IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v148y2015icp34-42.html
   My bibliography  Save this article

Predicting the mobile water content of vineyard soils in New South Wales, Australia

Author

Listed:
  • Holland, Jonathan E.
  • Biswas, Asim

Abstract

Better understanding of the relationship between soil properties and soil function is required to minimise nutrient losses from agriculture and protect the environment. There is a need to predict the solute movement through horticultural soils because of the intensive management practices. Thus, the mobile water content (θm), the active fraction of soil water content engaged in solute transport, is a suitable soil property to investigate further. Accurate measurement of such solute transport properties in the field are costly, labour intensive and time consuming but there are opportunities to establish predictive relationships. θm was measured together with other basic soil properties to test established predictive relationships (known as pedotransfer functions, PTFs) and to develop new PTFs. The field measurements were taken on a diverse range of vineyard soils across New South Wales (NSW), Australia. Poor predictions were found with available PTFs for θm and the mobile water fraction f (=θm/θfm; where θfm=volumetric water content at which θm was measured). Backward stepwise multiple regression analysis produced better PTF model predictions than the multiple linear regression analysis for new PTFs that were calculated. Differences in the analysis methods showed a trade-off between the prediction capacity and the number of predictor variables in each PTF model. A prediction accuracy of between 80 to 90% was found with 3 predictor variables in the PTFs for θm and f. Both the PTFs developed were in strong agreement with the measured properties (minimum R2=0.82). For the θm PTF, the % clay content (varied from 11 to 59) was the strongest predictor variable while bulk density (ranged from 1.2 to 1.51gcm−3) contributed the smallest. The PTF for f was similar to θm except it was the % soil organic carbon which had the smallest contribution. These relationships are useful to predict θm and f from easily measured soil physical properties of vineyard soils in NSW, but further testing on a wider range of soils is required.

Suggested Citation

  • Holland, Jonathan E. & Biswas, Asim, 2015. "Predicting the mobile water content of vineyard soils in New South Wales, Australia," Agricultural Water Management, Elsevier, vol. 148(C), pages 34-42.
    • Handle: RePEc:eee:agiwat:v:148:y:2015:i:c:p:34-42
    DOI: 10.1016/j.agwat.2014.09.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377414002893
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2014.09.018?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. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    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. Yifang Ren & Fenghua Ling & Yong Wang, 2023. "Research on Provincial-Level Soil Moisture Prediction Based on Extreme Gradient Boosting Model," Agriculture, MDPI, vol. 13(5), pages 1-17, April.

    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. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    2. Hideki Murakami & Yukari Matsuse & Koji Mukaigawa & Yushi Tsunoda, 2013. "Product lifecycle and choice of transportation modes: Japan' s evidence of import and export," Discussion Papers 2013-28, Kobe University, Graduate School of Business Administration.
    3. Michele Fratianni & Francesco Marchionne, 2011. "The Limits to Integration," Chapters, in: Miroslav N. Jovanović (ed.), International Handbook on the Economics of Integration, Volume I, chapter 9, Edward Elgar Publishing.
    4. Tadashi Kikuchi, 2014. "Vietnamese Inter – regional labor migration: system approach to the modeling 1989, 1999, 2009," EcoMod2014 6998, EcoMod.
    5. Jean-Paul Azam & Catherine Bonjean, 1995. "La formation du prix du riz : théorie et application au cas d'Antananarivo (Madagascar) ," Revue Économique, Programme National Persée, vol. 46(4), pages 1145-1166.
    6. Nathaniel Geiger & Bryan McLaughlin & John Velez, 2021. "Not all boomers: temporal orientation explains inter- and intra-cultural variability in the link between age and climate engagement," Climatic Change, Springer, vol. 166(1), pages 1-20, May.
    7. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    8. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    9. Raffaella Santolini, 2017. "Electoral Rules And Public Spending Composition: The Case Of Italian Regions," Contemporary Economic Policy, Western Economic Association International, vol. 35(3), pages 551-577, July.
    10. Desbordes, Rodolphe, 2007. "The sensitivity of U.S. multinational enterprises to political and macroeconomic uncertainty: A sectoral analysis," International Business Review, Elsevier, vol. 16(6), pages 732-750, December.
    11. Zsuzsa Lábiscsák-Erdélyi & Ilona Veres-Balajti & Annamária Somhegyi & Karolina Kósa, 2022. "Self-Esteem Is Independent Factor and Moderator of School-Related Psychosocial Determinants of Life Satisfaction in Adolescents," IJERPH, MDPI, vol. 19(9), pages 1-14, May.
    12. Anjum, Zeba & Burke, Paul J. & Gerlagh, Reyer & Stern, David I., "undated". "Modeling the Emissions-Income Relationship Using Long-Run Growth Rates," Working Papers 249422, Australian National University, Centre for Climate Economics & Policy.
    13. Grzegorz Rybak & Edward Kozłowski & Krzysztof Król & Tomasz Rymarczyk & Agnieszka Sulimierska & Artur Dmowski & Piotr Bednarczuk, 2023. "Algorithms for Optimizing Energy Consumption for Fermentation Processes in Biogas Production," Energies, MDPI, vol. 16(24), pages 1-17, December.
    14. Garcia-Hiernaux, Alfredo & Gonzalez-Perez, Maria T. & Guerrero, David E., 2023. "Eurozone prices: A tale of convergence and divergence," Economic Modelling, Elsevier, vol. 126(C).
    15. Timothy Tyler Brown & Vishnu Murthy, 2020. "Do public health activities pay for themselves? The effect of county‐level public health expenditures on county‐level public assistance medical care benefits in California," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1220-1230, October.
    16. Tsimpanos, Apostolos & Tsimbos, Cleon & Kalogirou, Stamatis, 2018. "Assessing spatial variation and heterogeneity of fertility in Greece at local authority level," MPRA Paper 100406, University Library of Munich, Germany.
    17. Westley, Glenn D. & Shaffer, Sherrill, 1999. "Credit union policies and performance in Latin America," Journal of Banking & Finance, Elsevier, vol. 23(9), pages 1303-1329, September.
    18. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.
    19. Vance, Colin & Procher, Vivien, 2013. "Who Does the Shopping? German time-use evidence, 1996-2009," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2357, pages 125-133.
    20. Ahmad, Babor & Rabbani, M. Golam & Shilpa, Nusrat Afrin & Haque, Mohammad Samiul & Rahman, M. Naimur, 2022. "Diversification Of Livelihoods And Its Impact On The Welfare Of Tribal Households In Dinajpur District Of Bangladesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 43(1), June.

    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:148:y:2015:i:c:p:34-42. 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.