Han et al. (2025) Vegetation greenness and productivity recovery following the 2022 record-breaking compound soil moisture and atmospheric drought in Yangtze River Basin

Identification

• Journal: Journal of Hydrology
• Year: 2025
• Date: 2025-12-05
• Authors: Huiming Han, Chun Fu
• DOI: 10.1016/j.jhydrol.2025.134705

Research Groups

• School of Infrastructure Engineering, Nanchang University, Nanchang, China
• Jiangxi Academy of Water Science and Engineering, Nanchang, China
• Jiangxi Regional Economic Research Center, Nanchang, China

Short Summary

This study investigates the daily-scale recovery patterns and drivers of vegetation greenness (NDVI) and productivity (GPP) in the Yangtze River Basin following the 2022 record-breaking compound drought, revealing distinct recovery times and influencing factors for each.

Objective

• To investigate the daily-scale recovery of vegetation greenness (normalized difference vegetation index, NDVI) and productivity (gross primary productivity, GPP) in the Yangtze River Basin post-CD2022.
• To identify the key factors regulating greenness and productivity recovery following the extreme drought.

Study Configuration

• Spatial Scale: Yangtze River Basin (YRB)
• Temporal Scale: Daily-scale recovery analysis following the 2022 compound drought event. Recovery times (Trec) are quantified in days.

Methodology and Data

• Models used: Vegetation indices (Normalized Difference Vegetation Index, NDVI; Gross Primary Productivity, GPP) were analyzed.
• Data sources: Satellite-derived vegetation greenness (NDVI) and productivity (GPP) data, along with environmental variables such as soil moisture, precipitation, and surface solar radiation.

Main Results

• During the 2022 compound drought, the average maximum decrease in GPP reached 27.2 %, and in NDVI reached 13.3 %.
• GPP exhibited a significantly longer average decline time than NDVI, yet its recovery time (Trec) was shorter than that of NDVI.
• Broadleaf forests demonstrated the fastest recovery, with average NDVI Trec of 46.4 days and average GPP Trec of 17.7 days.
• Key factors regulating greenness recovery (NDVI) include the initial NDVI decrease, soil moisture, and precipitation during the recovery phase.
• Key factors influencing productivity recovery (GPP) are primarily the initial GPP decrease, precipitation, and surface solar radiation during the recovery phase.

Contributions

• Provides a daily-scale analysis of vegetation greenness and productivity recovery following an extreme compound drought, offering a finer temporal resolution than many previous studies.
• Highlights distinct recovery patterns and influencing factors for vegetation greenness versus productivity, advancing the understanding of ecosystem responses to extreme climate events.
• Offers crucial insights for assessing and enhancing ecosystem resilience to future climate extremes in the Yangtze River Basin and similar regions.

Funding

Not specified in the provided text.

Citation

@article{Han2025Vegetation,
  author = {Han, Huiming and Fu, Chun},
  title = {Vegetation greenness and productivity recovery following the 2022 record-breaking compound soil moisture and atmospheric drought in Yangtze River Basin},
  journal = {Journal of Hydrology},
  year = {2025},
  doi = {10.1016/j.jhydrol.2025.134705},
  url = {https://doi.org/10.1016/j.jhydrol.2025.134705}
}

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