Automated biodiversity research critically requires multidisciplinary expertise.

Journal: Trends in ecology & evolution
Published Date: May 26, 2025

Abstract

Data-driven computational methods in taxonomy, ecology, and conservation biology are revolutionising these disciplines, from data collection to analysis and interpretation. However, effective automation requires both critical thinking about the limitations of the data and methods, and thorough training and validation by experts, supported by strong interdisciplinary collaboration.

Authors

  • Pedro Cardoso
    Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal.
  • Vasco Branco
    CE3C - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Institute for Global Changes and Sustainability, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal; Finnish Museum of Natural History Luomus, University of Helsinki, Helsinki, 00100, Finland; Dept. Informática & LASIGE, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
  • Luis Correia
    Escola Bahiana de Medicina e Saúde Pública, Salvador, BA - Brasil.
  • Brent C Emerson
    Institute of Natural Products and Agrobiology (IPNA-CSIC), Island Ecology and Evolution Research Group, 38206 La Laguna, Tenerife, Canary Islands, Spain.
  • Veronika N Laine
    Finnish Museum of Natural History Luomus, University of Helsinki, Helsinki, 00100, Finland.
  • Manuel Lopes
    INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.

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