A 1915–2011 microscale record of soil organic matter under wheat cultivation using FTIR-PAS depth-profiling

Du, Changwen; Goyne, Keith W.; Miles, Randall J.; Zhang, Jianmin

doi:10.1007/s13593-013-0201-6

Cited by 26 publications

(19 citation statements)

References 37 publications

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“…Du et al. () identified three different layers ( ca . 100 µm thick) for OM in bulk soil using Fourier transform infrared photoacoustic spectroscopy.…”

Section: Experimental Evidence Of the Multilayer Modelmentioning

confidence: 99%

The multilayer model of soil mineral–organic interfaces—a review

Gao

Mikutta

Jansen

et al. 2019

J. Plant Nutr. Soil Sci.

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Association of organic matter (OM) with minerals is an important pathway in the formation of stable OM in soil. While the importance of mineral-organic associations (MOA) in regulating soil carbon cycling has been rigorously demonstrated by empirical evidence, knowledge about the molecular-scale arrangement of OM at mineral surfaces is still lacking. Such knowledge is urgently needed to disentangle the mechanisms of long-term storage of soil OM. Based on indirect observations regarding the formation, composition, and structure of MOA, a conceptual multilayer model was proposed by Kleber et al. in 2007 to foster debate and help elucidating the structure and reactivity of MOA. According to this model, the associated OM at mineral surfaces is discrete and self-organized into a multilayer structure. In this review, we aim to collect and evaluate existing studies that used this model to explain biogeochemical processes at mineral-organic interfaces, and based on this, assess the applicability of the model. The multilayer model has seen extensive adoption within soil science and related fields. In general, existing studies either support the concept of a patchy distribution of adsorbed OM on mineral surfaces or advocate that OM can be coprecipitated with nanosized poorly crystalline minerals or hydrolysable metals. However, the evidence for the patchy distribution of adsorbed OM cannot support the multilayer model on its own. There is little consensus about the role of N-rich OM in forming the contact zone according to the multilayer model but surface conditioning by different classes of organic compounds appears to be an essential factor for the overall adsorption of OM. Nevertheless, large uncertainty still remains with respect to multilayer-like organization of MOA. By taking advantage of recent developments in surface analytical sciences and computational chemistry, a rigid experimental testing of the multilayer model at the molecular level is still required and awaits to be integrated into improved concepts of MOA formation and OM stabilization.

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“…Du et al. () identified three different layers ( ca . 100 µm thick) for OM in bulk soil using Fourier transform infrared photoacoustic spectroscopy.…”

Section: Experimental Evidence Of the Multilayer Modelmentioning

confidence: 99%

The multilayer model of soil mineral–organic interfaces—a review

Gao

Mikutta

Jansen

et al. 2019

J. Plant Nutr. Soil Sci.

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“…Soil organic carbon is known to be prone to modifications by agronomic activities, which affect both the quantity and quality of its pools (Weil et al 2003;Du et al 2014). The much greater rate of biomass retention on the ground surface under the stubble retention treatment-~0.8 Mg ha −1 dry matterthan that under the stubble grazing treatment-~0.3 Mg ha −1 dry matter-was expected to generate considerable differences in soil quality and crop yields between these treatments.…”

Section: Stubble Management Effects On Crop Yields and Soil Organic Cmentioning

confidence: 99%

“…First and foremost, it was expected to result in a difference in the soil's concentration of total organic carbon (Ryan et al 2008a;Barsotti et al 2013) and labile organic carbon. This is due to the anticipated close relationship between the rate of stubble retention and the input of organic residue into the soil matrix (Du et al 2014). Also, the greater total soil organic carbon is anticipated to improve the soil quality, increasing potential net primary productivity.…”

Section: Stubble Management Effects On Crop Yields and Soil Organic Cmentioning

confidence: 99%

“…Among the relevant management practices, the on-site retention of crop residue is one of the most important (Bell et al 2011). The effect of crop residue clearing from the ground surface has been widely reported to decrease pools of soil organic carbon (Wang et al 2005;Du et al 2014), and increase vulnerability to raindrop impact, resulting in the formation of mechanical crusts (Paul et al 2013), and diminished water infiltrability and soil moisture content (Govaerts et al 2007). Tillage action has been reported in many studies to cause deformation of the soil structure, and to exacerbate oxidation of soil organic carbon (Stavi and Lal 2013).…”

Section: Introductionmentioning

confidence: 99%

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No adverse effect of moderate stubble grazing on soil quality and organic carbon pool in dryland wheat agro-ecosystems

Stavi

Barkai

Islam³

et al. 2015

Agron. Sustain. Dev.

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Stubble grazing by livestock in post-harvest wheat fields is a common practice. Current knowledge usually shows that grazing has negative effects on soil quality. Therefore, here, we studied the stubble grazing impact on soil quality and crop yields of continuous wheat croplands in the semiarid northern Negev of Israel. These croplands have experienced the same stubble residue management, meaning, moderate grazing or entire retention, for 18 consecutive years. Cropland soils were also compared with soils of natural lands. Vegetation and 0-10 cm depth soils were sampled in 2013. Results reveal that overall soil quality was generally similar between the two wheat treatments. Moreover, results show that soil under stubble grazing treatment has greater carbon pool index and carbon management index than soil under stubble retention treatment. These findings suggest that the disturbance of soil organic carbon pool is smaller for stubble grazing, contrary to current knowledge. We propose a conceptual model to explain such findings.

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“…Fourier transform infrared photoacoustic spectroscopy has been used to identify soil types and evaluate soil organic matter, nitrogen, phosphorus, potassium and calcium carbonate contents (Du & Zhou, ). Moreover, PAS is unique for its use in‐depth profiling of soils at the micrometre scale, which facilitates chemical characterization at differing depths (Du et al ., ).…”

Section: Introductionmentioning

confidence: 97%

Investigation of soil properties using different techniques of mid‐infrared spectroscopy

Zhang

Shen

2018

European J Soil Science

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Summary Diffuse reflectance spectroscopy (DRF), attenuated total reflectance spectroscopy (ATR) and Fourier transform infrared photoacoustic spectroscopy (PAS) are useful techniques that are commonly used to characterize soil properties. Here, these techniques were used to evaluate individual properties of 1456 paddy soil samples from Nanjing, China, to explore their features in the mid‐infrared range. The diffuse reflectance spectroscopy showed broad and shouldered peaks that ranged from 4000 to 500 cm−1. Attenuated total reflectance spectroscopy produced main peaks around 1000 cm−1. Fourier transform infrared photoacoustic spectroscopy spectra showed several moderate intensity peaks in the regions of 4000–2600 and 2500–500 cm−1. The effective variables (wavenumbers) were selected using an uninformative variable elimination (UVE) algorithm to predict soil pH, and soil organic matter (SOM), total nitrogen (TN) and available phosphorus (AP) contents; it used a self‐adaptive partial least squares model (SAM–PLS). The results showed that selected wavenumbers improved the accuracy of prediction for pH, and SOM, TN and AP contents. For the prediction of pH, ATR spectra showed marginally better performance than the other spectra. The DRF spectroscopy was the optimal method for SOM and TN prediction. Available phosphorus contents were predicted poorly by all three spectra. Furthermore, mid‐infrared incident light paths, absorption modes, sensing styles, as well as peak interference and the prediction model, were the main factors that affected the assessment of soil properties in the three types of spectroscopy. Highlights Soil spectra data were measured with DRF, ATR and PAS spectrometers over the range 4000–500 cm−1. A UVE algorithm was used to select effective wavenumbers from the full spectrum. The pH, SOM, TN and AP were estimated using three techniques based on a SAM–PLS model. Mid‐infrared incident light paths and absorption modes affected prediction performance of the three techniques.

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A 1915–2011 microscale record of soil organic matter under wheat cultivation using FTIR-PAS depth-profiling

Cited by 26 publications

References 37 publications

The multilayer model of soil mineral–organic interfaces—a review

The multilayer model of soil mineral–organic interfaces—a review

No adverse effect of moderate stubble grazing on soil quality and organic carbon pool in dryland wheat agro-ecosystems

Investigation of soil properties using different techniques of mid‐infrared spectroscopy

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