Literature DB >> 28295374

Physiological and structural tradeoffs underlying the leaf economics spectrum.

Yusuke Onoda1, Ian J Wright2, John R Evans3, Kouki Hikosaka4, Kaoru Kitajima1, Ülo Niinemets5, Hendrik Poorter6, Tiina Tosens5, Mark Westoby2.   

Abstract

The leaf economics spectrum (LES) represents a suite of intercorrelated leaf traits concerning construction costs per unit leaf area, nutrient concentrations, and rates of carbon fixation and tissue turnover. Although broad trade-offs among leaf structural and physiological traits have been demonstrated, we still do not have a comprehensive view of the fundamental constraints underlying the LES trade-offs. Here, we investigated physiological and structural mechanisms underpinning the LES by analysing a novel data compilation incorporating rarely considered traits such as the dry mass fraction in cell walls, nitrogen allocation, mesophyll CO2 diffusion and associated anatomical traits for hundreds of species covering major growth forms. The analysis demonstrates that cell wall constituents are major components of leaf dry mass (18-70%), especially in leaves with high leaf mass per unit area (LMA) and long lifespan. A greater fraction of leaf mass in cell walls is typically associated with a lower fraction of leaf nitrogen (N) invested in photosynthetic proteins; and lower within-leaf CO2 diffusion rates, as a result of thicker mesophyll cell walls. The costs associated with greater investments in cell walls underpin the LES: long leaf lifespans are achieved via higher LMA and in turn by higher cell wall mass fraction, but this inevitably reduces the efficiency of photosynthesis.
© 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.

Entities:  

Keywords:  anatomy; biodiversity; cell walls; leaf economics spectrum; mesophyll conductance; nitrogen allocation; photosynthesis

Mesh:

Substances:

Year:  2017        PMID: 28295374     DOI: 10.1111/nph.14496

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  57 in total

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