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; van Leeuwen, Willem J. D.; Garnello, Anthony John; Martins, Giordane; Malhi, Yadvinder; Gerard, France; Oliviera, Raimundo Cosme; Saleska, Scott R.

doi:10.1111/nph.14051

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

Journal Article · Wed Jul 06 00:00:00 EDT 2016 · New Phytologist

DOI:https://doi.org/10.1111/nph.14051· OSTI ID:1326738

Wu, Jin ^[1]; Chavana-Bryant, Cecilia ^[2]; Prohaska, Neill ^[1]; Serbin, Shawn P. ^[3]; Guan, Kaiyu ^[4]; Albert, Loren P. ^[1];

^[5]; van Leeuwen, Willem J. D. ^[1]; Garnello, Anthony John ^[1]; Martins, Giordane ^[6]; Malhi, Yadvinder ^[2]; Gerard, France ^[7]; Oliviera, Raimundo Cosme ^[8]; Saleska, Scott R. ^[1]

Univ. of Arizona, Tucson, AZ (United States)
Univ. of Oxford, Oxford (United Kingdom)
Brookhaven National Lab. (BNL), Upton, NY (United States)
Univ. of Illinois at Urbana Champaign, Urbana, IL (United States)
Brown Univ., Providence, RI (United States)
Brazil's National Institute for Amazon Research (INPA), Manaus, AM (Brazil)
Centre for Ecology and Hydrology (CEH), Wallingford (United Kingdom)
Embrapa AmazÃ´nia Oriental, SantarÃ©m PA (Brazil)

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.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC00112704; SC0008383; SC0012704; AC02-05CH11231

OSTI ID:: 1326738

Alternate ID(s):: OSTI ID: 1400467; OSTI ID: 1476490

Report Number(s):: BNL-112628-2016-JA; R&D Project: 21087; YN0100000

Journal Information:: New Phytologist, Journal Name: New Phytologist; ISSN 0028-646X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 54 works

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