Prediction of soil carbon levels in calcareous soils of Iran by mid-infrared reflectance spectroscopy

The objective of this study was to assess the predictive performance of midDRIFTS-PLSR models in quantifying total carbon (TC), total organic carbon (TOC), total inorganic carbon (TIC), total nitrogen (TN), hot water extractable carbon and nitrogen (C HWE , N HWE ), pH, and the clay, silt, and sand...

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Bibliographic Details
Published in:Environmental pollutants & bioavailability 2019-01, Vol.31 (1), p.9-17
Main Authors: Sepahvand, Hanyeh, Mirzaeitalarposhti, Reza, Beiranvand, Kianoush, Feizian, Mohammad, Müeller, Torsten
Format: Article
Language:English
Subjects:
Algorithms
Analytical methods
Calcareous soils
Calibration
Carbon
Clay
Cost analysis
Environmental monitoring
independent
Inorganic carbon
Mathematical models
midDRIFTS
Nitrogen
Organic carbon
Performance prediction
predict
Reflectance
Sandy soils
soil carbon
Soil properties
Total organic carbon
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Summary:The objective of this study was to assess the predictive performance of midDRIFTS-PLSR models in quantifying total carbon (TC), total organic carbon (TOC), total inorganic carbon (TIC), total nitrogen (TN), hot water extractable carbon and nitrogen (C HWE , N HWE ), pH, and the clay, silt, and sand content of soils. A total of 68 soil samples were taken across an agroecological region in southwest Iran, and analyzed in the laboratory using mid-DRIFTS-PLSR. midDRIFTS-PLSR calibration models were developed, and external validation was performed for each of the soil properties via an independent algorithm. The calibration and validation models allowed for a sufficient prediction of TC, TIC, and TOC with residual prediction deviations ≥3 and R 2 values >0.9. The precise prediction ofcarbon fractions, such as TC, TIC, and TOC, in a rapid and inexpensive manner confirmed that midDRIFTS analysis was a rapid-throughput and cost-effective technique for monitoring soil carbon at the regional scale.
ISSN:2639-5932
2639-5940
DOI:10.1080/09542299.2018.1549961