Little evidence for limiting similarity in a long‐term study of a roadside plant community

By K. Thompson, Owen L. Petchey, A. Askew, N. Dunnett, A. Beckerman, A. Willis. 2010

98 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5f92bce370066c610926a4828bfe0447488f174b

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Community assembly along a soil depth gradient: contrasting patterns of plant trait convergence and divergence in a Mediterranean rangeland (2012, unknown): “…1998; Cornwell & Ackerly 2009), with different traits (Spasojevic & Suding 2011; Wilson & Stubbs 2012), different analysis frameworks (Sonnier, Shipley & Navas 2010; Pakeman, Lennon & Brooker 2011) or the use of presence-absence versus abundance data (Cingolani et al. 2007; Thompson et al. 2010).”
Inferring community assembly mechanisms from functional diversity patterns: the importance of multiple assembly processes (2012, background): “…decompose functional diversity into the components associated with each trait (e.g., Weiher, Clarke & Keddy 1998; Cornwell, Schwilk & Ackerly 2006; Thompson et al. 2010) or only focus on phylogenetic diversity (e.g., Cadotte, Hamilton & Murray 2009; Machac et al. 2011) suffer from integrating…”
Do plant traits retrieved from a database accurately predict on‐site measurements? (2013, background): “2011) has facilitated ecologists in using trait-based approaches on large vegetation data sets (Baker et al. 2004; Wright et al. 2004; Ozinga et al. 2005; ter Steege et al. 2006; Swenson et al. 2007; Schumacher & Roscher 2009; Thompson et al. 2010; Pakeman 2011).”
Consequences of the introduction of exotic and translocated species and future extirpations on the functional diversity of freshwater fish assemblages (2013, methodology): “We used a standardized measure of comparison between observed and expected, the standardized effect size index (SES), calculated as (observed FD - expected FD)/standard deviation of expected FD (Thompson et al., 2010; Mendez et al., 2012).”