May 4, 2026

New report shows how ocean models are transforming our understanding of marine ecosystems

What’s new? A more connected view of the ocean

Traditionally, ocean models have focused on specific parts of the ecosystem in isolation. NECCTON moves beyond this by combining them, allowing scientists to better understand how changes in one part of the system affect another.

This includes new information on:

  • Marine species such as fish and plankton
  • Conditions on the seabed
  • Pressures such as plastics, chemicals, and climate stress

Many of these new outputs have now been tested against real-world observations and shown to provide reliable insights in different regions.

What can it offer?

For scientists, the system provides a richer evidence base for studying ecosystems, testing scenarios, and exploring how marine life responds to environmental change.

For policy and decision-makers, it offers practical tools to support:

  • Fisheries management
  • Pollution monitoring
  • Marine conservation planning
  • Climate adaptation strategies

In particular, new indicators — such as fish biomass, seabed oxygen levels, and climate stress indices — can help translate complex science into usable information.

Moving the state of the art forward

This work represents a significant step forward in how marine ecosystems are modelled. It expands what can be measured and predicted, including areas that were previously difficult to assess, such as seabed conditions and the combined effects of multiple stressors.

It also highlights an important challenge: the need for more observational data to improve and validate models, particularly for less well-studied parts of the ocean.

Why it matters

Oceans are under growing pressure from climate change, pollution, and human activity. Having better tools to understand these changes is essential for protecting marine ecosystems and the services they provide.

By bringing together data on physics, biology, and human pressures, this work helps move towards a more complete, system-wide view of the ocean — supporting better decisions for the future of our seas.

Read the full report here

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NEWS AND PROJECT UPDATES

May 4, 2026|News

New report shows how ocean models are transforming our understanding of marine ecosystems

A new report from NECCTON researchers highlights major advances in how we can track and understand life in our oceans — from microscopic plankton to commercially important fish and even pollution such as plastics and mercury. By bringing together a wide range of scientific models into a single, integrated system, the research offers a more complete picture of how marine ecosystems function and...

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March 12, 2026|News

NECCTON Launches Advanced Ocean Viewer, Bringing Europe’s Next-Generation Marine Ecosystem Data to the World

The NECCTON project has reached a major milestone with the public release of the NECCTON Ocean Viewer, an open, interactive web platform designed to transform how users explore, understand, and apply cutting edge marine ecosystem information. Now live at https://data.neccton.eu , the viewer delivers unprecedented access to a rapidly expanding catalogue of harmonised, cloud optimised datasets that ...

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March 3, 2026|Project Update

NECCTON Highlights Ecosystem Forecasting Developments at European Ocean Days

NECCTON Presented at European Ocean Days: Supporting Ecosystem Forecasting for EU Marine Policy During the Marine Knowledge for Ocean Health session at European Ocean Days, the coordinator of the NECCTON project outlined how Europe is developing the capacity to produce operational marine ecosystem forecasts and why this capability is increasingly relevant for policy and management....

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February 27, 2026|Project Update

NECCTON Co-Organises Marine Ecosystem Modelling Session at OSM26

At the Ocean Sciences Meeting 2026 in Glasgow (22–27 February 2026), NECCTON co-organised the session “Advancing Marine Ecosystem Modeling for a Predictable and Sustainable Ocean” together with OceanPredict’s Marine Ecosystem Analysis and Prediction Task Team. ...

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