Which randomizations detect convergence and divergence in trait‐based community assembly? A test of commonly used null models

104 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Dos and don'ts when inferring assembly rules from diversity patterns (2020, background): “…2012), between richness, regularity and divergence components (Raevel, Violle, & Munoz, 2012), and by varying the importance of species abundances (Chalmandrier et al., 2015; Götzenberger et al., 2016) and intraspecific variability (Chalmandrier, Münkemüller, et al., 2017; Pavoine & Izsak, 2014).”
Invaders among locals: Alien species decrease phylogenetic and functional diversity while increasing dissimilarity among native community members (2018, background): “Thus, only species able to grow in the particular habitat type were included in the random communities to focus on niche partitioning patterns and excluding effects of environmental filtering (de Bello et al., 2012; Götzenberger et al., 2016).”