A warm welcome to postdoc Shlomit Sharoni who recently joined the Follows Group.
CBIOMES Welcomes Shlomit Sharoni
New model sheds light on day/night cycle in the global ocean
Computer models of global ocean biogeochemistry typically don’t include the day/night light cycle. CBIOMES researchers are. Continue reading “New model sheds light on day/night cycle in the global ocean”
NEW CBIOMES PUBLICATION
Térence Legrand, Anne Chenuil, Enrico Ser-Giacomi, Sophie Arnaud-Haond, Nicolas Bierne & Vincent Rossi (2022), Spatial coalescent connectivity through multi-generation dispersal modelling predicts gene flow across marine phyla, Nature Communications, doi: 10.1038/s41467-022-33499-z
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NEW CBIOMES PUBLICATION
Ophélie Da Silva, Sakina-Dorothée Ayata, Enrico Ser-Giacomi, Jade Leconte, Eric Pelletier, Cécile Fauvelot, Mohammed-Amin Madoui, Lionel Guidi, Fabien Lombard, Lucie Bittner (2022), Genomic differentiation of three pico-phytoplankton species in the Mediterranean Sea, Environmental Microbiology, doi: 10.1111/1462-2920.16171
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NEW CBIOMES PUBLICATION
Alberto Baudena, Enrico Ser-Giacomi, Isabel Jalón-Rojas, François Galgani and Maria Luiza Pedrotti (2022), The streaming of plastic in the Mediterranean Sea, Nature Communications, doi: 10.1038/s41467-022-30572-5
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NEW CBIOMES PUBLICATION
Colomban de Vargas et al (2022), Plankton Planet: A frugal, cooperative measure of aquatic life at the planetary scale, Front. Mar. Sci., doi: 10.3389/fmars.2022.936972 [Michael. J. Follows]
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NEW CBIOMES PUBLICATION
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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Interpreting microbial growth rates from size distributions.
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.”
A Super-Speedy New Phytoplankton Model
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”
May 2022 CBIOMES e-meeting Jonathan Lauderdale (MIT)
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