Biodiversity Data Science.

We are a team of young researchers using Data Science tools to aid biodiversity conservation and management, in support of the UN 2030 Agenda for Sustainable Development.

  • Featured publications

Heatwaves are more intense and persist longer in deeper waters

Global analysis shows deep marine biodiversity facing higher risk of exposure to the cumulative effect of intense and prolonged heatwave events.

Oceanographic connectivity explains the intra-specific diversity of mangrove forests

The crucial role of ocean currents in shaping mangrove genetic diversity, challenging previous assumptions and emphasizing the importance of preserving these ecosystems.

Artificial intelligence maps giant kelp forests from satellite imagery

Automated kelp canopy detection from satellite data for improved long-term ecological monitoring and conservation efforts.

  • Main partners
  • Featured projects
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
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.

biodiversityDS.

Jorge Assis [PhD, Associate Researcher]
Centre of Marine Sciences, University of Algarve [Faro, Portugal]
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