Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging

Abstract Subsoil organic carbon (OC) is generally lower in content and more heterogeneous than topsoil OC, rendering it difficult to detect significant differences in subsoil OC storage. We tested the application of laboratory hyperspectral imaging with a variety of machine learning approaches to pr...

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Autores principales:	Eleanor Hobley, Markus Steffens, Sara L. Bauke, Ingrid Kögel-Knabner
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Hyperspectral Imaging Soil Organic Carbon (SOC) Plow Horizon Soil Cores Subsoil Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cad5d2614eec4001a62be9e382adf939
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spelling	oai:doaj.org-article:cad5d2614eec4001a62be9e382adf9392021-12-02T15:09:04ZHotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging10.1038/s41598-018-31776-w2045-2322https://doaj.org/article/cad5d2614eec4001a62be9e382adf9392018-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-31776-whttps://doaj.org/toc/2045-2322Abstract Subsoil organic carbon (OC) is generally lower in content and more heterogeneous than topsoil OC, rendering it difficult to detect significant differences in subsoil OC storage. We tested the application of laboratory hyperspectral imaging with a variety of machine learning approaches to predict OC distribution in undisturbed soil cores. Using a bias-corrected random forest we were able to reproduce the OC distribution in the soil cores with very good to excellent model goodness-of-fit, enabling us to map the spatial distribution of OC in the soil cores at very high resolution (~53 × 53 µm). Despite a large increase in variance and reduction in OC content with increasing depth, the high resolution of the images enabled statistically powerful analysis in spatial distribution of OC in the soil cores. In contrast to the relatively homogeneous distribution of OC in the plough horizon, the subsoil was characterized by distinct regions of OC enrichment and depletion, including biopores which contained ~2–10 times higher SOC contents than the soil matrix in close proximity. Laboratory hyperspectral imaging enables powerful, fine-scale investigations of the vertical distribution of soil OC as well as hotspots of OC storage in undisturbed samples, overcoming limitations of traditional soil sampling campaigns.Eleanor HobleyMarkus SteffensSara L. BaukeIngrid Kögel-KnabnerNature PortfolioarticleHyperspectral ImagingSoil Organic Carbon (SOC)Plow HorizonSoil CoresSubsoilMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Hyperspectral Imaging Soil Organic Carbon (SOC) Plow Horizon Soil Cores Subsoil Medicine R Science Q
spellingShingle	Hyperspectral Imaging Soil Organic Carbon (SOC) Plow Horizon Soil Cores Subsoil Medicine R Science Q Eleanor Hobley Markus Steffens Sara L. Bauke Ingrid Kögel-Knabner Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging
description	Abstract Subsoil organic carbon (OC) is generally lower in content and more heterogeneous than topsoil OC, rendering it difficult to detect significant differences in subsoil OC storage. We tested the application of laboratory hyperspectral imaging with a variety of machine learning approaches to predict OC distribution in undisturbed soil cores. Using a bias-corrected random forest we were able to reproduce the OC distribution in the soil cores with very good to excellent model goodness-of-fit, enabling us to map the spatial distribution of OC in the soil cores at very high resolution (~53 × 53 µm). Despite a large increase in variance and reduction in OC content with increasing depth, the high resolution of the images enabled statistically powerful analysis in spatial distribution of OC in the soil cores. In contrast to the relatively homogeneous distribution of OC in the plough horizon, the subsoil was characterized by distinct regions of OC enrichment and depletion, including biopores which contained ~2–10 times higher SOC contents than the soil matrix in close proximity. Laboratory hyperspectral imaging enables powerful, fine-scale investigations of the vertical distribution of soil OC as well as hotspots of OC storage in undisturbed samples, overcoming limitations of traditional soil sampling campaigns.
format	article
author	Eleanor Hobley Markus Steffens Sara L. Bauke Ingrid Kögel-Knabner
author_facet	Eleanor Hobley Markus Steffens Sara L. Bauke Ingrid Kögel-Knabner
author_sort	Eleanor Hobley
title	Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging
title_short	Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging
title_full	Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging
title_fullStr	Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging
title_full_unstemmed	Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging
title_sort	hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/cad5d2614eec4001a62be9e382adf939
work_keys_str_mv	AT eleanorhobley hotspotsofsoilorganiccarbonstoragerevealedbylaboratoryhyperspectralimaging AT markussteffens hotspotsofsoilorganiccarbonstoragerevealedbylaboratoryhyperspectralimaging AT saralbauke hotspotsofsoilorganiccarbonstoragerevealedbylaboratoryhyperspectralimaging AT ingridkogelknabner hotspotsofsoilorganiccarbonstoragerevealedbylaboratoryhyperspectralimaging
_version_	1718387965820928000

Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging

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