IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v278y2023ics0378377422006667.html
   My bibliography  Save this article

Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method

Author

Listed:
  • Olivera-Guerra, Luis-Enrique
  • Laluet, Pierre
  • Altés, Víctor
  • Ollivier, Chloé
  • Pageot, Yann
  • Paolini, Giovanni
  • Chavanon, Eric
  • Rivalland, Vincent
  • Boulet, Gilles
  • Villar, Josep-Maria
  • Merlin, Olivier

Abstract

The modeling of irrigation in land surface models are generally based on two soil moisture parameters SMthreshold and SMtarget at which irrigation automatically starts and stops, respectively. Typically, both parameters are usually set to optimal values allowing to fill the soil water reservoir with just the estimated right amount and to avoid crop water excess at all times. The point is that agricultural practices greatly vary according to many factors (climatological, crop, soil, technical, human, etc.). To fill the gap, we propose a new calibration method of SMthreshold and SMtarget to represent the irrigation water use in any (optimal, deficit or even over) irrigation regime. The approach is tested using the dual-crop coefficient FAO-56 model implemented at the field scale over an 8100 ha irrigation district in northeastern Spain where the irrigation water use is precisely monitored at the district scale. Both irrigation parameters are first retrieved at monthly scale from the irrigation observations of year 2019. The irrigation simulated by the FAO-56 model is then evaluated against observations at district and weekly scale over 5 years (2017–2021) separately. The performance of the newly calibrated irrigation module is also assessed by comparing it against three other modules with varying configurations including default estimates for SMthreshold and SMtarget. The proposed irrigation module obtains systematically the best performance for each of the 5 years with an overall correlation coefficient of 0.95 ± 0.02 and root-mean square error of 0.27 ± 0.07 hm3/week (0.64 ± 0.17 mm/day). Unlike the three irrigation modules used as benchmark, the new irrigation module is able to reproduce the farmers’ practices throughout the year, and especially, to simulate the actual water use in the deficit and excess irrigation regimes occurring in the study area in spring and summer, respectively.

Suggested Citation

  • Olivera-Guerra, Luis-Enrique & Laluet, Pierre & Altés, Víctor & Ollivier, Chloé & Pageot, Yann & Paolini, Giovanni & Chavanon, Eric & Rivalland, Vincent & Boulet, Gilles & Villar, Josep-Maria & Merlin, 2023. "Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method," Agricultural Water Management, Elsevier, vol. 278(C).
  • Handle: RePEc:eee:agiwat:v:278:y:2023:i:c:s0378377422006667
    DOI: 10.1016/j.agwat.2022.108119
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422006667
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2022.108119?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. Amazirh, Abdelhakim & Merlin, Olivier & Er-Raki, Salah & Bouras, Elhoussaine & Chehbouni, Abdelghani, 2021. "Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method," Agricultural Water Management, Elsevier, vol. 250(C).
    2. Wim Thiery & Auke J. Visser & Erich M. Fischer & Mathias Hauser & Annette L. Hirsch & David M. Lawrence & Quentin Lejeune & Edouard L. Davin & Sonia I. Seneviratne, 2020. "Warming of hot extremes alleviated by expanding irrigation," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    3. Brombacher, Joost & Silva, Isadora Rezende de Oliveira & Degen, Jelle & Pelgrum, Henk, 2022. "A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm," Agricultural Water Management, Elsevier, vol. 267(C).
    4. Arnald Puy & Emanuele Borgonovo & Samuele Lo Piano & Simon A. Levin & Andrea Saltelli, 2021. "Irrigated areas drive irrigation water withdrawals," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    5. Dari, Jacopo & Quintana-Seguí, Pere & Morbidelli, Renato & Saltalippi, Carla & Flammini, Alessia & Giugliarelli, Elena & Escorihuela, María José & Stefan, Vivien & Brocca, Luca, 2022. "Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm," Agricultural Water Management, Elsevier, vol. 265(C).
    6. Tomislav Hengl & Jorge Mendes de Jesus & Gerard B M Heuvelink & Maria Ruiperez Gonzalez & Milan Kilibarda & Aleksandar Blagotić & Wei Shangguan & Marvin N Wright & Xiaoyuan Geng & Bernhard Bauer-Marsc, 2017. "SoilGrids250m: Global gridded soil information based on machine learning," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-40, February.
    7. Jonathan A. Foley & Navin Ramankutty & Kate A. Brauman & Emily S. Cassidy & James S. Gerber & Matt Johnston & Nathaniel D. Mueller & Christine O’Connell & Deepak K. Ray & Paul C. West & Christian Balz, 2011. "Solutions for a cultivated planet," Nature, Nature, vol. 478(7369), pages 337-342, October.
    Full references (including those not matched with items on IDEAS)

    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. Dari, Jacopo & Quintana-Seguí, Pere & Morbidelli, Renato & Saltalippi, Carla & Flammini, Alessia & Giugliarelli, Elena & Escorihuela, María José & Stefan, Vivien & Brocca, Luca, 2022. "Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm," Agricultural Water Management, Elsevier, vol. 265(C).
    2. Abera, Wuletawu & Tamene, Lulseged & Kassawmar, Tibebu & Mulatu, Kalkidan & Kassa, Habtemariam & Verchot, Louis & Quintero, Marcela, 2021. "Impacts of land use and land cover dynamics on ecosystem services in the Yayo coffee forest biosphere reserve, southwestern Ethiopia," Ecosystem Services, Elsevier, vol. 50(C).
    3. Katerina Georgiou & Robert B. Jackson & Olga Vindušková & Rose Z. Abramoff & Anders Ahlström & Wenting Feng & Jennifer W. Harden & Adam F. A. Pellegrini & H. Wayne Polley & Jennifer L. Soong & William, 2022. "Global stocks and capacity of mineral-associated soil organic carbon," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Safi, Abdur Rahim & Karimi, Poolad & Mul, Marloes & Chukalla, Abebe & de Fraiture, Charlotte, 2022. "Translating open-source remote sensing data to crop water productivity improvement actions," Agricultural Water Management, Elsevier, vol. 261(C).
    5. Rommel, Jens & Anggraini, Eva, 2018. "Spatially explicit framed field experiments on ecosystem services governance," Ecosystem Services, Elsevier, vol. 34(PB), pages 201-205.
    6. Ascui, Francisco & Ball, Alex & Kahn, Lewis & Rowe, James, 2021. "Is operationalising natural capital risk assessment practicable?," Ecosystem Services, Elsevier, vol. 52(C).
    7. Meike Weltin & Silke Hüttel, 2023. "Sustainable Intensification Farming as an Enabler for Farm Eco-Efficiency?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 315-342, January.
    8. Elliott R. Dossou-Yovo & Sander J. Zwart & Amadou Kouyaté & Ibrahima Ouédraogo & Oladele Bakare, 2018. "Predictors of Drought in Inland Valley Landscapes and Enabling Factors for Rice Farmers’ Mitigation Measures in the Sudan-Sahel Zone," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    9. Law, Elizabeth A. & Macchi, Leandro & Baumann, Matthias & Decarre, Julieta & Gavier-Pizarro, Gregorio & Levers, Christian & Mastrangelo, Matías E. & Murray, Francisco & Müller, Daniel & Piquer-Rodrígu, 2021. "Fading opportunities for mitigating agriculture-environment trade-offs in a south American deforestation hotspot," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 262.
    10. Ongolo, Symphorien & Giessen, Lukas & Karsenty, Alain & Tchamba, Martin & Krott, Max, 2021. "Forestland policies and politics in Africa: Recent evidence and new challenges," Forest Policy and Economics, Elsevier, vol. 127(C).
    11. Marcela Prokopová & Luca Salvati & Gianluca Egidi & Ondřej Cudlín & Renata Včeláková & Radek Plch & Pavel Cudlín, 2019. "Envisioning Present and Future Land-Use Change under Varying Ecological Regimes and Their Influence on Landscape Stability," Sustainability, MDPI, vol. 11(17), pages 1-24, August.
    12. James J Elser & Timothy J Elser & Stephen R Carpenter & William A Brock, 2014. "Regime Shift in Fertilizer Commodities Indicates More Turbulence Ahead for Food Security," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-7, May.
    13. Vogel, Everton & Martinelli, Gabrielli & Artuzo, Felipe Dalzotto, 2021. "Environmental and economic performance of paddy field-based crop-livestock systems in Southern Brazil," Agricultural Systems, Elsevier, vol. 190(C).
    14. Huang, Yawen & Tao, Bo & Lal, Rattan & Lorenz, Klaus & Jacinthe, Pierre-Andre & Shrestha, Raj K. & Bai, Xiongxiong & Singh, Maninder P. & Lindsey, Laura E. & Ren, Wei, 2023. "A global synthesis of biochar's sustainability in climate-smart agriculture - Evidence from field and laboratory experiments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    15. Mark A. Anthony & Leho Tedersoo & Bruno Vos & Luc Croisé & Henning Meesenburg & Markus Wagner & Henning Andreae & Frank Jacob & Paweł Lech & Anna Kowalska & Martin Greve & Genoveva Popova & Beat Frey , 2024. "Fungal community composition predicts forest carbon storage at a continental scale," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    16. Abdulai, Issaka & Hoffmann, Munir P. & Jassogne, Laurence & Asare, Richard & Graefe, Sophie & Tao, Hsiao-Hang & Muilerman, Sander & Vaast, Philippe & Van Asten, Piet & Läderach, Peter & Rötter, Reimun, 2020. "Variations in yield gaps of smallholder cocoa systems and the main determining factors along a climate gradient in Ghana," Agricultural Systems, Elsevier, vol. 181(C).
    17. Qian Sun & Mingjie Wu & Peiyu Du & Wei Qi & Xinyang Yu, 2022. "Spatial Layout Optimization and Simulation of Cultivated Land Based on the Life Community Theory in a Mountainous and Hilly Area of China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    18. Tong Qiu & Robert Andrus & Marie-Claire Aravena & Davide Ascoli & Yves Bergeron & Roberta Berretti & Daniel Berveiller & Michal Bogdziewicz & Thomas Boivin & Raul Bonal & Don C. Bragg & Thomas Caignar, 2022. "Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    19. Heider, Katharina & Quaranta, Emanuele & García Avilés, José María & Rodriguez Lopez, Juan Miguel & Balbo, Andrea L. & Scheffran, Jürgen, 2022. "Reinventing the wheel – The preservation and potential of traditional water wheels in the terraced irrigated landscapes of the Ricote Valley, southeast Spain," Agricultural Water Management, Elsevier, vol. 259(C).
    20. Tiziano Gomiero, 2016. "Soil Degradation, Land Scarcity and Food Security: Reviewing a Complex Challenge," Sustainability, MDPI, vol. 8(3), pages 1-41, March.

    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:278:y:2023:i:c:s0378377422006667. 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.