Dr. Rene Plonus

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Research Interests
My interest is focused on developing machine learning approaches applicable to marine sciences. Specifically, I’m working on a fully automatic classification of fish species from underwater imagery to aid a non-invasive fishery management and monitoring.
Publications
Bettina Martin, Rolf Koppelmann, André Harmer, Rene-Marcel Plonus. “Possible transport pathway of diazotrophic Trichodesmium by Agulhas Leakage from the Indian into the Atlantic Ocean”. Scientific Reports, 14(1), p. 2906 14(1), p. 2906. (2024) https://www.nature.com/articles/s41598-024-53297-5
Rene-Marcel Plonus, Jens Floeter. “Identification of plankton habitats in the North Sea”. Ecology and Evolution 14, e70342. (2024) https://onlinelibrary.wiley.com/doi/10.1002/ece3.70342
Rene-Marcel Plonus, Jens Floeter. “Is analysis of otolith microstructure a valid method for investigating early life history of western baltic cod?”. Marine Biology 168(3), p. 30.. (2021) doi: 10.1007/s00227-021-03834-x
Rene‐Marcel Plonus, Jan Conradt, André Harmer, Silke Janßen, Jens Floeter. “Automatic plankton image classification—Can capsules and filters help cope with data set shift?”. Limnology and Oceanography: Methods (2021) https://doi.org/10.1002/lom3.10413
Rene‐Marcel Plonus, Stefanie Vogl , Jens Floeter. “Automatic segregation of pelagic habitats”. Frontiers in Marine Science (2021) https://www.frontiersin.org/articles/10.3389/fmars.2021.754375/abstract
Educational Background
2023 Promotion: Fishery Science
“Multi-dimensional characterization of pelagic habitats at different spatio-temporal scales”
2018 M.Sc. Ecosystem and Fisheries Science
Thesis: “Comparison of growth patterns of two extreme year classes of age 0 cod (Gadus morhua L.) from the western Baltic using otolith microstructure”
2017 European Scientific Diver certified by Kommission Forschungstauchen Deutschland (KFT)
2015 B.Sc. Biology
Thesis: “Early life history of North Sea plaice (Pleuronectes platessa) based on otolith analysis”
Current Projects
Nikofin is about non-invasive monitoring of non-commercial fish species in the North Sea. Specifically, we will use Baited Remote Underwater Videos (BRUVs) and environmental DNA (eDNA) to establish a biodiversity monitoring for fish species at the Sylt Outer Reef.