Can Leaf Spectroscopy Predict Leaf and Forest Traits Along a Peruvian Tropical Forest Elevation Gradient?

Christopher E. Doughty, P. E. Santos-Andrade, G. R. Goldsmith, Benjamin Blonder, A. Shenkin, L. P. Bentley, C. Chavana-Bryant, W. Huaraca-Huasco, S. Díaz, N. Salinas, B. J. Enquist, R. Martin, G. P. Asner, Y. Malhi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

High-resolution spectroscopy can be used to measure leaf chemical and structural traits. Such leaf traits are often highly correlated to other traits, such as photosynthesis, through the leaf economics spectrum. We measured VNIR (visible-near infrared) leaf reflectance (400–1,075 nm) of sunlit and shaded leaves in ~150 dominant species across ten, 1 ha plots along a 3,300 m elevation gradient in Peru (on 4,284 individual leaves). We used partial least squares (PLS) regression to compare leaf reflectance to chemical traits, such as nitrogen and phosphorus, structural traits, including leaf mass per area (LMA), branch wood density and leaf venation, and “higher-level” traits such as leaf photosynthetic capacity, leaf water repellency, and woody growth rates. Empirical models using leaf reflectance predicted leaf N and LMA (r2 > 30% and %RMSE < 30%), weakly predicted leaf venation, photosynthesis, and branch density (r2 between 10 and 35% and %RMSE between 10% and 65%), and did not predict leaf water repellency or woody growth rates (r2<5%). Prediction of higher-level traits such as photosynthesis and branch density is likely due to these traits correlations with LMA, a trait readily predicted with leaf spectroscopy.

Original languageEnglish (US)
Pages (from-to)2952-2965
Number of pages14
JournalJournal of Geophysical Research: Biogeosciences
Volume122
Issue number11
DOIs
StatePublished - Nov 1 2017
Externally publishedYes

Fingerprint

Photosynthesis
leaves
tropical forests
tropical forest
spectroscopy
Spectroscopy
gradients
Water
Phosphorus
Wood
Nitrogen
Infrared radiation
Economics
photosynthesis
reflectance
branchwood
Peru
wood density

Keywords

  • PLS regression
  • spectroscopy
  • tropical forests

ASJC Scopus subject areas

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

Cite this

Can Leaf Spectroscopy Predict Leaf and Forest Traits Along a Peruvian Tropical Forest Elevation Gradient? / Doughty, Christopher E.; Santos-Andrade, P. E.; Goldsmith, G. R.; Blonder, Benjamin; Shenkin, A.; Bentley, L. P.; Chavana-Bryant, C.; Huaraca-Huasco, W.; Díaz, S.; Salinas, N.; Enquist, B. J.; Martin, R.; Asner, G. P.; Malhi, Y.

In: Journal of Geophysical Research: Biogeosciences, Vol. 122, No. 11, 01.11.2017, p. 2952-2965.

Research output: Contribution to journalArticle

Doughty, CE, Santos-Andrade, PE, Goldsmith, GR, Blonder, B, Shenkin, A, Bentley, LP, Chavana-Bryant, C, Huaraca-Huasco, W, Díaz, S, Salinas, N, Enquist, BJ, Martin, R, Asner, GP & Malhi, Y 2017, 'Can Leaf Spectroscopy Predict Leaf and Forest Traits Along a Peruvian Tropical Forest Elevation Gradient?', Journal of Geophysical Research: Biogeosciences, vol. 122, no. 11, pp. 2952-2965. https://doi.org/10.1002/2017JG003883
Doughty, Christopher E. ; Santos-Andrade, P. E. ; Goldsmith, G. R. ; Blonder, Benjamin ; Shenkin, A. ; Bentley, L. P. ; Chavana-Bryant, C. ; Huaraca-Huasco, W. ; Díaz, S. ; Salinas, N. ; Enquist, B. J. ; Martin, R. ; Asner, G. P. ; Malhi, Y. / Can Leaf Spectroscopy Predict Leaf and Forest Traits Along a Peruvian Tropical Forest Elevation Gradient?. In: Journal of Geophysical Research: Biogeosciences. 2017 ; Vol. 122, No. 11. pp. 2952-2965.
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