2018
DOI: 10.1016/j.ecolind.2018.08.039
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Functional diversity assessment in riparian forests – Multiple approaches and trends: A review

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Cited by 36 publications
(26 citation statements)
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“…As several approaches are used in the literature to assess functional redundancy (Lozanovska et al 2018), we carried out two different types of analyses. First, it was assessed with the 'SYNCSA' package as the difference between species diversity and Rao's quadratic entropy based on their functional dissimilarity (de Bello et al 2007, Debastiani andPillar 2012), for each basin separately and for the entire dataset.…”
Section: Discussionmentioning
confidence: 99%
“…As several approaches are used in the literature to assess functional redundancy (Lozanovska et al 2018), we carried out two different types of analyses. First, it was assessed with the 'SYNCSA' package as the difference between species diversity and Rao's quadratic entropy based on their functional dissimilarity (de Bello et al 2007, Debastiani andPillar 2012), for each basin separately and for the entire dataset.…”
Section: Discussionmentioning
confidence: 99%
“…The selection of functional indexes considerably affects the interpretation of the functional responses of ecosystems following disturbance. However, no consensus has been reached regarding the most appropriate index (Lozanovska et al., 2018). In the present study, the reduction in the number of guilds and FRic suggested that some functional traits were lost.…”
Section: Discussionmentioning
confidence: 99%
“…We determined guild abundance in each site by the summed abundance of species belonging to a guild recorded in each site and compared abundance between UFRZ and NFRZ using the Wilcoxon rank‐sum test ( n = 12). We used functional richness (FRic) and functional dispersion (FDis; see Kuebbing, Maynard, & Bradford, 2018), both of which are the most frequently applied in cases of flow regulation, land use, and species invasions (Lozanovska et al., 2018), to reflect functional diversity changes in UFRZ and NFRZ. A generalised linear model (GLM) and Student t ‐test were applied, respectively, to compare the FRic and FDis between UFRZ and NFRZ ( n = 12).…”
Section: Methodsmentioning
confidence: 99%
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“…Although expensive and a research-intensive alternative, detailed information on resource use provides more reliable niche dimensions, allowing the comprehension of niche-based processes that drive assemblages' structure (Gonçalves-Souza et al, 2014;Passos et al, 2016). Moreover, hard traits, such as diet composition, have been shown as good predictors of the ecological performance of species, showing fine-scale aspects of habitat selection, physiological response to environmental conditions and shifts in behavior (Violle et al, 2007;Lozanovska et al, 2018).…”
Section: Trait Resolution and Its Impact On Functional Analysismentioning
confidence: 99%