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dc.contributor.authorPetit Bon, Matteo
dc.contributor.authorBöhner, Hanna
dc.contributor.authorKaino, Sissel
dc.contributor.authorMoe, Torunn
dc.contributor.authorBråthen, Kari Anne
dc.date.accessioned2020-08-18T07:36:01Z
dc.date.available2020-08-18T07:36:01Z
dc.date.issued2020-06-10
dc.description.abstract1. 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.<p><p> 2. 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.<p><p> 3. We found that the arctic–alpine calibration models can successfully be applied to single, whole leaves for measures of nitrogen (<i>R</i><sup>2</sup> = 0.88, RMSE = 0.824), phosphorus (<i>R</i><sup>2</sup> = 0.65, RMSE = 0.081) and carbon (<i>R</i><sup>2</sup> = 0.78, RMSE = 2.199) content. For silicon content, we found the method acceptable when applied to silicon‐rich growth forms (<i>R</i><sup>2</sup> = 0.67, RMSE = 0.677). We found a considerable variation in chemical trait values among leaves within the cohorts.<p><p> 4. 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.en_US
dc.identifier.citationPetit Bon, Bohner, Kaino, Moe, Bråthen. One leaf for all: Chemical traits of single leaves measured at the leaf surface using near-infrared reflectance spectroscopy. Methods in Ecology and Evolution. 2020:1-11en_US
dc.identifier.cristinIDFRIDAID 1820354
dc.identifier.doi10.1111/2041-210X.13432
dc.identifier.issn2041-210X
dc.identifier.urihttps://hdl.handle.net/10037/19007
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.ispartofPetit Bon, M. (2020). Short-term tundra plant-community nutrient responses to herbivory and warming: New insights from Near infrared-reflectance spectroscopy methodology. (Doctoral thesis). <a href=https://hdl.handle.net/10037/19213>https://hdl.handle.net/10037/19213</a>
dc.relation.journalMethods in Ecology and Evolution
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400en_US
dc.titleOne leaf for all: Chemical traits of single leaves measured at the leaf surface using near-infrared reflectance spectroscopyen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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