Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
Rosie M. Sheward, Justin D. Liefer, Andrew J. Irwin, Zoe Finkel (2023), Elemental stoichiometry of the key calcifying marine phytoplankton Emiliania huxleyi under ocean climate change: A meta-analysis, Global Change Biology, doi: 10.1111/gcb.16807
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A new CBIOMES paper has important implications for our understanding of how plankton populations will change in a warming ocean – suggests caution when using statistical models to predict changes in plankton abundance. Continue reading “Prochlorococcus in a Changing Climate”
Niall McGinty, Andrew J. Irwin, Zoe V. Finkel and Stephanie Dutkiewicz (2023), Using ecological partitions to assess zooplankton biogeography and seasonality, Front. Mar. Res., doi: 10.3389/fmars.2023.989770
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Keisuke Inomura, Juan José Pierella Karlusich, Stephanie Dutkiewicz, Curtis Deutsch, Paul J. Harrison, Chris Bowler (2023), High Growth Rate of Diatoms Explained by Reduced Carbon Requirement and Low Energy Cost of Silica Deposition, Microbiology Spectrum, doi: 10.1128/spectrum.03311-22
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Vincent Bian, Merrick Cai, Christopher Follett (2023), Understanding Opposing Predictions of Prochlorococcus in a Changing Climate, Nature Communications, doi: 10.1038/s41467-023-36928-9
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Maria A. Soto, Dhwani Desai, Catherine Bannon, Julie LaRoche, Erin M. Bertrand (2023), Cobalamin producers and prokaryotic consumers in the Northwest Atlantic, Environmental Microbiology, doi: 10.1111/1462-2920.16363
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Krinos, A., N. Cohen, M.J. Follows and H. Alexander (2023), Reverse engineering environmental meta-transcriptomes clarifies best practices for eukaryotic assembly, BMC Bioinformatics, doi: 10.1186/s12859-022-05121-y
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Crispin M. Mutshinda, Aditya Mishra, Zoe V. Finkel and Andrew J. Irwin (2023), Density regulation amplifies environmentally induced population fluctuations, PeerJ, doi: 10.7717/peerj.14701
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Yuxuan Du, Jed A. Fuhrman & Fengzhu Sun (2023), ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data, Nature Communications, doi: 10.1038/s41467-023-35945-y
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A new paper from the PML Group and collaborators uses a moving standard deviation saturation approach to reveal dominant timescales of variability in global satellite data.
Continue reading “Capturing High Spatial and Temporal Variability in Phytoplankton Biomass from Space”