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

JOURNAL OF ENVIRONMENTAL MANAGEMENT

卷:193

Article

Madhavan, Dinesh B.¹  Baldock, Jeff A.²  Read, Zoe J.³  Murphy, Simon C.¹  Cunningham, Shaun C.^4,5  Perring, Michael P.^6,7  Herrmann, Tim⁸  Lewis, Tom⁹  Cavagnaro, Timothy R.¹⁰  England, Jacqueline R.^11,12  Paul, Keryn I.^13,14  Weston, Christopher J.¹⁵  Baker, Thomas G.¹ 

[1] Univ Melbourne, Sch Ecosyst & Forest Sci, Richmond, Vic 3121, Australia

[2] CSIRO Agr, Glen Osmond, SA 5064, Australia

[3] Australian Natl Univ, Fenner Sch Environm & Soc, Acton, ACT 2601, Australia

[4] Deakin Univ, Sch Life & Environm Sci, Burwood, Vic 3125, Australia

[5] Univ Canberra, Inst Appl Ecol, Bruce, ACT 2617, Australia

[6] Univ Western Australia, Sch Biol Sci, Crawley, WA 6009, Australia

[7] Univ Ghent, Forest & Nat Lab, BE-9090 Gontrode Melle, Belgium

[8] Dept Environm Water & Nat Resources, Adelaide, SA 5001, Australia

[9] Agrisci Queensland, Dept Agr & Fisheries, Sippy Downs, Qld 4556, Australia

[10] Univ Adelaide, Sch Agr Food & Wine, Waite Campus,PMB 1, Glen Osmond, SA 5064, Australia

[11] CSIRO Agr, Clayton, Vic 3169, Australia

[12] CSIRO Land & Water, Clayton, Vic 3169, Australia

[13] CSIRO Agr, Canberra, ACT 2601, Australia

[14] CSIRO Land & Water, Canberra, ACT 2601, Australia

[15] Univ Melbourne, Sch Ecosyst & Forest Sci, Creswick, Vic 3363, Australia

关键词: C sequestration;    Biodiverse environmental plantings;    Mid-infrared spectroscopy;    Near-infrared spectroscopy;    NMR spectroscopy;    Partial least squares regression;   

DOI  :  10.1016/j.jenvman.2017.02.013

来源: Elsevier

【 摘 要 】

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 C-13 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 (R-2 > 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.(C) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

Free