World-wide leaf economics spectrum

By I. Wright, Peter B. Reich, M. Westoby, David D. Ackerly, Z. Baruch, Frans Bongers, Jeannine Cavender-Bares, F. Chapin, J. H. C. Cornelissen, M. Diemer and 22 more. 2004

314 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fc1e980b48444b0657ea8667e7158f7dd8b38d68

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Citations in the corpus

Which is a better predictor of plant traits: temperature or precipitation? (2014, unknown): “Indices of aridity, evapotranspiration and water availability have been used in many ecological studies (Reich et al. 1999; Wright et al. 2004; Poorter et al. 2010; Douma et al. 2012; van Ommen Kloeke et al. 2012), and the combined use of temperature and precipitation to understand the distribution…”
Variability in functional traits mediates plant interactions along stress gradients (2013, background): “…to increasing temperatures and decreasing light availability across a broad range of species (Poorter et al. 2009) and is positively correlated with soil nitrogen availability (Ordo~nez et al. 2009) and negatively correlated with leaf longevity and resource-use efficiency (Wright et al. 2004).”
Mesophyll conductance to CO2: current knowledge and future prospects. (2008, background): “5) contributes to establish the so-called ‘worldwide leaf economics spectrum’ (Wright et al. 2004) and, particularly, the negative relationship between AN and/or PNUE and LMA (Hikosaka et al.”
Global effects of soil and climate on leaf photosynthetic traits and rates (2015, unknown): “The ‘Glopnet’ dataset (Wright et al., 2004) provided the starting point for the present analyses.”
Response of leaf respiration to water stress in Mediterranean species with different growth forms (2007, background): “This range was largely determined by differences among growth forms, and respiration values were strongly correlated with photosynthesis and SLA, thus confirming global trends (Wright et al., 2004).”
Evidence for a ‘plant community economics spectrum’ driven by nutrient and water limitations in a Mediterranean rangeland of southern France (2012, background): “Opposite attributes characterize species with an efficient resource conservation (Chapin, Autumn & Pugnaire 1993; Wright et al. 2004), allowing the plant to minimize nutrient loss and increase competitive abilities in dry and nutrient-poor environments (Hobbie 1992; Aerts 1995).”
Functional distinctiveness of major plant lineages (2014, background): “Ranking species by their position on the LES (using their position on a SMA axis for leaf N and SLA), 45 of the lowest 50 species © 2014 The Authors.”
Assessing the generality of global leaf trait relationships. (2005, background): “This 'leaf economics spectrum' (Wright et al ., 2004) runs from species with the potential for quick returns on investments of nutrients and dry mass in leaves to those with a slower potential rate of return.”
Divergent patterns of photosynthetic phosphorus‐use efficiency versus nitrogen‐use efficiency of tree leaves along nutrient‐availability gradients (2009, background): “Numerous studies have established that the maximum photosynthetic carbon assimilation rate (hereafter, Amax) positively correlates with foliar N concentrations (Field & Mooney 1986; Evans 1989; Wright et al. 2004).”