Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions
Abstract Soil water repellency (SWR) is a common phenomenon across agricultural soils of South Greenland that can negatively affect soil functions. Existing methods to measure SWR as a function of water content ( w ) are laborious. This study was conducted to compare the potential of visible–near‐in...
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crwiley:10.1002/saj2.20407 2024-06-02T08:07:24+00:00 Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions Blaesbjerg, Natasha H. Weber, Peter L. de Jonge, Lis Wollesen Moldrup, Per Greve, Mogens H. Arthur, Emmanuel Knadel, Maria Hermansen, Cecilie 2022 http://dx.doi.org/10.1002/saj2.20407 https://onlinelibrary.wiley.com/doi/pdf/10.1002/saj2.20407 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/saj2.20407 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Soil Science Society of America Journal volume 86, issue 3, page 643-657 ISSN 0361-5995 1435-0661 journal-article 2022 crwiley https://doi.org/10.1002/saj2.20407 2024-05-03T11:20:02Z Abstract Soil water repellency (SWR) is a common phenomenon across agricultural soils of South Greenland that can negatively affect soil functions. Existing methods to measure SWR as a function of water content ( w ) are laborious. This study was conducted to compare the potential of visible–near‐infrared spectroscopy (vis–NIRS) as an alternative method to pedotransfer functions (PTFs) for predicting four SWR indices in 143 agricultural soils from South Greenland (clay, 0.016–0.172 kg kg –1 organic carbon (OC), 0.009–0.241 kg kg –1 ). Pedotransfer functions were established by multiple linear regression based on OC, clay, and pH. Partial least squares regression (PLS‐R) and interval PLS‐R were applied to build vis–NIRS prediction models (vis–NIR range 400–2,500 nm). The area under the SWR– w curve (SWR area ) and the critical soil water content ( w non ) were accurately predicted by PTFs ( R 2 = .90; R 2 adj = .91) while the SWR after 60 °C pretreatment (SWR 60 ), and the integrative repellency dynamic index (IRDI) were predicted less accurately ( R 2 adj = .36; R 2 adj = .27). Vis‐NIRS models with variable selection performed at a better or close to the same level of accuracy as PTFs (SWR area , R 2 = .88; w non , R 2 = .90; SWR 60 , R 2 = .63; IRDI, R 2 = .54). This study demonstrated vis–NIRS as a valuable alternative to PTFs for rapid assessment of SWR and as a tool for SWR mitigation for farmers in South Greenland. The results may well apply to other regions with similar texture and OC ranges, but further testing is required. Article in Journal/Newspaper Greenland greenlandic Wiley Online Library Greenland Soil Science Society of America Journal 86 3 643 657 |
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English |
description |
Abstract Soil water repellency (SWR) is a common phenomenon across agricultural soils of South Greenland that can negatively affect soil functions. Existing methods to measure SWR as a function of water content ( w ) are laborious. This study was conducted to compare the potential of visible–near‐infrared spectroscopy (vis–NIRS) as an alternative method to pedotransfer functions (PTFs) for predicting four SWR indices in 143 agricultural soils from South Greenland (clay, 0.016–0.172 kg kg –1 organic carbon (OC), 0.009–0.241 kg kg –1 ). Pedotransfer functions were established by multiple linear regression based on OC, clay, and pH. Partial least squares regression (PLS‐R) and interval PLS‐R were applied to build vis–NIRS prediction models (vis–NIR range 400–2,500 nm). The area under the SWR– w curve (SWR area ) and the critical soil water content ( w non ) were accurately predicted by PTFs ( R 2 = .90; R 2 adj = .91) while the SWR after 60 °C pretreatment (SWR 60 ), and the integrative repellency dynamic index (IRDI) were predicted less accurately ( R 2 adj = .36; R 2 adj = .27). Vis‐NIRS models with variable selection performed at a better or close to the same level of accuracy as PTFs (SWR area , R 2 = .88; w non , R 2 = .90; SWR 60 , R 2 = .63; IRDI, R 2 = .54). This study demonstrated vis–NIRS as a valuable alternative to PTFs for rapid assessment of SWR and as a tool for SWR mitigation for farmers in South Greenland. The results may well apply to other regions with similar texture and OC ranges, but further testing is required. |
format |
Article in Journal/Newspaper |
author |
Blaesbjerg, Natasha H. Weber, Peter L. de Jonge, Lis Wollesen Moldrup, Per Greve, Mogens H. Arthur, Emmanuel Knadel, Maria Hermansen, Cecilie |
spellingShingle |
Blaesbjerg, Natasha H. Weber, Peter L. de Jonge, Lis Wollesen Moldrup, Per Greve, Mogens H. Arthur, Emmanuel Knadel, Maria Hermansen, Cecilie Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions |
author_facet |
Blaesbjerg, Natasha H. Weber, Peter L. de Jonge, Lis Wollesen Moldrup, Per Greve, Mogens H. Arthur, Emmanuel Knadel, Maria Hermansen, Cecilie |
author_sort |
Blaesbjerg, Natasha H. |
title |
Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions |
title_short |
Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions |
title_full |
Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions |
title_fullStr |
Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions |
title_full_unstemmed |
Water repellency prediction in high‐organic Greenlandic soils: Comparing vis–NIRS to pedotransfer functions |
title_sort |
water repellency prediction in high‐organic greenlandic soils: comparing vis–nirs to pedotransfer functions |
publisher |
Wiley |
publishDate |
2022 |
url |
http://dx.doi.org/10.1002/saj2.20407 https://onlinelibrary.wiley.com/doi/pdf/10.1002/saj2.20407 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/saj2.20407 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland greenlandic |
genre_facet |
Greenland greenlandic |
op_source |
Soil Science Society of America Journal volume 86, issue 3, page 643-657 ISSN 0361-5995 1435-0661 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/saj2.20407 |
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Soil Science Society of America Journal |
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86 |
container_issue |
3 |
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643 |
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657 |
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1800752473479053312 |