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Section 1: Publication
Publication Type
Journal Article
Authorship
Zaerpour M., Hatami S., Ballarin A. S., Papalexiou S. M., Pietroniro A., Nazemi A.
Title
Agriculture’s impact on water–energy balance varies across climates
Year
2025
Publication Outlet
Proceedings of the National Academy of Sciences, Vol 122, Iss 12
DOI
ISBN
ISSN
Citation
Zaerpour M., Hatami S., Ballarin A. S., Papalexiou S. M., Pietroniro A., Nazemi A. (2025) Agriculture’s impact on water–energy balance varies across climates, Proceedings of the National Academy of Sciences, Vol 122, Iss 12,
https://doi.org/10.1073/pnas.2410521122
Abstract
Agriculture is a cornerstone of global food production, accounting for a substantial portion of water withdrawals worldwide. As the world’s population grows, so does the demand for water in agriculture, leading to alterations in regional water–energy balances. We present an approach to identify the influence of agriculture on the water–energy balance using empirical data. We explore the departure from the Budyko curve for catchments with agricultural expansion and their associations with changes in the water–energy balance using a causal discovery algorithm. Analyzing data from 1,342 catchments across three Köppen-Geiger climate classes—temperate, snowy, and others—from 1980 to 2014, we show that temperate and snowy catchments, which account for over 90% of stations, exhibit distinct patterns. Cropland percentage (CL%) emerges as the dominant factor, explaining 47 and 37% of the variance in deviations from the Budyko curve in temperate and snowy catchments, respectively. In temperate catchments, CL% shows a strong negative correlation with precipitation-streamflow (P-Q) causal strength (Spearman
p=-0.75), suggesting that cropland exacerbates precipitation-driven deviations. A moderate negative correlation with aridity-streamflow (AR-Q) causal strength (p=-0.42
) indicates additional influences of cropland through aridity-driven interactions. In snowy catchments, CL% is similarly influential, with a positive correlation with P-Q causal strength (p=0.51
). However, the negative correlation with AR-Q causal strength (p=-0.45
) underscores the role of aridity as a secondary driver. While vegetation and precipitation seasonality also contribute to the deviations, their impacts are comparatively lower. These findings underscore the need for inclusion of agricultural activities in changing water–energy balance to secure future water supplies.
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