Big data to protect marine biodiversity

Marine ecosystems are changing rapidly. Yet our ability to monitor biodiversity across vast and dynamic oceans remains limited. At Plymouth Marine Laboratory, we combine big data, artificial intelligence, and autonomous technologies to transform how marine biodiversity is observed, understood, and protected - delivering the evidence needed for effective ocean management and policy.

Our focus

Using AI and big data to understand, monitor and protect marine life at scale

The Challenge

The Ocean is changing at an unprecedented rate

Our oceans are under unprecedented pressure from climate change, pollution, and overexploitation. Yet our ability to track these changes remains scattered and inefficient.

The Problem

Ocean ecosystems are complex, connected, and constantly changing. Traditional monitoring methods:

  • Are often limited in scale and frequency

  • Struggle to capture real-time ecosystem change

  • Cannot fully represent biodiversity across regions and depths

Without robust, continuous data, it is difficult to:

  • Detect ecosystem change early

  • Design effective Marine Protected Areas (MPAs)

  • Measure the success of conservation actions

Our Ambition

PML is committed to transforming how we observe, understand, and protect ocean life, enabling science and society to detect change earlier, act faster, and manage ecosystems more effectively.

We’re transforming fragmented, reactive biodiversity monitoring into an integrated, automated, and trusted system that empowers protection and sustainable use of marine ecosystems.

The result?
Science and society can detect change earlier, respond faster, and manage marine ecosystems more effectively.

Our Approach

We deliver trusted biodiversity intelligence through three integrated solutions

The SmartSound buoy and AutoNaut

Autonomous & AI-Enabled Monitoring

Advanced imaging, acoustic sensors, and expert-validated AI, underpinned by long term high quality traditional methods, could deliver scalable, cost-effective ecosystem assessments.

Our research edges us closer to automating monitoring by comparing new with traditional methods, to maintain the rigour of trusted science.

Environmental DNA (eDNA) Analysis

Molecular methods reveal what's living in our oceans through water and sediment sampling.

We're developing standardised eDNA approaches and building confidence in genetic monitoring as a core biodiversity tool.

Biodiversity from Space

Earth observation and satellite data track ecosystem changes across scales, from local sites to global oceans.

We're proving remote sensing can reliably inform marine protection decisions.

1 of 3

Our Impact

From ocean data to ocean protection

Our work delivers real-world benefits for ocean protection and sustainability.

Policy
3 MPAs

Marine protected area designations in UK offshore waters directly informed by WCO long-term baseline data.

Western Channel Observatory

Early warning
72 hrs

Earlier detection of harmful algal bloom precursors vs conventional sampling, protecting aquaculture operations.

APICS project

Open data
140 + nations

Accessing PML-derived satellite biodiversity indicators via OBIS and GBIF global conservation portals.

External data products

BBC News
Wetter winter and warmer summer hit marine life

Coverage highlighting how long-term marine observations are helping scientists understand climate impacts on South West marine ecosystems.

Read BBC News article

Research Impact
Harnessing plankton research to inform next generation climate models

Research from the Western Channel Observatory is informing next-generation climate models through advances in plankton science.


Read PML News story

Imaging FlowCytobot (IFCB)
PML tests new plankton imaging tech – see the plankton photos it captured!

Our scientists took our new Imaging FlowCytobot down to the local Millbay Marina for a test of the equipment in real sea conditions.


Read PML News story

PML Highlights

See our science in action

Project

DEAL: DEcentrAlised Learning for automated image analysis and biodiversity monitoring

DEAL will create an application that allows owners of biological image data to participate in decentralised, collaborative networks, where they can leverage the data and expertise of all participants to obtain better, higher efficacy classification results for their data.

Explore project
Project

APICS

The Automated, in situ Plankton Imaging and Classification System (APICS) will radically improve the understanding of how environmental changes are affecting plankton, the microscopic organisms at the foundation of the marine food chain.

Explore project
Deep Vision Project
Project

Deep Vision: AI-enabled Mapping of Vulnerable Marine Ecosystems in the Atlantic

Co-led by Plymouth Marine Laboratory and the University of Plymouth, this project uses artificial intelligence and high-resolution seabed data to map vulnerable marine ecosystems across the Atlantic Basin. The resulting evidence supports the design of legal protections for deep-sea biodiversity, including on the high seas.

Explore project
Coral Cartography Project
Project

Coral Cartography: Mapping Atlantic Cold-Water Corals to support Area Based Management

Coral Cartography uses deep-sea imagery to map the distribution and density of cold-water corals across the Atlantic Ocean. By combining marine ecology, environmental data and AI-enabled analysis, the project delivers new evidence to support the protection and sustainable management of vulnerable deep-sea ecosystems.

Explore project
Project

Processes Influencing Carbon Cycling: Observations of the Lower limb of the Antarctic Overturning (PICCOLO)

The vast, remote seas which surround the continent of Antarctica are collectively known as the Southern Ocean. This region with its severe environment of mountainous seas, winter darkness, strong winds, freezing temperatures and ice is unsurprisingly one of the least explored and under-observed parts of the global ocean. However, because of these extremes, it plays a large and still unquantified…

Explore project
River
Project

C-BLUES: Carbon sequestration in BLUe EcoSystems

The C-BLUES project aims to significantly advance knowledge and understanding of blue carbon ecosystems (BCEs) – seagrasses, tidal marshes, mangroves and macroalgae – to reduce scientific uncertainty, improve reporting of blue carbon, and promote the role of blue carbon in delivering climate policy commitments.

Explore project

Scientific Leadership

Experts working in this area of research

Dr James Clark

Dr James Clark

Team members 1–6 of 26

Why PML?

Unmatched expertise and infrastructure

Our edge lies in unique integration: long-term ecological insight meets cutting-edge technology.

World-class observation

The Western Channel Observatory, one of the world's longest-running marine time series, provides gold-standard baselines for validating new technologies.

Cross-disciplinary excellence

We unite ecologists, molecular biologists, data scientists, and expert taxonomists with high-performance computing and big-data infrastructure (MAGEO).

Leadership in marine innovation

Through Smart Sound Plymouth and National Centre for Coastal Autonomy, we accelerate innovation from research to operational deployment.

Trusted science partner

As an independent, not-for-profit institute embedded in Plymouth's marine technology cluster, we deliver objective, data-driven insights alongside ESA, NASA, and NERC.

Who We Work With

Serving a diverse ecosystem of partners

We collaborate with governments, research organisations, industry, NGOs, and community partners to deliver impactful marine science and support sustainable ocean management.

Government Agencies
Conservation Organisations
Research Institutions
Blue Economy Sectors
International Initiatives

Get In Touch

Ready to transform Ocean monitoring?

Whether you are looking to develop monitoring programmes, access data and modelling expertise, inform policy, support environmental management, or advance innovation in the blue economy, we can help.


    Portfolio Lead

    Dr James Clark

    Dr James Clark

    Marine Ecosystem Modeller

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