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Baltic Herring Fisheries Management: Stakeholder Views to Frame the Problem Ecology and Society
Kuikka, Sakari; University of Helsinki, Department of Environmental Sciences, Fisheries and Environmental Management Group (FEM); sakari.kuikka@helsinki.fi.
Comprehensive problem framing that includes different perspectives is essential for holistic understanding of complex problems and as the first step in building models. We involved five stakeholders to frame the management problem of the Central Baltic herring fishery. By using the Bayesian belief networks (BBNs) approach, the views of the stakeholders were built into graphical influence diagrams representing variables and their dependencies. The views of the scientists involved concentrated on biological concerns, whereas the fisher, the manager, and the representative of an environmental nongovernmental organization included markets and fishing industry influences. Management measures were considered to have a relatively small impact on the development...
Tipo: Peer-Reviewed Reports Palavras-chave: Bayesian belief networks; Influence diagrams; Objectives; Participatory modeling; Problem framing; Stakeholders; Structural uncertainty.
Ano: 2012
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Uncertainties in projecting climate-change impacts in marine ecosystems ArchiMer
Payne, Mark R.; Barange, Manuel; Cheung, William W. L.; Mackenzie, Brian R.; Batchelder, Harold P.; Cormon, Xochitl; Eddy, Tyler D.; Fernandes, Jose A.; Hollowed, Anne B.; Jones, Miranda C.; Link, Jason S.; Neubauer, Philipp; Ortiz, Ivonne; Queirós, Ana M.; Paula, José Ricardo.
Projections of the impacts of climate change on marine ecosystems are a key prerequisite for the planning of adaptation strategies, yet they are inevitably associated with uncertainty. Identifying, quantifying, and communicating this uncertainty is key to both evaluating the risk associated with a projection and building confidence in its robustness. We review how uncertainties in such projections are handled in marine science. We employ an approach developed in climate modelling by breaking uncertainty down into (i) structural (model) uncertainty, (ii) initialization and internal variability uncertainty, (iii) parametric uncertainty, and (iv) scenario uncertainty. For each uncertainty type, we then examine the current state-of-the-art in assessing and...
Tipo: Text Palavras-chave: Climate change; Initialization uncertainty; Parametric uncertainty; Projections; Scenario uncertainty; Structural uncertainty; Uncertainty..
Ano: 2016 URL: http://archimer.ifremer.fr/doc/00301/41220/40392.pdf
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