Intraspecific variability and trait‐based community assembly

By V. Jung, C. Violle, Cédric P. Mondy, Lucien Hoffmann, S. Muller. 2010

634 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/bdb70282a66391c287fdbe93e111a53ba532c15e

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Single‐trait functional indices outperform multi‐trait indices in linking environmental gradients and ecosystem services in a complex landscape (2013, background): “…with species turnover, environmental variation can modulate trait–ES relationships (Pakeman 2011), drive intraspecific plasticity or genetic variation in traits (Jung et al. 2010) and interact with other environmental variables (Laliberté & Tylianakis 2012) to determine trait–ES relationships.”
Soil resource availability shapes community trait structure in a species‐rich dipterocarp forest (2012, methodology): “We used onlymean species trait values; however, incorporation of intraspecific variation improves statistical power for the detection of non-random trait patterns (Jung et al. 2010).”
Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories (2015, background): “SLA has also been noted to vary considerably within species in response to local changes in climate and abiotic conditions (Cornwell and Ackerly, 2009; Jung et al., 2010; Shipley, 2000; Sides et al., 2014).”
A global meta-analysis of the relative extent of intraspecific trait variation in plant communities. (2015, positive): “Recent studies have found that consideration of ITV improves the ability of trait-based analyses to make inferences about local community assembly processes (Jung et al. 2010; Paine et al. 2011; Siefert 2012a).”
Interspecific integration of trait dimensions at local scales: the plant phenotype as an integrated network (2017, neutral): “The trait-based approach has been widely adopted in community ecology, with single traits measured at local scales commonly interpreted in the context of trait dimensions (e.g. Jung et al. 2010; Falster et al. 2011; Long et al. 2011; Hulshof et al. 2013; Niu et al. 2015).”
The reciprocal relationship between competition and intraspecific trait variation (2016, background): “Despite variation in mean trait values, there is often considerable overlap among species when trait ranges are taken into account, resulting in strong effects of intraspecific variation on trait-based community analyses (Albert et al. 2010; Jung et al. 2010; Le Bagousse-Pinguet et al. 2014; Carmona”
Intraspecific trait variability mediates the response of subalpine grassland communities to extreme drought events (2014, background): “However, recent studies have started to shed some light on the importance of intraspecific variability for community functional responses to environmental changes (Jung et al. 2010; Albert et al. 2012; Andersen et al. 2012; Violle et al. 2012).”
Branching out: Towards a trait-based understanding of fungal ecology (2015, background): “Methods have been proposed to incorporate intraspecific variability when measuring functional diversity (de Bello et al., 2011) and community ecology studies incorporate intraspecific variability to better understand community assembly (e.g. Jung et al., 2010).”
Species‐ and community‐level patterns in fine root traits along a 120 000‐year soil chronosequence in temperate rain forest (2011, background): “…on above-ground components such as leaves, and the traits associated with photosynthetic capacity (e.g. Reich, Walters & Ellsworth 1997; Richardson et al. 2005; Jung et al. 2010) rather than more logistically difficult below-ground tissues (but see Comas & Eissenstat 2004; Freschet et al. 2010).”
Community assembly along a soil depth gradient: contrasting patterns of plant trait convergence and divergence in a Mediterranean rangeland (2012, positive): “This standardization of effects was preferred to the often-used Standardized Effect Size (SES; e.g. Swenson & Enquist 2009; Kraft & Ackerly 2010; Jung et al. 2010), which is expressed in units of standard deviations from the mean, due to the asymmetrical or otherwise non-normal shape of most null di”
Functional and phylogenetic assembly in a Chinese tropical tree community across size classes, spatial scales and habitats (2014, background): “Some have suggested that incorporating intraspecific variation can improve statistical power for the detection of non-random trait patterns (Jung et al. 2010; Swenson, Anglada-Cordero & Barone 2011).”