Increasing Extreme Negative Vegetation Responses to Drought-Related Compound Events
Journal article, 2026

Vegetation growth is increasingly threatened by both extreme climate events and anthropogenic disturbances. Although considerable attention has been given to detecting large-scale vegetation anomalies, comprehensive analyses of the spatiotemporal dynamics of negative extreme anomalies in vegetation growth (NEGs) and their underlying drivers remain limited. Here, we treat NEGs as event-scale vegetation declines from onset to termination, enabling coherent tracking of vegetation decline events and their associated drivers. Applied to global leaf area index (LAI) data from 2001 to 2024, we find increasing tendencies in both NEG frequency (0.07% year-1, p = 0.13) and affected area (394,471 km2 year-1, p = 0.04), reaching 39% of the global land surface by 2024. Interannual variations in NEG frequency and affected area show positive associations with annual mean CO2 anomalies, which may suggest a potential influence on the stability of the terrestrial carbon sink. Coincidence analysis further indicates that drought-related events dominate globally: single-driver drought events, together with drought-related compound events involving temperature extremes and wildfires, account for 58.5%-59.8% of all NEGs. By the end of the 21st century, up to 50.8% of the global land surface is projected to experience NEGs annually under the high-emission scenario, approximately 1.6 times the simulated historical level. These findings highlight the urgent need for climate mitigation to reduce the intensification of compound climate extremes and underscore the importance of understanding how these events may destabilize ecosystems and amplify climate feedbacks in a warming world.

event‐based analysis

negative extreme vegetation anomalies (NEGs)

drought‐related stressors

compound climate extremes

terrestrial carbon sink

vegetation stress

Author

Haoxiang Zhao

Tsinghua University

Beijing Normal University

Jingfeng Xiao

University of New Hampshire

Wei Li

Tsinghua University

Hans Chen

Chalmers, Space, Earth and Environment, Geoscience and Remote Sensing

Shuiqing Yin

Beijing Normal University

Wenping Yuan

Beijing University of Technology

Ziqian Zhong

Chalmers, Space, Earth and Environment, Geoscience and Remote Sensing

Lanlan Guo

Beijing Normal University

Yang Chu

Beijing Normal University

Tiewei Li

Tsinghua University

Bin He

Tsinghua University

Global Change Biology

1354-1013 (ISSN) 1365-2486 (eISSN)

Vol. 32 10 e71136-

Subject Categories (SSIF 2025)

Physical Geography

Climate Science

DOI

10.1111/gcb.71136

PubMed

42817786

More information

Latest update

10/12/2026