%0 Journal Article
%A Perni, Ángel
%A Riesgo, Laura
%A Toledo-Guedes, Kilian
%T Stakeholder preferences for managing massive fish escapes from aquaculture under increasing extreme coastal events in Spain
%D 2026
%U https://hdl.handle.net/10433/27367
%X Climate change can significantly increase massive fish escapes from marine aquaculture facilities as coastal extreme events become more frequent and severe. Despite the significant environmental and economic consequences of fish escapes, regulations and management measures remain scarce worldwide, particularly in Mediterranean areas. This research presents a transdisciplinary evaluation of fish escape management measures in Spain by (i) identifying measures to reduce the impact of massive escape events, (ii) analysing how stakeholders prioritise these measures, and (iii) comparing stakeholders' priorities with consumers' perceptions. For this purpose, two surveys were conducted: one targeting stakeholders directly involved in escape management (aquaculture farmers, fisheries sector, researchers, and public administration officers, n = 97), and another targeting fish consumers (n = 807). Using the Unweighted TOPSIS multicriteria method, six mitigation, contingency and restoration measures were evaluated by stakeholders. Both stakeholders and consumers expressed the strongest support for market transparency measures aimed at preventing food fraud, particularly detailed labelling and information systems for fish escape events, as selling escaped farmed fish as wild-caught is not currently subject to compulsory control or regulation. Improving site selection and relocation of facilities, as well as the adoption of the UNE 173202 standard, are also considered as suitable solutions to minimise the risk of massive fish escapes. An effective escape management framework should combine rapid operational response mechanisms with long-term preventive planning that explicitly accounts for the effects of climate change, while ensuring consumer protection.
%K Aquaculture
%K Climate change
%K Multicriteria analysis
%K TOPSIS
%K Fish consumers
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