Near-infrared spectrometry allows fast and extensive predictions of functional traits from dry leaves and branches

Ecological Applications : a Publication of the Ecological Society of America
Flávia Regina Capellotto CostaLourens Poorter

Abstract

The linking of individual functional traits to ecosystem processes is the basis for making generalizations in ecology, but the measurement of individual values is laborious and time consuming, preventing large-scale trait mapping. Also, in hyper-diverse systems, errors occur because identification is difficult, and species level values ignore intra-specific variation. To allow extensive trait mapping at the individual level, we evaluated the potential of Fourrier-Transformed Near Infra-Red Spectrometry (FT-NIR) to adequately describe 14 traits that are key for plant carbon, water, and nutrient balance. FT-NIR absorption spectra (1,000-2,500 nm) were obtained from dry leaves and branches of 1,324 trees of 432 species from a hyper-diverse Amazonian forest. FT-NIR spectra were related to measured traits for the same plants using partial least squares regressions. A further 80 plants were collected from a different site to evaluate model applicability across sites. Relative prediction error (RMSErel ) was calculated as the percentage of the trait value range represented by the final model RMSE. The key traits used in most functional trait studies; specific leaf area, leaf dry matter content, wood density and wood dry matter content...Continue Reading

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Citations

Jun 27, 2018·Ecological Applications : a Publication of the Ecological Society of America·Micheli Duarte de Paula CostaHugh P Possingham
Sep 13, 2021·The New Phytologist·Lance StasinskiJosé Eduardo Meireles

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