Management measures and fishers' commitment to sustainable exploitation: a case study of Atlantic salmon fisheries in the Baltic Sea

TLDR: In this article, a Bayesian belief network is used to examine which factors determine fishers' commitment to sustainable fisheries goals, what impact commitment has on exploitation rate, and what measures can be taken to improve commitment.

Abstract: 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 questionnaire, we use a Bayesian belief network to examine which factors determine fishers’ commitment to sustainable fisheries goals, what impact commitment has on exploitation rate, and what measures can be taken to improve commitment. In addition to exploring alternative management measures, the analysis evaluates knowledge actions (providing information to fishers) and commitment actions (intended to increase trust, consensus, and cooperation). The method is applied in a Baltic Sea case study in which commitment is important for successful recovery of Atlantic salmon (Salmo salar) stocks. The results indicate that the more fishers rely on fishing as their source of income, the less is their commitment and the smaller is the impact of changes in commitment on subsequent catches. The results suggest that commitment can be improved by selecting management measures favoured by fishers and by combining them with commitment and knowledge actions.