2015
DOI: 10.3389/fpls.2015.00901
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Novel evidence for within-species leaf economics spectrum at multiple spatial scales

Abstract: Leaf economics spectrum (LES), characterizing covariation among a suite of leaf traits relevant to carbon and nutrient economics, has been examined largely among species but hardly within species. In addition, very little attempt has been made to examine whether the existence of LES depends on spatial scales. To address these questions, we quantified the variation and covariation of four leaf economic traits (specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus contents) in a cosmopolitan … Show more

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Cited by 36 publications
(39 citation statements)
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“…Nonetheless, a large amount of variation in leaf and root traits has been observed in various ecosystems at the local scale (Hu et al, 2015;Liu et al, 2010;Messier, McGill, & Lechowicz, 2010;Wright et al, 2004). The drivers of trait variation are often different across spatial scales; for example, both climatic and soil conditions were important determinants at global and regional scales, while soil water and nutrient availability were the main factors at local scales (Messier et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Nonetheless, a large amount of variation in leaf and root traits has been observed in various ecosystems at the local scale (Hu et al, 2015;Liu et al, 2010;Messier, McGill, & Lechowicz, 2010;Wright et al, 2004). The drivers of trait variation are often different across spatial scales; for example, both climatic and soil conditions were important determinants at global and regional scales, while soil water and nutrient availability were the main factors at local scales (Messier et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Although the LES was originally formulated at broad phylogenetic scales, coordination between leaf structure and photosynthetic function is also predicted to be a fundamental constraint within species (Martin et al, 2007;Vasseur et al, 2012;Aspinwall et al, 2013;Blonder et al, 2013Blonder et al, , 2015Grady et al, 2013;Brouillette et al, 2014;Hu et al, 2015;Niinemets, 2015) and genera (Givnish et al, 2004;Dunbar-Co et al, 2009;Santiago & Kim, 2009;Edwards et al, 2014;Mason & Donovan, 2015). If there is a hard trade-off between LMA and mesophyll CO 2 diffusion and strong selection for coordination between CO 2 diffusion and biochemical capacity, the axes of trait variation within and between species will be largely concordant.…”
Section: Introductionmentioning
confidence: 99%
“…The LES predicts that lower nitrogen concentration leaves (high C:N, low proportion N) are found in drier and in hotter areas, possibly in part because of investment in nonphotosynthetic leaf features, for example, veins (Blonder, Violle, Bentley, & Enquist, 2011;Easlon et al, 2014;Sack et al, 2012; see Table 1 for phenotype/environment hypotheses and how they relate to the fast/slow framework). Low N leaves are thicker (high mass to area) and provide protection against stress (drought) at the expense of N investment in photosynthesis, resulting in a slower life cycle (Evans, 1989;Stocking & Ongun, 1962 (Anderegg et al, 2018;Hu et al, 2015;Wright & Sutton-Grier, 2012). Nevertheless, Arabidopsis exhibits genetic variation in traits that generally corresponds to LES predictions (Easlon et al, 2014;Sartori et al, 2019;Vasseur, Violle, Enquist, Granier, & Vile, 2012); individuals with rapid life histories have physiological traits tied to fast growth and resource acquisition (e.g., high stomatal conductance, high specific leaf area; Lovell et al, 2013;McKay, Richards, & Mitchell-Olds, 2003;Sartori et al, 2019;Wolfe & Tonsor, 2014).…”
Section: Introductionmentioning
confidence: 99%