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

Madhavan, Dinesh B. and Baldock, Jeff A. and Read, Zoe J. and Murphy, Simon C. and Cunningham, Shaun C. and Perring, Michael P. and Herrmann, Tim and Lewis, Tom and Cavagnaro, Timothy R. and England, Jacqueline R. and Paul, Keryn I. and Weston, Christopher J. and Baker, Thomas 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(s): http://dx.doi.org/10.1016/j.jenvman.2017.02.013

Abstract

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
Deposited On:03 Aug 2017 04:02
Last Modified:03 Aug 2017 04:02

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