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Widely cited global irrigation statistics lack empirical support

  • Arnald Puy*
  • , Seth Nathaniel Linga
  • , Nanxin Wei
  • , Samuel Flinders
  • , Bethan Callow
  • , Grace Allen
  • , Beatrice Cross
  • , Carmen Aguiló-Rivera
  • , Bruce Lankford
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

A prevailing notion in sustainability science is that irrigated agriculture underpins global food and water security because it accounts for 40% of crop production and 70% of freshwater withdrawals. Through a network citation analysis of 3,500 documents, we reveal that this belief has spread through the literature with minimal empirical support: 60–80% of all citation paths lead to sources that lack supporting data or that do not even contain the 40 or 70% numbers. We also demonstrate that these figures mask a much more uncertain contribution of irrigation to global crop production and water withdrawals, which can lie anywhere between 18–50 and 45–90%, respectively. These ranges should be understood as lower bounds on the true uncertainty. Our findings underscore the need to rigorously evaluate foundational claims in sustainability science and embrace ambiguity to produce robust research and policy-making.
Original languageEnglish
Article numberpgaf323
Number of pages12
JournalPNAS nexus
Volume4
Issue number11
DOIs
Publication statusPublished - 11 Nov 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • uncertainty
  • modeling
  • hydrology
  • sustainability
  • agriculture

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