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Rapid prediction of particulate, humus and resistant fractions of soil organic carbon in reforested lands using infrared spectroscopy

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Madhavan, D. B., Baldock, J. A., Read, Z. J., Murphy, S. C., Cunningham, S. C., Perring, M. P., Herrmann, T., Lewis, T., Cavagnaro, T. R., England, J. R., Paul, K. I., Weston, C. J. and Baker, T. G. (2017) Rapid prediction of particulate, humus and resistant fractions of soil organic carbon in reforested lands using infrared spectroscopy. Journal of Environmental Management, 193 . pp. 290-299. ISSN 0301-4797

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Article Link: http://dx.doi.org/10.1016/j.jenvman.2017.02.013


Reforestation of agricultural lands with mixed-species environmental plantings can effectively sequester C. While accurate and efficient methods for predicting soil organic C content and composition have recently been developed for soils under agricultural land uses, such methods under forested land uses are currently lacking. This study aimed to develop a method using infrared spectroscopy for accurately predicting total organic C (TOC) and its fractions (particulate, POC; humus, HOC; and resistant, ROC organic C) in soils under environmental plantings. Soils were collected from 117 paired agricultural-reforestation sites across Australia. TOC fractions were determined in a subset of 38 reforested soils using physical fractionation by automated wet-sieving and 13C nuclear magnetic resonance (NMR) spectroscopy. Mid- and near-infrared spectra (MNIRS, 6000–450 cm−1) were acquired from finely-ground soils from environmental plantings and agricultural land. Satisfactory prediction models based on MNIRS and partial least squares regression (PLSR) were developed for TOC and its fractions. Leave-one-out cross-validations of MNIRS-PLSR models indicated accurate predictions (R2 > 0.90, negligible bias, ratio of performance to deviation > 3) and fraction-specific functional group contributions to beta coefficients in the models. TOC and its fractions were predicted using the cross-validated models and soil spectra for 3109 reforested and agricultural soils. The reliability of predictions determined using k-nearest neighbour score distance indicated that >80% of predictions were within the satisfactory inlier limit. The study demonstrated the utility of infrared spectroscopy (MNIRS-PLSR) to rapidly and economically determine TOC and its fractions and thereby accurately describe the effects of land use change such as reforestation on agricultural soils.

Item Type:Article
Business groups:Horticulture and Forestry Science
Keywords:C sequestration Biodiverse environmental plantings Mid-infrared spectroscopy Near-infrared spectroscopy NMR spectroscopy Partial least squares regression
Subjects:Technology > Technology (General) > Spectroscopy > NIR (Near Infrared)
Agriculture > Agriculture (General) > Soils. Soil science
Agriculture > Agriculture (General) > Soils. Soil science > Soil chemistry
Agriculture > Agriculture (General) > Agricultural conservation
Technology > Technology (General) > Spectroscopy
Live Archive:03 Aug 2017 04:02
Last Modified:03 Sep 2021 16:51

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