Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
Researchers combine experiments and computational models to reveal how phytoplankton and bacteria cooperate—and compete—to shape global carbon and nitrogen cycles. Continue reading “Microbial Give-and-Take: Modeling the Hidden Rules of Ocean Life”
Osnat Weissberg, Dikla Aharonovich, Zhen Wu, Michael J. Follows & Daniel Sher (2025), Models and co-culture experiments assess four mechanisms of phytoplankton bacteria interactions, Nature Microbiology, doi: 10.1038/s41564-025-02196-0
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Up to one-third of the carbon consumed by Prochlorococcus may come from sources other than photosynthesis.
Continue reading “Ocean microbes get their diet through a surprising mix of sources, study finds”
Zhen Wu, Jincheng Li, Yanxin Sun, Josep Peñuelas, Jilin Huang, Jordi Sardans, Qingsong Jiang, Jacques C. Finlay, Gregory L. Britten, Michael J. Follows, Wei Gao, Boqiang Qin, Jinren Ni, Shouliang Huo & Yong Liu (2022), Imbalance of global nutrient cycles exacerbated by the greater retention of phosphorus over nitrogen in lakes, Nature Geosciences, doi: 10.1038/s41561-022-00958-7
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A multi-lab collaboration that grew out of the January 2020 Bayesian Workshop finds using the Bayesian approach can yield more realistic biological models and better constrained cellular growth rates. Continue reading “Interpreting microbial growth rates from size distributions.”
CBIOMES researchers Zhen Wu and Gael Forget apply Julia to create a GPU-supported individual-based phytoplankton life cycle model.
Continue reading “A Super-Speedy New Phytoplankton Model”
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Jann Paul Mattern, Kristof Glauninger, Gregory L. Britten, John R. Casey, Sangwon Hyun, Zhen Wu, E. Virginia Armbrust, Zaid Harchaoui, Francois Ribalet (2022), A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series, PLoS Computational Biology, doi: 10.1371/journal.pcbi.1009733
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