About our team.

A team of young researchers working in biodiversity data science to provide knowledge to well-informed conservation and management, in line with the UN 2030 Agenda for Sustainable Development.

  • Main goals

Develop high quality biodiversity impact assessments under global change scenarios;

Identify priority conservation areas safeguarding biodiversity for future generations;

Understand the processes driving the global distribution of biodiversity, from genes to ecosystems;

Develop machine learning and artificial intelligence tools reducing uncertainty in biodiversity modelling;

Develop cloud-based tools to help citizens, managers and politicians visualize biodiversity patterns.

  • The rationale

Climate change, habitat degradation, overexploitation and biological invasions are threatening global biodiversity and ecosystem functioning through the loss of key species and altered energy flows. This can severely impact human’s health, wellbeing, and economic activities, and is leading to a growing sense that mankind has surpassed the thresholds of sustained life on Earth. This has been stressed by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, which showed that the current efforts to halt the biodiversity crisis are falling far short of international needs. In the context of global climate change, the Paris Agreement [UN Framework Convention on Climate Change] was outlined to provide a roadmap to limit global warming and accomplish the Sustainable Development Goals [UN 2030 Agenda for Sustainable Development]. This was supported by policy-relevant research quantifying biodiversity impacts under contrasting scenarios of greenhouse gas emissions and mitigation strategies [Intergovernmental Panel on Climate Change].

Biodiversity impact assessments still held low confidence and high uncertainty owing to shortage of predictive infrastructures providing accurate models and forecasts that can effectively guide conservation strategies and prioritize actions to safeguard threatened species and ecosystems. Additionally, current conservation efforts still respond to short-term threats, raising the need to start focusing on evidence-based, long-term proactive actions preventing biodiversity crises in the first place.

  • Permanent team members
Dr. Jorge Assis
Group leader
Dr. Lidiane Gouvea
Assistant researcher
Dr. Térence Legrand
Assistant researcher
Eliza Fragkopoulou
PhD student

  • Scientific advisory committee
Prof. Ester A. Serrão
Biodiversity
Prof. Mark John Costello
Conservation
Prof. Carlos Duarte
Ecosystems
Dr. Miguel Araújo
Modelling
  • Students [PhD and MSc]
Amy Mackintosh
PhD student
Griffin Hill
PhD student
Pelayo Alvarez
PhD student
Zhiyuan Shi
PhD student
Ariadni Vafeiadou
MSc student
Núria Suárez
MSc student
Lara Martins
MSc student
Viktória Balogh
MSc student
  • Featured projects
Paris Agreement and the redistribution of biodiversity

A project aiming to answer the central question of what will be the consequences of future climate changes to global marine biodiversity.

Bio-ORACLE, data layers for distribution modelling

Bio-ORACLE is a project aimed to provide high-resolution geophysical, biotic and environmental data for distribution modelling.

biodiversityDS.

Jorge Assis [PhD, Research Assistant]
Centre of Marine Sciences, University of Algarve [Faro, Portugal]
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