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Irrigation modelling needs better epistemology

Nature Reviews Earth & Environment volume 4, pages 427–428 (2023)Cite this article

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Modelling of irrigation water withdrawals aims for accurate and relatively objective estimates, but three epistemological obstacles (models’ elusive tie to reality, model plurality and indeterminacy of the target system) make this premise unattainable. However, if used to explore possibilities within the known and unknown, irrigation models can overcome these problems to inform action.

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References

  1. Puy, A., Lankford, B., Meier, J., van der Kooij, S. & Saltelli, A. Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies. Environ. Res. Lett. 17, 044014 (2022).

    Article  Google Scholar 

  2. Duhem, P. The Aim and Structure of Physical Theory 4th edn (Atheneum, New York, 1981).

  3. Liu, X. et al. Comparison of 16 models for reference crop evapotranspiration against weighing lysimeter measurement. Agric. Water Manag. 184, 145–155 (2017).

    Article  Google Scholar 

  4. Puy, A. et al. The delusive accuracy of global irrigation water withdrawal estimates. Nat. Commun. 13, 3183 (2022).

    Article  Google Scholar 

  5. Bhakthavatsalam, S. & Cartwright, N. What’s so special about empirical adequacy? Eur. J. Philos. Sci. 7, 445–465 (2017).

    Article  Google Scholar 

  6. Lankford, B. & Beale, T. Equilibrium and non-equilibrium theories of sustainable water resources management: Dynamic river basin and irrigation behaviour in Tanzania. Glob. Environ. Change 17, 168–180 (2007).

    Article  Google Scholar 

  7. Cartwright, N. How the Laws of Physics Lie (Oxford University Press, 1983).

  8. Elgin, C. Models as felicitous falsehoods. Principia 26, 7–23 (2022).

    Article  Google Scholar 

  9. Massimi, M. Perspectival Realism (Oxford University Press, 2022).

  10. Saltelli, A. & Di Fiore, M. The Politics of Modelling (Oxford University Press, 2023).

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Acknowledgements

We thank J. Larsen for insights on crop evapotranspiration processes. All errors and misinterpretations are our own. This work was funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (EP/Y02463X/1).

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Authors and Affiliations

  1. School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK

    Arnald Puy

  2. School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK

    Michela Massimi

  3. School of International Development, University of East Anglia, Norwich, UK

    Bruce Lankford

  4. Barcelona School of Management, Pompeu Fabra University, Barcelona, Spain

    Andrea Saltelli

Authors
  1. Arnald Puy
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  2. Michela Massimi
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  3. Bruce Lankford
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  4. Andrea Saltelli
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Correspondence to Arnald Puy.

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Puy, A., Massimi, M., Lankford, B. et al. Irrigation modelling needs better epistemology. Nat Rev Earth Environ 4, 427–428 (2023). https://doi.org/10.1038/s43017-023-00459-0

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