“…Computational methods have been developed to analyze community data efficiently; these include predictive models [17], multivariate statistical methods [18], statistical learning models [19,20], and species abundance models [21]. Many studies have performed multivariate analyses on freshwater benthic community data to assess water quality [18,22], spatial and temporal dynamics [23,24], trait patterns [25], and community response to disturbance [18,26]. A rank abundance diagram (RAD), a type of species abundance model, has been applied to community data to elucidate alterations in community structure resulting from environmental change [27].…”