This article features a simple evaporation experiment using a hydraulic property instrument for a soil sample. Through efficient means, measurements can be taken over a series of days to generate high-quality data.
The measurement of soil hydraulic properties is critical in understanding the physical components of soil health as well as integrated knowledge of soil systems under various management practices. Collecting reliable data is imperative for informing decisions that affect agriculture and the environment. The simple evaporation experiment described here uses instrumentation in a laboratory setting to analyze soil samples collected in the field. The soil water tension of the sample is measured by the instrument, and tension data is modeled by software to return soil hydraulic properties. This method can be utilized to measure soil water retention and hydraulic conductivity and give insight into differences in treatments or environmental dynamics over time. Initial establishment requires a user, but data acquisition is automated with the instrument. Soil hydraulic properties are not easily measured with traditional experiments, and this protocol offers a simple and optimal alternative. Interpretation of results and options for extending the data range are discussed.
Soil water retention and hydraulic conductivity within natural and human-altered environments help us understand and observe changes in soil health and functionality. Quantifying hydraulic properties through the soil water retention curve (SWRC) and soil water conductivity curve offers insight into key drivers of soil physical behavior and water movement characterization1. The relationship between volumetric water content (θ) and matric head (h) is represented within an SWRC, and the ranges within the curve describe the saturation point, field capacity, and permanent wilting point2. Soil management practices, amendments, agroecosystem types, and environmental conditions can all have an impact on soil hydraulics3,4. These factors can in turn influence solute transport5 and plant available water6, soil respiration and microbial activity7, as well as wetting and drying cycles8. As an important piece in quantifying healthy and functioning soil, proper analysis of the SWRC is imperative for obtaining an informed understanding of soil hydraulic properties.
A variety of measurement techniques currently exist for developing a reliable SWRC, with the hanging-water column and pressure plate methods being common traditional approaches for determining the pore size distribution of soil2. Traditional methods can be time-consuming, usually taking weeks or months to analyze a small set of samples9. Moreover, once analysis is complete, these methods result in only a few data points that inform the SWRC9. Additionally, the accuracy of producing representative data using traditional methods such as pressure plates can become a concern at lower matric potentials, in particular, with fine-textured soils10,11. More modern techniques, which involve the simple evaporation experiment approach using tensiometers and the chilled-mirror dew point method, tend to deliver more reproducible data across a wide range of soil textures2. Initially developed by Wind in 1968, the simple evaporation experiment involved measuring water mass changes and tension changes through tensiometers in the soil sample over time12. As evaporation occurs, soil sample mass measurements are taken at specific time intervals to create an SWRC. Later refined by Schindler (1980), the method involved only two tensiometers placed at different pressure heads within the soil sample. The modified method was then tested and validated as capable of being used in scientific analysis13,14. A key benefit of the simple evaporation experiment is the potential to easily produce data across a large portion of the soil moisture curve (0 to -300 kPa), with more data points than with traditional methods.
These modern methods involve automated instruments that take numerous data points throughout the sample analysis period and produce data using a software interface. The hydraulic property instrument is a contemporary instrument that creates water retention curves and conductivity curves from sample data15. By employing a simple evaporation experiment using the hydraulic property instrument, the relationship between water content and water potential in the soil can be evaluated1. In this experiment, water present within the tensiometer shaft exists in an equilibrium with water in the soil solution. As evaporation of soil water occurs and the soil sample dries, cavitation takes place in the tensiometer, and the experiment ends. There is a limitation of the hydraulic property instrument in the dry range of the SWRC, as the instrument is only capable of operating within matric potentials of 0 to -100 kPa. This can be remedied with the inclusion of data generated with a chilled-mirror dew point experiment using a soil water potential instrument16, which can extend the data range to -300,000 kPa or the permanent wilting point. All these data are brought together in the modeling software post processing to cohesively inform the SWRC from null tensions to higher tensions even beyond wilting point. The SWRC and hydraulic conductivity curves are then generated based on matric potential data points taken throughout the measurement period, allowing a complete curve projected from saturation to permanent wilting point to be generated.
The method described here presents a succinct operating procedure for soil analysis with a hydraulic property instrument. This method has been conducted in a number of scientific settings, including quantification of soil health in a broad range of agroecosystems3,17,18,19, and efforts have been made to understand best practices beyond the instrument user manual20. Here, a standardized protocol is outlined for all steps of the procedure, including field sampling, sample preparation, software function, and data processing. Following this method will ensure a successful campaign that results in reliable data. Critical steps for ensuring quality data, common challenges, and best practices are presented to ensure proper implementation.
1. Soil sampling and sample preparation
NOTE: A schematic diagram of the workflow of this method can be found in Figure 1.
2. Sensor unit and tensiometer establishment
3. Initiating a campaign
4. System campaign termination
5. Data analysis
Upon completing a proper measurement campaign following the protocol above, it will be possible to view the data output of the experiment in the analysis software. Output curves originate from tensiometer readings that measure water tension (hPa) over time (t), and the initial curve of this data is generated immediately after termination of the campaign. Selected examples of tension curves of two soil samples can be examined to illustrate optimal and suboptimal results (Figure 2). Optimal results should have an output curve containing a clear cavitation and air entry point, so as best to inform a SWRC. If there is no clear cavitation and air entry point, the data can still be used but the SWRC becomes less accurate and more postprocessing within the software is required.
The analysis software contains multiple models that users can employ to analyze tension measurements21,22,23,24. In most cases, the van Genutchen/Mualem model is an effective choice for data; however, users have the option to select the model that best suits their data15. The software then applies this model to the tension curve, and modeled curves become available in the output tab. Water retention, θ(h), and unsaturated hydraulic conductivity K(h) or K(θ) are all generated by the modeling software, where θ is the volumetric water content, K the hydraulic conductivity, and h the matric potential14. A representative example of the SWRC and hydraulic conductivity data output can be seen in Figure 3. Output data that are fit with the van Genutchen/Maulem model can be seen in Figure 4.
The resulting output curve informs the modeled output curves which are the basis of many soil descriptive and hydraulic data. Mainly, the SWRC is generated from the initial data from this method, but other parameters such as porosity, bulk density, saturated water content, and field capacity of the sample soil can be extrapolated from these data. Results (Figure 4) can be compared to understand soil properties that are present and compare across treatments.
Figure 1: Workflow overview. Preparation of both the soil sample and hydraulic property instrument is necessary for executing the protocol. Arrows indicate the workflow sequence, beginning with sample and instrument preparation and ending with data analysis and sample post-processing. Please click here to view a larger version of this figure.
Figure 2: Examples of optimal and suboptimal tension curves. (A) Optimal curve: regular measurement occurs, cavitation is reached, and tension in the tensiometer shaft abruptly drops to ambient pressure. Air entry occurs at ~ 700 hPa for both curves, and the measurements are stopped shortly after. (B) Suboptimal curve: regular measurement occurs and cavitation is reached, but tension in the tensiometer shaft does not abruptly drop and it is difficult to discern where the air entry phase has begun. This curve could still inform a soil water retention curve by using manual adjustment during data post processing, but it is less accurate than (A). Please click here to view a larger version of this figure.
Figure 3: Output curves from software. Soil water retention and hydraulic conductivity curves as displayed in the software before any model has been applied. (A) Soil water retention curve, and (B,C) hydraulic conductivity curves as they appear in the analysis software once sample analysis is complete. Please click here to view a larger version of this figure.
Figure 4: Output curves with applied model. Figure 4 output data can be fit to a model within the instrument software. Here the modeled data are shown; (A) Soil water retention curve, and (B,C) hydraulic conductivity curves with van Genuchten-Mualem model applied to data. Root Mean Square Error (A) 0.4%, (B) 7.09%. Please click here to view a larger version of this figure.
The simple evaporation experiment approach using the method that is described here is an efficient means to develop the SWRC and hydraulic conductivity curves. Simplicity and accuracy of data measurement make it a viable alternative to more traditional methods14. The method described here goes beyond the user manual and current literature to synthesize and expand on finer points of this intricate instrument. Particular attention needs to be paid to the soil sample collection, transport, and analysis processes to generate high quality data. When taking a sample, the soil within the metal core should remain undisturbed. The metal core should remain level throughout hammering to avoid vibrations or tilting that can disturb the soil, and the sample handled carefully throughout transportation.
Additionally, it is necessary to meticulously limit the amount of air that enters each part of the instrument system. Output tension curves will likely be reduced in their accuracy if air has been unintentionally introduced. There are many steps throughout assembling and executing this method that go beyond manufacturer’s recommendations with the aim of eliminating opportunity for air to enter the system. Such nuances include the utilization of degassed water, modified tensiometer refilling procedure, and continual re-application of water in soil sample saturation. It is vital to ensure that any water used in the experiment has been properly degassed, tensiometers have been refilled correctly, and that tensiometer ports in the sensor unit have no bubbles or air pockets within them. These are critical points to diligently observe in the protocol for enabling campaign success.
The measurement campaign is complete after cavitation when the air entry point is reached. This will appear as a sharp peak followed by tension readings rapidly declining to zero for both tensiometers on the measurement curve, as displayed in Figure 2. Following the measurement period and during data analysis, user modifications can be made to increase output data accuracy. For instance, within the data processing software, start, stop, and air entry points can be manually adjusted according to visual inspection and user discretion if there are obvious issues in the tension curve. There may be major fluctuations at the start of a measurement campaign as tensiometers begin taking readings, and water evaporation has not yet begun. This data noise can be easily removed at the post processing stage by moving the start line further right in the software interface. Further, if the tensiometer readings for cavitation have a plateau rather than a sharp peak, it may be difficult for the software to automatically discern where cavitation begins and ends. This challenge can be remedied by moving both the stop top and stop bottom line to scale locations points that capture a wide enough change in slope to indicate cavitation. Likewise, air entry points can be adjusted in a similar fashion, as they can be moved to the end of the plateau portion of the curve, ensuring that the proper portion of the data domain is being captured by the software.
Fewer data points towards the dry range of the SWRC generated from the hydraulic property instrument can create inaccuracies when applying models to the data. This situation can be augmented by incorporating other sources of data covering the dry range of water retention. Additional data points can be supplemented by analyzing the same soil samples with the soil water potential instrument and then manually inputting these points to the analysis software. The additional data increase the validity of estimates in the dry range and are relatively easy to use. Combining data from both instruments can become valuable if the research goal is concerned with the whole range of soil moisture retention. Further information about the soil water potential instrument operation, applicability of these measurements, and integration with the hydraulic property instrument can be found in existing literature2,16,17,25.
Soil water retention and hydraulic conductivity curves provide an important characterization of the physical and unsaturated hydraulic properties of a soil sample. Across all disciplines within environmental, agricultural, and of soil sciences, land management practices that change physical and hydraulic properties of soil can have a lasting effect on soil health3,17. Quantifying soil metrics and indicators within soil research and monitoring can help create a better awareness of the true effects of contrasting management practices on soil. Understanding properties such as field capacity, plant available water, pore size distribution, and water conductivity further an informed conclusion about preferable soil management practices for soil health26. Increasing the use of robust methods as described here can contribute to deepen and harmonize a unified body of knowledge concerning the paramount impacts of contrasting soil management options across a broad range of land systems.
The authors have nothing to disclose.
The authors gratefully acknowledge the financial support provided by the Canadian Foundation for Innovation (John Evans Leadership Fund) in the acquisition of the hydraulic property analyser instrument.
4 L Buchner Flasks (two) | Various | n/a | Containers for water degassing |
20 mL Syringe, fine tip | BD | BD-302830 | |
Coffee filter | Various | n/a | Prevents soil travel out of core while soaking |
HYPROP Complete Set | Hoskin | 110813/E240-M020210 | tensiometer shaft auger, tube for vacuum syringe and refilling adapter, auger guide, HYPROP USB adapter, HYPROP sensor unit, tensiometer shafts (50 mm and 25 mm), saturation plate, refilling adapter, silicone gasket, set of o-rings, LABROS balance, software, cables |
HYPROP Refill Unit | Hoskin | 108899/ E240-M020258 | vacuum pump, vacuum mount, beaker mount, refilling adapters |
Large Plastic Tubs | Various | n/a | Holds water and soil cores during saturation |
METER hammering holder | Hoskin | 100255/E240-100201 | |
Rubber Mallet | Home Depot | 18CT1031 | Sample collection tool used with hammering holder |
Shovel | Home Depot | 83200 | |
Soil Sampling Ring incl. 2 caps | Hoskin | 100254/E240-100101 | |
Stir plate/ Stirring Bar | Various | n/a | |
Trowel | Home Depot | 91365 |
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