Unraveling the phenomenon of supply-demand feedback in agricultural water interventions

Unraveling the phenomenon of supply-demand feedback in agricultural water interventions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Unraveling the phenomenon of supply-demand feedback in agricultural water interventions Mohammad Faiz Alam, Michael McClain, Alok Sikka, Dipaka Sena, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4184012/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract The human-water feedbacks associated with agricultural water interventions may result in unintended and adverse externalities such as the phenomenon of supply-demand feedback, i.e. of increasing water demand in response to measures that enhance water supply. By integrating a spatially explicit hydrological model with a farmer’s behavioral module, simulated using Risks-Attitudes-Norms-Abilities-Self-regulation (RANAS) behavioral theory based on household surveys and rules derived from observed data, this paper emulates the phenomenon of supply-demand feedback. The Kamadhiya catchment in India is studied, where the decisions of 38,447 farmers in response to the intensive development of check dams (CDs) are simulated. The results show that the perceived increase in water supply from CDs has led nearby farmers to increase their cotton and wheat cultivation areas by 11.9% and 36.1%, respectively. This increase in demand has nullified the expected benefits from CD recharge with approximately 54.0% of the additional recharge being used for expanding irrigation for cotton and wheat, and lowering groundwater levels by 1.0 m. These findings underscore the need to critically understand human-water feedbacks that lead to unintended consequences and inform future investments in agricultural water interventions. Scientific community and society/Agriculture Scientific community and society/Water resources Scientific community and society/Social sciences/Decision making Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SupplmentarydataNATSUS.docx Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4184012","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":288660886,"identity":"fd464427-1d9f-4e5c-8d92-03ee13a60005","order_by":0,"name":"Mohammad Faiz 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