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Water (stress) models and deficit irrigation: System-theoretical description and causality mapping

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  • Kögler, F.
  • Söffker, D.

Abstract

Irrigated agriculture has the potential to contribute substantially to food security if solutions for more moderate fresh water consumption in irrigation can be provided. Actual and predicted future fresh water withdrawals by the agricultural sector impair seriously the sustainability of global freshwater resources. Deficit irrigation (DI) is a crop cultivation practice allowing to save up to 20–40% irrigation water at yield reductions below 10%. A prevalent application of DI in irrigated agriculture represents a serious option to preserve scarce water resources. The water savings in DI result from plant internal dynamic processes leading to more efficient water use. Therefore it is assumed that irrigation can be controlled at the state/point of time of optimal plant water use, if irrigation methods comprise models for dynamical plant behavior. Overall target of this contribution is to provide an overview about the state-of-the-art in modeling irrigation approaches used for DI. The mapping of DI considerations by integration of models for dynamic plant behavior in irrigation methods, and consequently in ecological considerations of land use und fresh water balance is particularly considered. In this contribution, based on a comprehensive literature review soil-, plant-, and atmosphere-based irrigation approaches are comparatively described. The related conversion of system output variables into irrigation variables is depicted in a causality mapping overview. The presented descriptions are consistently structured according to system-theoretical taxonomy making them accessible to various control aspects. It can be stated that none of the presented irrigation approaches and crop models by itself provides all relevant variables necessary to realize irrigation based on the actual crop water demand for deficit irrigation purposes. This indicates starting points for further research to align irrigation to DI requirements and to improve efficiency of water use in agriculture. The consideration of dynamical behavior of crops in ecological models on larger scale could further improve simulation results and predictions regarding the sustainability of agricultural fresh water consumption and water balance. The review is structured as follows: After a short introduction (Section 1), basic crop water status and stress terms are briefly presented in Section 2. Then, the object of investigation is specified (Section 3). In the main Section 4 a short introduction to system theory is given specified by correspondingly detailed descriptions and causality mapping of each system identified: Soil system (Section 4.1), plant system (Section 4.2), and atmosphere system (Section 4.3). Summarizing, comparative remarks (Section 5) and a tabulated overview about the major system-theoretical characteristics of the presented irrigation approaches (Section 6) are given.

Suggested Citation

  • Kögler, F. & Söffker, D., 2017. "Water (stress) models and deficit irrigation: System-theoretical description and causality mapping," Ecological Modelling, Elsevier, vol. 361(C), pages 135-156.
  • Handle: RePEc:eee:ecomod:v:361:y:2017:i:c:p:135-156
    DOI: 10.1016/j.ecolmodel.2017.07.031
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    References listed on IDEAS

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    1. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    2. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    3. Marco Bittelli, 2010. "Measuring Soil Water Potential for Water Management in Agriculture: A Review," Sustainability, MDPI, vol. 2(5), pages 1-26, May.
    4. Green, Steve R. & Kirkham, M.B. & Clothier, Brent E., 2006. "Root uptake and transpiration: From measurements and models to sustainable irrigation," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 165-176, November.
    5. Lehmann, Niklaus & Finger, Robert & Klein, Tommy & Calanca, Pierluigi & Walter, Achim, 2013. "Adapting crop management practices to climate change: Modeling optimal solutions at the field scale," Agricultural Systems, Elsevier, vol. 117(C), pages 55-65.
    6. Gowing, J. W. & Ejieji, C. J., 2001. "Real-time scheduling of supplemental irrigation for potatoes using a decision model and short-term weather forecasts," Agricultural Water Management, Elsevier, vol. 47(2), pages 137-153, March.
    7. Ben-Gal, Alon & Kool, Dilia & Agam, Nurit & van Halsema, Gerardo E. & Yermiyahu, Uri & Yafe, Ariel & Presnov, Eugene & Erel, Ran & Majdop, Ahmed & Zipori, Isaac & Segal, Eran & Rüger, Simon & Zimmerma, 2010. "Whole-tree water balance and indicators for short-term drought stress in non-bearing 'Barnea' olives," Agricultural Water Management, Elsevier, vol. 98(1), pages 124-133, December.
    8. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    9. Abrisqueta, J.M. & Mounzer, O. & Álvarez, S. & Conejero, W. & Garci­a-Orellana, Y. & Tapia, L.M. & Vera, J. & Abrisqueta, I. & Ruiz-Sánchez, M.C., 2008. "Root dynamics of peach trees submitted to partial rootzone drying and continuous deficit irrigation," Agricultural Water Management, Elsevier, vol. 95(8), pages 959-967, August.
    10. Guerra, L.C. & Garcia y Garcia, A. & Hook, J.E. & Harrison, K.A. & Thomas, D.L. & Stooksbury, D.E. & Hoogenboom, G., 2007. "Irrigation water use estimates based on crop simulation models and kriging," Agricultural Water Management, Elsevier, vol. 89(3), pages 199-207, May.
    11. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    12. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    13. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    14. Ahmadi, Seyed Hamid & Agharezaee, Mohammad & Kamgar-Haghighi, Ali Akbar & Sepaskhah, Ali Reza, 2014. "Effects of dynamic and static deficit and partial root zone drying irrigation strategies on yield, tuber sizes distribution, and water productivity of two field grown potato cultivars," Agricultural Water Management, Elsevier, vol. 134(C), pages 126-136.
    15. Levidow, Les & Zaccaria, Daniele & Maia, Rodrigo & Vivas, Eduardo & Todorovic, Mladen & Scardigno, Alessandra, 2014. "Improving water-efficient irrigation: Prospects and difficulties of innovative practices," Agricultural Water Management, Elsevier, vol. 146(C), pages 84-94.
    16. Suleiman, Ayman A. & Tojo Soler, Cecilia M. & Hoogenboom, Gerrit, 2007. "Evaluation of FAO-56 crop coefficient procedures for deficit irrigation management of cotton in a humid climate," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 33-42, July.
    17. Hook, James E., 1994. "Using crop models to plan water withdrawals for irrigation in drought years," Agricultural Systems, Elsevier, vol. 45(3), pages 271-289.
    18. Davis, S.L. & Dukes, M.D. & Miller, G.L., 2009. "Landscape irrigation by evapotranspiration-based irrigation controllers under dry conditions in Southwest Florida," Agricultural Water Management, Elsevier, vol. 96(12), pages 1828-1836, December.
    19. Sebastian Kloss & Raji Pushpalatha & Kefasi Kamoyo & Niels Schütze, 2012. "Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(4), pages 997-1014, March.
    20. Jensen, Christian R. & Battilani, Adriano & Plauborg, Finn & Psarras, Georgios & Chartzoulakis, Kostas & Janowiak, Franciszek & Stikic, Radmila & Jovanovic, Zorica & Li, Guitong & Qi, Xuebin & Liu, Fu, 2010. "Deficit irrigation based on drought tolerance and root signalling in potatoes and tomatoes," Agricultural Water Management, Elsevier, vol. 98(3), pages 403-413, December.
    21. Ko, Jonghan & Piccinni, Giovanni, 2009. "Corn yield responses under crop evapotranspiration-based irrigation management," Agricultural Water Management, Elsevier, vol. 96(5), pages 799-808, May.
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