Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests

Jin Wu, Cecilia Chavana-Bryant, Neill Prohaska, Shawn P. Serbin, Kaiyu Guan, Loren P. Albert, Xi Yang, Willem J.D. van Leeuwen, Anthony John Garnello, Giordane Martins, Yadvinder Malhi, France Gerard, Raimundo Cosme Oliviera, Scott R. Saleska

Research output: Contribution to journalArticlepeer-review


Leaf age structures the phenology and development of plants, as well as the evolution of leaf traits over life histories. However, a general method for efficiently estimating leaf age across forests and canopy environments is lacking. Here, we explored the potential for a statistical model, previously developed for Peruvian sunlit leaves, to consistently predict leaf ages from leaf reflectance spectra across two contrasting forests in Peru and Brazil and across diverse canopy environments. The model performed well for independent Brazilian sunlit and shade canopy leaves (R2 = 0.75–0.78), suggesting that canopy leaves (and their associated spectra) follow constrained developmental trajectories even in contrasting forests. The model did not perform as well for mid-canopy and understory leaves (R2 = 0.27–0.29), because leaves in different environments have distinct traits and trait developmental trajectories. When we accounted for distinct environment–trait linkages – either by explicitly including traits and environments in the model, or, even better, by re-parameterizing the spectra-only model to implicitly capture distinct trait-trajectories in different environments – we achieved a more general model that well-predicted leaf age across forests and environments (R2 = 0.79). Fundamental rules, linked to leaf environments, constrain the development of leaf traits and allow for general prediction of leaf age from spectra across species, sites and canopy environments.

Original languageEnglish (US)
Pages (from-to)1033-1048
Number of pages16
JournalNew Phytologist
Issue number3
StatePublished - May 1 2017


  • leaf mass per area (LMA)
  • leaf water content (LWC)
  • partial least-squares regression (PLSR)
  • spectroscopy
  • understory
  • vegetation indices
  • vertical canopy profiles

ASJC Scopus subject areas

  • Physiology
  • Plant Science


Dive into the research topics of 'Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests'. Together they form a unique fingerprint.

Cite this