IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v264y2022ics0378377422000130.html
   My bibliography  Save this article

Irrigated agriculture potential of Australia’s northern territory inferred from spatial assessment of groundwater availability and crop evapotranspiration

Author

Listed:
  • Hu, K.X.
  • Awange, J.L.
  • Kuhn, M.
  • Zerihun, A.

Abstract

Agricultural expansion has been a hot topic in the Northern Territory (NT) of Australia in recent years. However, insufficient information on available water resources and crop evapotranspiration is a bottleneck to this expansion. Towards closing this gap, this study employs the newest Global Land Data Assimilation System (GLDAS; version 2.2) catchment products assimilated from the Gravity Recovery and Climate Experiment (GRACE; hereafter called GLDAS-DA) and the Food and Agriculture Organization (FAO) Penman-Monteith equation to spatially evaluate the Balance between water availability (i.e., groundwater and effective rainfall) and melons, maize and citrus crop evapotranspiration (water demand) of three representative (short-, medium-season and perennial) crop types over the NT for the 2010–2019 period. Specifically, this Balance is the estimated ratio of water availability and crop evapotranspiration, representing the crop area that can be planted in each GLDAS-DA grid cell. The larger the Balance, the greater the irrigated agriculture potential. Under the average 2010–2019 conditions, our results show that the northern part of the NT has the highest irrigated agriculture potentials with the average Balance of 9430 ha (15.7%), 5490 ha (9.1%) and 3520 ha (5.8%) for melons, maize and citrus, respectively, excluding non-agriculture areas. Irrigated agriculture in the central part of the NT shows less potential compared to the northern part of the NT, with the average Balance of 2780 ha (4.6%), 2000 ha (3.3%) and 970 ha (1.6%) for melons, maize and citrus, respectively (excluding non-agriculture areas). The southern part of the NT shows an average Balance below 1% of grid cell for all three crops, suggesting that only small-scale irrigated agriculture could be possible. In addition, the Balance across most of the northern and central parts of the NT decreased by 50% or more during 2019 dry period. Drought risk management should therefore be a serious consideration when exploring further expansion of irrigated agriculture in the NT.

Suggested Citation

  • Hu, K.X. & Awange, J.L. & Kuhn, M. & Zerihun, A., 2022. "Irrigated agriculture potential of Australia’s northern territory inferred from spatial assessment of groundwater availability and crop evapotranspiration," Agricultural Water Management, Elsevier, vol. 264(C).
    • Handle: RePEc:eee:agiwat:v:264:y:2022:i:c:s0378377422000130
    DOI: 10.1016/j.agwat.2022.107466
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422000130
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107466?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. Zanotelli, Damiano & Montagnani, Leonardo & Andreotti, Carlo & Tagliavini, Massimo, 2019. "Evapotranspiration and crop coefficient patterns of an apple orchard in a sub-humid environment," Agricultural Water Management, Elsevier, vol. 226(C).
    2. A. Loukas & N. Mylopoulos & L. Vasiliades, 2007. "A Modeling System for the Evaluation of Water Resources Management Strategies in Thessaly, Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(10), pages 1673-1702, October.
    3. Blankenau, Philip A. & Kilic, Ayse & Allen, Richard, 2020. "An evaluation of gridded weather data sets for the purpose of estimating reference evapotranspiration in the United States," Agricultural Water Management, Elsevier, vol. 242(C).
    4. Matin Ahooghalandari & Mehdi Khiadani & Mina Esmi Jahromi, 2016. "Developing Equations for Estimating Reference Evapotranspiration in Australia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3815-3828, September.
    5. Marsaglia, George & Tsang, Wai Wan & Wang, Jingbo, 2003. "Evaluating Kolmogorov's Distribution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i18).
    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. Wang, Jiaxin & He, Xinlin & Gong, Ping & Heng, Tong & Zhao, Danqi & Wang, Chunxia & Chen, Quan & Wei, Jie & Lin, Ping & Yang, Guang, 2024. "Response of fragrant pear quality and water productivity to lateral depth and irrigation amount," Agricultural Water Management, Elsevier, vol. 292(C).
    2. Zihan Liu & Dong Jing & Yu Han & Jingxin Yu & Tiangang Lu & Lili Zhangzhong, 2022. "Spatiotemporal Distribution Characteristics and Influencing Factors Analysis of Reference Evapotranspiration in Beijing–Tianjin–Hebei Region from 1990 to 2019 under Climate Change," Sustainability, MDPI, vol. 14(10), pages 1-22, May.

    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. Giuliani, Nicola & Aguzzoni, Agnese & Penna, Daniele & Tagliavini, Massimo, 2023. "Estimating uptake and internal transport dynamics of irrigation water in apple trees using deuterium-enriched water," Agricultural Water Management, Elsevier, vol. 289(C).
    2. Fernández de Marcos Giménez de los Galanes, Alberto & García Portugués, Eduardo, 2022. "Data-driven stabilizations of goodness-of-fit tests," DES - Working Papers. Statistics and Econometrics. WS 35324, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Tatjana Miljkovic & Saleem Shaik & Dragan Miljkovic, 2017. "Redefining standards for body mass index of the US population based on BRFSS data using mixtures," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(2), pages 197-211, January.
    4. Changsen Zhao & Bing Shen & Lingmei Huang & Zhidong Lei & Heping Hu & Shixiu Yang, 2009. "A Dissipative Hydrological Model for the Hotan Oasis (DHMHO)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1183-1210, April.
    5. Cem P. Cetinkaya & Mert Can Gunacti, 2018. "Multi-Criteria Analysis of Water Allocation Scenarios in a Water Scarce Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2867-2884, June.
    6. Steland, Ansgar, 2020. "Testing and estimating change-points in the covariance matrix of a high-dimensional time series," Journal of Multivariate Analysis, Elsevier, vol. 177(C).
    7. Enrique Garcia Tejeda, 2022. "La concentracion espacial de los reportes de disparos al 911 en la Ciudad de Mexico: ¿Comportamiento racional en el uso de armas durante la pandemia Covid-19?," Sobre México. Revista de Economía, Sobre México. Temas en economía, vol. 3(5), pages 69-93.
    8. Carvalho, Luis, 2015. "An Improved Evaluation of Kolmogorovs Distribution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 65(c03).
    9. Guillaume Coqueret, 2016. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02088097, HAL.
    10. Hui Xuan Tan & Ephrance Abu Ujum & Kwai Fatt Choong & Kuru Ratnavelu, 2015. "Impact analysis of domestic and international research collaborations: a Malaysian case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 885-904, January.
    11. Saeedeh Abedzadeh & Abbas Roozbahani & Ali Heidari, 2020. "Risk Assessment of Water Resources Development Plans Using Fuzzy Fault Tree Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2549-2569, June.
    12. Abbas Al-Omari & Saleh Al-Quraan & Adnan Al-Salihi & Fayez Abdulla, 2009. "A Water Management Support System for Amman Zarqa Basin in Jordan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3165-3189, December.
    13. Fernández-de-Marcos, Alberto & García-Portugués, Eduardo, 2023. "Data-driven stabilizations of goodness-of-fit tests," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    14. Allen, Richard G. & Dhungel, Ramesh & Dhungana, Bibha & Huntington, Justin & Kilic, Ayse & Morton, Charles, 2021. "Conditioning point and gridded weather data under aridity conditions for calculation of reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 245(C).
    15. Aikaterini Lyra & Athanasios Loukas, 2023. "Simulation and Evaluation of Water Resources Management Scenarios Under Climate Change for Adaptive Management of Coastal Agricultural Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2625-2642, May.
    16. Ntshidi, Z. & Dzikiti, S. & Mazvimavi, D. & Mobe, N.T., 2021. "Contribution of understorey vegetation to evapotranspiration partitioning in apple orchards under Mediterranean climatic conditions in South Africa," Agricultural Water Management, Elsevier, vol. 245(C).
    17. Vladimir Klimchenko & Andrei Torgashov & Yuri A. W. Shardt & Fan Yang, 2021. "Multi-Output Soft Sensor with a Multivariate Filter That Predicts Errors Applied to an Industrial Reactive Distillation Process," Mathematics, MDPI, vol. 9(16), pages 1-14, August.
    18. Song-Hee Kim & Ward Whitt, 2014. "Are Call Center and Hospital Arrivals Well Modeled by Nonhomogeneous Poisson Processes?," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 464-480, July.
    19. Buschmann, Christoph & Lotze-Campen, Hermann & Rolinski, Susanne & Biewald, Anne, 2015. "A model-based economic assessment of future climate variability impacts on global agricultural markets," 2015 Conference, August 9-14, 2015, Milan, Italy 211377, International Association of Agricultural Economists.
    20. Heike Wanke & Armin Dünkeloh & Peter Udluft, 2008. "Groundwater Recharge Assessment for the Kalahari Catchment of North-eastern Namibia and North-western Botswana with a Regional-scale Water Balance Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(9), pages 1143-1158, September.

    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:264:y:2022:i:c:s0378377422000130. 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.