Evaluation of optical techniques for characterising soil organic matter quality in agricultural soils
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- 作者：M.L. Ferná ; ndez-Romeroa ; a52ferom@uco.es" class="auth_mail" title="E-mail the corresponding author ; fdezmarialuisa@gmail.com" class="auth_mail" title="E-mail the corresponding author ; J.M. Clarkb ; C.D. Collinsb ; L. Parras-Alcá ; ntaraa ; B. Lozano-Garcí ; aa
- 关键词：SOM ; soil organic matter ; NMR ; nuclear magnetic resonance ; FI ; fluorescence index ; CWC ; cold-water extractable carbon ; HWC ; hot-water extractable carbon ; LOI ; loss of ignition ; DOM ; dissolved organic matter ; DOC ; dissolved organic carbon ; EEM ; excitation&ndash ; emission matrix ; GS-UK ; soil with a grass cover ; United Kingdom ; CC-UK ; cereal crops from United Kingdom ; CC-ES ; cereal crops from Spain ; OG-ES ; olive grove from Spain ; HIX ; humification index ; BIX ; biological/autochthonous index ; RU ; Rama
- 刊名：Soil & Tillage Research
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：155
- 期：Complete
- 页码：450-460
- 全文大小：1049 K
文摘
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SUVA-254 and HWC were able to predict the aromatic fraction measured with 1H NMR.
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Accurate regression models were produced to predict the aromatic fraction using SUVA-254 and HWC.
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FI did not offer the same correlation with the specific aromatic fraction measured with 1H NMR.
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The removal of an outlier led to a significantly high correlation between FI and the specific aromatic fraction.