Vision
SURIMI’s mission is to build partnerships with stakeholders from industry, science, policy, and society to develop nine socio-ecological models for integration into the European Digital Twin of the Ocean (EU DTO). By using simulated ecological and fisheries data, SURIMI aims to enhance our understanding of how fishing activities affect sensitive species, seabed habitats, and biodiversity hotspots. Additionally, SURIMI seeks to broaden participation in ocean sciences and sustainability efforts by making the EU DTO more accessible through a user-friendly toolkit, graphical user interface, and the co-creation of tools. These innovations will strengthen the EU DTO’s ability to support informed decision-making and policy development, particularly in marine management strategy evaluation (MSE) analyses.
The heart of SURIMI consists of a toolbox with a set of socio-ecological models that will be developed, refined and coupled throughout the project. The combinations of models that represent the ecology and socio-economics relevant for understanding the dynamics of human fishery activities will be accompanied by assessment and policy modules that will enable stakeholders to retrieve important information and simulate the probable effects of selected what-if scenarios. SURIMI toolbox will package the models and datasets and provide a user-friendly, interactive interface that will support stakeholder interaction with the developed tools. Models informed by data will be onboarded as core elements in the EU DTO infrastructure and model lab.
Models
The SURIMI toolbox encompasses the following models:
- POSEIDON
An advanced agent-based simulation tool designed to help manage fisheries by modelling the behaviour of fishing fleets and their interactions with the environment. - Ecopath with Ecosim (EwE)
EwE is a well-known tool used worldwide to understand marine ecosystems by analysing the flow of energy and interactions between species, their environment, and human activities such as fishing - Value Chain
The value chain plug-in for the EwE software links what happens in the ocean to what happens in markets and society. It traces how fish and seafood move from the ecosystem through fishing, processing, and trade, eventually reaching consumers. Along the way, it accounts for costs, profits, employment, and social benefits, showing how ecological changes — like shifts in fish populations — ripple through economies and communities. This makes it a useful tool for balancing environmental health with human livelihoods. - MICE models
MICE (Models of Intermediate Complexity for Ecosystem assessments) ecosystem models offer a balanced approach to understanding ecological systems. They simplify complex ecological processes, such as predator-prey interactions and species competition, while still capturing the essential interactions needed to address specific research questions. MICE models aim to strike a balance between overly simple models that might miss important processes and highly detailed models that can be difficult to interpret and require a lot of data and computational power. - CMSY++
The CMSY++ Assessment Model is a vital tool used in SURIMI to evaluate the health of fish stocks and predict their future status, especially in situations where fisheries data are limited. Building on the concept of Maximum Sustainable Yield (MSY), which identifies the maximum amount of fish that can be caught without harming the stock’s ability to reproduce, CMSY++ provides a practical solution for assessing stock health with minimal data. It uses information like official catch or landing data and catch per unit effort (CPUE) from surveys to estimate stock status. - System Dynamics models
The System Dynamics Model that is being developed as part of SURIMI will be a powerful tool for exploring the socio-economic aspects of fisheries, especially in data-limited situations. By focusing on the essential dynamics of fishery systems, this model will simplify complex processes such as the balance between fish stock growth and harvesting rates, while still capturing critical interactions like the impact of market demand on fishing effort. Its primary goal will be to understand how different parts of the system, including ecological components like fish populations and socio-economic elements like fishing communities, are connected and how they change over time.
EII role
Software engineering, model interoperability, containerization, ecosystem modelling, value chain modelling, MICE model development