Tang et al. (2024) Increased Sensitivity and Accelerated Response of Vegetation to Water Variability in China from 1982 to 2022

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Identification

• Journal: Water
• Year: 2024
• Date: 2024-09-20
• Authors: Huan Tang, Jiawei Fang, Yang Li, Jing Yuan
• DOI: 10.3390/w16182677

Research Groups

Not specified

Short Summary

This study evaluates the sensitivity and response lag of vegetation growth to water availability across China from 1982 to 2022, finding that most vegetation is positively sensitive to water and has become increasingly susceptible to drought over time.

Objective

• To investigate the spatial–temporal variability of sensitivity and response lag in vegetation growth in response to water variability across China.

Study Configuration

• Spatial Scale: National (China)
• Temporal Scale: 1982–2022 (41 years)

Methodology and Data

• Models used: Standardized Precipitation Evapotranspiration Index (SPEI 1 to 24)
• Data sources: Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index (GIMMS NDVI4g)

Main Results

• Over 83% of China's vegetation demonstrates positive sensitivity to water availability.
• Approximately 66% of vegetation exhibits a short response lag (< 1 month).
• Sensitivity and lag patterns vary according to aridity gradients and plant functional types.
• Over the 41-year study period, 66% of vegetation showed increased sensitivity to water variability and 63% manifested a short response lag.

Contributions

• Provides updated evidence on the plant-water relationship using the NDVI4g dataset, highlighting a heightened susceptibility of Chinese vegetation to drought under future warming scenarios.

Funding

Not specified

Citation

@article{Tang2024Increased,
  author = {Tang, Huan and Fang, Jiawei and Li, Yang and Yuan, Jing},
  title = {Increased Sensitivity and Accelerated Response of Vegetation to Water Variability in China from 1982 to 2022},
  journal = {Water},
  year = {2024},
  doi = {10.3390/w16182677},
  url = {https://doi.org/10.3390/w16182677}
}