Fig. 6

Co-occurrence networks demonstrate divergent community structures between HC and SF. Network inference was built upon 1000 bootstrap iterations of Pearson correlation coefficients from CLR-transformed taxonomic and functional pathway counts. A Nodes represent individual taxonomic bins, and clusters are labelled with corresponding species; the fifty nodes with the highest degree are displayed. B Nodes represent functional pathways; the eighty nodes with the highest degree are displayed. Nodes are coloured by clusters and sized by their CLR-transformed abundance, with nodes in bold representing hubs. Numbers within hubs correspond to the common functional pathways of interest. Edges with positive estimated interactions are coloured in green, and negative estimated interactions are coloured in red; percentage of edge positivity is displayed in the inset bar chart. CC = clustering coefficient, Mod = modularity, PathL = average path length