A global meta-analysis of the relative extent of intraspecific trait variation in plant communities.

By A. Siefert, C. Violle, Loïc Chalmandrier, Cécile H. Albert, Adrien Taudière, A. Fajardo, Lonnie W. Aarssen, C. Baraloto, M. Carlucci, M. Cianciaruso and 35 more. Ecology Letters, 2015

1,028 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Soil Science

View Paper: https://www.semanticscholar.org/paper/52609baf9bfd223a167bf2d018fedbf29420c62a

How researchers see this paper

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

In Global and Planetary Change

In Nature and Landscape Conservation

In Soil Science

Citations in the corpus

Patterns in intraspecific variation in root traits are species‐specific along an elevation gradient (2020, background): “Although some studies found no differences between woody and non-woody species in root and leaf intraspecific trait variation along environmental gradients (Kumordzi et al., 2019; Siefert et al., 2015), others observed that herbaceous species displayed greater intraspecific leaf (Midolo et al.”
Spatial scale and intraspecific trait variability mediate assembly rules in alpine grasslands (2017, background): “(iii) Finally, we make the hypothesis that the inclusion of ITV is more relevant for inferring community assembly processes at a small spatial scale where species turnover is less pervasive than at large spatial scale (Albert et al. 2011; Siefert et al. 2015).”
Species asynchrony and response diversity determine multifunctional stability of natural grasslands (2019, background): “Our results might be strengthened by including intraspecific trait variations (Siefert et al., 2015); however, current data do not include sufficient information about individual traits within each plot.”
Spatial patterns and climate relationships of major plant traits in the New World differ between woody and herbaceous species (2018, background): “, 2014), intra-specific trait variation may be more important to incorporate when exploring species assembly processes at smaller scales than at larger scales that cover multiple and strongly heterogeneous biomes (Albert, Grassein, Schurr, Vieilledent, & Violle, 2011; Siefert et al., 2015; Violle et”
Where do functional traits come from? The role of theory and models (2019, background): “Thorny questions arise in the development of such databases: At what level do we attribute traits— to individuals, populations, species (Shipley et al., 2016; Siefert et al., 2015; Start & Gilbert, 2019)?”
Grazing‐induced shifts in community functional composition and soil nutrient availability in Tibetan alpine meadows (2016, background): “Only recently have the possible effects of ITV been considered, mostly from the point of view of community assembly (Post et al. 2008; Jung et al. 2010; Bolnick et al. 2011; Siefert et al. 2015).”
Handbook of protocols for standardized measurement of terrestrial invertebrate functional traits (2017, positive): “INCORPORAT ING INTRASPEC IF IC TRAIT VAR IAB IL ITY Evidence is increasing that intraspecific trait variability plays a significant role in demography and community assembly (de Bello et al. 2011; Bolnick et al. 2011; Violle et al. 2012; Siefert et al. 2015).”
Trait selection and community weighting are key to understanding ecosystem responses to changing precipitation regimes (2018, background): “Thus, “response traits” that can explain community shifts likely exist and are masked along precipitation gradients due to high within- site trait variability (Freschet, Cornelissen, van Logtestijn, & Aerts, 2010; Onoda et al., 2011; Siefert et al., 2015).”
Shifts in plant functional composition following long‐term drought in grasslands (2019, background): “…trait variability and trait plasticity were not assessed in this study, but these typically contribute substantially less to total trait variation than interspecific trait variability, even when sampling across broad spatial scales and strong environmental gradients (Siefert et al., 2015).”