Unraveling the phenomenon of supply‐demand feedback in agricultural water interventions
| dc.creator | Alam, Faiz | |
| dc.creator | McClain, M. E. | |
| dc.creator | Sikka, Alok | |
| dc.creator | Sena, Dipaka Ranjan | |
| dc.creator | Pande, S. | |
| dc.date | 2025-10 | |
| dc.date | 2025-10-09T06:58:26Z | |
| dc.date | 2025-10-09T06:58:26Z | |
| dc.date.accessioned | 2026-06-27T18:31:59Z | |
| dc.description | The Agricultural water interventions can trigger human-water feedback, including unintended supply demand feedback—where increased water availability drives greater water use. In the Kamadhiya catchment, India, the introduction of check dams (CDs) led to a shift toward more water-intensive crops like cotton and wheat. This study formulates and tests hypotheses to understand these dynamics using an agent-based model (ABM) that integrates a spatially explicit hydrological model with a farmer behavior module. The ABM simulates 38,447 farmers using the RANAS behavioral framework, based on household surveys and observed data. Model results confirm the hypothesized feedback: increased water from CDs led to an 11.9% rise in cotton and 36.1% in wheat areas, boosting incomes and increasing adoption of drip and borewell irrigation, particularly near CDs. While drip irrigation systems improve water efficiency and post-monsoon groundwater levels, the saved water enables further wheat expansion—triggering a second supply demand feedback loop. These changes are spatially concentrated near CDs, exacerbating within-catchment disparities. Overall, about 54% of the additional recharge is used for irrigation expansion, lowering groundwater levels by 1.0 m and reducing the net benefit of recharge interventions. These findings underscore the need to critically understand human-water feedback and value of ABM as a tool to support more informed planning by offering strategies that mitigate negative externalities. | |
| dc.identifier | https://hdl.handle.net/10568/176905 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/158643 | |
| dc.language | en | |
| dc.publisher | Wiley | |
| dc.rights | Open Access | |
| dc.source | Alam, M. F.; McClain, M. E.; Sikka, A.; Sena, D. R.; Pande, S. 2025. Unraveling the phenomenon of supply‐demand feedback in agricultural water interventions. Earth's Future, 13(10):e2025EF005990. doi: https://doi.org/10.1029/2025EF005990 | |
| dc.subject | agricultural water management | |
| dc.subject | water availability | |
| dc.subject | groundwater recharge | |
| dc.subject | check dams | |
| dc.subject | irrigation | |
| dc.subject | farmers | |
| dc.subject | simulation models | |
| dc.title | Unraveling the phenomenon of supply‐demand feedback in agricultural water interventions | |
| dc.type | Journal Article |
