Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content (doi:10.18710/CXRCUW)

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

doi:10.18710/CXRCUW

DataverseNO

2019-05-27

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Ancin Murguzur, Francisco Javier; Bison, Marjorie; Smis, Adriaan; Böhner, Hanna; Struyf, Eric; Meire, Patrick; Bråthen, Kari Anne, 2019, "Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content", https://doi.org/10.18710/CXRCUW, DataverseNO, V1

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

doi: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)

Ancin Murguzur, Francisco Javier

Bison, Marjorie

Smis, Adriaan

Böhner, Hanna

Struyf, Eric

Bråthen, Kari Anne

Meire, Patrick

Kaino, Sissel

Lindgård, Bente

Reiersen, Rigmor

UiT The Arctic University of Norway

DataverseNO

UiT The Arctic University of Norway

Bråthen, Kari Anne

Bøhner, Hanna

2019-05-22

https://doi.org/10.18710/CXRCUW

Earth and Environmental Sciences, vascular plant leaves, functional groups, phenological stages, biogeographic regions, cost efficient methodology, partial least squares

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.<br><br>

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.

Norway, France, Svalbard and Jan Mayen

Finnmark, Bauges Mountains, Savoie, Adventdalen

Murguzur, F.J.A., Bison, M., Smis, A. et al. Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content. Scientific Reports 9, 8259 (2019). https://doi.org/10.1038/s41598-019-44558-9

10.1038/s41598-019-44558-9

Murguzur, F.J.A., Bison, M., Smis, A. et al. Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content. Scientific Reports 9, 8259 (2019). https://doi.org/10.1038/s41598-019-44558-9

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00_ReadMe.txt

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Carbon .zip

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Data and scripts for C calibration and prediction

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Nitrogen .zip

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Data and scripts for N calibration and prediction

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Phosphorus .zip

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Data and scripts for P calibration and prediction

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