Modulation of leaf economic traits and trait relationships by climate

By I. Wright, Peter B. Reich, J. H. C. Cornelissen, Daniel S. Falster, P. Groom, K. Hikosaka, William G. Lee, C. Lusk, U. Niinemets, J. Oleksyn and 4 more. 2005

846 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/777d81894204940134b0a013c17249c9de297e22

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Citations in the corpus

Going beyond limitations of plant functional types when predicting global ecosystem–atmosphere fluxes: exploring the merits of traits‐based approaches (2012, background): “leaf economics traits in relation to temperature and precipitation (Wright et al., 2005; Swenson & Weiser, 2010), leaf shape to temperature (Royer et al.”
Assessing the causes and scales of the leaf economics spectrum using venation networks in Populus tremuloides (2013, background): “Over 80% of observed total global variation in the above traits can be explained by the ﬁ rst principal component axis of variation (Wright et al. 2004, 2005), raising the question: what generates such striking convergence in leaf form and function across the planet?”
Evidence of the ‘plant economics spectrum’ in a subarctic flora (2010, background): “Nevertheless, great differences in soil characteristics, microclimate, successional phase and biotic interactions exist at local scales, the link of which to plant functional trait diversity needs to be tested further (Wright et al. 2005).”
The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto (2014, background): “Moreover, although across all taxa, leaf life span is very poorly related to climate (see above), leaf life span of evergreen species decreases with MAT, whereas that of deciduous species increases (Wright et al. 2005; van Ommen Kloeke et al. 2012).”
Leaf element concentrations of terrestrial plants across China are influenced by taxonomy and the environment (2012, methodology): “To identify the environmental effect of the suits of the associated leaf elements, the correlations of the extracted vectors of each PCA axis with latitude, MAP and MAT were assessed by regression analysis (Wright et al., 2005b).”
Evolution, origin and age of lineages in the Californian and Mediterranean floras (2009, background): “These differences mirror the broader trend in angiosperms from more evergreen leaves in the subtropics, to drought-deciduous leaves in deserts, and winter-deciduous leaves in the temperate flora, although a wide variety of strategies are observed within all of these regions (Wright et al., 2005).”
Spatial patterns of leaf nutrient traits of the plants in the Loess Plateau of China (2007, background): “And the correlation between leaf N and P was the strongest, which is consistent with Güsewell (2004), Mcgroddy et al. (2004), Wright et al. (2004; 2005a) and Han et al. (2005).”
Oaks Physiological Ecology. Exploring the Functional Diversity of Genus Quercus L. (2017, background): “Similar results have been found in other studies (Castro-Diez et al. 1997; Villar and Merino 2001; Prior et al. 2003; Wright et al. 2005; Mediavilla et al. 2008).”
Global quantification of contrasting leaf life span strategies for deciduous and evergreen species in response to environmental conditions (2012, background): “In general, evergreen species have a longer LLS than deciduous species, despite some overlap in LLS among the two leaf habits, especially in (aseasonal) tropical rain forests where fast-growing evergreen pioneer species have a short LLS because they nearly continuously produce new leaves and senesce”
Global patterns in plant height (2009, result): “…in this study are consistent with those found for seed mass (temperature, precipitation, NPP and LAI each explained <16% of the variation in seed mass, Moles et al. 2005) and leaf traits (climate explained just 18%of the variation along the principal multivariate trait axis, Wright et al. 2005).”
Ecology of Leaf Longevity (2011, methodology): “This rationale is supported by the contrasting trends in the leaf longevity of evergreen versus deciduous species reported by Wright et al. (2005a) along global temperature gradients associated with length of the growing season.”
Physiological and structural tradeoffs underlying the leaf economics spectrum. (2017, background): “…concentration per unit mass (Nmass) and higher photosynthetic rate per unit N (photosynthetic N use efficiency (PNUE)) (Poorter & Evans, 1998; Reich et al., 1998; Hikosaka, 2004; Wright et al., 2005), which also contribute to faster plant growth rates for a given condition (Poorter et al., 1990).”