IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v226y2019ics037837741930887x.html
   My bibliography  Save this article

Predicting soil water balance for irrigated and non-irrigated lucerne on stony, alluvial soils

Author

Listed:
  • Graham, Scott L.
  • Laubach, Johannes
  • Hunt, John E.
  • Eger, Andre
  • Carrick, Sam
  • Whitehead, David

Abstract

•Efficient use of irrigation is essential for minimising environmental impacts of agriculture, particularly on stony soils which are vulnerable to nitrogen leaching. Models of soil water balance are essential tools for effective agricultural water management. Here we use the soil water flow model HYDRUS-1D to predict evaporation, total 1.5 m soil profile water content, and drainage at 1.5 m soil depth for irrigated and non-irrigated lucerne (Medicago sativa L.) on stony, alluvial soils in central South Island, New Zealand. Modelled estimates were compared against measurements of evaporation by eddy covariance, profile soil water content from soil moisture sensors, and drainage from lysimeters from 1 October 2016 to 1 July 2018 at each site. Cumulative evaporation and drainage were within 4% of measurements and short-term variations were well predicted for non-irrigated lucerne. Under irrigation, modelled cumulative evaporation and drainage overestimated measurements by 6 and 24% respectively. This overestimation must be viewed within the context of uncertainties related to the measurements, particularly given non-closure of the measured water balance related to spatial variability and inherent biases in the measurement methods. Model inputs and concept are likewise sources of uncertainty. Total water content predicted for the 1.5 m depth soil profile was 40–50% greater than the measured volume for both non-irrigated and irrigated lucerne, although short term variations were well predicted, suggesting that further research is needed on estimation of soil hydraulic parameters which represent water storage in these stony, alluvial soils. Our results highlight the value of well-measured sites, such as those of the current study, for evaluating the quality of soil hydrological predictions.

Suggested Citation

  • Graham, Scott L. & Laubach, Johannes & Hunt, John E. & Eger, Andre & Carrick, Sam & Whitehead, David, 2019. "Predicting soil water balance for irrigated and non-irrigated lucerne on stony, alluvial soils," Agricultural Water Management, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:agiwat:v:226:y:2019:i:c:s037837741930887x
    DOI: 10.1016/j.agwat.2019.105790
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837741930887X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.105790?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Šimůnek, Jiří & Hopmans, Jan W., 2009. "Modeling compensated root water and nutrient uptake," Ecological Modelling, Elsevier, vol. 220(4), pages 505-521.
    2. Duncan, M.J. & Srinivasan, M.S. & McMillan, H., 2016. "Field measurement of groundwater recharge under irrigation in Canterbury, New Zealand, using drainage lysimeters," Agricultural Water Management, Elsevier, vol. 166(C), pages 17-32.
    3. Graham, Scott L. & Kochendorfer, John & McMillan, Andrew M.S. & Duncan, Maurice J. & Srinivasan, M.S. & Hertzog, Gladys, 2016. "Effects of agricultural management on measurements, prediction, and partitioning of evapotranspiration in irrigated grasslands," Agricultural Water Management, Elsevier, vol. 177(C), pages 340-347.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Graham, Scott L. & Laubach, Johannes & Hunt, John E. & Mudge, Paul L. & Nuñez, Jonathan & Rogers, Graeme N.D. & Buxton, Rowan P. & Carrick, Sam & Whitehead, David, 2022. "Irrigation and grazing management affect leaching losses and soil nitrogen balance of lucerne," Agricultural Water Management, Elsevier, vol. 259(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shouse, Peter J. & Ayars, James E. & Simunek, Jirí, 2011. "Simulating root water uptake from a shallow saline groundwater resource," Agricultural Water Management, Elsevier, vol. 98(5), pages 784-790, March.
    2. Phogat, V. & Skewes, M.A. & Cox, J.W. & Alam, J. & Grigson, G. & Šimůnek, J., 2013. "Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree," Agricultural Water Management, Elsevier, vol. 127(C), pages 74-84.
    3. Li, Yong & Šimůnek, Jirka & Zhang, Zhentin & Jing, Longfei & Ni, Lixiao, 2015. "Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 148(C), pages 213-222.
    4. Wang, Jianjun & Wang, Chuantao & Li, Hongchen & Liu, Yanfang & Li, Huijie & Ren, Ruiqi & Si, Bingcheng, 2023. "Rock water use by apple trees affected by physical properties of the underlying weathered rock," Agricultural Water Management, Elsevier, vol. 287(C).
    5. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    6. Mubarak, Ibrahim & Mailhol, Jean Claude & Angulo-Jaramillo, Rafael & Bouarfa, Sami & Ruelle, Pierre, 2009. "Effect of temporal variability in soil hydraulic properties on simulated water transfer under high-frequency drip irrigation," Agricultural Water Management, Elsevier, vol. 96(11), pages 1547-1559, November.
    7. Feng, Genxiang & Zhu, Chengli & Wu, Qingfeng & Wang, Ce & Zhang, Zhanyu & Mwiya, Richwell Mubita & Zhang, Li, 2021. "Evaluating the impacts of saline water irrigation on soil water-salt and summer maize yield in subsurface drainage condition using coupled HYDRUS and EPIC model," Agricultural Water Management, Elsevier, vol. 258(C).
    8. Noah James Langenfeld & Daniel Fernandez Pinto & James E. Faust & Royal Heins & Bruce Bugbee, 2022. "Principles of Nutrient and Water Management for Indoor Agriculture," Sustainability, MDPI, vol. 14(16), pages 1-25, August.
    9. Sonkar, Ickkshaanshu & Kotnoor, Hari Prasad & Sen, Sumit, 2019. "Estimation of root water uptake and soil hydraulic parameters from root zone soil moisture and deep percolation," Agricultural Water Management, Elsevier, vol. 222(C), pages 38-47.
    10. M. Babaei & H. Ketabchi, 2022. "Determining Groundwater Recharge Rate with a Distributed Model and Remote Sensing Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5401-5423, November.
    11. Zhang, Hongyuan & Batchelor, William D. & Hu, Kelin & Liang, Hao & Han, Hui & Li, Ji, 2022. "Simulation of N2O emissions from greenhouse vegetable production under different management systems in North China," Ecological Modelling, Elsevier, vol. 470(C).
    12. Pizarro, E. & Galleguillos, M. & Barría, P. & Callejas, R., 2022. "Irrigation management or climate change ? Which is more important to cope with water shortage in the production of table grape in a Mediterranean context," Agricultural Water Management, Elsevier, vol. 263(C).
    13. Huang, Zhongdong & Zhang, Xiaoxian & Ashton, Rhys W. & Hawkesford, Malcom J. & Richard Whalley, W., 2023. "Root phenotyping and root water uptake calculation using soil water contents measured in a winter wheat field," Agricultural Water Management, Elsevier, vol. 290(C).
    14. Margarita A. Petoussi & Nicolas Kalogerakis, 2023. "Mathematical Modeling of Pilot Scale Olive Mill Wastewater Phytoremediation Units," Sustainability, MDPI, vol. 15(11), pages 1-36, May.
    15. Wang, Xiangping & Huang, Guanhua & Yang, Jingsong & Huang, Quanzhong & Liu, Haijun & Yu, Lipeng, 2015. "An assessment of irrigation practices: Sprinkler irrigation of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 159(C), pages 197-208.
    16. Müller, T. & Ranquet Bouleau, C. & Perona, P., 2016. "Optimizing drip irrigation for eggplant crops in semi-arid zones using evolving thresholds," Agricultural Water Management, Elsevier, vol. 177(C), pages 54-65.
    17. Tang, Darrell W.S. & Bartholomeus, Ruud P. & Ritsema, Coen J., 2024. "Wastewater irrigation beneath the water table: analytical model of crop contamination risks," Agricultural Water Management, Elsevier, vol. 298(C).
    18. Fabio V. Difonzo & Costantino Masciopinto & Michele Vurro & Marco Berardi, 2021. "Shooting the Numerical Solution of Moisture Flow Equation with Root Water Uptake Models: A Python Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2553-2567, June.
    19. Saefuddin, Reskiana & Saito, Hirotaka & Šimůnek, Jiří, 2019. "Experimental and numerical evaluation of a ring-shaped emitter for subsurface irrigation," Agricultural Water Management, Elsevier, vol. 211(C), pages 111-122.
    20. Bughici, Theodor & Skaggs, Todd H. & Corwin, Dennis L. & Scudiero, Elia, 2022. "Ensemble HYDRUS-2D modeling to improve apparent electrical conductivity sensing of soil salinity under drip irrigation," Agricultural Water Management, Elsevier, vol. 272(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:226:y:2019:i:c:s037837741930887x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.