Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy

Release of carbon from high-latitude soils to the atmosphere may have significant effects on Earth’s climate. In this contribution, we evaluate visible–near-infrared spectroscopy (vis-NIRS) as a time- and cost-efficient tool for assessing soil organic carbon (SOC) concentrations in South Greenland....

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Published in:Arctic, Antarctic, and Alpine Research
Main Authors: M. Ogrič, M. Knadel, S. M. Kristiansen, Y. Peng, L. W. De Jonge, K. Adhikari, M. H. Greve
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis Group 2019
Subjects:
geo
Online Access:https://doi.org/10.1080/15230430.2019.1679939
https://doaj.org/article/c47a6b88a8794e788bfab59b3d8a92e4
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:c47a6b88a8794e788bfab59b3d8a92e4 2023-05-15T14:14:22+02:00 Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy M. Ogrič M. Knadel S. M. Kristiansen Y. Peng L. W. De Jonge K. Adhikari M. H. Greve 2019-01-01 https://doi.org/10.1080/15230430.2019.1679939 https://doaj.org/article/c47a6b88a8794e788bfab59b3d8a92e4 en eng Taylor & Francis Group 1523-0430 1938-4246 doi:10.1080/15230430.2019.1679939 https://doaj.org/article/c47a6b88a8794e788bfab59b3d8a92e4 undefined Arctic, Antarctic, and Alpine Research, Vol 51, Iss 1, Pp 490-505 (2019) soil organic carbon visible–near-infrared spectroscopy subarctic greenland geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2019 fttriple https://doi.org/10.1080/15230430.2019.1679939 2023-01-22T19:11:53Z Release of carbon from high-latitude soils to the atmosphere may have significant effects on Earth’s climate. In this contribution, we evaluate visible–near-infrared spectroscopy (vis-NIRS) as a time- and cost-efficient tool for assessing soil organic carbon (SOC) concentrations in South Greenland. Soil samples were collected at two sites and analyzed with vis-NIRS. We used partial least square regression (PLS-R) modeling to predict SOC from vis-NIRS spectra referenced against in situ dry combustion measurements. The ability of our approach was validated in three setups: (1) calibration and validation data sets from the same location, (2) calibration and validation data sets from different locations, and (3) the same setup as in (2) with the calibration model enlarged with few samples from the opposite target area. Vis-NIRS predictions were successful in setup 1 (R2 = 0.95, root mean square error of prediction [RMSEP] = 1.80 percent and R2 = 0.82, RMSEP = 0.64 percent). Predictions in setup 2 had higher errors (R2 = 0.90, RMSEP = 7.13 percent and R2 = 0.78, RMSEP = 2.82 percent). In setup 3, the results were again improved (R2 = 0.95, RMSEP = 2.03 percent and R2 = 0.77, RMSEP = 2.14 percent). We conclude that vis-NIRS can obtain good results predicting SOC concentrations across two subarctic ecosystems, when the calibration models are augmented with few samples from the target site. Future efforts should be made toward determination of SOC stocks to constrain soil–atmosphere carbon exchange. Article in Journal/Newspaper Antarctic and Alpine Research Arctic Greenland Subarctic Unknown Greenland Arctic, Antarctic, and Alpine Research 51 1 490 505
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic soil organic carbon
visible–near-infrared spectroscopy
subarctic
greenland
geo
envir
spellingShingle soil organic carbon
visible–near-infrared spectroscopy
subarctic
greenland
geo
envir
M. Ogrič
M. Knadel
S. M. Kristiansen
Y. Peng
L. W. De Jonge
K. Adhikari
M. H. Greve
Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy
topic_facet soil organic carbon
visible–near-infrared spectroscopy
subarctic
greenland
geo
envir
description Release of carbon from high-latitude soils to the atmosphere may have significant effects on Earth’s climate. In this contribution, we evaluate visible–near-infrared spectroscopy (vis-NIRS) as a time- and cost-efficient tool for assessing soil organic carbon (SOC) concentrations in South Greenland. Soil samples were collected at two sites and analyzed with vis-NIRS. We used partial least square regression (PLS-R) modeling to predict SOC from vis-NIRS spectra referenced against in situ dry combustion measurements. The ability of our approach was validated in three setups: (1) calibration and validation data sets from the same location, (2) calibration and validation data sets from different locations, and (3) the same setup as in (2) with the calibration model enlarged with few samples from the opposite target area. Vis-NIRS predictions were successful in setup 1 (R2 = 0.95, root mean square error of prediction [RMSEP] = 1.80 percent and R2 = 0.82, RMSEP = 0.64 percent). Predictions in setup 2 had higher errors (R2 = 0.90, RMSEP = 7.13 percent and R2 = 0.78, RMSEP = 2.82 percent). In setup 3, the results were again improved (R2 = 0.95, RMSEP = 2.03 percent and R2 = 0.77, RMSEP = 2.14 percent). We conclude that vis-NIRS can obtain good results predicting SOC concentrations across two subarctic ecosystems, when the calibration models are augmented with few samples from the target site. Future efforts should be made toward determination of SOC stocks to constrain soil–atmosphere carbon exchange.
format Article in Journal/Newspaper
author M. Ogrič
M. Knadel
S. M. Kristiansen
Y. Peng
L. W. De Jonge
K. Adhikari
M. H. Greve
author_facet M. Ogrič
M. Knadel
S. M. Kristiansen
Y. Peng
L. W. De Jonge
K. Adhikari
M. H. Greve
author_sort M. Ogrič
title Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy
title_short Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy
title_full Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy
title_fullStr Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy
title_full_unstemmed Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy
title_sort soil organic carbon predictions in subarctic greenland by visible–near infrared spectroscopy
publisher Taylor & Francis Group
publishDate 2019
url https://doi.org/10.1080/15230430.2019.1679939
https://doaj.org/article/c47a6b88a8794e788bfab59b3d8a92e4
geographic Greenland
geographic_facet Greenland
genre Antarctic and Alpine Research
Arctic
Greenland
Subarctic
genre_facet Antarctic and Alpine Research
Arctic
Greenland
Subarctic
op_source Arctic, Antarctic, and Alpine Research, Vol 51, Iss 1, Pp 490-505 (2019)
op_relation 1523-0430
1938-4246
doi:10.1080/15230430.2019.1679939
https://doaj.org/article/c47a6b88a8794e788bfab59b3d8a92e4
op_rights undefined
op_doi https://doi.org/10.1080/15230430.2019.1679939
container_title Arctic, Antarctic, and Alpine Research
container_volume 51
container_issue 1
container_start_page 490
op_container_end_page 505
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