Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
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CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
Crispin M. Mutshinda, Andrew J. Irwin, Mikko J. Sillanpää (2020), A Bayesian Framework for Robust Quantitative Trait Locus Mapping and Outlier Detection, The International Journal of Biostatistics, doi: 10.1515/ijb-2019-0038
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C. Mutshinda, C. Widdicombe, Z.V. Finkel, A.J. Irwin (2019), Bayesian inference to partition determinants of community dynamics from observational time series, Community Ecology, doi: 10.1556/168.2019.20.3.4
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In December, several from CBIOMES traveled to London, England, to present their work at CMStatistics2019, a conference organized by the European Research Consortium for Informatics (ERCIM) Working Group on Computational and Methodological Statistics (CMStatistics) and Birkbeck University of London. Continue reading “CBIOMES at CMStatistics2019”
Look out for members of the CBIOMES team, sharing their work at this year’s Ocean Sciences conference taking place February 16-21 in San Diego, California. Continue reading “CBIOMES Goes to Ocean Sciences 2020”
Catherine Fiset, Andrew J. Irwin, Zoe V. Finkel (2019), The macromolecular composition of non‐calcified marine macroalgae, Journal of Phycology, doi: 10.1111/jpy.12913
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Story by Helen Hill | CBIOMES News
The Redfield ratio, the atomic ratio of carbon, nitrogen, and phosphorus (C:N:P) in phytoplankton and deep ocean waters, has often been treated as a constant 106:16:1. A new paper involving several CBIOMES co-authors presents compelling evidence for what causes this ratio to change within phytoplankton. Continue reading “When Phytoplankton Go Hungry”
Greg Britten from the MIT CBIOMES Group travels to Dalhousie University in Halifax, Canada
Continue reading “Lab Notes: Britten visits Dalhousie”
by Helen Hill for CBIOMES
CBIOMES researchers in the Dalhousie Group looking at changes in phytoplankton biogeography in response to changing climate find mean phytoplankton niches closely tracked changes in mean temperature, while the mean salinity and mixed layer depth realized niches were consistently at the extreme range of available conditions at a study site near Sydney Australia. Continue reading “Phytoplankton Realized Niches Track Changing Oceanic Conditions at a Long-Term Coastal Station off Sydney Australia”