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Automated biodiversity research critically requires multidisciplinary expertise

Pedro Cardoso1, Vasco Branco2, Luís Correia3

  • 1CE3C - 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.

Trends in Ecology & Evolution
|May 27, 2025
PubMed
Summary

Data-driven computational methods are transforming taxonomy, ecology, and conservation biology. Effective automation relies on expert validation, critical data assessment, and interdisciplinary teamwork.

Keywords:
biodiversity monitoringdata scienceecologymachine learningmetabarcodingtaxonomy

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