10.18710/CXRCUW
Ancin Murguzur, Francisco Javier(UiT The Arctic University of Norway)Bison, Marjorie(University of Savoy Mont Blanc)Smis, Adriaan(University of Antwerp)Böhner, Hanna(UiT The Arctic University of Norway)Struyf, Eric(University of Antwerp)Meire, Patrick(University of Antwerp)Bråthen, Kari Anne(UiT The Arctic University of Norway)
Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
DataverseNO
2019
doi:10.18710/CXRCUW/8QANYWdoi:10.18710/CXRCUW/QCXIL3doi:10.18710/CXRCUW/5N0QG0doi:10.18710/CXRCUW/MTWX1F
Here we provide a first step towards a global arctic-alpine NIRS model of foliar N, P and C content integrating 97 species, nine functional groups, three levels of phenology, a range of habitats and two biogeographic regions (the Alps and Fennoscandia). 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.
Bråthen, Kari Anne(UiT The Arctic University of Norway)UiT The Arctic University of Norway