2002
DOI: 10.1146/annurev.ecolsys.33.010802.150452
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Plant Ecological Strategies: Some Leading Dimensions of Variation Between Species

Abstract: An important aim of plant ecology is to identify leading dimensions of ecological variation among species and to understand the basis for them. Dimensions that can readily be measured would be especially useful, because they might offer a path towards improved worldwide synthesis across the thousands of field experiments and ecophysiological studies that use just a few species each. Four dimensions are reviewed here. The leaf mass per area-leaf lifespan (LMA-LL) dimension expresses slow turnover of plant parts… Show more

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Cited by 2,554 publications
(2,887 citation statements)
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References 259 publications
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“…No benefit of dissimilarity was detected for specific leaf area or wood density, and only a weak benefit for maximum height. Our traitbased approach to modelling competition makes generalization possible across the forest ecosystems of the world and their highly diverse species composition.Phenotypic traits are considered fundamental drivers of community assembly and thus species diversity 1,6 . The effects of traits on individual plant physiologies and functions are increasingly understood, and have been shown to be underpinned by well-known and globally consistent trade-offs 1-3 .…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…No benefit of dissimilarity was detected for specific leaf area or wood density, and only a weak benefit for maximum height. Our traitbased approach to modelling competition makes generalization possible across the forest ecosystems of the world and their highly diverse species composition.Phenotypic traits are considered fundamental drivers of community assembly and thus species diversity 1,6 . The effects of traits on individual plant physiologies and functions are increasingly understood, and have been shown to be underpinned by well-known and globally consistent trade-offs 1-3 .…”
mentioning
confidence: 99%
“…Phenotypic traits and their associated trade-offs have been shown to have globally consistent effects on individual plant physiological functions [1][2][3] , but how these effects scale up to influence competition, a key driver of community assembly in terrestrial vegetation, has remained unclear 4 . Here we use growth data from more than 3 million trees in over 140,000 plots across the world to show how three key functional traits-wood density, specific leaf area and maximum height-consistently influence competitive interactions.…”
mentioning
confidence: 99%
“…The leaf area–stem size relation is nearly pervasive, being found across virtually all species that have been studied (Ackerly, 1996; Ackerly & Donoghue, 1998; Leslie et al., 2014; Sun et al., 2006; Westoby et al., 2002; White, 1983a,b; Wright et al., 2006). The only exceptions seem to be certain plants in warm drylands, which have greatly reduced leaf area for a given stem size (Eggli, 2002).…”
Section: Discussionmentioning
confidence: 99%
“…This pattern, known as Corner's rules, is pervasive, having been documented across virtually all flowering plant lineages, on multiple continents, in vastly differing vegetation types and climates (Ackerly, 1996; Ackerly & Donoghue, 1998; White, 1983a). Corner's rules state that plants with large leaves have thick twigs and branch sparingly; plants with small leaves have thin twigs that branch intricately (Leslie, Beaulieu, Crane, & Donoghue, 2014; Sun, Jin, & Shi, 2006; Westoby, Falster, Moles, Vesk, & Wright, 2002; White, 1983b; Wright, Falster, Pickup, & Westoby, 2006). What causes Corner's rules is actively being elucidated (Smith, Sperry, & Adler, 2017), and documenting how plants fill leaf area–stem size space is essential in this effort.…”
Section: Introductionmentioning
confidence: 99%
“…In terms of understanding the multiple traits driving successional differences, seed mass, leaf mass per area, woody density, and maximum height of trees received a great deal of attention (Westoby et al. 2002, Westoby & Wright 2006; Poorter et al., 2008; Chave et al. 2009; Norden, Letcher, Boukili, Swenson, & Chazdon, 2012; Buzzard, Hulshof, Birt, Violle, & Enquist, 2016).…”
Section: Introductionmentioning
confidence: 99%