معرفی
Frederic Maps serves as a Full Professor in the Department of Biology at Université Laval, Québec, Canada, where he leads research in marine ecosystem modeling with emphasis on Arctic systems. His work is conducted through the Numerical Ecosystem and Oceanography (NEOLab) laboratory, and he holds leadership roles including Co-director of the FRQNT Québec Océan strategic network and membership in the Institut Nordique du Québec.
- Post-doctorate fellow, University of Maine (2009-2012)
- Ph.D. in Oceanography, Université du Québec à Rimouski (2004-2009)
- M.Sc. in Oceanography, Université du Québec à Rimouski (2000-2003)
Maps' research centers on marine plankton responses to environmental variability across scales, using numerical modeling approaches including individual-based models, trophic network modeling, and coupled 3D bio-physical systems. He pioneers trait-based plankton ecology informed by in situ optical measurements of morphological properties, with specific focus on Arctic ecosystems. His methodology integrates machine learning for analyzing plankton imagery and lipid content estimation.
Analysis of his 15 most recent publications (2021-2024) reveals consistent focus on Arctic marine systems, particularly Hudson Bay and Baffin Bay. Key themes include copepod life history strategies, phytoplankton bloom dynamics, zooplankton community seasonality, and trait-based ecological modeling. His work increasingly incorporates machine learning for image analysis while maintaining strong physical-biological coupling in numerical frameworks.
Maps actively contributes to major collaborative projects including the BaySys initiative and Québec Océan network, though no individual scientific awards are documented in the provided materials.
As Principal Investigator of NEOLab, Maps supervises research on marine ecosystem modeling with emphasis on Arctic plankton dynamics. His team develops innovative approaches connecting in situ observations with numerical simulations to address climate change impacts on polar marine systems.
