Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests
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,more »
- Authors:
-
- 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 Amazônia Oriental, Santarém PA (Brazil)
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1326738
- Alternate Identifier(s):
- OSTI ID: 1400467; OSTI ID: 1476490
- Report Number(s):
- BNL-112628-2016-JA
Journal ID: ISSN 0028-646X; R&D Project: 21087; YN0100000
- Grant/Contract Number:
- SC00112704; SC0008383; SC0012704; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- New Phytologist
- Additional Journal Information:
- Journal Name: New Phytologist; Journal ID: ISSN 0028-646X
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; spectroscopy; partial least squares regression (PLSR); vertical canopy profiles; leaf mass per area (LMA); leaf water content (LWC); vegetation indices; understory
Citation Formats
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, and Saleska, Scott R. Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests. United States: N. p., 2016.
Web. doi:10.1111/nph.14051.
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. Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests. United States. https://doi.org/10.1111/nph.14051
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, and Saleska, Scott R. Wed .
"Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests". United States. https://doi.org/10.1111/nph.14051. https://www.osti.gov/servlets/purl/1326738.
@article{osti_1326738,
title = {Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests},
author = {Wu, Jin and Chavana-Bryant, Cecilia and Prohaska, Neill and Serbin, Shawn P. and Guan, Kaiyu and Albert, Loren P. and Yang, Xi and van Leeuwen, Willem J. D. and Garnello, Anthony John and Martins, Giordane and Malhi, Yadvinder and Gerard, France and Oliviera, Raimundo Cosme and Saleska, Scott R.},
abstractNote = {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.},
doi = {10.1111/nph.14051},
journal = {New Phytologist},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 06 00:00:00 EDT 2016},
month = {Wed Jul 06 00:00:00 EDT 2016}
}
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- Costa, Flávia R. C.; Lang, Carla; Almeida, Danilo R. A.
- Ecological Applications, Vol. 28, Issue 5
Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery
journal, September 2018
- Thomson, Eleanor; Malhi, Yadvinder; Bartholomeus, Harm
- Remote Sensing, Vol. 10, Issue 10
Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo
text, January 2019
- H., Nunes, Matheus; Sabine, Both,; Boris, Bongalov,
- ETH Zurich
Developmental changes in the reflectance spectra of temperate deciduous tree leaves and implications for thermal emissivity and leaf temperature
journal, November 2020
- Richardson, Andrew D.; Aubrecht, Donald M.; Basler, David
- New Phytologist, Vol. 229, Issue 2
Hyperspectral and Thermal Sensing of Stomatal Conductance, Transpiration, and Photosynthesis for Soybean and Maize under Drought
journal, September 2020
- Sobejano-Paz, Verónica; Mikkelsen, Teis Nørgaard; Baum, Andreas
- Remote Sensing, Vol. 12, Issue 19