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• W2134787166 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." @default.
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• W2134787166 date "2014-01-12" @default.
• W2134787166 modified "2023-09-23" @default.
• W2134787166 title "Toward Integrative Management Advice of Water Quality, Oil Spills, and Fishery in the Gulf of Finland: A Bayesian Approach" @default.
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• W2134787166 doi "https://doi.org/10.1007/s13280-013-0482-7" @default.
• W2134787166 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3888659" @default.
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