MoMeNTO: Real-time monitoring of mussel culture in rafts | Tools for flexible and resilient management to climate change

Pleamar program

This proposal seeks to develop an early warning system, based on the mussel as a biosensor, so that the effects of environmental variations on the physiological state of farmed animals can be directly integrated.
To this end, it is proposed to use a low-cost sensor developed by the CSIC, which allows monitoring the valvar behavior (frequency and amplitude) in real time, and characterizing this behavior as an indicator of thermal stress episodes, which allow the design of mitigation measures in terms of mussel production (transfer of ropes, etc.), but also provide information on Good Environmental Status that can be used for other monitoring and management measures environmental.

Project

Line of action:

Marine ecosystems

Status:

En ejecución

Execution date:

2024

End date:

2025

Project web page:

https://www.programapleamar.es/proyectos/momento-monitorizacion-en-tiempo-real-del-cultivo-de-mejillon-en-batea-herramientas-para

Objectives

Develop thermal stress indicators based on mussel behavior response in the laboratory
Identify particular heat stress thresholds for mussel farming in the Mediterranean and the Atlantic
To test the viability of the thermal stress monitoring system in the Atlantic demarcation (SPA Rías Baixas)
To test the feasibility of the thermal stress monitoring system in the Mediterranean demarcation (RAMSAR Ebro Delta)
Co-design adaptive management tools in the face of climate change, based on monitoring systems, involving all agents in the mushroom sector in an equitable way
To promote decision-making based on scientific data for sustainable and inclusive management of the sector and to create synergies between production systems in the Atlantic and Mediterranean demarcations

Actions

Laboratory development to parameterize mussel thermal stress responses with this technology, taking into account the different stress tolerance that could exist between Mediterranean and Atlantic populations.
These laboratory experiences would be the basis for the development of Machine Learning algorithms for the automatic detection of thermal stress episodes.
Next, the effectiveness of this development in farming systems in the Galician Rías (A2) and the Ebro Delta (A3) would be tested, in locations that, although designated as protected areas (ES0000499-SPA Marine Space of the Rías Baixas de Galicia; 593-RAMSAR Delta del Ebro), concentrate most of the mussel production in Spain.
At the same time, it is proposed to integrate the mussel aquaculture sector throughout the process, to encourage them in the co-design and use of adaptive management tools, as well as to promote digitalization and the development of new capacities, which encourage new vocations in the sector and a more effective integration of different groups.

Entity / grouped entities