“…Plant communities were identified following the standardized quantitative classification methods adopted by the Queensland government and outlined by Addicott et al (2018) and Neldner et al (2019). This was a four‐step process involving: (i) excluding species with <1% contribution to total foliage cover in any plot (Addicott, Newton, et al, 2018), resulting in 42 species in the analysis; (ii) recognizing differences in structural formation by multiplying %PFC of each species by vegetation layer height to form species importance values for each plot (Addicott, Laurance, Lyons, Butler, & Neldner, 2018); (iii) forming clusters with these species importance values from a similarity matrix (Bray–Curtis dissimilarity coefficient on square‐root transformed data) then agglomerative hierarchical clustering with unweighted pair group mean average; and (iv) determining the cluster division level to form plant communities using a combination of three evaluators: (i) SIMPROF (Clarke, Somerfield, & Gorley, 2008); (ii) Indicator Species Analysis (Dufrêne & Legendre, 1997) in the ‘labdsv’ R package (Roberts, 2013); and (iii) the ability of the classification to predict foliage cover distribution. This last method used generalized linear models in a multivariate framework (M. Lyons, 2017; Lyons, Keith, Warton, Somerville, & Kingsford, 2016).…”