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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Drylands

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1652080

This article is part of the Research TopicWater-Related Ecosystems in Drylands: Water Dynamics, Carbon Storage and Resilience to Climate Change and Human ActionsView all articles

Widespread declining in vegetation climate sensitivity across Central Asia

Provisionally accepted
Ping  JiangPing Jiang1Yue  ZhangYue Zhang1*Tuanhui  WangTuanhui Wang2Keremu  GuzainuerKeremu Guzainuer1
  • 1School of Geography and Tourism, Xinjiang Normal University, Urumqi, China
  • 2Nanjing Normal University, Nanjing, China

The final, formatted version of the article will be published soon.

As the world's largest azonal arid region, Central Asia harbors fragile ecosystems that are highly sensitive to shifts in climate patterns. However, the spatiotemporal dynamics of vegetation sensitivity and their underlying drivers in this region remain poorly understood. Here, we assessed vegetation responses to climate variability from 1982 to 2022 using the longest available time series of vegetation indices and the Vegetation Sensitivity Index (VSI) metric. Results revealed high VSI (> 50) in humid-region forests and shrubs as well as in semi-arid rainfed croplands, while arid zones generally exhibited low VSI values (< 30). Relationship between VSI and aridity was observed across most vegetation types, excluding rainfed agriculture and sparse vegetation. Temporally, the VSI in Central Asia showed a clear declining trend, with the rate of decrease accelerating after 1995 from –0.274 to –0.476. Spatially, approximately 82% of vegetated areas showed declining VSI trends over the past four decades, with 49% exhibiting statistically significant decreases. Temperature and atmospheric CO₂ concentration were identified as primary drivers of VSI trends, with warming promoting and CO₂ largely suppressing vegetation sensitivity. Water availability—including precipitation and soil moisture—also exerted notable regulatory influence on VSI dynamics. These findings address critical knowledge gaps in the understanding of vegetation–climate interactions in Central Asia and offer valuable insights for projecting ecosystem responses under future climate scenarios.

Keywords: climate variability, Vegetation sensitivity, Spatiotemporal variations, Potential mechanisms, CentralAsia

Received: 23 Jun 2025; Accepted: 15 Oct 2025.

Copyright: © 2025 Jiang, Zhang, Wang and Guzainuer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yue Zhang, zhangyuexinjiang@163.com

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