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Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging

Hobley, Eleanor; Steffens, Markus; Bauke, Sara L. and Kögel-Knabner, Ingrid (2018) Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging. Scientific Reports, 8 (13900), pp. 1-13.

[thumbnail of hobley-etal-2018-ScientificReports-Vol8-article13900-p1-17.pdf] PDF - English

Document available online at: https://www.nature.com/articles/s41598-018-31776-w


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.

EPrint Type:Journal paper
Keywords:organic carbon storage
Subjects: Soil
Research affiliation: Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Soil
Germany > University of Munich - TUM
Deposited By: Forschungsinstitut für biologischen Landbau, FiBL
ID Code:34485
Deposited On:12 Feb 2019 19:49
Last Modified:13 Jan 2021 07:20
Document Language:English
Refereed:Peer-reviewed and accepted

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