Soil & Water Res., 2017, 12(3):152-160 | DOI: 10.17221/9/2016-SWR

Evaluating soil water content data monitored at different locations in a vineyard with regard to irrigation controlOriginal Paper

Reinhard NOLZ*, Willibald LOISKANDL
Institute of Hydraulics and Rural Water Management, Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences, Vienna, Austria

Knowledge on the water content of a certain soil profile and its temporal changes due to rainfall and plant water uptake is a key issue for irrigation management. In this regard, sensors can be utilized to monitor soil water content (SWC). Due to the characteristic spatial variability of SWC, a key question is whether the measurements are representative and reliable. This study focused on the assessment of SWC and its variability in a vineyard with subsurface drip irrigation. SWC was measured in profiles down to a 50 cm depth by means of multi-sensor capacitance probes. The probes were installed at six locations along vine rows. A temporal stability analysis was performed to evaluate the representativeness and reliability of each monitoring profile with regard to irrigation control. Mean SWC was within a plausible range compared to unsaturated hydraulic parameters determined in a laboratory. The measurements revealed a considerable variability, but standard deviations were comparable to values from literature. The main finding was that some monitoring profiles (probes) proved to be more suitable to monitor SWC with respect to irrigation control than the others. Considering temporal stability provided helpful insights into the spatio-temporal variability of SWC measurements. However, not all questions that are related to the concept of temporal stability could be answered based on the given dataset.

Keywords: capacitance sensors; spatio-temporal variability; subsurface drip irrigation; temporal stability

Published: September 30, 2017  Show citation

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NOLZ R, LOISKANDL W. Evaluating soil water content data monitored at different locations in a vineyard with regard to irrigation control. Soil & Water Res. 2017;12(3):152-160. doi: 10.17221/9/2016-SWR.
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    References

    1. Bogena H.R., Herbst M., Huisman J.A., Rosenbaum U., Weuthen A., Vereecken H. (2010): Potential of wireless sensor networks for measuring soil water content variability. Vadose Zone Journal, 9: 1002-1013. Go to original source...
    2. Celette F., Gaudin R., Gary C. (2008): Spatial and temporal changes to the water regime of a Mediterranean vineyard due to the adoption of cover cropping. European Journal of Agronomy, 29: 153-162. Go to original source...
    3. Dabach S., Shani U., Lazarovitch N. (2015): Optimal tensiometer placement for high-frequency subsurface drip irrigation management in heterogeneous soils. Agricultural Water Management, 152: 91-98. Go to original source...
    4. De Lannoy G.J.M., Verhoest N.E.C., Houser P.R., Gish T.J., Van Meirvenne M. (2006): Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3). Journal of Hydrology, 331: 719-730. Go to original source...
    5. Evett S.R., Schwartz R.C., Tolk J.A., Howell T.A. (2009): Soil profile water content determination: Spatiotemporal variability of electromagnetic and neutron probe sensors in access tubes. Vadose Zone Journal, 8: 926-941. Go to original source...
    6. Evett S.R., Schwartz R.C., Casanova J.J., Heng L.K. (2012): Soil water sensing for water balance, ET and WUE. Agricultural Water Management, 104: 1-9. Go to original source...
    7. Famiglietti J.S., Ryu D., Berg A.A., Rodell M., Jackson T.J. (2008): Field observations of soil moisture variability across scales. Water Resources Research, 44: W01423. Go to original source...
    8. Jacobs J.M., Mohanty B.P., Hsu E., Miller D. (2004): SMEX02: Field scale variability, time stability and similarity of soil moisture. Remote Sensing of Environment, 92: 436-446. Go to original source...
    9. Medrano H., Tomás M., Martorell S., Escalona J.M., Pou A., Fuentes S., Flexas J., Bota J. (2015): Improving water use efficiency of vineyards in semiarid regions: A review. Agronomy for Sustainable Development, 35: 499-517. Go to original source...
    10. Mittelbach H., Seneviratne S.I. (2012): A new perspective on the spatio-temporal variability of soil moisture: temporal dynamics versus time-invariant contributions. Hydrology and Earth System Sciences, 16: 2169-2179. Go to original source...
    11. Nolz R., Cepuder P., Balas J., Loiskandl W. (2016a): Soil water monitoring in a vineyard and assessment of unsaturated hydraulic parameters as thresholds for irrigation management. Agricultural Water Management, 164: 235-242. Go to original source...
    12. Nolz R., Loiskandl W., Kammerer G., Himmelbauer M.L. (2016b): Survey of soil water distribution in a vineyard and implications for subsurface drip irrigation control. Soil and Water Research, 11: 250-258. Go to original source...
    13. Pachepsky Y.A., Guber A.K., Jacques D. (2005): Temporal persistence in vertical distribution of soil moisture contents. Soil Science Society of America Journal, 69: 347-352. Go to original source...
    14. Paltineanu I.C., Starr J.L. (1997): Real-time soil water dynamics using multisensor capacitance probes: laboratory calibration. Soil Science Society of America Journal, 61: 1576-1585. Go to original source...
    15. Sentek (2001): Calibration of Sentek Pty Ltd Soil Moisture Sensors. Manual, 60 pp.
    16. Starr G.C. (2005): Assessing temporal stability and spatial variability of soil water patterns with implications for precision water management. Agricultural Water Management, 72: 223-243. Go to original source...
    17. Thompson R.B., Gallardo M., Valdez L.C., Fernandez M.D. (2007a): Using plant water status to define threshold values for irrigation management of vegetable crops using soil moisture sensors. Agricultural Water Management, 88: 147-158. Go to original source...
    18. Thompson R.B., Gallardo M., Valdez L.C., Fernandez M.D. (2007b): Determination of lower limits for irrigation management using in situ assessments of apparent crop water uptake made with volumetric soil water content sensors. Agricultural Water Management, 92: 13-28. Go to original source...
    19. Vachaud G., Passerat De Silans A., Balabanis P., Vauclin M. (1985): Temporal stability of spatially measured soil water probability density functions. Soil Science Society of America Journal, 49: 822-828. Go to original source...
    20. Van Pelt R.S., Wierenga P.J. (2001): Temporal stability of spatially measured soil matric potential probability density function. Soil Science Society of America Journal, 65: 668-677. Go to original source...
    21. Vanderlinden K., Vereecken H., Hardelauf H., Herbst M., Martinez G., Cosh M., Pachepsky Y. (2012): Temporal stability of soil water contents: A review of data and analyses. Vadose Zone Journal, doi 10.2136/vzj2011.0178 Go to original source...
    22. Vereecken H., Kamai T., Harter T., Kasteel R., Hopmans J., Vanderborght J. (2007): Explaining soil moisture variability as a function of mean soil moisture: A stochastic unsaturated flow perspective. Geophysical Research Letters, 34: L22402. Go to original source...

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