Assessing functional diversity in the field - methodology matters!

By S. Lavorel, K. Grigulis, S. McIntyre, N. Williams, D. Garden, J. Dorrough, S. Berman, F. Quétier, A. Thébault, Anne Bonis. 2007

924 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5963424da4e225cb5bbe6ab3648de45268927cb7

How researchers see this paper

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

In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome (2012, background): “These measures were historically adopted from macroecology into microbial ecology, and while the former has included assessments of functional diversity [35,36], it has been proposed for microbial communities [37,38] but not yet widely adopted in metagenomic studies.”
Contrasting taxonomic and functional responses of a tropical tree community to selective logging (2012, background): “Functional diversity indices are notably sensitive to the choice of traits (Lavorel & Garnier 2002; Lavorel et al. 2008; Mouchet et al. 2010).”
A multi‐trait approach reveals the structure and the relative importance of intra‐ vs. interspecific variability in plant traits (2010, background): “While studying ecosystem functioning will probably tolerate representing species by their mean trait values, because only the overall trait distribution is required and mean community properties show low sensitivity to intraspecific variation (Lavorel et al. 2008); studying community assembly patter”
Plant functional diversity and carbon storage – an empirical test in semi‐arid forest ecosystems (2013, background): “Dominant species were selected as those that together constituted at least 75% of the total community coverage, including woody and herbaceous vegetation (Cornelissen et al. 2003; Pakeman & Quested 2007; Lavorel et al. 2008).”
New handbook for standardised measurement of plant functional traits worldwide (2013, background): “…traits to be any morphological, physiological or phenological feature, measurable for individual plants, at the cell to the wholeorganism level, which potentially affects its fitness (cf. McGill et al. 2006; Lavorel et al. 2007; Violle et al. 2007) or its environment (Lavorel and Garnier 2002).”
How fundamental plant functional trait relationships scale‐up to trade‐offs and synergies in ecosystem services (2012, methodology): “Green biomass and standing litter were estimated using a calibrated visual method (Lavorel et al. 2008).”
Linkages between extracellular enzyme activities and the carbon and nitrogen content of grassland soils (2016, background): “Winters are cold and snowy (mean February temperature of 7.4 C), summers are cool (mean July temperature of 13 C), while average annual precipitation is 956 mm (see Lavorel et al., 2007, 2011 and Robson et al., 2007 and for more details).”
Quantifying Functional Biodiversity (2011, methodology): “When species’ biomass is not available, other measures like cover, basal area or abundance may be used as surrogate for biomass (Díaz et al. 2007a; Lavorel et al. 2008).”
Plant functional diversity modulates global environmental change effects on grassland productivity (2018, background): “where pi is the relative abundance of species i in the community, and traiti is the trait value of species i (Lavorel et al. 2008).”
Green corridors in urban landscapes affect the arthropod communities of domestic gardens (2012, methodology): “Functional composition was handled using pRDA with the same covariable and a community weighted trait matrix as response variable (CWM) (Lavorel et al., 2008).”