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Differences in the null model outcomes among guilds as revealed by the combinations of algorithms IT (rc) and IA (aa) and three indices (AAST, CAST, and MA). The results of the Bayesian GLMMs are summarized as differences in deviance information criteria of each model and the associated null model (ΔDIC). Significantly different patterns among guilds are designated with asterisks. Circle sizes are proportional to the number of outcomes in each category
