Journal of Forestry Research

, Volume 28, Issue 3, pp 473–479 | Cite as

Differences in leaf functional traits between red and green leaves of two evergreen shrubs Photinia × fraseri and Osmanthus fragrans

  • Congyan Wang
  • Hongguang Xiao
  • Jun Liu
  • Jiawei Zhou
Original Paper

Abstract

Leaf functional traits are adaptations that enable plants to live under different environmental conditions. This study aims to evaluate the differences in leaf functional traits between red and green leaves of two evergreen shrubs Photinia × fraseri and Osmanthus fragrans. Specific areas of red leaves are higher than that of green leaves in both species. Thus, the material investment per unit area and per lamina of red leaves is significantly lower than that of green leaves, implying an utmost effort of red leaves to increase light capture and use efficiency because of their low leaf-chlorophyll concentration. The higher petiole length of green leaves compared with that of red leaves indicates that adult green leaves may have large fractional biomass allocation to support the lamina structures in capturing light with maximum efficiency and obtaining a high growth rate. The high range of the phenotypic plasticity of leaf size, leaf thickness, single-leaf wet and dry weights, and leaf moisture of green leaves may be beneficial in achieving efficient control of water loss and nutrient deprivation. The high range of phenotypic plasticity of leaf chlorophyll concentration of red leaves may be advantageous in increasing resource (especially light) capture and use efficiency because this leaf type is juvenile in the growth stage and has low leaf-chlorophyll concentration.

Keywords

Foliage color Leaf functional traits Osmanthus fragrans Photinia × fraseri Red robin Specific leaf area 

Notes

Acknowledgements

We are grateful to the anonymous reviewers for insightful and constructive comments that greatly improved this manuscript.

References

  1. Ackerly DD, Knight CA, Weiss SB, Barton K, Starmer KP (2002) Leaf size, specific leaf area and microhabitat distribution of chaparral woody plants, contrasting patterns in species level and community level analyses. Oecologia 130:449–457CrossRefGoogle Scholar
  2. Battie-Laclau P, Laclau JP, Beri C, Mietton L, Muniz MRA, Arenque BC, De Cassia Piccolo M, Jordan-Meille L, Bouillet JP, Nouvellon Y (2014) Photosynthetic and anatomical responses of Eucalyptus grandis leaves to potassium and sodium supply in a field experiment. Plant Cell Environ 37:70–81CrossRefPubMedGoogle Scholar
  3. Burns KC, Beaumont S (2009) Scale-dependent trait correlations in a temperate tree community. Austral Ecol 34:670–677CrossRefGoogle Scholar
  4. Chen LY, Tiu CJ, Peng SL, Siemann E (2013) Conspecific plasticity and invasion: invasive populations of Chinese tallow (Triadica sebifera) have performance advantage over native populations only in low soil salinity. PLoS ONE 8:e74961CrossRefPubMedPubMedCentralGoogle Scholar
  5. Jeong N, Moon JK, Kim HS, Kim CG, Jeong SC (2011) Fine genetic mapping of the genomic region controlling leaflet shape and number of seeds per pod in the soybean. Theor Appl Genet 122:865–874CrossRefPubMedGoogle Scholar
  6. Kardel F, Wuyts K, Babanezhad M, Vitharana UWA, Wuytack T, Potters G, Samson R (2010) Assessing urban habitat quality based on specific leaf area and stomatal characteristics of Plantago lanceolata L. Environ Pollut 158:788–794CrossRefPubMedGoogle Scholar
  7. Lamarque LJ, Porté AJ, Eymeric C, Lasnier JB, Lortie CJ, Delzon S (2013) A test for pre-adapted phenotypic plasticity in the invasive tree Acer negundo L. PLoS ONE 8:e74239CrossRefPubMedPubMedCentralGoogle Scholar
  8. Liu FD, Yang WJ, Wang ZS, Xu Z, Liu H, Zhang M, Liu YH, An SQ, Sun SC (2010) Plant size effects on the relationships among specific leaf area, leaf nutrient content, and photosynthetic capacity in tropical woody species. Acta Oecol 36:149–159CrossRefGoogle Scholar
  9. McIntyre PJ, Strauss SY (2014) Phenotypic and transgenerational plasticity promote local adaptation to sun and shade environments. Ecol Evol 28:229–246CrossRefGoogle Scholar
  10. Mediavilla S, Escudero A (2009) Ontogenetic changes in leaf phenology of two co-occurring Mediterranean oaks differing in leaf life span. Ecol Res 24:1083–1090CrossRefGoogle Scholar
  11. Meng FQ, Cao R, Yang DM, Niklas KJ, Sun SC (2014) Trade-offs between light interception and leaf water shedding: a comparison of shade- and sun-adapted species in a subtropical rainforest. Oecologia 174:13–22CrossRefPubMedGoogle Scholar
  12. Nie QJ, Shi BS, Meng Z, Liu DY, Lou LN (2008) The enzyme activities, pigment and inclusion contents in different leaves color of Cotinus coggygria ‘Royal Purple’ in Autumn. Bull Bot Res 28:599–602 (In Chinese) Google Scholar
  13. Niklas KJ, Cobb ED, Niinemets U, Reich PB, Sellin A, Shipley B, Wright IJ (2007) “Diminishing returns” in the scaling of functional leaf traits across and within species groups. P Natl Acad Sci USA 104:8891–8896CrossRefGoogle Scholar
  14. Pickup M, Westoby M, Basden A (2005) Dry mass costs of deploying leaf area in relation to leaf size. Funct Ecol 19:88–97CrossRefGoogle Scholar
  15. Pietsch KA, Ogle K, Cornelissen JHC, Cornwell WK, Bönisch G, Craine JM, Jackson BG, Kattge J, Peltzer DA, Penuelas J, Reich PB, Wardle DA, Weedon JT, Wright IJ, Zanne AE, Wirth C (2014) Global relationship of wood and leaf litter decomposability: the role of functional traits within and across plant organs. Global Ecol Biogeogr 23:1046–1057CrossRefGoogle Scholar
  16. Poorter H, Niinemets U, Poorter L, Wright IJ, Villar R (2009) Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. New Phytol 182:565–588CrossRefPubMedGoogle Scholar
  17. Richardson AD, Duigan SP, Berlyn GP (2002) An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytol 153:185–194CrossRefGoogle Scholar
  18. Scheepens JF, Frei ES, Stöcklin J (2010) Genotypic and environmental variation in specific leaf area in a widespread Alpine plant after transplantation to different altitudes. Oecologia 164:141–150CrossRefPubMedGoogle Scholar
  19. Valladares F, Sanchez-Gomez D, Zavala MA (2006) Quantitative estimation of phenotypic plasticity: bridging the gap between the evolutionary concept and its ecological applications. J Ecol 94:1103–1116CrossRefGoogle Scholar
  20. Wang Z, Zhang L (2012) Leaf shape alters the coefficients of leaf area estimation models for Saussurea stoliczkai in central Tibet. Photosynthetica 50:337–342CrossRefGoogle Scholar
  21. Wang CY, Liu J, Xiao HG, Du DL (2016a) Response of leaf functional traits of Cerasus yedoensis (Mats.) Yü li to serious insect attack. Pol J Environ Stud 25:333–339CrossRefGoogle Scholar
  22. Wang CY, Xiao HG, Liu J, Zhou JW, Du DL (2016b) Insights into the effects of simulated nitrogen deposition on leaf functional traits of Rhus typhina. Pol J Environ Stud 25:1279–1284CrossRefGoogle Scholar
  23. Wright IJ, Reich PB, Westoby M, Ackerly DD, Baruch Z, Bongers F, Cavender-Bares J, Chapin FS, Cornelissen JHC, Diemer M, Flexas J, Garnier E, Groom PK, Gulias J, Hikosaka K, Lamont BB, Lee T, Lee W, Lusk C, Midgley JJ, Navas ML, Niinemets U, Oleksyn J, Osada N, Poorter H, Poot P, Prior L, Pyankov VI, Roumet C, Thomas SC, Tjoelker MG, Veneklaas EJ, Villar R (2004) The worldwide leaf economics spectrum. Nature 428:821–827CrossRefPubMedGoogle Scholar
  24. Wright IJ, Ackerly DD, Bongers F, Harms KE, Ibarra-Manriquez G, Martinez-Ramos M, Mazer SJ, Muller-Landau HC, Paz H, Pitman NCA, Poorter L, Silman MR, Vriesendorp CF, Webb CO, Westoby M, Wright SJ (2007) Relationships among ecologically-important dimensions of plant trait variation in seven neotropical forests. An Bot 99:1003–1015CrossRefGoogle Scholar
  25. Wu YF, Yu PB, Zhu ZL (2016) Physiological and biochemical characteristics of Carpinus turczaninowii leaves with different colors in spring. J Northwest A & F Univ (Nat Sci Ed) 44:1–8 (In Chinese) Google Scholar
  26. Xiao HG, Wang CY, Liu J, Wang L, Du DL (2015) Insights into the differences in leaf functional traits of heterophyllous Syringa oblata under different light intensities. J For Res 26:613–621CrossRefGoogle Scholar

Copyright information

© Northeast Forestry University and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Congyan Wang
    • 1
    • 2
  • Hongguang Xiao
    • 1
    • 2
  • Jun Liu
    • 1
    • 2
  • Jiawei Zhou
    • 1
    • 2
  1. 1.School of the Environment and Safety EngineeringJiangsu UniversityZhenjiangPeople’s Republic of China
  2. 2.Institute of Environment and Ecology, Academy of Environmental Health and Ecological SecurityJiangsu UniversityZhenjiangPeople’s Republic of China

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