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Toward Integrative Management Advice of Water Quality, Oil Spills, and Fishery in the Gulf of Finland: A Bayesian Approach |
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| Authors: | Mika Rahikainen Inari Helle Päivi Haapasaari Soile Oinonen Sakari Kuikka Jarno Vanhatalo Samu Mäntyniemi Kirsi-Maaria Hoviniemi |
| Institution: | 1. Fisheries and Environmental Management Group (FEM), Department of Environmental Sciences, Helsinki University Centre for Environment (HENVI) and Finnish Environment Institute (SYKE), Viikinkaari 2a, P.O. Box 65, 00014, Helsinki, Finland 2. Fisheries and Environmental Management Group (FEM), Department of Environmental Sciences, University of Helsinki, Viikinkaari 2a, P.O. Box 65, 00014, Helsinki, Finland 3. Finnish Environment Institute (SYKE), Finnish Game and Fisheries Research Institute, MTT Agrifood Research Finland, Latokartanonkaari 9, 00790, Helsinki, Finland |
| Abstract: | 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 about building a Bayesian decision model, which includes three stressors present in the Gulf of Finland. The outcome of the integrative model is a set of probability distributions for future nutrient concentrations, herring stock biomass, and achieving the water quality targets set by HELCOM Baltic Sea Action Plan. These distributions can then be used to derive the probability of reaching the management targets for each alternative combination of management actions. |
| Keywords: | Baltic Sea Bayesian networks Probabilistic model Uncertainty Environmental management Integrated risk analysis |
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