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SWAP 50 years: Advances in modelling soil-water-atmosphere-plant interactions

Author

Listed:
  • Heinen, Marius
  • Mulder, Martin
  • van Dam, Jos
  • Bartholomeus, Ruud
  • de Jong van Lier, Quirijn
  • de Wit, Janine
  • de Wit, Allard
  • Hack - ten Broeke, Mirjam

Abstract

This paper highlights the evolution and impact of the SWAP model (Soil – Water – Atmosphere – Plant), which was initiated by R.A. Feddes and colleagues fifty years ago, in 1974. Since then, the SWAP model has played a crucial role in the advancement of agrohydrology. This paper highlights some major advances that have been made, especially focussing on the last fifteen years. The domain of the SWAP model deals with the simulation of the soil water balance in both unsaturated and saturated conditions. The model solves the Richards equation using the water retention and hydraulic conductivity functions as described by the Van Genuchten – Mualem equations. Bimodal extensions of the Van Genuchten - Mualem relationships have been implemented, as well as modifications near saturation and addressing hysteresis. An important sink term in the Richards equation is root water uptake. Crop development plays an important role in a robust simulation of root water uptake. That is why a link has been made with the dynamic crop growth model WOFOST. Instead of using a prescribed crop development, a distinction between potential and actual crop development is calculated by reducing the potential photosynthesis as a result of water or oxygen stress. Since the early days of SWAP, empirical and macroscopic concepts have been used to simulate root water uptake. Recently two process-based concepts of root water uptake and oxygen stress have also been implemented. Another important sink-source term in the Richards equation is the interaction with artificial drains. In SWAP, drainage can be simulated by either using prescribed or simulated drain heads and simulation of controlled drainage with subirrigation is possible. Finally, we briefly elaborate on three studies using SWAP: water stresses in agriculture in the Netherlands, regional water productivity in China, and controlled drainage with subirrigation. We finish discussing promising developments for the near future.

Suggested Citation

  • Heinen, Marius & Mulder, Martin & van Dam, Jos & Bartholomeus, Ruud & de Jong van Lier, Quirijn & de Wit, Janine & de Wit, Allard & Hack - ten Broeke, Mirjam, 2024. "SWAP 50 years: Advances in modelling soil-water-atmosphere-plant interactions," Agricultural Water Management, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:agiwat:v:298:y:2024:i:c:s037837742400218x
    DOI: 10.1016/j.agwat.2024.108883
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    References listed on IDEAS

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    1. Jarvis, Nicholas & Larsbo, Mats & Lewan, Elisabet & Garré, Sarah, 2022. "Improved descriptions of soil hydrology in crop models: The elephant in the room?," Agricultural Systems, Elsevier, vol. 202(C).
    2. Li, Pei & Ren, Li, 2023. "Evaluating the differences in irrigation methods for winter wheat under limited irrigation quotas in the water-food-economy nexus in the North China Plain," Agricultural Water Management, Elsevier, vol. 289(C).
    3. Scott Jasechko & Zachary D. Sharp & John J. Gibson & S. Jean Birks & Yi Yi & Peter J. Fawcett, 2013. "Terrestrial water fluxes dominated by transpiration," Nature, Nature, vol. 496(7445), pages 347-350, April.
    4. Bonfante, A. & Sellami, M.H. & Abi Saab, M.T. & Albrizio, R. & Basile, A. & Fahed, S. & Giorio, P. & Langella, G. & Monaco, E. & Bouma, J., 2017. "The role of soils in the analysis of potential agricultural production: A case study in Lebanon," Agricultural Systems, Elsevier, vol. 156(C), pages 67-75.
    5. Victor Meriguetti Pinto & Jos C. van Dam & Quirijn de Jong van Lier & Klaus Reichardt, 2019. "Intercropping Simulation Using the SWAP Model: Development of a 2×1D Algorithm," Agriculture, MDPI, vol. 9(6), pages 1-19, June.
    6. de Wit, Allard & Boogaard, Hendrik & Fumagalli, Davide & Janssen, Sander & Knapen, Rob & van Kraalingen, Daniel & Supit, Iwan & van der Wijngaart, Raymond & van Diepen, Kees, 2019. "25 years of the WOFOST cropping systems model," Agricultural Systems, Elsevier, vol. 168(C), pages 154-167.
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