A new mathematical model developed at the University of British Columbia integrates environmental and molecular sequence information to better explain how microbial networks drive nutrient and energy cycling in marine ecosystems.
The work could dramatically improve researchers’ and policy makers’ ability to predict how the world’s marine microbial communities (microbiome) respond to climate change, and resulting impacts on fisheries, biodiversity, climate and more.
The model and associated simulations were published this week in the Proceedings of the National Academy of Sciences.