Intensifying drought risk weakens vegetation resilience in global drylands

Kong, Zijie

Description

Monitoring changes in drought-induced vegetation loss risk and ecosystem resilience is crucial for understanding the stability of dryland ecosystems under a warming climate. Using long-term satellite vegetation indices and hydroclimatic drivers, we mapped historical drought-induced vegetation loss risk and vegetation resilience across global drylands and projected their future changes under CMIP6 SSP scenarios. We further applied machine-learning models to quantify the relative importance of key drivers and to support attribution of resilience changes. These analyses advance mechanistic understanding of drought-driven risk and resilience dynamics, supporting dryland ecological restoration and adaptive management.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

88%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Global and Planetary Change

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

65%

Source

Scholar Data Model

Keywords

Ecological impacts of climate change and ecological adaptation

Normalization Factors

FT

40.38

CTw

1.00

MTw

1.00