Wetterlind, J.; Viscarra Rossel, R. A. and Steffens, Markus (2022) Diffuse reflectance spectroscopy characterises the functional chemistry of soil organic carbon in agricultural soils. European Journal of Soil Science, 73 (4), e13263.
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Document available online at: https://bsssjournals.onlinelibrary.wiley.com/doi/10.1111/ejss.13263
Summary
Soil organic carbon (SOC) originates from a complex mixture of organic materials, and to better understand its role in soil functions, one must characterise its chemical composition. However, current methods, such as solid-state 13C nuclear magnetic resonance (NMR) spectroscopy, are time-consuming and expensive. Diffuse reflectance spectroscopy in the visible and infrared regions (vis–NIR: 350–2500 nm; mid-IR: 4000–400 cm-1) can also be used to characterise SOC chemistry; however, it is difficult to know the frequencies where the information occurs. Thus, we correlated the C functional groups from the 13C NMR to the frequencies in the vis–NIR and mid-IR spectra using two methods: 1) 2-dimensional correlations of 13C NMR spectra and the diffuse reflectance spectra, and 2) modelling the NMR functional C groups with the reflectance spectra using support vector machines (validated using 5 times repeated 10-fold cross-validation). For the study, we used 99 mineral soils from the agricultural regions of Sweden. The results show clear correlations between organic functional C groups measured with NMR and specific frequencies in the vis–NIR and mid-IR spectra. While the 2D correlations showed general relationships (mainly related to the total SOC content), analysing the importance of the wavelengths in the SVM models revealed more detail. Generally, models using mid-IR spectra produced slightly better estimates than the vis–NIR. The best estimates were for the alkyl C group (R2 = 0.83 and 0.85, vis–NIR and mid-IR, respectively), and the O/N-alkyl C group was the most difficult to estimate (R2 = 0.34 and 0.38, vis–NIR and mid-IR, respectively). Combining 13CNMR with the cost effective diffuse reflectance methods could potentially increase the number of measured samples and improve the spatial and temporal characterisation of SOC. However, more studies with a wider range of soil types and land management systems are needed to further evaluate the conditions under which these methods could be used.
EPrint Type: | Journal paper |
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Keywords: | soil, organic carbon, Abacus, FiBL10138 |
Agrovoc keywords: | Language Value URI English soil http://aims.fao.org/aos/agrovoc/c_7156 English organic carbon http://aims.fao.org/aos/agrovoc/c_2f82b0a2 |
Subjects: | Soil > Soil quality |
Research affiliation: | Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Soil > Soil fertility Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Soil > Soil quality |
DOI: | 10.1111/ejss.13263 |
Deposited By: | Forschungsinstitut für biologischen Landbau, FiBL |
ID Code: | 44169 |
Deposited On: | 21 Jun 2022 11:52 |
Last Modified: | 01 Mar 2023 08:48 |
Document Language: | English |
Status: | Published |
Refereed: | Peer-reviewed and accepted |
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