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Assessing the microclimate of the soil surface is essential for understanding and predicting the biological, chemical, and physical processes occurring there. These probes provide powerful opportunities to monitor microclimate at the very surface layer of the soil profile and are therefore valuable for assessments of biological activity occurring in the top few millimeters of the soil11,12. These probes were developed and refined to assess controls over biological soil crust activity because temperature and moisture in biocrust can be critical to its function2,8,10,12,15. However, while these probes were developed for photosynthetic soils in drylands, there is strong potential for implementing them in a wide range of systems, as well as to assess how temperature and moisture vary along soil depth profiles. For example, these sensors have been deployed in a tropical forest warming experiment to ascertain how warming treatments and natural variation in climate interact to determine covariations in soil processes, temperature, and moisture.
Nevertheless, there are some key considerations before implementing soil surface sensors. For example, calibration curves must be developed to convert units of resistance to more commonly used metrics of soil moisture, such as GWC. The soil surface sensor measures resistance between the metal prongs and outputs conductance (the inverse of resistance) values in Siemens (1/Ohm). Thus, conversion from Siemens to soil moisture must be performed. A number of chemical and physical properties of the soil substrate can affect the relationship between the sensor's conductance readings in Siemens and soil moisture. It is therefore critical to conduct substrate-specific calibrations to convert probe readings to soil moisture values. Calibration data from three substrates demonstrating these differences are shown.
Figure 6 depicts dry down calibration data for two samples each of three soil substrates, each with its own probe. Substrates were saturated fully until a small amount of water was visible at the surface. Probe resistances and soil weights were measured every 15 min until all samples were dry. Soil mass was subsequently used to calculate GWC. Figure 6 shows regressions of conductance and GWC for each sample. The substrates used for these calibrations include silt loam soils (23% sand, 64% silt, and 13% clay) collected at an experimental field station in El Yunque National Forest, Puerto Rico; moss-dominated biocrusts collected near Castle Valley, Utah; and fine sand soil (92% sand, 3% silt, and 5% clay) from experimental warming plots near Moab, Utah.
The need for substrate-specific sensor calibrations is demonstrated by the variation in probe conductance and soil moisture for each substrate. For example, the regressions for the silt loam soil samples (Figure 6a) were distinct from the other two soil substrates. Therefore, applying the regression equation of the silt loam soil to moss biocrust, or vice versa, would lead to dramatically different values. On the other hand, the relationship between GWC and probe resistances for the fine sand soil (Figure 6c) and moss biocrust (Figure 6b) were similar. However, the fine sand soil was not able to hold as much water as the moss and correspondingly experienced much faster drying. As there is variation within substrates, it is important to have a large enough sample size to produce an accurate calibration curve and to create individual calibration curves for all sites.
In an experimental setting, these soil surface sensors were used to evaluate the treatment effects of a climate manipulation study near Moab, Utah, USA. This study used infrared lamps to increase ambient temperature of plots by 4 °C at the same location and with similar methods described by Wertin et al.17. Figure 7 shows average temperature and GWC from heated and control plots for two separate rain events that occurred in early May 2018. Average temperatures in the warmed plots were consistently higher than average temperatures of the control plots (Figure 7a). Over the course of these two rain events the resistivity sensors in the heated plots registered less soil moisture than the controls and the heated plots dried more quickly (Figure 7b). It should be noted that increases in temperature can lead to higher conductivity of soils that must be accounted for19. The sensitivity of both the temperature and moisture components of these soil surface sensors allowed us to not only observe temperature differences of the warming treatment but also how it affected moisture dynamics in the plots.
The interactions of temperature and moisture were further investigated in an observational study using these soil surface sensors to analyze the timing of moisture availability to biocrusts during freeze-thaw conditions on the Colorado Plateau, USA. Sensors were placed into the top 5 mm of biocrusts that were composed primarily of the moss Syntrichia caninervis, and surface temperature and moisture were recorded during the months of January and February 2018. When temperatures were below 0 °C, moisture at the surface of the moss was frozen, and the sensor output conductance values corresponded to 0% GWC (Figure 8). However, as temperatures exceeded 0 °C, the frost melted at the moss surface and the liquid water registered on the resistivity sensor. In this instance, concurrent measurements of temperature and moisture showed how the variables interacted to potentially affect biological processes of organisms existing at the soil surface.

Figure 1: Biocrusted interspaces on the Colorado Plateau, USA. In many desert ecosystems the spaces between plants are often covered with biocrust communities composed of lichens, mosses, and cyanobacteria. Two soil temperature and moisture sensors were placed into the surface of moss biocrust. Please click here to view a larger version of this figure.

Figure 2: Clipping the eight-prong terminal strip. The gold-plated terminal strip is oriented with the top curved prongs facing away. The prongs are numbered 1 through 8, starting on the left and moving right. Prongs 2, 4, and 7 are cut flush with the bottom of the black plastic. Prongs 3, 5, and 6 are cut at 5 mm below the black plastic. Prong 3 stabilizes the arc-welded thermocouple wires, while resistance is measured between prongs 5 and 6. These function as the soil moisture sensor. Prongs 1 and 8 serve as holdfasts in the soil. Please click here to view a larger version of this figure.

Figure 3: Finished sensor head. The modified sensor head and thermocouple cable are covered with liquid electrical tape. It is important to keep prongs 5 and 6 (the moisture sensor) clean and not coated with liquid electrical tape to ensure there is no contamination that would affect resistance measurements. Please click here to view a larger version of this figure.

Figure 4: Calibration sensor head. The four-prong terminal strip is soldered to the wires so that it faces away from the modified sensor head. Moisture seal heat shrink is fixed in place close to the terminal strips to prevent crosstalk between the wires. Please click here to view a larger version of this figure.

Figure 5: Calibration container and sensor head. The four-prong terminal strip is taped to the container and oriented so that it can easily be connected to a two-prong socket strip. This placement allows the sensor head to be placed into the cut slit and fixed into the substrate of interest. Please click here to view a larger version of this figure.

Figure 6: Sensor calibrations for three soil substrates. Calculated gravimetric water content (GWC) percentages, determined by measuring soil mass during substrate dry-down, were compared with soil sensor conductance values from the probes (measured in Siemens). Data shown are for two samples from each of three distinct soil substrates. Soil substrates were (a) a silt loam soil, (b) a moss biocrust, and (c) a fine sand soil. (a) The relationship of GWC and conductance values in predominantly silt loam soils was best represented by a power regression. (b) A strong linear relationship of GWC and sensor conductance was observed for biocrusts dominated by the moss Syntrichia caninervis. (c) A linear regression best represented the relationship between GWC and sensor conductance measurements in fine sand soils. At high GWC values the conductance values diverge from the calibration curve, indicating a potential limitation of the sensors when soils are saturated. Please click here to view a larger version of this figure.

Figure 7: Temperature and gravimetric water content with field infrared warming treatments. Hourly average surface temperature and GWC recorded at 10-min intervals in 5 warmed and 5 control plots over 4 days. Data are from a global change experiment in a semi-arid steppe ecosystem on the Colorado Plateau, USA17. Data show that soil surface sensors captured treatment effects. (a) Average temperatures at the soil surface were consistently higher in the warmed plots. (b) The effects of warming were also apparent in the GWC values, showing that warmed plot soils maintained faster drying times. Please click here to view a larger version of this figure.

Figure 8: Moss biocrust temperature and gravimetric water content during frost events. Average surface temperature and GWC of four replicates of Syntrichia caninervis moss biocrusts recorded at 10-min intervals from 9:50 AM January 24, 2018 to 11:20 AM January 25, 2018. Nighttime hours are represented in the grey shaded area and daytime hours in the unshaded areas. When water was frozen in the form of frost on the moss surface, there was no conductance measured by the sensor. Thus, the GWC was 0. Freezing conditions occurred shortly after nightfall as soil temperature dropped below 0 °C. Thawing occurred shortly after sunrise as temperatures rose above 0 °C, when the frost melted, and the liquid water was detected by the sensors. These results demonstrate the effectiveness of the sensors at distinguishing liquid water and ice, which may have important implications for a range of biological processes. Please click here to view a larger version of this figure.