Section 71
Chapter 70,988

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

Sepahvand, H.; Mirzaeitalarposhti, R.; Beiranvand, K.; Feizian, M.; Mueller, T.

Environmental Pollutants and Bioavailability 31(1): 9-17


ISSN/ISBN: 2639-5932
DOI: 10.1080/09542299.2018.1549961
Accession: 070987088

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.

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