ABSTRACT. The Common Fisheries Policy (CFP) sets the guidelines for the management of European fisheries. The CFP is revised every 10 years, and the last two revisions have laid the groundwork for extending stakeholder participation in European Union fisheries management. The fishery industry and nongovernmental organization (NGOs) especially are recommended to be given greater influence. In this paper we report results from an international survey on fisheries stakeholders' preferences for the three pillars of sustainable fisheries activities as defined in the CFP: ecological, economic, and social. Results of the survey show that industry member preferences were significantly different from the preferences of authorities, scientists, and NGOs. The preferences of the three latter groups did not vary significantly across stakeholder group. This raises the question of what consequences the planned stakeholder involvement in the CFP may have, given the preferences revealed in our survey.
Our oceans are heavily utilized by a wide variety of human activities that exert pressures which negatively impact marine ecosystems, occasionally leading to unsustainable rates of exploitation. A linkage framework approach can be used to make independent associations between sectors, activities, and the pressures they introduce. However, in reality, many different sectors and their associated activities overlap in time and space, potentially changing the severity of their impact as pressures combine, and undermine the efforts of environmental managers to mitigate the harmful effects of those activities. Here, we present a spatially resolved approach to assess the potential for combined effects using a linkage framework assessment. Using illustrative examples from the Northeast Atlantic, we show the likelihood of changes in pressure severity as a result of multiple overlapping activities. Management options to limit pressure introduction are explored and their benefit—measured as a reduction in the area of seabed impacted—assessed. In its simplest form, the approach can be used to develop potential precautionary management options in areas where data availability is poor and more comprehensive management measures where data are more widely available.
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