Degrees of compositional shift in tree communities vary along a gradient of temperature change rates over one decade: Application of an individual‐based temporal beta‐diversity concept

Abstract

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Individual-based multiple-unit dissimilarity: novel indices and null model for assessing temporal variability in community composition

“…Two types of dissimilarity indices have been proposed in previous studies: incidence-based and abundance-based dissimilarity indices (Baselga et al, 2013, Nakadai, 2020). Specifically, the widely used Bray–Curtis dissimilarity index (Bray & Curtis, 1957, which was originally proposed as a proportional difference index by Odum (1950), is an abundance-based extension of the Sørensen index (Legendre & Legendre, 1998, Baselga et al, 2013).…”

“…Temporal changes in community composition are referred to as “temporal beta-diversity” (Hatosy et al, 2013, Legendre & Gauthier, 2014, Shimadzu et al, 2015), which is simply an extension of spatial beta-diversity. Only a few studies have focused on methodological developments of temporal beta-diversity (Shimadzu et al, 2015, Legendre, 2019, Nakadai, 2020). The persistence and turnover of individuals over time is a key feature of temporal beta-diversity (Magurran et al, 2019, Nakadai, 2020).…”

“…The pairwise indices proposed by Nakadai (2020) are limited by the typical problems associated with the application of multiple-unit datasets; in particular, the presence of long-lived individuals resulted in underestimates of individual turnover when the average values of the pairwise indices were used. Extending individual-based indices to multiple-temporal datasets may allow accurate assessment of the temporal variability of community composition based on individual turnover.…”

“…This is referred to as “temporal beta-diversity”, and most approaches are simply an extension of spatial beta-diversity.The persistence and turnover of individuals over time is a unique feature of temporal beta-diversity. Nakadai (2020) introduced the “individual-based beta-diversity” concept, and provided novel indices to evaluate individual turnover and compositional shift by comparing individual turnover between two periods at a given site. However, the proposed individual-based indices are applicable only to pairwise dissimilarity, not to multiple-temporal (or more generally, multiple-unit) dissimilarity.Here, individual-based beta-diversity indices are extended to multiple-unit cases.To demonstrate the usage the properties of these indices compared to average pairwise measures, I applied them to a dataset for a permanent 50-ha forest dynamics plot on Barro Colorado Island in Panama.Information regarding “individuals” is generally missing from community ecology and biodiversity studies of temporal dynamics.…”

“…The persistence and turnover of individuals over time is a unique feature of temporal beta-diversity. Nakadai (2020) introduced the “individual-based beta-diversity” concept, and provided novel indices to evaluate individual turnover and compositional shift by comparing individual turnover between two periods at a given site. However, the proposed individual-based indices are applicable only to pairwise dissimilarity, not to multiple-temporal (or more generally, multiple-unit) dissimilarity.…”