Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
Bror F. Jönsson, Joseph Salisbury, Elizabeth C. Atwood, Shubha Sathyendranath, Amala Mahadevan (2023), Dominant timescales of variability in global satellite chlorophyll and SST revealed with a MOving Standard deviation Saturation (MOSS) approach, Science Direct, doi: 10.1016/j.rse.2022.113404
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Archibald, K., C. Laufkotter, S. Dutkiewicz, H. Moeller (2022), Thermal responses in global marine planktonic food webs mediated through temperature effects on metabolism, JGR Oceans, doi: 10.1029/2022JC018932
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Keisuke Inomura, Curtis Deutsch, Oliver Jahn, Stephanie Dutkiewicz and Michael J. Follows (2022), Global patterns in marine organic matter stoichiometry driven by phytoplankton ecophysiology, Nature Geoscience, doi: 10.1038/s41561-022-01066-2
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Ying-Yu Hu, Andrew Irwin, Zoe Finkel (2022), Improving Quantification of Particulate Phosphorus, Limnology and Oceanography: Methods, doi: 10.1002/lom3.10517
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Žarko Kovač and Shubha Sathyendranath (2022), Fragility of Marine Photosynthesis, Front. Mar. Sci., doi: 10.3389/fmars.2022.963395
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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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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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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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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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JL Weissman, Shengwei Hou and Jed Fuhrman (2022), Using DNA to predict how fast bacteria can grow, Frontiers for Young Minds, doi: 10.3389. frym.2022.714713
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