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

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

The New phytologist, 2017-05, Vol.214 (3), p.1033-1048 [Peer Reviewed Journal]

England: New Phytologist Trust

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Title:
Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests
Author: Wu, Jin ; Chavana‐Bryant, Cecilia ; Prohaska, Neill ; Serbin, Shawn P. ; Guan, Kaiyu ; Albert, Loren P. ; Yang, Xi ; Leeuwen, Willem J. D. ; Garnello, Anthony John ; Martins, Giordane ; Malhi, Yadvinder ; Gerard, France ; Oliviera, Raimundo Cosme ; Saleska, Scott R.
Subjects: Age ; Brazil ; Canopies ; Canopy ; Forests ; Geography ; leaf mass per area (LMA) ; leaf water content (LWC) ; Leaves ; Light ; Mathematical models ; Models, Theoretical ; partial least‐squares regression (PLSR) ; Peru ; Plant Leaves - growth & development ; Plant Leaves - physiology ; Predictions ; Quantitative Trait, Heritable ; Reflectance ; Regression Analysis ; Spectra ; spectroscopy ; Statistical models ; Trajectories ; Trees - anatomy & histology ; Trees - growth & development ; Tropical Climate ; Tropical forests ; Understory ; vegetation indices ; vertical canopy profiles
Is Part Of: The New phytologist, 2017-05, Vol.214 (3), p.1033-1048
Notes: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
AC02-05CH11231
Description: 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 (R 2 = 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 (R 2 = 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 (R 2 = 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.
Publisher: England: New Phytologist Trust
Language: English

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

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

England: New Phytologist Trust

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