Variation in leaf traits through seasons and N-availability levels and its consequences for ranking grassland species

By Raouda Al Haj Khaled, Michel Duru, J. Theau, S. Plantureux, P. Cruz. 2005

122 citations recorded by the source corpus.

Subfields: Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/786fedb1ff664c72b76bad95249cf83c462bfe0a

How researchers see this paper

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

In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

Quantifying and interpreting functional diversity of natural communities: practical considerations matter (2006, background): “Nevertheless, (at least some) traits are highly variable within a species (e.g. Al Haj Khaled et al. 2005, Petrů et al. 2006).”
Assessing functional diversity in the field - methodology matters! (2007, background): “…variability (Garnier et al. 2001), but intraspecific studies also remind us that traits can vary considerably within species, due to both plasticity (e.g. Puijalon & Bornette 2004; Al Haj Khaled et al. 2005; Semmartin & Ghersa 2006) and genetic differences between populations (Marron et al. 2005).”
Leaf Traits as Functional Descriptors of the Intensity of Continuous Grazing in Native Grasslands in the South of Brazil (2010, result): “The high LDMC of this PFT is an indicator of low nutritive value (Al Haj Khaled et al. 2006).”
Root traits are related to plant water-use among rangeland Mediterranean species (2017, methodology): “Flowering date was calculated from cumulative degree-days (Al Haj Khaled et al. 2005) for each species using phenological data from Bernard-Verdier et al. (2012).”
Complementarity as a mechanism of coexistence between functional groups of grasses (2007, background): “Although grass species are usually considered as a same functional group when classifications are based on life form (Hooper et al. 2005), they differ considerably in their traits and their responses to environmental factors (Diaz et al. 2004; Al Haj Khaled et al. 2005; Gross et al. 2007).”
A multi‐trait approach reveals the structure and the relative importance of intra‐ vs. interspecific variability in plant traits (2010, background): “This ‘robustness assumption’ leads to species classifications along leading axes of variation based on unique trait values for each species, implying consistent and meaningful species rankings (Garnier et al. 2001; Roche, Diaz-Burlinson & Gachet 2004; Al Haj Khaled et al. 2005).”