Dai et al. (2026) Warming and drying conditions enhance advective flux signatures in a subtropical flooded rice paddy: Insights from a 9-year eddy covariance study

Identification

• Journal: Agricultural and Forest Meteorology
• Year: 2026
• Date: 2026-07-13
• Authors: Yulong Dai, Bo Liu, Jun Wei, SHI Yuanzhi, Fangping Liu, Yufeng Luo, Yuanlai Cui
• DOI: 10.1016/j.agrformet.2026.111348

Research Groups

• State Key Laboratory of Water Resources Engineering and Management, Wuhan University
• College of Hydraulic Science and Engineering, Yangzhou University
• College of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University
• The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute
• Jiangxi Central Irrigation Experiment Station

Short Summary

This study examines the impact of warming and drying conditions on advective flux signatures in a subtropical flooded rice paddy using a 9-year eddy covariance dataset. A dynamic Priestley-Taylor α-threshold framework is used to identify advective conditions.

Objective

• Investigate the effect of climate variability on surface energy partitioning in wetland agroecosystems, with a focus on advective land-atmosphere exchange.

Study Configuration

• Spatial Scale: Subtropical flooded rice paddy in Southern China
• Temporal Scale: 9-year eddy covariance dataset (2017–2025)

Methodology and Data

• Models used: Eddy covariance, Priestley-Taylor α-threshold framework
• Data sources: Landsat LST scenes, co-spectral analysis

Main Results

• Latent heat flux frequently exceeded local available energy, particularly in dry and high-Vapor Pressure Deficit (VPD) years.
• The Priestley-Taylor-based advection-related latent heat term explained approximately 63% of residual energy variability.

Contributions

• Provides a site-specific diagnostic of departures from equilibrium evaporation under advective conditions using the dynamic α-threshold framework.
• Highlights the importance of considering spatially heterogeneous thermal conditions in estimating crop water use and managing paddy-field water resources.

Funding

• State Key Laboratory of Water Resources Engineering and Management (Wuhan University)
• National Natural Science Foundation of China (NSFC)

Citation

@article{Dai2026Warming,
  author = {Dai, Yulong and Liu, Bo and Wei, Jun and Yuanzhi, SHI and Liu, Fangping and Luo, Yufeng and Cui, Yuanlai},
  title = {Warming and drying conditions enhance advective flux signatures in a subtropical flooded rice paddy: Insights from a 9-year eddy covariance study},
  journal = {Agricultural and Forest Meteorology},
  year = {2026},
  doi = {10.1016/j.agrformet.2026.111348},
  url = {https://doi.org/10.1016/j.agrformet.2026.111348}
}