Abstract
Preferential flow (PF) in soil causes the rapid transport of water, nutrients, and contaminants into the subsurface, influencing groundwater recharge and streamflow. Data scarcity has hindered the quantification of PF occurrence and the identification of its drivers across diverse ecoregions. We address this gap by analyzing high-frequency, multi-depth soil moisture data across 17 ecoregions in the USA, using ∼1,500 sensors at 40 sites. We discovered that PF is widespread, with sites experiencing PF in up to 60% of rainfall events ≥2 mm. Multiple approaches consistently show that PF is more likely to occur with increased peak rainfall intensity, finer textured material, low soil moisture variability, humid climate, and higher net primary productivity. This suggests that PF patterns could shift with projected climate changes, increasing uncertainty in predictions of groundwater recharge, water quality, and streamflow generation.
| Original language | American English |
|---|---|
| Article number | e2025GL118045 |
| Journal | Geophysical Research Letters |
| Volume | 52 |
| Issue number | 19 |
| DOIs | |
| State | Published - Oct 16 2025 |
| Externally published | Yes |
ASJC Scopus subject areas
- Geophysics
- General Earth and Planetary Sciences
Keywords
- NEON
- peak rainfall intensity
- precipitation
- preferential flow
- soil moisture
- soil texture
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