Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
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.”
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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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According to CBIOMES researchers predator interactions chiefly determine where Prochlorococcus thrive – a finding that may help researchers hone predictions for where phytoplankton will migrate with climate change. Continue reading “Plankton’s Place”
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