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Title: Evaluation of Three Field-Based Methods for Quantifying Soil Carbon

Abstract

Three advanced technologies to measure soil carbon (C) density (g C m22) are deployed in the field and the results compared against those obtained by the dry combustion (DC) method. The advanced methods are: a) Laser Induced Breakdown Spectroscopy (LIBS), b) Diffuse Reflectance Fourier Transform Infrared Spectroscopy (DRIFTS), and c) Inelastic Neutron Scattering (INS). The measurements and soil samples were acquired at Beltsville, MD, USA and at Centro International para el Mejoramiento del Maiz y el Trigo (CIMMYT) at El Bata´n, Mexico. At Beltsville, soil samples were extracted at three depth intervals (0–5, 5–15, and 15–30 cm) and processed for analysis in the field with the LIBS and DRIFTS instruments. The INS instrument determined soil C density to a depth of 30 cm via scanning and stationary measurements. Subsequently, soil core samples were analyzed in the laboratory for soil bulk density (kg m23), C concentration (g kg21) by DC, and results reported as soil C density (kg m22). Results from each technique were derived independently and contributed to a blind test against results from the reference (DC) method. A similar procedure was employed at CIMMYT in Mexico employing but only with the LIBS and DRIFTS instruments. Following conversion to commonmore » units, we found that the LIBS, DRIFTS, and INS results can be compared directly with those obtained by the DC method. The first two methods and the standard DC require soil sampling and need soil bulk density information to convert soil C concentrations to soil C densities while the INS method does not require soil sampling. We conclude that, in comparison with the DC method, the three instruments (a) showed acceptable performances although further work is needed to improve calibration techniques and (b) demonstrated their portability and their capacity to perform under field conditions.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1063705
Report Number(s):
PNNL-SA-68548
Journal ID: ISSN 1932-6203; KP1702020
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: PLoS ONE; Journal Volume: 8; Journal Issue: 1
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Izaurralde, Roberto C., Rice, Charles W., Wielopolski, Lucien, Ebinger, Michael H., Reeves, James B., Thomson, Allison M., Harris, Ron, Francis, Barry, Mitra, S., Rappaport, Aaron, Etchevers, Jorge, Sayre, Ken D., Govaerts, Bram, and McCarty, G. W.. Evaluation of Three Field-Based Methods for Quantifying Soil Carbon. United States: N. p., 2013. Web. doi:10.1371/journal.pone.0055560.
Izaurralde, Roberto C., Rice, Charles W., Wielopolski, Lucien, Ebinger, Michael H., Reeves, James B., Thomson, Allison M., Harris, Ron, Francis, Barry, Mitra, S., Rappaport, Aaron, Etchevers, Jorge, Sayre, Ken D., Govaerts, Bram, & McCarty, G. W.. Evaluation of Three Field-Based Methods for Quantifying Soil Carbon. United States. doi:10.1371/journal.pone.0055560.
Izaurralde, Roberto C., Rice, Charles W., Wielopolski, Lucien, Ebinger, Michael H., Reeves, James B., Thomson, Allison M., Harris, Ron, Francis, Barry, Mitra, S., Rappaport, Aaron, Etchevers, Jorge, Sayre, Ken D., Govaerts, Bram, and McCarty, G. W.. Thu . "Evaluation of Three Field-Based Methods for Quantifying Soil Carbon". United States. doi:10.1371/journal.pone.0055560.
@article{osti_1063705,
title = {Evaluation of Three Field-Based Methods for Quantifying Soil Carbon},
author = {Izaurralde, Roberto C. and Rice, Charles W. and Wielopolski, Lucien and Ebinger, Michael H. and Reeves, James B. and Thomson, Allison M. and Harris, Ron and Francis, Barry and Mitra, S. and Rappaport, Aaron and Etchevers, Jorge and Sayre, Ken D. and Govaerts, Bram and McCarty, G. W.},
abstractNote = {Three advanced technologies to measure soil carbon (C) density (g C m22) are deployed in the field and the results compared against those obtained by the dry combustion (DC) method. The advanced methods are: a) Laser Induced Breakdown Spectroscopy (LIBS), b) Diffuse Reflectance Fourier Transform Infrared Spectroscopy (DRIFTS), and c) Inelastic Neutron Scattering (INS). The measurements and soil samples were acquired at Beltsville, MD, USA and at Centro International para el Mejoramiento del Maiz y el Trigo (CIMMYT) at El Bata´n, Mexico. At Beltsville, soil samples were extracted at three depth intervals (0–5, 5–15, and 15–30 cm) and processed for analysis in the field with the LIBS and DRIFTS instruments. The INS instrument determined soil C density to a depth of 30 cm via scanning and stationary measurements. Subsequently, soil core samples were analyzed in the laboratory for soil bulk density (kg m23), C concentration (g kg21) by DC, and results reported as soil C density (kg m22). Results from each technique were derived independently and contributed to a blind test against results from the reference (DC) method. A similar procedure was employed at CIMMYT in Mexico employing but only with the LIBS and DRIFTS instruments. Following conversion to common units, we found that the LIBS, DRIFTS, and INS results can be compared directly with those obtained by the DC method. The first two methods and the standard DC require soil sampling and need soil bulk density information to convert soil C concentrations to soil C densities while the INS method does not require soil sampling. We conclude that, in comparison with the DC method, the three instruments (a) showed acceptable performances although further work is needed to improve calibration techniques and (b) demonstrated their portability and their capacity to perform under field conditions.},
doi = {10.1371/journal.pone.0055560},
journal = {PLoS ONE},
number = 1,
volume = 8,
place = {United States},
year = {Thu Jan 31 00:00:00 EST 2013},
month = {Thu Jan 31 00:00:00 EST 2013}
}