One leaf for all: Chemical traits of single leaves measured at the leaf surface using near‐infrared reflectance spectroscopy. Issue 9 (8th July 2020)

• Record Type: Journal Article
• Authors: Petit Bon, Matteo; Böhner, Hanna; Kaino, Sissel; Moe, Torunn; Bråthen, Kari Anne
• Editors: Royles, Jessica
• Is Part Of: Methods in ecology and evolution. Volume 11:Issue 9(2020)
• Page Start: 1061
• Page End: 1071
• Publication Date: 2020-07-08
• Subjects: arctic–alpine -- carbon -- functional groups -- leaf chemical traits -- nitrogen -- phenological stages -- phosphorus -- silicon; Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.13432
• Languages: English
• ISSNs: 2041-210X

Abstract

Abstract: The leaf is an essential unit for measures of plant ecological traits. Yet, measures of plant chemical traits are often achieved by merging several leaves, masking potential foliar variation within and among plant individuals. This is also the case with cost‐effective measures derived using near‐infrared reflectance spectroscopy (NIRS). The calibration models developed for converting NIRS spectral information to chemical traits are typically based on spectra from merged and milled leaves. In this study, we ask whether such calibration models can be applied to spectra derived from whole leaves, providing measures of chemical traits of single leaves. We sampled cohorts of single leaves from different biogeographic regions, growth forms, species and phenological stages to include variation in leaf and chemical traits. For each cohort, we first sampled NIRS spectra from each whole, single leaf, including leaf sizes down to Ø 4 mm (the minimum area of our NIRS application). Next, we merged, milled and tableted the leaves and sampled spectra from the cohort as a tablet. We applied arctic–alpine calibration models to all spectra and derived chemical traits. Finally, we evaluated the performance of the models in predicting chemical traits of whole, single leaves by comparing the traits derived at the level of leaves to that of the tablets. We found that the arctic–alpine calibration models can successfully be applied to single, whole leaves for measures of nitrogen ( R 2 = 0.88, RMSE = 0.824), phosphorus ( R 2 = 0.65, RMSE = 0.081) and carbon ( R 2 = 0.78, RMSE = 2.199) content. For silicon content, we found the method acceptable when applied to silicon‐rich growth forms ( R 2 = 0.67, RMSE = 0.677). We found a considerable variation in chemical trait values among leaves within the cohorts. This time‐ and cost‐efficient NIRS application provides non‐destructive measures of a set of chemical traits in single, whole leaves, including leaves of small sizes. The application can facilitate research into the scales of variability of chemical traits and include intra‐individual variation. Potential trade‐offs among chemical traits and other traits within the leaf unit can be identified and be related to ecological processes. In sum, this NIRS application can facilitate further ecological understanding of the role of leaf chemical traits.