Wang et al. (2025) Does the reduction of precipitation always suppress vegetation productivity?

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

Journal: Journal of Plant Ecology
Year: 2025
Date: 2025-11-21
Authors: Mengdie Wang, Chuan Jin, Yao Gao, Weirong Zhang, Kai Di, Yue Jiao, Lianbin Wu, Zeng Fan, Yi Cheng, Nianhui Cai, Siyuan Zhou, Zhongmin Hu
DOI: 10.1093/jpe/rtaf200

Research Groups

Not explicitly detailed in the abstract, but the study utilized data from 77 global sites, implying a collaborative or network-based research effort.

Short Summary

This study developed a new approach combining percentile and standard deviation methods with the SWH model to assess vegetation sensitivity to water deficit across 77 global sites. It found that soil water content (SWC) is a more critical determinant than precipitation (PPT), revealing contrasting responses and an unexpected increase in gross primary productivity (GPP) under SWC deficit due to active transpiration regulation.

Objective

To develop a new approach combining percentile and standard deviation methods to characterize precipitation (PPT) and soil water content (SWC) deficit conditions.
To apply the SWH model to simulate evapotranspiration (ET) processes, separating transpiration (T) from evaporation (E).
To understand vegetation sensitivity to water deficit (SPPT and SSWC) across various ecosystem types and its variation with deficit severity.
To investigate the mechanistic links behind unexpected increases in gross primary productivity (GPP) under SWC deficit conditions.
To assess the relative importance of SWC versus PPT in determining vegetation sensitivity to water deficit.
To highlight the necessity of explicitly considering the differential impacts of evaporation (E) and transpiration (T) on SWC dynamics for comprehensive vegetation drought sensitivity assessments.

Study Configuration

Spatial Scale: 77 global sites, covering various ecosystem types.
Temporal Scale: Not explicitly detailed in the abstract, but implied to cover periods sufficient for flux and meteorological data analysis.

Methodology and Data

Models used: SWH model (for simulating evapotranspiration and separating transpiration from evaporation). A new approach combining percentile and standard deviation methods was developed for characterizing deficit conditions.
Data sources: Flux and meteorological data from 77 global sites.

Main Results

A new approach combining percentile and standard deviation methods effectively characterized precipitation (PPT) and soil water content (SWC) deficit conditions.
Vegetation sensitivity to PPT (SPPT) and SWC (SSWC) deficits varied significantly across ecosystem types, generally intensifying with increasing deficit severity.
Nearly half of the studied sites exhibited contrasting responses, with positive SSWC but negative SPPT, particularly pronounced in forest ecosystems due to likely precipitation legacy effects.
An unexpected increase in gross primary productivity (GPP) was observed under SWC deficit conditions at certain sites.
This GPP increase was mechanistically linked to increased transpiration (T), T/ET ratio, and water use efficiency (WUE).
The study proposed a "growth inertia" mechanism, where plants thriving under prior favorable conditions sustain higher soil water utilization rates and GPP, leading to soil moisture depletion.
Vegetation actively regulates water use to maintain productivity through transpiration-mediated adjustments, challenging conventional views of passive drought responses.
Soil water content (SWC) was found to surpass precipitation (PPT) in determining vegetation sensitivity to water deficit.
Comprehensive vegetation drought sensitivity assessments must explicitly consider the differential impacts of evaporation (E) and transpiration (T) on SWC dynamics.

Contributions

Development of a novel combined percentile and standard deviation method for characterizing water deficit conditions.
Spatially explicit analysis revealing significant variations and contrasting responses of vegetation sensitivity to PPT and SWC deficits across global ecosystems.
Identification and mechanistic explanation of an unexpected increase in GPP under SWC deficit, linking it to active transpiration regulation and a proposed "growth inertia" concept.
Re-evaluation of the relative importance of SWC over PPT in determining vegetation drought sensitivity.
Highlighting the critical need to differentiate between evaporation and transpiration impacts on SWC dynamics for accurate drought assessments.

Funding

Not explicitly detailed in the abstract.

Citation

@article{Wang2025Does,
  author = {Wang, Mengdie and Jin, Chuan and Gao, Yao and Zhang, Weirong and Di, Kai and Jiao, Yue and Wu, Lianbin and Fan, Zeng and Cheng, Yi and Cai, Nianhui and Zhou, Siyuan and Hu, Zhongmin},
  title = {Does the reduction of precipitation always suppress vegetation productivity?},
  journal = {Journal of Plant Ecology},
  year = {2025},
  doi = {10.1093/jpe/rtaf200},
  url = {https://doi.org/10.1093/jpe/rtaf200}
}

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Original Source: https://doi.org/10.1093/jpe/rtaf200