Zou et al. (2026) Unraveling the Hydrological Dimension of Ecosystem Resilience: Drought-Induced Response of Water Retention and Nonlinear Drivers

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-02-04
• Authors: Yi Zou, Yungang Li
• DOI: 10.17632/4fv6hbrfvt.1

Research Groups

• Yunnan University

Short Summary

This paper presents a dataset designed to investigate the hydrological factors and their nonlinear drivers influencing ecosystem resilience, particularly in response to drought-induced water retention changes.

Objective

• To provide a comprehensive dataset for studying the key hydrological factors and their nonlinear drivers that influence ecosystem resilience, with a specific focus on drought-induced responses of water retention.

Study Configuration

• Spatial Scale: Not specified in the provided text.
• Temporal Scale: Not specified in the provided text.

Methodology and Data

• Models used: Optimal-parameter geographic detector (OPGD)
• Data sources: The dataset itself, comprising key influencing factors identified by OPGD and the corresponding OPGD results.

Main Results

• The paper delivers a comprehensive dataset containing key influencing factors and their optimal-parameter geographic detector (OPGD) results, specifically curated for studying ecosystem resilience and drought-induced water retention responses.

Contributions

• This work contributes a novel dataset specifically curated to investigate the hydrological dimension of ecosystem resilience, offering pre-processed results from the optimal-parameter geographic detector (OPGD) to facilitate research into nonlinear drivers of drought-induced water retention responses.

Funding

• Not specified in the provided text.

Citation

@article{Zou2026Unraveling,
  author = {Zou, Yi and Li, Yungang},
  title = {Unraveling the Hydrological Dimension of Ecosystem Resilience: Drought-Induced Response of Water Retention and Nonlinear Drivers},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/4fv6hbrfvt.1},
  url = {https://doi.org/10.17632/4fv6hbrfvt.1}
}