Presentation Information
[8uJbD0lg-01]Integrating Social-Ecological Systems into a Digital Twin for Multi-Use Offshore Wind and Aquaculture in the German Bight
*Matthias Daniel Berg1 (1. Helmholtz-Zentrum Hereon (Germany))
The German Bight is undergoing a major transition towards a sustainable Blue Economy. A key part of it is the development of offshore wind farms (OWF) with the potential of multi-use with lower trophic aquaculture (LTA), which can enhance resource efficiency while contributing to food production, ecosystem services, and climate-neutral economic growth. However, the success of such multi-use concepts depends on complex interactions between environmental conditions, ecosystem dynamics, governance structures, and stakeholder decisions.
This study deploys the Social-Ecological Systems (SES) framework of Ostrom and McGinnis within a Digital Twin approach. The SES framework provides a structured representation of interactions among ecological resources, infrastructure, governance systems, and resource users, while the Digital Twin enables the integration of observations, numerical models, indicators, and scenario-based decision-support capabilities within a common operational environment.
A series of "what-if" scenarios are investigated using the SCHISM hydrodynamic model coupled with the ECOSMO biogeochemical model. The simulations provide information on environmental conditions, ecosystem productivity, mussel growth potential, and harvestable biomass under different environmental and management settings. These results are integrated into the Digital Twin to evaluate alternative development pathways, assess trade-offs and synergies between offshore wind and aquaculture activities, and support stakeholder-oriented decision-making. The approach builds upon advances achieved in research initiatives addressing marine spatial planning, offshore multi-use systems, Digital Twins of the Ocean, and sustainable Blue Economy development. The Digital Twin provides a platform for exploring future development pathways, evaluating management options, and supporting evidence-based decision-making under changing conditions.
The work contributes to the development of next-generation Digital Twins of the Ocean by demonstrating how social-ecological frameworks, numerical modelling, and stakeholder-oriented scenario analysis can be combined within an operational decision-support environment. The proposed framework supports adaptive marine spatial planning and contributes to the sustainable and resilient management of marine environments in the German Bight and beyond.
This study deploys the Social-Ecological Systems (SES) framework of Ostrom and McGinnis within a Digital Twin approach. The SES framework provides a structured representation of interactions among ecological resources, infrastructure, governance systems, and resource users, while the Digital Twin enables the integration of observations, numerical models, indicators, and scenario-based decision-support capabilities within a common operational environment.
A series of "what-if" scenarios are investigated using the SCHISM hydrodynamic model coupled with the ECOSMO biogeochemical model. The simulations provide information on environmental conditions, ecosystem productivity, mussel growth potential, and harvestable biomass under different environmental and management settings. These results are integrated into the Digital Twin to evaluate alternative development pathways, assess trade-offs and synergies between offshore wind and aquaculture activities, and support stakeholder-oriented decision-making. The approach builds upon advances achieved in research initiatives addressing marine spatial planning, offshore multi-use systems, Digital Twins of the Ocean, and sustainable Blue Economy development. The Digital Twin provides a platform for exploring future development pathways, evaluating management options, and supporting evidence-based decision-making under changing conditions.
The work contributes to the development of next-generation Digital Twins of the Ocean by demonstrating how social-ecological frameworks, numerical modelling, and stakeholder-oriented scenario analysis can be combined within an operational decision-support environment. The proposed framework supports adaptive marine spatial planning and contributes to the sustainable and resilient management of marine environments in the German Bight and beyond.
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