Addressing Sustainability Transition Pathways in the Blue Economy
"Oceans are a life-support system for human societies. They supply fundamental goods such as fish food, materials, energy and provide benefits associated with our well-being, they form cultural values and contribute to jobs creati...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Información proyecto Blue-Paths
Duración del proyecto: 26 meses
Fecha Inicio: 2022-12-07
Fecha Fin: 2025-02-28
Líder del proyecto
UNIVERSITAT DE GIRONA
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores227
Presupuesto del proyecto
165K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
"Oceans are a life-support system for human societies. They supply fundamental goods such as fish food, materials, energy and provide benefits associated with our well-being, they form cultural values and contribute to jobs creation and trade. The development of national ocean development plans combined with Blue Growth (BG) strategies are turning the ocean into a new frontier of industrial development. In fact, the EU's Blue Economy produces a turnover of 750 billion euro/year. However, the actual sustainability of this Blue Acceleration process remain to a large extent uncertain, due to 1) an unclear interpretation of the concept of ""Blue Growth"" across different policies, the 2) multiple human pressures across scales and marine regions cause ecological degradation with high social costs and 3) the lack of integrated methodologies that can capture the effects of the BG trends on oceans health and human well-being over spatio-temporal scales. There is an urgent need for interdisciplinary approaches that can address the pathways of sustainable transitions in marine realms and the deriving benefits and costs to society and the environment. Blue-Paths aims to 1) develop an integrated human-ocean framework for BG; 2) identify environmental and socio-economic effects of pathways of sustainable transitions on the use of ocean?s ecosystem goods and services and 3) deliver new knowledge on the management and planning of ocean resource. To do so, Blue-Paths will couple a marine socio-ecological system (SES) framework with an Ensemble Machine Learning (ML) technique to simulate the spatio-temporal environmental and socio-economic effects on the marine SES induced by pervasive ocean technologies. This is of high practical value, as it will be tested on the 2050 ecological transition plan of Spain. Blue-Paths framework combined with ML techniques will provide innovative tools to monitor the sustainable use of the ocean space and foster adaptive management of marine resources."