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EFFECTIVE

Enhancing social well being and economic prosperity by reinforcing the eFFECTIVEness of protection and restoration management in Mediterranean MPAs

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The EFFECTIVE Project: Enriching the Scuba Diving Experience through Marine Conservation

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Scuba divers are essential stakeholders in marine conservation, and the EFFECTIVE Project offers them a unique opportunity to contribute to and benefit from efforts to protect and restore marine ecosystems. Involvement in Marine Conservation The EFFECTIVE Project allows scuba divers… Read More »The EFFECTIVE Project: Enriching the Scuba Diving Experience through Marine Conservation

EFFECTIVE is bringing benefits to fisheries and aquaculture producers

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The EFFECTIVE Project is a game-changer for fisheries and aquaculture producers, offering them numerous benefits that enhance sustainability, efficiency, and resilience.   Improved Sustainability Profile One of the primary advantages for fisheries and aquaculture producers involved in the EFFECTIVE Project is… Read More »EFFECTIVE is bringing benefits to fisheries and aquaculture producers

The EFFECTIVE Project: Benefiting Scientists and Researchers

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The EFFECTIVE Project significantly benefits scientists and researchers by fostering collaboration, providing new opportunities, and advancing marine conservation. Here are the key advantages: – Collaboration with MPA ManagersScientists gain from close collaboration with Marine Protected Area (MPA) managers, facilitating a two-way exchange… Read More »The EFFECTIVE Project: Benefiting Scientists and Researchers

Meet our Partner: IOW

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May we introduce you to IOW! How effective is the current management of Marine Protected Areas? And how can the ecosystem service concept support the governance and extension of MPAs? These are questions, the IOW team would like to address in EFFECTIVE.

Meet our Partners – DHI

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DHI is a skilled team of marine ecologists focused on using the data from pilot areas, satellites, and EU aggregators. Their goal is to create habitat-suitability maps and predictive models for creating the Digital Twin.