Agriculture's impact on water-energy balance varies across climates
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F25%3A103597" target="_blank" >RIV/60460709:41330/25:103597 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1073/pnas.2410521122" target="_blank" >https://doi.org/10.1073/pnas.2410521122</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1073/pnas.2410521122" target="_blank" >10.1073/pnas.2410521122</a>
Alternative languages
Result language
angličtina
Original language name
Agriculture's impact on water-energy balance varies across climates
Original language description
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 K & ouml;ppen-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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10510 - Climatic research
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Proceedings of the national Academy of Sciences of the United States of America
ISSN
0027-8424
e-ISSN
0027-8424
Volume of the periodical
122
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
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UT code for WoS article
001459444300001
EID of the result in the Scopus database
2-s2.0-105000738393