Recently, I wrote an article now out on the Journal of Animal Ecology blog on the use of graphical network models to pick apart the microbiome. In essence, graphical models are a merger between probability theory and graph theory and are a valuable addition to community ecologist’s/microbial ecologists tool belt. In the article, we introduce these methods and give a behind the scenes take on our moose microbiome paper that utilises a spatially explicit graphical network model that Nick Clark developed.
Here is the link: https://animalecologyinfocus.com/2020/08/10/untangling-community-dynamics-using-spatially-explicit-bayesian-networks/
