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Mid-infrared spectroscopy for rapid assessment of soil properties after land use change from pastures to Eucalyptus globulus plantations

Citation

Madhavan, DB and Kitching, M and Mendham, DS and Weston, CJ and Baker, TG, Mid-infrared spectroscopy for rapid assessment of soil properties after land use change from pastures to Eucalyptus globulus plantations, Journal of Environmental Management, 175 pp. 67-75. ISSN 0301-4797 (2016) [Refereed Article]

Copyright Statement

2016 Elsevier Ltd. All rights reserved.

DOI: doi:10.1016/j.jenvman.2016.03.032

Abstract

There is an increasing demand for rapid and cost effective techniques to accurately measure the effects of land use change on soil properties. This study evaluated the ability of mid-infrared spectroscopy (MIRS) coupled with partial least squares regression (PLSR) to rapidly predict soil properties affected by land use change from agriculture (mainly pasture) to Eucalyptus globulus plantations in south-western Australia. We measured total organic carbon (TOC), total nitrogen (Total N), TOC/Total N (C/N ratio), microbial biomass carbon (MBC), microbial biomass nitrogen (MBN), and total phosphorus (Total P). The PLSR calibration models were developed using mid-infrared (MIR) spectra (4000 to 450 cm−1) and square root transformed measured soil data (n = 180) from 23 paired pasture and E. globulus plantation sites representing the soils and climate of E. globulus plantation estates in south-western Australia. The calibration models for TOC, Total N, C/N ratio and Total P showed excellent correlations between measured and predicted data with coefficient of determination (R2) exceeding 0.91 and minimum root-mean-square error (RMSE) of calibration [TOC (R2 = 0.95, RMSE = 0.36), Total N (R2 = 0.96, RMSE = 0.10), C/N ratio (R2 = 0.92, RMSE = 0.14) and Total P (R2 = 0.91, RMSE = 0.06)]. The calibration models had reasonable predictions for MBC (R2 = 0.66, RMSE = 0.07) and MBN (R2 = 0.63, RMSE = 0.06). The calibrated models were validated using soils from 8 independent paired pasture and E. globulus sites (n = 64). The validated predictions were excellent for TOC (R2 = 0.92, RMSE = 0.40) and Total N (R2 = 0.91, RMSE = 0.12), but less so for C/N ratio (R2 = 0.80, RMSE = 0.35), MBC (R2 = 0.70, RMSE = 0.08) and Total P (R2 = 0.75, RMSE = 0.12). The results demonstrate the potential of MIRS-PLSR to rapidly, accurately and simultaneously determine several properties in land use change affected soils.

Item Details

Item Type:Refereed Article
Keywords:partial least squares regression, total organic carbon, soil nitrogen, microbial biomass, calibration model, forest plantation
Research Division:Agricultural and Veterinary Sciences
Research Group:Forestry Sciences
Research Field:Forestry Management and Environment
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Integration of Farm and Forestry
Author:Mendham, DS (Mr Daniel Mendham)
ID Code:117100
Year Published:2016
Web of Science® Times Cited:4
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2017-05-31
Last Modified:2017-10-27
Downloads:0

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