Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
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Niall McGinty, Andrew D Barton, Nicholas R Record, Zoe V Finkel, David G Johns, Charles A Stock, Andrew J Irwin (2020), Anthropogenic climate change impacts on copepod trait biogeography, Global Change Biology, doi: 10.1111/gcb.15499
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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”
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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A.W. Omta, D. Talmy, K. Inomura, A.J. Irwin, Z.V. Finkel, D. Sher, and M.J. Follows (2020), Quantifying nutrient throughput and DOM production by algae in continuous culture, Journal of Theoretical Biology, doi: 10.1016/j.
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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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