About Us | Help Videos | Contact Us | Subscriptions

Soil Science Society of America Journal : Just Published


Accepted, edited articles are published here after author proofing to provide rapid publication and better access to the newest research. Articles are compiled into issues at dl.sciencesocieties.org/publications/sssaj, which includes the complete archive.

Citation | Articles posted here are considered published and may be cited by the doi.

Nouwakpo, S. K. and C.-H. Huang. 2012. A Fluidized Bed Technique for Estimating Soil Critical Shear Stress Soil Sci. Soc. Am. J. doi:10.2136/sssaj2012.0056

Current issue: Soil Sci. Soc. Am. J. 82(3)


    • Yili Lu, Xiaona Liu, Meng Zhang, Joshua Heitman, Robert Horton and Tusheng Ren
      Summary of Thermo–Time Domain Reflectometry Method: Advances in Monitoring In Situ Soil Bulk Density
      Core Ideas:
      • Thermo-TDR technology is used for obtaining soil bulk density.
      • Soil water content and thermal properties are monitored simultaneously.
      • Bulk density is estimated by using thermal property models.

      Published: May 10, 2018
      [ Preview (PDF) ]  [ Full Text ]  [ PDF ]  [ Figures Only ]  [ Get Permissions ]


    • Luca Mazzei, Valquiria Broll and Stefano Ciurli
      An Evaluation of Maleic-Itaconic Copolymers as Urease Inhibitors

      Urea hydrolysis in soil is accelerated 1015–fold by the nickel-dependent enzyme urease to yield a source of N that can be assimilated by plants. This reaction determines an overall soil pH increase and significant ammonia volatilization, decreasing the efficiency of urea-based fertilization. A control of urease activity is thus required for agronomic purposes. Maleic-Itaconic Polymers (MIPs) have been claimed to decrease the N loss as ammonia volatilization by inhibiting urease activity. (continued)

      Core Ideas:
      • Maleic-Itaconic Polymers (MIPs) strongly and rapidly inactivate urease at pH 5.0.
      • MIPs favour the release of the essential Ni(II) ions from the active site of urease.
      • The urease inactivation by MIPs is comparable with that attained using NBPT.

      Published: May 10, 2018


    • Ren-Min Yang and Wen-Wen Guo
      Exotic Spartina alterniflora Enhances the Soil Functions of a Coastal Ecosystem

      Coastal soils are recognized as a valuable global resource because of their important roles in maintaining ecosystem services, especially C storage. Exotic species often have negative impacts on biodiversity but less is known about their potential benefits for soil function. We investigated impacts of Spartina alterniflora Loisel. on soil functions (based on basic chemical and physical properties) related to soil depth on a coastline of the East China Sea. (continued)

      Core Ideas:
      • Exotic species do not always have negative impacts on soils.
      • Changes in soil functions were identified after the introduction of .
      • The basic functionality of soils could be enhanced by new species in areas that do not have native plants.
      • The study highlights the potential benefits of non-native plants for coastal soils.

      Published: May 17, 2018

    • Zhaosheng Fan, Skye A. Wills, Jeffrey E. Herrick, Travis W. Nauman, Colby W. Brungard, Dylan E. Beaudette, Matthew R. Levi and Anthony T. O’Geen
      Approaches for Improving Field Soil Identification

      Use of soil survey information by non-soil-scientists is often limited by their inability to select the correct soil map unit component (COMP). Here, we developed two approaches that can be deployed to smartphones for non-soil-scientists to identify COMP from the location alone or location together with easily observed field data (i. e. , slope, depth to the restrictive layer, and soil texture by depth). (continued)

      Core Ideas:
      • The traditional dominant-component-based approach is not reliable for identifying soils.
      • We developed two approaches that can be used to identify soils with mobile devices.
      • A small set of easily collected field data could greatly improve soil identification.

      Published: May 17, 2018

    • Wei-Bo Nie, Yi-Bo Li, Ye Liu and Xiao-Yi Ma
      An Approximate Explicit Green–Ampt Infiltration Model for Cumulative Infiltration

      Accurately estimating soil moisture infiltration information contributes to scientific understanding of the one-dimensional (1D) vertical infiltration process. Because of its simple form, the Green–Ampt (GA) model has been extensively employed to simulate soil infiltration processes. However, the GA model is an implicit solution that must be solved through iterative techniques, and thus is inconvenient. Therefore, based on the two-parameter infiltration equation proposed by Valiantzas, by adding an error term and non-dimensional numerical analysis, this study proposes an approximate explicit Green–Ampt model (EGA model) for estimating cumulative infiltration with a determined power function expression for the error term. (continued)

      Core Ideas:
      • Proposed an explicit Green–Ampt model (EGA model) to estimate cumulative 1D vertical infiltration.
      • The form of error term ε is determined as a power-function through non-dimensional numerical analysis.
      • The EGA model is reliable for estimation the cumulative infiltration for a variety of soil textures.

      Published: May 10, 2018


    • Shimeng Peng, Pei Wang, Lanfang Peng, Tao Cheng, Weimin Sun and Zhenqing Shi
      Predicting Heavy Metal Partition Equilibrium in Soils: Roles of Soil Components and Binding Sites

      The reactivity and bioavailability of heavy metals in soils are controlled by their binding to reactive soil components, including soil organic matter (SOM), metal (hydr)oxides, and clay minerals. In this study, we specifically investigated how soil components and SOM binding sites controlled metal partition at various chemistry conditions. We used the Windermere Humic Aqueous Model (WHAM 7) to predict the solid-solution partition and speciation of Cd, Cu, Ni, Pb, and Zn based on compiled literature data including 98 soil samples from five continents. Based on the root-mean-square-error (RMSE) values of logarithm of dissolved metal concentrations between model predictions and experimental results, WHAM 7 reasonably predicted metal partition equilibrium over a wide range of reaction conditions, with RMSE less than 0. (continued)

      Core Ideas:
      • WHAM 7 successfully predicted heavy metal partition in various soils.
      • Major soil and solution parameters influenced the accuracy of model predictions.
      • Soil organic matter dominated metal binding at most acidic to neutral pH in soils.
      • WHAM 7 predicted bidentate binding as the dominant form of metal complexes.

      Published: May 17, 2018

    • Manisha Dolui, Sudipta Rakshit, Michael E. Essington and Grégory Lefèvre
      Probing Oxytetracycline Sorption Mechanism on Kaolinite in a Single Ion and Binary Mixtures with Phosphate using In Situ ATR-FTIR Spectroscopy

      The presence of co-adsorbing ions can influence antibiotic retention behavior on mineral surfaces. Thus, a thorough evaluation of antibiotic sorption mechanisms in single ion and in competitive sorption systems is essential to predict antibiotic fate and behavior in the environment. Molecular level understanding of these sorption mechanisms is possible by using in situ attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR). This tool can identify detailed surface interactions of the functional groups of antibiotics with soil minerals. (continued)

      Core Ideas:
      • Oxytetracycline retention on kaolinite in the presence of phosphate was evaluated.
      • Advanced in situ ATR-FTIR spectroscopic probe revealed detailed interaction mechanism.
      • Both oxytetracycline and phosphate bonded on kaolinite via an inner-sphere mechanism.
      • Sorption increased for oxytetracycline and phosphate as pH and the initial concentration increased.
      • Phosphate did not influence oxytetracycline adsorption.

      Published: May 17, 2018


    • Haly L. Neely, Cristine L.S. Morgan, Kevin J. McInnes and Christine C. Molling
      Modeling Soil Crack Volume at the Pedon Scale using Available Soil Data

      A critical gap in hydrology knowledge is predicting the partition of runoff and infiltration during rainfall events in shrink-swell soils with desiccation cracks. Knowledge of surface cracking and crack volume is needed, but field measurements of these vertical soil cracks are time and labor intensive, and the results cannot be easily translated to another location. Our approach to predict soil crack volume at the pedon-scale uses an existing soil shrinkage model, which has been modified to include soil water content and the coefficient of linear extensibility (COLE). To validate the model, measurements of soil layer thickness, water content, and crack volume were made for seven soils with COLE values from 0. (continued)

      Core Ideas:
      • Desiccation cracks make runoff and infiltration predictions difficult in expansive soils.
      • A crack-volume model based on water content and soil properties was developed.
      • Crack volume was measured in situ using digital photography of excavated soil layers.
      • The new model improved crack volume estimates over a model based on layer thickness.

      Published: May 24, 2018

    • Xiuling Yu, Guanyun Peng and Shenggao Lu
      Characterizing Aggregate Pore Structure by X-Ray Micro-Computed Tomography and a Network Model

      Information about the influence of intra-aggregate pore structure on functions and properties of soil aggregates is not fully available or predictable. In this study, the microscale intra-aggregate pore structure of four soils (Mollisol, Alfisol, Ultisol, and Vertisol) was studied by a synergistic use of synchrotron-based X-ray micro-computed tomography (SR-mCT) and advanced analytical data methods. Detailed characteristics of the connected and isolated pores of four soils were investigated by a pore network model, a network analysis, and a pore map analysis, respectively. Results indicated that total porosity and the connected/isolated porosity ratio (C/I) could describe the possible function of the soil aggregates. (continued)

      Core Ideas:
      • Function-related intra-aggregate pore structures were investigated for four soils.
      • The network properties of a connected pore system were analyzed.
      • The C/I ratio has potential to predict the functions and properties of aggregates.
      • Spatial variation of the isolated pores affects the potential water retention ability.

      Published: May 10, 2018