Agroseismology and the impact of farming practices on soil hydrodynamics

• 成果类型: Article
• 署名作者: Shi, Qibin; Montgomery, David R.; Swann, Abigail L. S.; Cristea, Nicoleta C.; Williams, Ethan F.; You, Nan; Jeffery, Simon; Collins, Joe; Barrio, Ana Prada; Misiewicz, Paula A.; Nissen-Meyer, Tarje; Denolle, Marine A.
• 署名单位: Chinese Academy of Sciences; Nanjing Institute of Geology & Paleontology, CAS; Institute of Geology & Geophysics, CAS; Rice University; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of California System; University of California Santa Cruz; Purdue University System; Purdue University; Harper Adams University; University of Exeter
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-8075; 1095-9203
• DOI: 10.1126/science.aec0970
• 发表日期: 2026-04-16
• 页码: 306-310
• 关键词: seasonal cycle; REPRESENTATION; models; scale; depth; field

摘要

The impacts of farming practices on soil hydrodynamics are central to understanding agricultural landscapes covering almost half of the world's habitable land. Combining observations from distributed acoustic sensing with physics-based hydromechanical modeling, we tracked minute-resolution and meter-scale seismic and hydrological changes across agricultural fields with controlled histories of tillage and compaction. We show that dynamic capillary effects in soil govern transient stiffness and moisture redistribution in disturbed soils, producing sharp post-rain velocity drops from near-surface saturation and large hysteretic velocity rebounds driven by evapotranspiration. Our seismically inverted estimates of saturation reveal how disturbance alters flux partitioning and storage, establishing agroseismology and distributed acoustic sensing as scalable, noninvasive probes of soil hydromechanics with the potential to improve Earth system models, land management, and hazard resilience.