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

Growing into Interdisciplinarity: How to Converge Biology, Economics, and Social Science in Fisheries Research?

“…Publication titles Commitment to salmon: using Bayesian modeling to create a sustainable fisheries management tool based on commitment of fishermen A bioeconomic analysis of the Northern Baltic salmon fishery: management of competing sequential fisheries Interdisciplinary modeling through probabilistic networks: impact of fishermen's commitment on the management of wild Baltic salmon stocks (Michielsens et al 2005a) Interdisciplinary probabilistic network to examine the possibility to restore potential Baltic salmon rivers (Michielsens et al 2005b) Reconciling economic and biological modelling of migratory fish stocks: optimal management of the northern Baltic salmon fishery (Kulmala et al 2006) A Bayesian state-space mark-recapture model to estimate exploitation rates in mixed-stock fisheries (Michielsens et al 2006b) Estimation of annual mortality rates caused by early mortality syndromes (EMS) and their impact on salmonid stock-recruit relationships (Michielsens et al 2006a) Management measures and fishers' commitment to sustainable exploitation: a case study of Atlantic salmon fisheries in the Baltic Sea (Haapasaari et al 2007) Reconciling economic and biological modeling of migratory fish stocks: optimal management of the Atlantic salmon fishery in the Baltic Sea (Kulmala et al 2008) Combining Michielsens et al 2006a, Michielsens et al 2006b, Michielsens et al 2008. The idea of the approach is to update prior knowledge, expressed as probability distributions, with new knowledge to get a posterior understanding of the problem.…”

“…In addition to that, the holistically oriented anthropology formed a favorable ground for the idea of integrating knowledge. Data were collected and analyzed using sociological methods, and were further structured into a Bayesian belief network (BBN) model (Haapasaari et al 2007). A fisheries scientist, specialized in the Bayesian method, familiarized a social scientist with the method, and contributed to technical details.…”

Formalizing expert knowledge to compare alternative management plans: Sociological perspective to the future management of Baltic salmon stocks

“…Commitment refers to a general attitude or voluntary support to a management plan, and is fruitful a concept to be applied in planning and ex-ante considerations of implementation uncertainty with regard to a long-term plan. Commitment enhances the probability of achieving the ultimate objective of a plan, while if stakeholders do not commit, the biological, social, and economic effects may be less predictable [16].…”

“…Haapasaari et al [16] found that fishers' commitment to a long-term management framework depended especially on their (1) economic interest in fishing or fish, i.e. the assessed influence of the plan in the economic situation of the fisher group, (2) belief in the ability of the management plan to influence positively in the fish stocks, i.e.…”

Baltic Herring Fisheries Management: Stakeholder Views to Frame the Problem

“…We have previously applied BBNs to fish stock assessments and other environmental problems also involving decision analyses . We have also found the approach useful in examining the human perspective of fisheries problems (Haapasaari et al 2007, Haapasaari and Karjalainen 2010, Levontin et al 2011. We have built BBN models based on expert knowledge ), but we have not, until now, tested the methodology in processes involving diverse stakeholder groups.…”