Estimating soil organic carbon through loss on ignition: effects of ignition conditions and structural water loss

2015 ◽  
Vol 66 (2) ◽  
pp. 320-328 ◽  
Author(s):  
M. J. J. Hoogsteen ◽  
E. A. Lantinga ◽  
E. J. Bakker ◽  
J. C. J. Groot ◽  
P. A. Tittonell
2009 ◽  
Vol 89 (5) ◽  
pp. 603-610 ◽  
Author(s):  
H Sun ◽  
M Nelson ◽  
F Chen ◽  
J Husch

Water loss from soil minerals has been known to cause errors in the determination of soil organic matter when the loss on ignition (LOI) method is used. Unfortunately, no known published studies reliably quantify the range of structural water in the soil. To do this, 15 common reference minerals were analyzed by LOI to obtain their individual water loss. In addition, 14 upland, loamy soil samples and 3 wetland/hydric soil samples with varied mineral contents were analyzed to collect their X-ray powder diffraction spectra. Based upon X-ray spectra peak intensities, the modal abundance of minerals in each soil sample was determined using the RockJock computer program. The resultant modal weight percentages of all identified minerals in each soil sample were then multiplied by the LOI value for each mineral to obtain the mineral structural water loss (SWL) of that soil sample. For the 17 soil samples analyzed, the range of mineral water loss is 0.56 to 2.45%. Depending on the LOI values of the soil samples, the SWL:LOI ratios range from 0.04 to around 1.00. The SWL:LOI ratios are particularly low for top wetland soil when the LOI value is higher. The ratios are lower for surface soil samples than for subsurface soil samples because of the high LOI values in surface soil samples. Understanding soil mineral water loss and its relation to the LOI patterns from various environments is important for the accurate evaluation of soil organic matter when the LOI method is used. Key words: Mineral, structural water, loss on ignition


2002 ◽  
Vol 66 (6) ◽  
pp. 1878-1881 ◽  
Author(s):  
Michael E. Konen ◽  
Peter M. Jacobs ◽  
C. Lee Burras ◽  
Brandi J. Talaga ◽  
Joseph A. Mason

2021 ◽  
Vol 13 (19) ◽  
pp. 11029
Author(s):  
Nerea Ferrando Jorge ◽  
Joanna Clark ◽  
Macarena L. Cárdenas ◽  
Hilary Geoghegan ◽  
Vicky Shannon

Rapid, low-cost methods for large-scale assessments of soil organic carbon (SOC) are essential for climate change mitigation. Our work explores the potential for citizen scientists to gather soil colour data as a cost-effective proxy of SOC instead of conventional lab analyses. The research took place during a 2-year period using topsoil data gathered by citizen scientists and scientists from urban parks in the UK and France. We evaluated the accuracy and consistency of colour identification by comparing “observed” Munsell soil colour estimates to “measured” colour derived from reflectance spectroscopy, and calibrated colour observations to ensure data robustness. Statistical relationships between carbon content obtained by loss on ignition (LOI) and (i) observed and (ii) measured soil colour were derived for SOC prediction using three colour components: hue, lightness, and chroma. Results demonstrate that although the spectrophotometer offers higher precision, there was a correlation between observed and measured colour for both scientists (R2 = 0.42; R2 = 0.26) and citizen scientists (R2 = 0.39; R2 = 0.19) for lightness and chroma, respectively. Foremost, a slightly stronger relationship was found for predicted SOC using the spectrophotometer (R2 = 0.69), and citizen scientists produced comparable results (R2 = 0.58), highlighting the potential of a large-scale citizen-based approach for SOC monitoring.


2020 ◽  
Author(s):  
Caroline Elizabeth Vickery ◽  
◽  
Claire Campbell ◽  
C. Brannon Andersen

Wetlands ◽  
2020 ◽  
Vol 40 (5) ◽  
pp. 1201-1206
Author(s):  
Katherine N. Braun ◽  
Ethan J. Theuerkauf ◽  
Matthew T. Hurtgen ◽  
Andrew L. Masterson ◽  
Daniel E. Horton

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