Soil total carbon analysis in Hawaiian soils with visible, near-infrared and mid-infrared diffuse reflectance spectroscopy

McDowell, M. L.; Bruland, Gregory L.; Deenik, Jonathan; Grunwald, Sabine; Knox, Nichola M.

doi:10.1016/j.geoderma.2012.06.009

Cited by 102 publications

(64 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The cups and box were placed on an aluminium plate, which was positioned on an XY-positioning table of the spectrometer (Leue et al, 2010). 32 internal scans with four replicates of the subsamples were recorded with a DRIFT device of the BioRad FTS 135 (BioRad Corp, Hercules, CA) in a range of wavenumber from 4 000 to 400 cm -1 each spectra and corrected against ambient air as background (McDowell et al, 2012). The DRIFT spectra were recorded with a resolution of 4 cm -1 and 16 scans (16 repetitions of single spectra) (Ellerbrock and Kaiser, 2005).…”

Section: Methodsmentioning

confidence: 99%

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Voelkner¹,

Holthusen²,

Ellerbrock³

et al. 2015

International Agrophysics

View full text Add to dashboard Cite

Anaerobic digestates are used as organic fertilizers; however, they are suspected to interfere negatively with soils. To investigate the relevance of the anaerobic digestates composition on potential wettability and contact angle of the soil, we mixed in a laboratory experiment 30 m³ ha-1 of anaerobic digestates derived from mechanically pre-treated substrates from maize and sugar beet with a homogenized Cambic Luvisol. Fourier transform infrared-spectra and diffuse reflectance infrared Fourier transform-spectra of particle intact and finely ground soilanaerobic digestates-mixtures were analyzed to determine the quantities of hydrophobic functional groups in the soil-anaerobic digestates-mixtures that are used here as an indicator for the potential hydrophobicity. The anaerobic digestates application increased the amount of hydrophobic functional groups of the mixtures and reduced the wettability of the soil. However, for intact particle samples an up to threefold higher amount of hydrophobic groups was found as compared to the finely ground ones, indicating a dilution effect of mechanical grinding on the effectivity of the organic matter that is presumably located as a coating on mineral soil particles. For the particle intact samples, the intensity of hydrophobic functional groups bands denoting hydrophobic brickstones in organic matter is indicative for the actual wettability of the soil-anaerobic digestates-mixtures.

show abstract

Section: Methodsmentioning

confidence: 99%

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Voelkner¹,

Holthusen²,

Ellerbrock³

et al. 2015

International Agrophysics

View full text Add to dashboard Cite

show abstract

“…1a-1d). Clay and pH showed large differences in the fingerprint region (600-1500 cm -1 ) where primary minerals show features, caused for example by O-Si-O stretching and bending important in characterizing quartz, and in the X-H stretching region (2500-4000 cm -1 ) corresponding to differences in clay mineralogy (Janik et al, 1995;Nguyen et al, 1991;McDowell et al, 2012;Viscarra Rossel et al, 2006). Phosphorus sorption index effects were mostly confined to the X-H stretching region, in response to presence of 1:1 clay minerals and Al and Fe oxyhydroxides.…”

Section: Statistical Description Of Datamentioning

confidence: 99%

Mid-Infrared and Total X-Ray Fluorescence Spectroscopy Complementarity for Assessment of Soil Properties

Towett

Shepherd

Sila

et al. 2015

Soil Science Society of America Journal

View full text Add to dashboard Cite

Diffuse reflectance Fourier transformed mid-infrared (DRIFT-MIR) spectroscopy can predict many soil properties but extractable nutrients are often predicted poorly. This paper tested the combined DRIFT-MIR and total X-ray fluorescence (TXRF) spectroscopy analysis for prediction of soil properties related to soil fertility. A total of 700 soil samples from 44 stratified randomly located 100-km 2 sentinel sites distributed across Sub-Saharan Africa (SSA) were analyzed for physicochemical composition using conventional reference methods, and compared with MIR and TXRF spectra using Random Forests (RF) regression algorithm and an internal out-of-bag (OOB) validation. Mid-infrared spectra resulted in good prediction models (R 2 > 0.80) for organic C and total N, Mehlich-3 Ca and Al, and pH. Moderately predicted (R 2 > 0.60) were extractable Mg, P sorption index, sand, silt, and clay. Models were less satisfactory (R 2 < 0.60) for Mehlich-3 extractable K, Mn, Fe, Cu, B, Zn, P, S, and Na, exchangeable acidity and electrical conductivity (Ecd). Inclusion of total element concentration data from TXRF analysis in the MIR RF models significantly reduced root mean square error of prediction by 70% for Ecd, 66% for Mehlich-3 Na, 61% for Mehlich-3 S, and 50% for Mehlich-3 B due to detection by TXRF of some saline soils that were not well predicted by MIR. Overall, both methods predicted soil properties that relate to nutrient buffering capacity, including some exchangeable bases, pH, P sorption capacity, clay content, and organic matter content, and fingerprint basic soil mineralogy. Thus, further research should test whether MIR and TXRF fingerprinting could better predict soil nutrient supply capacity, as determined by crop nutrient uptake potential, than conventional soil P, K and micronutrient tests.

show abstract

“…According to [42], the MIR region of the soil spectrum possesses a number of features greater and better defined than the spectra taken in the VNIR region. The main characteristic that can be observed in all soils is the sudden fall that occurs between the 4000 and 3600 cm −1 .…”

Section: Spectral Characteristics Of Soilsmentioning

confidence: 99%

Effect of Soil Use and Coverage on the Spectral Response of an Oxisol in the VIS-NIR-MIR Region

Martín-López

Quintero-Arias

2017

J. Imaging

View full text Add to dashboard Cite

Abstract:In this study, the spectral responses obtained from a Typic Red Hapludox (oxisol) were analyzed under different uses and occupations: Ficus elastica cultivation, Citrus + Arachis association cultivation, transitional crops, forest, Mangifera indica, Anacardium occidentale, Elaeis guineensis (18 years), Brachiaria decumbens, Brachiaria brizantha, and Musa × paradisiaca + Zea mays at the La Libertad Research Center in the department of Meta in Colombia (4 • 04 North latitude, 73 • 30 West longitude, 330 MAMSL). Sampling was performed with four random replicates of the horizon A and B to determine the contents of organic carbon (CO), pH, exchangeable acidity (Ac. I), cation exchange capacity (Cc), P, Ca, Mg, K, Na, sand, lime, and clay and spectral responses were obtained in the visible band (VIS), near infrared (NIR), and infrared (MIR) for each sample under laboratory conditions. A comparison was made between the obtained spectra, determining the main changes in soil properties due to their use and coverage. Variation of soil characteristics such as color, organic carbon content, presence of ferrous compounds, sand, silt, and clay content and mineralogy allow the identification of the main spectral changes of soils, demonstrating the importance of the use of reflectance spectroscopy as a tool of comparison and estimation between physical-chemical properties of the soils.

show abstract

Soil total carbon analysis in Hawaiian soils with visible, near-infrared and mid-infrared diffuse reflectance spectroscopy

Cited by 102 publications

References 42 publications

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Quantity of Hydrophobic Functional CH-Groups – Decisive for Soil Water Repellency Caused by Digestate Amendment

Mid-Infrared and Total X-Ray Fluorescence Spectroscopy Complementarity for Assessment of Soil Properties

Effect of Soil Use and Coverage on the Spectral Response of an Oxisol in the VIS-NIR-MIR Region

Contact Info

Product

Resources

About