Crispin M. Mutshinda, Aditya Mishra, Zoe V. Finkel, Claire E. Widdicombe & Andrew J. Irwin (2022), Bayesian two-part modeling of phytoplankton biomass and occurrence, Hydrobiologia, doi: 10.1007/s10750-021-04789-2
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Density regulation amplifies environmentally induced population variability – Crispin Mutshinda (Dal – Irwin)
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The Irwin Group goes to Annual Meeting 2021
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2021 Annual Meeting microtalk: Characterizing spatiotemporal fluctuations of the diatom to dinoflagellate biomass ratio in the North Atlantic Ocean – Crispin Mutshinda (Dal)
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Using a two-part model to decouple the abiotic controls of phytoplankton occurrence and abundance from semi-continuous survey data – Crispin Mutshinda (Dal)
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Turning to Traits to Understand Phytoplankton Biomass Patterns
The Irwin Group uses statistical modeling techniques to understand niches, traits, and interactions within marine microbial communities. A new paper confirms the value of trait-based approaches in investigating the mechanisms underlying phytoplankton biomass dynamics, and in predicting the community response to environmental changes. Continue reading “Turning to Traits to Understand Phytoplankton Biomass Patterns”
NEW CBIOMES PUBLICATION
Mutshinda. C.M., Finkel, Z.V., Widdicombe, C.E. & Irwin, A.J. (2020), A trait-based taxonomy for phytoplankton biomass modeling and prediction, Diversity, doi: 10.3390/d12080295
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2020 Annual Meeting e-poster: A Trait-based Clustering for Phytoplankton Biomass Modeling and Prediction – Crispin Mutshinda (Dal)
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May 2020 CBIOMES e-meeting – Crispin Mutshinda (Dal)
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NEW CBIOMES PUBLICATION
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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