Ontogeny strongly and differentially alters leaf economic and other key traits in three diverse Helianthus species.

The leaf economics spectrum (LES) describes large cross-species variation in suites of leaf functional traits ranging from resource-acquisitive to resource-conservative strategies. Such strategies have been integral in explaining plant adaptation to diverse environments, and have been linked to numerous ecosystem processes. The LES has previously been found to be significantly modulated by climate, soil fertility, biogeography, growth form, and life history. One largely unexplored aspect of LES variation, whole-plant ontogeny, is investigated here using multiple populations of three very different species of sunflower: Helianthus annuus, Helianthus mollis, and Helianthus radula. Plants were grown under environmentally controlled conditions and assessed for LES and related traits at four key developmental stages, using recently matured leaves to standardize for leaf age. Nearly every trait exhibited a significant ontogenetic shift in one or more species, with trait patterns differing among populations and species. Photosynthetic rate, leaf nitrogen concentration, and leaf mass per area exhibited surprisingly large changes, spanning over two-thirds of the original cross-species LES variation and shifting from resource-acquisitive to resource-conservative strategies as the plants matured. Other traits being investigated in relation to the LES, such as leaf water content, pH, and vein density, also showed large changes. The finding that ontogenetic variation in LES strategy can be substantial leads to a recommendation of standardization by developmental stage when assessing 'species values' of labile traits for comparative approaches. Additionally, the substantial ontogenetic trait shifts seen within single individuals provide an opportunity to uncover the contribution of gene regulatory changes to variation in LES traits.

[1]  Justin P. Wright,et al.  Does the leaf economic spectrum hold within local species pools across varying environmental conditions , 2012 .

[2]  A. Nardini,et al.  Trade-offs between leaf hydraulic capacity and drought vulnerability: morpho-anatomical bases, carbon costs and ecological consequences. , 2012, The New phytologist.

[3]  B. Enquist,et al.  A common genetic basis to the origin of the leaf economics spectrum and metabolic scaling allometry. , 2012, Ecology letters.

[4]  L. Revell,et al.  A NEW BAYESIAN METHOD FOR FITTING EVOLUTIONARY MODELS TO COMPARATIVE DATA WITH INTRASPECIFIC VARIATION , 2012, Evolution; international journal of organic evolution.

[5]  P. Lucas,et al.  How cellulose-based leaf toughness and lamina density contribute to long leaf lifespans of shade-tolerant species. , 2012, The New phytologist.

[6]  Kevin W Eliceiri,et al.  NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.

[7]  Peter B Reich,et al.  Key canopy traits drive forest productivity , 2012, Proceedings of the Royal Society B: Biological Sciences.

[8]  L. Sack,et al.  Developmentally based scaling of leaf venation architecture explains global ecological patterns , 2012, Nature Communications.

[9]  T. Kenzo,et al.  Variations in Leaf Photosynthetic and Morphological Traits with Tree Height in Various Tree Species in a Cambodian Tropical Dry Evergreen Forest , 2012 .

[10]  T. Dawson,et al.  Hydraulic conductance of leaves correlates with leaf lifespan: implications for lifetime carbon gain. , 2012, The New phytologist.

[11]  J. Cornelissen,et al.  A plant economics spectrum of litter decomposability , 2012 .

[12]  Modeling leaf area index from litter collection and tree data in a deciduous broadleaf forest , 2011 .

[13]  J. Cornelissen,et al.  Leaf pH as a plant trait: species‐driven rather than soil‐driven variation , 2011 .

[14]  Lourens Poorter,et al.  Leaf economics traits predict litter decomposition of tropical plants and differ among land use types , 2011 .

[15]  J. G. Burleigh,et al.  What Makes a Leaf Tough? Patterns of Correlated Evolution between Leaf Toughness Traits and Demographic Rates among 197 Shade-Tolerant Woody Species in a Neotropical Forest , 2011, The American Naturalist.

[16]  Ramona L Walls,et al.  Angiosperm leaf vein patterns are linked to leaf functions in a global-scale data set. , 2011, American journal of botany.

[17]  H. de Kroon,et al.  The evolution of the worldwide leaf economics spectrum. , 2011, Trends in ecology & evolution.

[18]  B. Enquist,et al.  Venation networks and the origin of the leaf economics spectrum. , 2011, Ecology letters.

[19]  Joshua S. Weitz,et al.  Leaf Extraction and Analysis Framework Graphical User Interface: Segmenting and Analyzing the Structure of Leaf Veins and Areoles1[W][OA] , 2010, Plant Physiology.

[20]  L. Garamszegi,et al.  Effects of sample size and intraspecific variation in phylogenetic comparative studies: a meta‐analytic review , 2010, Biological reviews of the Cambridge Philosophical Society.

[21]  Kaoru Kitajima,et al.  Tissue-level leaf toughness, but not lamina thickness, predicts sapling leaf lifespan and shade tolerance of tropical tree species. , 2010, The New phytologist.

[22]  ONTOGENY GROWTH AND RADIATION USE EFFICIENCY OF HELIANTHUS ANNUUS L., AS AFFECTED BY HYBRIDS, NITROGENOUS REGIMES AND PLANTING GEOMETRY UNDER IRRIGATED ARID CONDITIONS , 2010 .

[23]  V. J. Jaramillo,et al.  Rainfall drives leaf traits and leaf nutrient resorption in a tropical dry forest in Mexico , 2010, Oecologia.

[24]  Bruno Andrieu,et al.  Variations in leaf mass per area according to N nutrition, plant age, and leaf position reflect ontogenetic plasticity in winter oilseed rape (Brassica napus L.) , 2009 .

[25]  L. Poorter,et al.  Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. , 2009, The New phytologist.

[26]  P. Reich,et al.  A global study of relationships between leaf traits, climate and soil measures of nutrient fertility , 2009 .

[27]  A. Escudero,et al.  Ontogenetic changes in leaf phenology of two co-occurring Mediterranean oaks differing in leaf life span , 2009, Ecological Research.

[28]  J. Funk,et al.  Leaf- and shoot-level plasticity in response to different nutrient and water availabilities. , 2007, Tree physiology.

[29]  C. R. Linder,et al.  High-resolution phylogeny for Helianthus (Asteraceae) using the 18S-26S ribosomal DNA external transcribed spacer. , 2007, American journal of botany.

[30]  K. Rice,et al.  Functional ecology of ecotypic differentiation in the Californian serpentine sunflower (Helianthus exilis). , 2007, The New phytologist.

[31]  L. Donovan,et al.  Helianthus Nighttime Conductance and Transpiration Respond to Soil Water But Not Nutrient Availability1[W][OA] , 2006, Plant Physiology.

[32]  Jeannine Cavender-Bares,et al.  Phylogenetic structure of Floridian plant communities depends on taxonomic and spatial scale. , 2006, Ecology.

[33]  D. Ackerly,et al.  A trait-based test for habitat filtering: convex hull volume. , 2006, Ecology.

[34]  L. Poorter,et al.  Leaf Traits Determine the Growth‐Survival Trade‐Off across Rain Forest Tree Species , 2006, The American Naturalist.

[35]  P. Reich,et al.  Fundamental trade-offs generating the worldwide leaf economics spectrum. , 2006, Ecology.

[36]  J. Cornelissen,et al.  Foliar pH as a new plant trait: can it explain variation in foliar chemistry and carbon cycling processes among subarctic plant species and types? , 2006, Oecologia.

[37]  William G. Lee,et al.  Modulation of leaf economic traits and trait relationships by climate , 2005 .

[38]  U. Niinemets Key plant structural and allocation traits depend on relative age in the perennial herb Pimpinella saxifraga. , 2005, Annals of botany.

[39]  K. Yazaki,et al.  Ontogenetic transition of leaf physiology and anatomy from seedlings to mature trees of a rain forest pioneer tree, Macaranga gigantea. , 2005, Tree physiology.

[40]  J. Soussana,et al.  Plant traits and functional types in response to reduced disturbance in a semi-natural grassland , 2005 .

[41]  Ü. Niinemets Adaptive adjustments to light in foliage and whole-plant characteristics depend on relative age in the perennial herb Leontodon hispidus. , 2004, The New phytologist.

[42]  Sean C. Thomas,et al.  The worldwide leaf economics spectrum , 2004, Nature.

[43]  James R. Ehleringer,et al.  Ecophysiological differences among juvenile and reproductive plants of several woody species , 1991, Oecologia.

[44]  A. Hall,et al.  Genetic variation and changes with ontogeny of osmotic adjustment in sunflower (Helianthus annuus L.) , 2004, Euphytica.

[45]  J. Gowda,et al.  Age‐related changes in defensive traits of Acacia tortilis Hayne , 2003 .

[46]  M. Westoby,et al.  ECOLOGICAL STRATEGIES : Some Leading Dimensions of Variation Between Species , 2002 .

[47]  Sandra Díaz,et al.  Leaf structure and defence control litter decomposition rate across species and life forms in regional floras on two continents , 1999 .

[48]  V. Sadras,et al.  Radiation-use efficiency of sunflower crops: effects of specific leaf nitrogen and ontogeny , 1995 .

[49]  C.J.T. Spitters,et al.  Simulation of competition for light and water in crop-weed associations , 1983 .

[50]  O. Smirnova,et al.  Age states of plants of various growth forms: a review. , 1980 .