the multifaceted knowledge has to be summarized in a form that can support(More)
A participatory Bayesian approach was used to investigate how the views of stakeholders could be utilized to develop models to help understand the Central Baltic herring fishery. In task one, we applied the Bayesian belief network methodology to elicit the causal assumptions of six stakeholders on factors that influence natural mortality, growth, and egg(More)
Understanding and managing ecosystems affected by several anthropogenic stressors require methods that enable analyzing the joint effects of different factors in one framework. Further, as scientific knowledge about natural systems is loaded with uncertainty, it is essential that analyses are based on a probabilistic approach. We describe in this article(More)
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