Co-creating Ecosystem-based Fisheries Management Solutions

Description

The society and fisheries stakeholders have solid interest in sustainable use of marine resources. The vision of MareFrame is to significantly increase the use of ecosystem-based approach to fisheries management (EAFM) when providing advice relating to European fish stocks. Adaptation of EAFM will support implementation the new Common Fisheries Policy (CFP), the Marine Strategy Framework Directive (MSFD) and the Habitats Directive (HD). In the past years many ecosystem models have been developed, enormous amount of data has been collected and analyzed, and a great deal of scientific knowledge has been created. Yet very little of this has been translated into the actual advice provided for the management of fisheries.

The overall objective of MareFrame is to remove the barriers preventing more widespread use of EAFM through development of new technologies, extension of ecosystem models and assessment methods, and development of a decision support framework that can highlight alternatives and trade-offs. Emphasis is put on close integration and co-creation with stakeholders in all development phases, to ensure that ownership is with them, and to increase acceptance of the project outcomes. The benefits will include efficient and effective decision-making and implementation leading to sustainable fishery industry performance in terms of ecological, social and economic aspects.

Decision making relating to EAFM is complex due to the multiple policies that are involved, the differences in concerns and priorities among stakeholders, and the need to integrate multidisciplinary information having inherent uncertainties. Effective planning and decision making in such a context can be systematically aided by decision support tools, which allow for interactive analysis of focal problems as well as the test of alternative scenarios through simulation. In relation to an EAFM, decision support can in particular help managers to take account of numerous policy objectives and stakeholder concerns and to be knowledgeable about trade-offs between the use of many ecosystem services given the natural constraints of the system in question. The general decision support approach will be the with Bayesian belief nets, which represent a powerful technique for reasoning under uncertainty, supported by multi-criteria analysis (MCA) in some of the case studies.

The case studies considered include Baltic Sea, North Sea, Northern & Western Waters (Icelandic Waters), Northern Waters (West of Scotland), South-Western Waters (Gulf of Gadiz), Mediterranean (Strait of Sicily), Black Sea and Chatham Rise in New Zealand. They enfold a wide range of latitudes and ecosystem types, biological complexity and ecological knowledge. The case studies also cover a large array of management practices, issues and priorities.

In MareFrame there are 28 project partners in 14 countries. The project receives funding from the European Union´s Seventh Framework Programme.
StatusFinished
Effective start/end date01/01/201431/12/2017

Funding

  • Unknown funder

Fields of Science

  • 113 Computer and information sciences
  • 119 Other natural sciences