ub.xmlui.mirage2.page-structure.muninLogoub.xmlui.mirage2.page-structure.openResearchArchiveLogo
    • EnglishEnglish
    • norsknorsk
  • Velg spraakEnglish 
    • EnglishEnglish
    • norsknorsk
  • Administration/UB
View Item 
  •   Home
  • Fakultet for biovitenskap, fiskeri og økonomi
  • Institutt for arktisk og marin biologi
  • Artikler, rapporter og annet (arktisk og marin biologi)
  • View Item
  •   Home
  • Fakultet for biovitenskap, fiskeri og økonomi
  • Institutt for arktisk og marin biologi
  • Artikler, rapporter og annet (arktisk og marin biologi)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content

Permanent link
https://hdl.handle.net/10037/16706
DOI
https://doi.org/10.1038/s41598-019-44558-9
Thumbnail
View/Open
article.pdf (2.092Mb)
Publisher`s version (PDF)
Date
2019-06-04
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Murguzur, Francisco Javier Ancin; Bison, Marjorie; Smis, Adriaan; Bohner, Hanna; Struyf, Eric; Meire, Patrick; Bråthen, Kari Anne
Abstract
Near-infrared spectroscopy (NIRS) is a high-throughput technology with potential to infer nitrogen (N), phosphorus (P) and carbon (C) content of all vascular plants based on empirical calibrations with chemical analysis, but is currently limited to the sample populations upon which it is based. Here we provide a first step towards a global arctic-alpine NIRS model of foliar N, P and C content. We found calibration models to perform well (R2validation = 0.94 and RMSEP = 0.20% for N, R2validation = 0.76 and RMSEP = 0.05% for P and R2validation = 0.82 and RMSEP = 1.16% for C), integrating 97 species, nine functional groups, three levels of phenology, a range of habitats and two biogeographic regions (the Alps and Fennoscandia). Furthermore, when applied for predicting foliar N, P and C content in samples from a new biogeographic region (Svalbard), our arctic-alpine NIRS model performed well. The precision of the resulting NIRS method meet international requirements, indicating one NIRS measurement scan of a foliar sample will predict its N, P and C content with precision according to standard method performance. The modelling scripts for the prediction of foliar N, P and C content using NIRS along with the calibration models upon which the predictions are based are provided. The modelling scripts can be applied in other labs, and can easily be expanded with data from new biogeographic regions of interest, building the global arctic-alpine model.
Description
Source at https://doi.org/10.1038/s41598-019-44558-9.
Publisher
Nature Research
Citation
Murguzur F, Bison M, Smis A, Bohner, Struyf E, Meire P, Bråthen KA. Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content. Scientific Reports. 2019;9(1)
Metadata
Show full item record
Collections
  • Artikler, rapporter og annet (arktisk og marin biologi) [1637]

Browse

Browse all of MuninCommunities & CollectionsAuthor listTitlesBy Issue DateBrowse this CollectionAuthor listTitlesBy Issue Date
Login

Statistics

View Usage Statistics
UiT

Munin is powered by DSpace

UiT The Arctic University of Norway
The University Library
uit.no/ub - munin@ub.uit.no

Accessibility statement (Norwegian only)