Author: Haapasaari Päivi Kuikka Sakari Parmanne Raimo Lehtiniemi Maiju Kaitaranta Joni
Publisher: NRC Research Press
ISSN: 1205-7533
Source: Canadian Journal of Fisheries and Aquatic Sciences, Vol.70, Iss.4, 2013-01, pp. : 591-599
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Abstract
We present a method by which the knowledge of stakeholders can be taken into account in stock assessment. The approach consists of a structured interview process followed by quantitative modelling of the answers. The outcome is a set of probability models, each describing the views of different stakeholders. Individual models are then merged to a large model by applying the techniques of Bayesian model averaging, and this model is conditioned on stock assessment data. As a result, the views of interviewed stakeholders have been taken into account and weighed based on how well their views are supported by the observed data. We applied this method to the Baltic Sea herring (
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