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Dr. Coline Royaux

Dr. Coline Royaux

address: Campus Maulbeerallee
University of Potsdam
Ecology/Macroecology
Maulbeerallee 3, building 3, room 0.01
14469 Potsdam

Research interests

My research focuses on studying the processes underlying the distribution of biological diversity from genes to communities in relation to biotic, abiotic and anthropogenic factors. I primarily work on freshwaters and planktonic crustaceans but I enjoy working on biodiveristy at large. I usually work with interdisciplinary approaches combining computational sciences, ecology and organisms biology. I am also interested in investigating solutions to the challenges faced by the ecological sciences community regarding open science and the pereniallity of knowledge.
Dispersion is a major challenge for water-obligate species inhabiting lentic freshwaters (i.e., lakes, ponds, puddles) as it requires to cross a hostile dry environment. My current post-doctoral position aims at studying the inter- and tele-couplings between freshwater zooplankton and the animals responsible for their dispersal (e.g., terrestrial mammals, birds) using barcoding and movement data.


Main areas of interest

  • Diversity distribution from the gene to the community
  • Dispersion dynamics and strategies
  • Interdisciplinary methods
  • Open science, knowledge pereniallity

Project

Individual-based ecology

Links

ResearchGate

ORCID

Google Scholar

 

Dr. Coline Royaux

Dr. Coline Royaux

address: Campus Maulbeerallee
University of Potsdam
Ecology/Macroecology
Maulbeerallee 3, building 3, room 0.01
14469 Potsdam

Academic career

since 2025 PostDoc researcher, Universität Potsdam
2021-2024 Sorbonne Université, PhD student in Population biology & Ecology
2020-2021 Scientific computation ingeneer supporting research, Pole National de Données de Biodiversité, Muséum National d'Histoire Naturelle
2015-2020 Sorbonne Université, Bachelor's degree in Biological sciences & Master's degree in Biodiversity, Ecology, Evolution


Publications

Royaux C, Mihoub JB, Jossé M, et al. 2025. Guidance framework to apply best practices in ecological data analysis: lessons learned from building Galaxy-Ecology. GigaScience. https://doi.org/10.1093/gigascience/giae122
Royaux C, Charpin N, Mary N, Busson F, Bonillo C, & Rabet N. 2025. Remarkable genetic and specific diversification in Boeckella (Copepoda: Calanoida) from New Caledonia suggests strong micro-endemism. Biological Journal of the Linnean Society. https://doi.org/10.1093/biolinnean/blaf054
Royaux C, Charpin N, & Rabet N. 2024. Genetic variability of New Caledonian Boeckella de Guerne & Richard, 1889 (Copepoda: Calanoida), with the description of a new species. Journal of Crustacean Biology. https://doi.org/10.1093/jcbiol/ruae001 - Open archive [https://hal.science/hal-04681440]
Abueg LAL, Afgan E, Allart O, et al. 2024. The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update. Nucleic Acids Research. https://doi.org/10.1093/nar/gkae410
Hiltemann S, Rasche H, Gladman S, et al. 2022. Galaxy Training: A Powerful Framework for Teaching! PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010752