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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Online Access: | https://doi.org/10.1080/15230430.2019.1679939 https://doaj.org/article/c47a6b88a8794e788bfab59b3d8a92e4 |
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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 |
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Unknown |
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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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1766286866824298496 |