Biodiversity Data Science.

We use machine learning and artificial inteligence tools to aid biodiversity conservation and management, in support of the UN 2030 Agenda for Sustainable Development.

Featured publications

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Climate change and the future diversity of seagrasses

Climate change challenges Marine Protected Areas in Europe

The key role of seaweed forests in global carbon sequestration

The benefits of the Paris Agreement to mitigate future changes of marine forests

A white paper that summarizes the importance of the Paris Agreement for safeguarding global marine biodiversity. It outlines the scientific basis for major climate change threats to critical marine forest species of kelp and seagrasses and assesses the potential of the Paris Agreement to address these threats.

Featured projects

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Marine Protected Areas Europe

MPA Europe will map the optimal locations for marine protected areas in European seas.

High-performance computing projects climate change impacts on biodiversity

Experiments will identify regions of extinction, persistence and ocean-accessible, climatic corridors for biodiversity.

Featured code

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Marine climate layers for ecological modelling

High-resolution marine data layers to model the distribution of species at global scales.

Downloading biodiversity records from iNaturalist

Automatically download biodiversity records from iNaturalist, the most recognised citizen science initiative.

Main partners

biodiversityDS.