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Title: Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests
Authors: Wu, Jin
Chavana-Bryant, Cecilia
Prohaska, Neill
Serbin, Shawn P.
Guan, Kaiyu
Albert, Loren P.
Yang, Xi
Van Leeuwen, Willem Jan Dirk
Garnello, Anthony John
Martins, Giordane Augusto
Malhi, Yadvinder Singh
Gerard, France F.
Oliviera, Raimundo Cosme
Saleska, Scott Reid
Keywords: Canopy Reflectance
Least Squares Method
Life History Trait
Tropical Forest
Vegetation Index
Water Content
Anatomy And Histology
Growth, Development And Aging
Plant Leaf
Quantitative Trait
Regression Analysis
Theoretical Model
Tropic Climate
Models, Theoretical
Plant Leaves
Quantitative Trait, Heritable
Regression Analysis
Tropical Climate
Issue Date: 2017
metadata.dc.publisher.journal: New Phytologist
metadata.dc.relation.ispartof: Volume 214, Número 3, Pags. 1033-1048
Abstract: 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. © 2016 The Authors. New Phytologist © 2016 New Phytologist Trust
metadata.dc.identifier.doi: 10.1111/nph.14051
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